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zFZ6H)pvns^Ex+ly3A|K(5XuKjpVPc>bIF4Hyi`M2Ol*W7Rz7%wq#2H-4l9a{Ett*+ zsU$Z&^(r5lYNjM zvI}o+myB5o39t)5RfRSOEd}79AVXhOw7}->yC48J0RQIjJH{~ICZ1Ig;(0gK@Dqe; zI0`~FctDgOTot?^XTOi!9bjo9BLv-;V{V;Qs^K CroM;( diff --git a/doc/html/API-Alphabetically.html b/doc/html/API-Alphabetically.html index cc612ceb..04b990af 100644 --- a/doc/html/API-Alphabetically.html +++ b/doc/html/API-Alphabetically.html @@ -1,6 +1,6 @@ - + + + + + + + + + + + + + + + + + + + + + + + -calmonths (Tablicious v0.4.4-SNAPSHOT) +caldays (Tablicious v0.4.4-SNAPSHOT) - + @@ -30,8 +30,8 @@ - - + + + + + + + +

 +
+
+

+Next: datetime.convertDatenumTimeZone, Up: datetime   [Contents]

+
+ + + + + diff --git a/doc/html/datetime_002econvertDatenumTimeZone.html b/doc/html/datetime_002econvertDatenumTimeZone.html index b6c49d6b..e9f007c9 100644 --- a/doc/html/datetime_002econvertDatenumTimeZone.html +++ b/doc/html/datetime_002econvertDatenumTimeZone.html @@ -1,6 +1,6 @@ - + + + + + + + + -datetime.datenum (Tablicious v0.4.4-SNAPSHOT) +datetime.datevec (Tablicious v0.4.4-SNAPSHOT) - + @@ -30,8 +30,8 @@ - - + + - - - - - - - - - - - diff --git a/docs/devel/user-guide/html/API-Reference.html b/docs/devel/user-guide/html/API-Reference.html deleted file mode 100644 index 47c8131c..00000000 --- a/docs/devel/user-guide/html/API-Reference.html +++ /dev/null @@ -1,63 +0,0 @@ - - - - - - -API Reference (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: Tablicious for GNU Octave   [Contents]

-
-
-

8 API Reference

- - -
- - - - - diff --git a/docs/devel/user-guide/html/API-by-Category.html b/docs/devel/user-guide/html/API-by-Category.html deleted file mode 100644 index 1b66d554..00000000 --- a/docs/devel/user-guide/html/API-by-Category.html +++ /dev/null @@ -1,463 +0,0 @@ - - - - - - -API by Category (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: API Reference   [Contents]

-
-
-

8.1 API by Category

- -
-

8.1.1 Tables

-
-
table
-

Tabular data array containing multiple columnar variables. -

-

See table. -

-
array2table
-

Convert an array to a table. -

-

See array2table. -

-
cell2table
-

Convert a cell array to a table. -

-

See cell2table. -

-
struct2table
-

Convert struct to a table. -

-

See struct2table. -

-
tableOuterFillValue
-
- -

See tableOuterFillValue. -

-
vartype
-

Filter by variable type for use in suscripting. -

-

See vartype. -

-
istable
-

True if input is a ‘table’ array or other table-like type, false otherwise. -

-

See istable. -

-
istimetable
-

True if input is a ‘timetable’ array or other timetable-like type, false otherwise. -

-

See istimetable. -

-
istabular
-

True if input is eitehr a ‘table’ or ‘timetable’ array, or an object like them. -

-

See istabular. -

-
tblish.evalWithTableVars
-

Evaluate an expression against a table array’s variables. -

-

See tblish.evalWithTableVars. -

-
tblish.table.grpstats
-

Statistics by group for a table array. -

-

See tblish.table.grpstats. -

-
-
-
-

8.1.2 Strings and Categoricals

-
-
string
-

A string array of Unicode strings. -

-

See string. -

-
NaS
-

“Not-a-String". -

-

See NaS. -

-
contains
-

Test if strings contain a pattern. -

-

See contains. -

-
dispstrs
-

Display strings for array. -

-

See dispstrs. -

-
categorical
-

Categorical variable array. -

-

See categorical. -

-
iscategorical
-

True if input is a ‘categorical’ array, false otherwise. -

-

See iscategorical. -

-
NaC
-

“Not-a-Categorical". -

-

See NaC. -

-
discretize
-

Group data into discrete bins or categories. -

-

See discretize. -

-
-
-
-

8.1.3 Dates and Times

-
-
datetime
-

Represents points in time using the Gregorian calendar. -

-

See datetime. -

-
NaT
-

“Not-a-Time”. -

-

See NaT. -

-
todatetime
-

Convert input to a Tablicious datetime array, with convenient interface. -

-

See todatetime. -

-
localdate
-

Represents a complete day using the Gregorian calendar. -

-

See localdate. -

-
isdatetime
-

True if input is a ‘datetime’ array, false otherwise. -

-

See isdatetime. -

-
calendarDuration
-

Durations of time using variable-length calendar periods, such as days, months, and years, which may vary in length over time. -

-

See calendarDuration. -

-
iscalendarduration
-

True if input is a ‘calendarDuration’ array, false otherwise. -

-

See iscalendarduration. -

-
calmonths
-

Create a ‘calendarDuration’ that is a given number of calendar months long. -

-

See calmonths. -

-
calyears
-

Construct a ‘calendarDuration’ a given number of years long. -

-

See calyears. -

-
days
-

Duration in days. -

-

See days. -

-
duration
-

Represents durations or periods of time as an amount of fixed-length time (i.e. -

-

See duration. -

-
hours
-

Create a ‘duration’ X hours long, or get the hours in a ‘duration’ X. -

-

See hours. -

-
isduration
-

True if input is a ‘duration’ array, false otherwise. -

-

See isduration. -

-
milliseconds
-

Create a ‘duration’ X milliseconds long, or get the milliseconds in a ‘duration’ X. -

-

See milliseconds. -

-
minutes
-

Create a ‘duration’ X hours long, or get the hours in a ‘duration’ X. -

-

See minutes. -

-
seconds
-

Create a ‘duration’ X seconds long, or get the seconds in a ‘duration’ X. -

-

See seconds. -

-
timezones
-

List all the time zones defined on this system. -

-

See timezones. -

-
years
-

Create a ‘duration’ X years long, or get the years in a ‘duration’ X. -

-

See years. -

-
-
-
-

8.1.4 Missing Data

-
-
missing
-

Generic auto-converting missing value. -

-

See missing. -

-
isnanny
-

Test if elements are NaN or NaN-like -

-

See isnanny. -

-
eqn
-

Determine element-wise equality, treating NaNs as equal -

-

See eqn. -

-
-
-
-

8.1.5 Validation Functions

-
-
mustBeA
-
- -

See mustBeA. -

-
mustBeCellstr
-
- -

See mustBeCellstr. -

-
mustBeCharvec
-
- -

See mustBeCharvec. -

-
mustBeFinite
-
- -

See mustBeFinite. -

-
mustBeInteger
-
- -

See mustBeInteger. -

-
mustBeMember
-
- -

See mustBeMember. -

-
mustBeNonempty
-
- -

See mustBeNonempty. -

-
mustBeNumeric
-
- -

See mustBeNumeric. -

-
mustBeReal
-
- -

See mustBeReal. -

-
mustBeSameSize
-
- -

See mustBeSameSize. -

-
mustBeScalar
-
- -

See mustBeScalar. -

-
mustBeScalarLogical
-
- -

See mustBeScalarLogical. -

-
mustBeVector
-
- -

See mustBeVector. -

-
-
-
-

8.1.6 Miscellaneous

-
-
colvecfun
-

Apply a function to column vectors in array. -

-

See colvecfun. -

-
dispstrs
-

Display strings for array. -

-

See dispstrs. -

-
head
-

Get first K rows of an array. -

-

See head. -

-
isfile
-
- -

See isfile. -

-
isfolder
-
- -

See isfolder. -

-
pp
-

Alias for prettyprint, for interactive use. -

-

See pp. -

-
scalarexpand
-

Expand scalar inputs to match size of non-scalar inputs. -

-

See scalarexpand. -

-
size2str
-

Format an array size for display. -

-

See size2str. -

-
splitapply
-

Split data into groups and apply function. -

-

See splitapply. -

-
tail
-

Get last K rows of an array. -

-

See tail. -

-
vecfun
-

Apply function to vectors in array along arbitrary dimension. -

-

See vecfun. -

-
tblish.sizeof2
-

Approximate size of an array in bytes, with object support. -

-

See tblish.sizeof2. -

-
-
-
-

8.1.7 Example Datasets

-
-
tblish.datasets
-

Example dataset collection. -

-

See tblish.datasets. -

-
tblish.dataset
-

The ‘tblish.dataset’ class provides convenient access to the various datasets included with Tablicious. -

-

See tblish.dataset. -

-
-
-
-

8.1.8 Example Code

-
-
tblish.examples.coplot
-

Conditioning plot. -

-

See tblish.examples.coplot. -

-
tblish.examples.plot_pairs
-

Plot pairs of variables against each other. -

-

See tblish.examples.plot_pairs. -

-
tblish.examples.SpDb
-

The classic Suppliers-Parts example database. -

-

See tblish.examples.SpDb. -

-
- -
-
-
-
-

-Next: API Alphabetically, Up: API Reference   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/Copying.html b/docs/devel/user-guide/html/Copying.html deleted file mode 100644 index d5c19272..00000000 --- a/docs/devel/user-guide/html/Copying.html +++ /dev/null @@ -1,99 +0,0 @@ - - - - - - -Copying (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

9 Copying

- - - - - -
- - - - - diff --git a/docs/devel/user-guide/html/Data-Sets-from-R.html b/docs/devel/user-guide/html/Data-Sets-from-R.html deleted file mode 100644 index 8579f224..00000000 --- a/docs/devel/user-guide/html/Data-Sets-from-R.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -Data Sets from R (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - -
-
-

-Up: Example Data Sets   [Contents]

-
-
-

6.1 Data Sets from R

- -

Many of Tablicious’ example data sets are based on the example datasets -found in R’s datasets package. R can be found at -https://www.r-project.org/, and documentation for its datasets -is at https://rdrr.io/r/datasets/datasets-package.html. -Thanks to the R developers for producing the original data sets here. -

-

Tablicious’ examples’ code tries to replicate the R examples, so it can -be useful to compare the two of them if you are moving from one language to -another. -

-

Core Octave currently lacks some of the plotting features found in the R -examples, such as LOWESS smoothing and linear model characteristic plots, so -you will just find “TODO” placeholders for these in Tablicious’ example code. -

-
- - - - - diff --git a/docs/devel/user-guide/html/Date-and-Time-Representation.html b/docs/devel/user-guide/html/Date-and-Time-Representation.html deleted file mode 100644 index 079395b1..00000000 --- a/docs/devel/user-guide/html/Date-and-Time-Representation.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -Date and Time Representation (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

4 Date and Time Representation

- -

Tablicious provides the datetime class for representing points in time. -

-

There’s also duration and calendarDuration for representing -periods or durations of time. Like vector quantities along the time line, -as opposed to datetime being a point along the time line. -

- -
- - - - - diff --git a/docs/devel/user-guide/html/Datenum-Compatibility.html b/docs/devel/user-guide/html/Datenum-Compatibility.html deleted file mode 100644 index 30a120ed..00000000 --- a/docs/devel/user-guide/html/Datenum-Compatibility.html +++ /dev/null @@ -1,89 +0,0 @@ - - - - - - -Datenum Compatibility (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - -
-
-

-Up: datetime Class   [Contents]

-
-
-

4.1.1 Datenum Compatibility

- -

While the underlying data representation of datetime is compatible with -(in fact, identical to) that of datenums, you cannot directly combine them -via assignment, concatenation, or most arithmetic operations. -

-

This is because of the signature of the datetime constructor. When combining -objects and primitive types like double, the primitive type is promoted to an -object by calling the other object’s one-argument constructor on it. However, the -one-argument numeric-input consstructor for datetime does not accept datenums: -it interprets its input as datevecs instead. This is due to a design decision on -Matlab’s part; for compatibility, Octave does not alter that interface. -

-

To combine datetimes with datenums, you can convert the datenums to datetimes -by calling datetime.ofDatenum or datetime(x, 'ConvertFrom', 'datenum'), or you -can convert the datetimes to datenums by accessing its dnums field with -x.dnums. -

-

Examples: -

-
-
dt = datetime('2011-03-04')
-dn = datenum('2017-01-01')
-[dt dn]
-    ⇒ error: datenum: expected date vector containing [YEAR, MONTH, DAY, HOUR, MINUTE, SECOND]
-[dt datetime.ofDatenum(dn)]
-    ⇒ 04-Mar-2011   01-Jan-2017
-
- -

Also, if you have a zoned datetime, you can’t combine it with a datenum, because datenums -do not carry time zone information. -

- -
- - - - - diff --git a/docs/devel/user-guide/html/Defined-Time-Zones.html b/docs/devel/user-guide/html/Defined-Time-Zones.html deleted file mode 100644 index 03b2f665..00000000 --- a/docs/devel/user-guide/html/Defined-Time-Zones.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -Defined Time Zones (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - -
-
-

-Up: Time Zones   [Contents]

-
-
-

4.2.1 Defined Time Zones

- -

Tablicious’s time zone data is drawn from the IANA Time Zone Database, also known as the “Olson Database”. Tablicious includes a -copy of this database in its distribution so it can work on Windows, which does -not supply it like Unix systems do. -

-

You can use the timezones function to list the time zones known to Tablicious. These will be -all the time zones in the IANA database on your system (for Linux and macOS) or in the IANA -time zone database redistributed with Tablicious (for Windows). -

-
-

Note: The IANA Time Zone Database only covers dates from about the year 1880 to 2038. Converting -time zones for datetimes outside that range is currently unimplemented. (Tablicious -needs to add support for proleptic POSIX time zone rules, which are used to govern -behavior outside that date range.) -

- -
- - - - - diff --git a/docs/devel/user-guide/html/Durations.html b/docs/devel/user-guide/html/Durations.html deleted file mode 100644 index cf9cb9d9..00000000 --- a/docs/devel/user-guide/html/Durations.html +++ /dev/null @@ -1,63 +0,0 @@ - - - - - - -Durations (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Previous: , Up: Date and Time Representation   [Contents]

-
-
-

4.3 Durations

- - - -
- - - - - diff --git a/docs/devel/user-guide/html/Example-Data-Sets.html b/docs/devel/user-guide/html/Example-Data-Sets.html deleted file mode 100644 index 6694b557..00000000 --- a/docs/devel/user-guide/html/Example-Data-Sets.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - -Example Data Sets (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

6 Example Data Sets

- -

Tablicious comes with several example data sets that you can use to explore how -its functions and objects work. These are accessed through the -tblish.datasets and tblish.dataset classes. -

-

To see a list of the available data sets, run tblish.datasets.list(). -Then to load one of the example data sets, run -tblish.datasets.load('examplename'). For example: -

-
-
tblish.datasets.list
-t = tblish.datasets.load('cupcake')
-
- -

You can also load it by calling tblish.dataset.<name>. This does -the same thing. For example: -

-
-
t = tblish.dataset.cupcake
-
- -

When you load a data set, it either returns all its data in a single variable -(if you capture it), or loads its data into one or more variables in your -workspace (if you call it with no outputs). -

-

Each example data set comes with help text that describes the data set and -provides examples of how to work with it. This help is found using the doc -command on tblish.dataset.<name>, where <name> is the name of -the data set. -

-

For example: -

-
-
doc tblish.dataset.cupcake
-
- -

(The command help tblish.dataset.<name> ought to work too, but it -currently doesn’t. This may be due to an issue with Octave’s help -command.) -

- -
- - - - - diff --git a/docs/devel/user-guide/html/Getting-Started.html b/docs/devel/user-guide/html/Getting-Started.html deleted file mode 100644 index 2ea9ea51..00000000 --- a/docs/devel/user-guide/html/Getting-Started.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -Getting Started (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

2 Getting Started

- -

The easiest way to obtain Tablicious is by using Octave’s pkg package manager. -To install the development prerelease of Tablicious, run this in Octave: -

-
-
pkg install https://github.com/apjanke/octave-tablicious/releases/download/v0.4.4-SNAPSHOT/tablicious-0.4.4-SNAPSHOT.tar.gz
-
- -

(Check the releases page at https://github.com/apjanke/octave-tablicious/releases to -find out what the actual latest release number is.) -

-

For development, you can obtain the source code for Tablicious from the project repo on GitHub at -https://github.com/apjanke/octave-tablicious. Make a local clone of the repo. -Then add the inst directory in the repo to your Octave path. -

- - -
- - - - - diff --git a/docs/devel/user-guide/html/Introduction.html b/docs/devel/user-guide/html/Introduction.html deleted file mode 100644 index 9a969ac9..00000000 --- a/docs/devel/user-guide/html/Introduction.html +++ /dev/null @@ -1,90 +0,0 @@ - - - - - - -Introduction (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: Tablicious for GNU Octave   [Contents]

-
-
-

1 Introduction

- -
-

Time is an illusion. Lunchtime doubly so. -

-
-
— Douglas Adams -
- -

This is the manual for the Tablicious package version 0.4.4-SNAPSHOT for GNU Octave. -

-

Tablicious provides somewhat-Matlab-compatible tabular data and date/time support for -GNU Octave. -This includes a table class with support for filtering and join operations; -datetime, duration, and related classes; -Missing Data support; string and categorical data types; -and other miscellaneous things. -

-

This document is a work in progress. You are invited to help improve it and -submit patches. -

-

Tablicious’s classes are designed to be convenient to use while still being efficient. -The data representations used by Tablicious are designed to be efficient and suitable -for working with large-ish data sets. A “large-ish” data set is one that can have -millions of elements or rows, but still fits in main computer memory. Tablicious’s main -relational and arithmetic operations are all implemented using vectorized -operations on primitive Octave data types. -

-

Tablicious was written by Andrew Janke <>. Support can be -found on the Tablicious project -GitHub page. -

- -
- - - - - diff --git a/docs/devel/user-guide/html/Missing-Functionality.html b/docs/devel/user-guide/html/Missing-Functionality.html deleted file mode 100644 index 33063dcd..00000000 --- a/docs/devel/user-guide/html/Missing-Functionality.html +++ /dev/null @@ -1,95 +0,0 @@ - - - - - - -Missing Functionality (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

7 Missing Functionality

- -

Tablicious is based on Matlab’s table and date/time APIs and supports some of -their major functionality. -But not all of it is implemented yet. The missing parts are currently: -

-
    -
  • File I/O like readtable() and writetable() -
  • summary() categorical -
  • Assignment to table variables using .-indexing -
  • timetable -
  • POSIX time zone support for years outside the IANA time zone database coverage -
  • Week-of-year (ISO calendar) calculations -
  • Various 'ConvertFrom' forms for datetime and duration constructors -
  • Support for LDML formatting for datetime -
  • Various functions: -
      -
    • between -
    • caldiff -
    • dateshift -
    • week -
    -
  • isdst, isweekend -
  • calendarDuration.split -
  • duration.Format support -
  • Moving window methods in fillmissing -
  • UTCOffset and DSTOffset fields in the output of timezones() -
  • Plotting support -
- -

It is the author’s hope that many these will be implemented some day. -

-

These areas of missing functionality are tracked on the Tablicious issue -tracker at https://github.com/apjanke/octave-tablicious/issues and -https://github.com/users/apjanke/projects/3. -

- -
- - - - - diff --git a/docs/devel/user-guide/html/NaC.html b/docs/devel/user-guide/html/NaC.html deleted file mode 100644 index d4a1938a..00000000 --- a/docs/devel/user-guide/html/NaC.html +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - -NaC (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.44 NaC

-
-
Function: out = NaC ()
-
Function: out = NaC (sz)
-
-

“Not-a-Categorical". Creates missing-valued categorical arrays. -

-

Returns a new categorical array of all missing values of -the given size. If no input sz is given, the result is a scalar missing -categorical. -

-

NaC is the categorical equivalent of NaN or NaT. It -represents a missing, invalid, or null value. NaC values never compare -equal to any value, including other NaCs. -

-

NaC is a convenience function which is strictly a wrapper around -categorical.undefined and returns the same results, but may be more convenient -to type and/or more readable, especially in array expressions with several values. -

-

See also: categorical.undefined -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/NaS.html b/docs/devel/user-guide/html/NaS.html deleted file mode 100644 index 15532908..00000000 --- a/docs/devel/user-guide/html/NaS.html +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - -NaS (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.45 NaS

-
-
Function: out = NaS ()
-
Function: out = NaS (sz)
-
-

“Not-a-String". Creates missing-valued string arrays. -

-

Returns a new string array of all missing values of -the given size. If no input sz is given, the result is a scalar missing -string. -

-

NaS is the string equivalent of NaN or NaT. It -represents a missing, invalid, or null value. NaS values never compare -equal to any value, including other NaSs. -

-

NaS is a convenience function which is strictly a wrapper around -string.missing and returns the same results, but may be more convenient -to type and/or more readable, especially in array expressions with several values. -

-

See also: string.missing -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/NaT.html b/docs/devel/user-guide/html/NaT.html deleted file mode 100644 index d7de2a3e..00000000 --- a/docs/devel/user-guide/html/NaT.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -NaT (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.46 NaT

-
-
Function: out = NaT ()
-
Function: out = NaT (sz)
-
-

“Not-a-Time”. Creates missing-valued datetime arrays. -

-

Constructs a new datetime array of all NaT values of -the given size. If no input sz is given, the result is a scalar NaT. -

-

NaT is the datetime equivalent of NaN. It represents a missing -or invalid value. NaT values never compare equal to, greater than, or less -than any value, including other NaTs. Doing arithmetic with a NaT and -any other value results in a NaT. -

-

NaT currently cannot create NaT arrays of type localdate. To do that, -use localdate.NaT instead. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/Table-Construction.html b/docs/devel/user-guide/html/Table-Construction.html deleted file mode 100644 index 91af20cb..00000000 --- a/docs/devel/user-guide/html/Table-Construction.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -Table Construction (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: Table Representation   [Contents]

-
-
-

3.1 Table Construction

- -

There are two main ways to construct a table array: build one up by combining -multiple variables together, or convert an existing tabular-organized array into a -table. -

-

To build an array from multiple variables, use the table(…) constructor, passing -in all of your variables as separate inputs. It takes any number of inputs. Each input -becomes a table variable in the new table object. If you pass your constructor -inputs directly from variables, it automatically picks up their names and uses them -as the table variable names. Otherwise, if you’re using more complex expressions, you’ll -need to supply the 'VariableNames' option. -

-

To convert a tabular-organized array of another type into a table, use the -conversion functions like array2table, struct2table and cell2table. -array2table and cell2table take each column of the input array and turn -it into a separate table variable in the resulting table. struct2table takes -the fields of a struct and puts them into table variables. -

-
- - - - - diff --git a/docs/devel/user-guide/html/Table-Representation.html b/docs/devel/user-guide/html/Table-Representation.html deleted file mode 100644 index 6b2137d4..00000000 --- a/docs/devel/user-guide/html/Table-Representation.html +++ /dev/null @@ -1,85 +0,0 @@ - - - - - - -Table Representation (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

3 Table Representation

- -

Tablicious provides the table class for representing tabular data. -

-

A table is an array object that represents a tabular data structure. It holds -multiple named “variables”, each of which is a column vector, or a 2-D matrix whose -rows are read as records. -

-

A table is composed of multiple “variables”, each with a name, which all have -the same number of rows. (A table variable is like a “column” in SQL tables -or in R or Python/pandas dataframes. Whenever you read “variable” here, think -“column”.) Taken together, the i-th element or row of each variable compose -a single record or observation. -

-

Tables are good ways of arranging data if you have data that would otherwise be stored -in a few separate variables which all need to be kept in the same shape and order, -especially if you might want to do element-wise comparisons involving two or more of -those variables. That’s basically all a table is: it holds a collection of -variables, and makes sure they are all kept aligned and ordered in the same way. -

-

Tables are a lot like SQL tables or result sets, and are based on the same relational -algebra theory that SQL is. Many common, even powerful, SQL operations can be done -in Octave using table arrays. It’s like having your own in-memory SQL engine. -

- -
- - - - - diff --git a/docs/devel/user-guide/html/Tables-vs-SQL.html b/docs/devel/user-guide/html/Tables-vs-SQL.html deleted file mode 100644 index a041d4e5..00000000 --- a/docs/devel/user-guide/html/Tables-vs-SQL.html +++ /dev/null @@ -1,92 +0,0 @@ - - - - - - -Tables vs SQL (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Previous: , Up: Table Representation   [Contents]

-
-
-

3.2 Tables vs SQL

- -

Here’s a table (ha!) of what SQL and relational algebar operations correspond to -what Octave table operations. -

-

In this table, t is a variable holding a table array, and ix is -some indexing expression. -

- - - - - - - - - - -
SQLRelationalOctave table
SELECTPROJECTsubsetvars, t(:,ix)
WHERERESTRICTsubsetrows, t(ix,:)
INNER JOINJOINinnerjoin
OUTER JOINOUTER JOINouterjoin
FROM table1, table2, …Cartesian productcartesian
GROUP BYSUMMARIZEgroupby
DISTINCT(automatic)unique(t)
- -

Note that there is one big difference between relational algebra and SQL & Octave -table: Relations in relational algebra are sets, not lists. -There are no duplicate rows in relational algebra, and there is no ordering. -So every operation there does an implicit DISTINCT/unique() on its -results, and there‘s no ORDER BY/sort(). This is not the case in SQL -or Octave table. -

-

Note for users coming from Matlab: Matlab does not provide a general groupby -function. Instead, you have to variously use rowfun, grpstats, -groupsummary, and manual code to accomplish “group by” operations. -

-

Note: I wrote this based on my understanding of relational algebra from reading -C. J. Date books. Other people’s understanding and terminology may differ. - apjanke -

- - -
- - - - - diff --git a/docs/devel/user-guide/html/Time-Zones.html b/docs/devel/user-guide/html/Time-Zones.html deleted file mode 100644 index 6a9b08f5..00000000 --- a/docs/devel/user-guide/html/Time-Zones.html +++ /dev/null @@ -1,128 +0,0 @@ - - - - - - -Time Zones (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: Date and Time Representation   [Contents]

-
-
-

4.2 Time Zones

- -

Tablicious has support for representing dates in time zones and for converting between time zones. -

-

A datetime may be "zoned" or "zoneless". A zoneless datetime does not have a time zone -associated with it. This is represented by an empty TimeZone property on the datetime -object. A zoneless datetime represents the local time in some unknown time zone, and assumes a -continuous time scale (no DST shifts). -

-

A zoned datetime is associated with a time zone. It is represented by having the time zone’s -IANA zone identifier (e.g. 'UTC' or 'America/New_York') in its TimeZone -property. A zoned datetime represents the local time in that time zone. -

-

By default, the datetime constructor creates unzoned datetimes. To -make a zoned datetime, either pass the 'TimeZone' option to the constructor, -or set the TimeZone property after object creation. Setting the TimeZone -property on a zoneless datetime declares that it’s a local time in that time zone. -Setting the TimeZone property on a zoned datetime turns it back into a -zoneless datetime without changing the local time it represents. -

-

You can tell a zoned from a zoneless time zone in the object display because the time zone -is included for zoned datetimes. -

-
-
% Create an unzoned datetime
-d = datetime('2011-03-04 06:00:00')
-    ⇒  04-Mar-2011 06:00:00
-
-% Create a zoned datetime
-d_ny = datetime('2011-03-04 06:00:00', 'TimeZone', 'America/New_York')
-    ⇒  04-Mar-2011 06:00:00 America/New_York
-% This is equivalent
-d_ny = datetime('2011-03-04 06:00:00');
-d_ny.TimeZone = 'America/New_York'
-    ⇒  04-Mar-2011 06:00:00 America/New_York
-
-% Convert it to Chicago time
-d_chi.TimeZone = 'America/Chicago'
-    ⇒  04-Mar-2011 05:00:00 America/Chicago
-
- -

When you combine two zoned datetimes via concatenation, assignment, or -arithmetic, if their time zones differ, they are converted to the time zone of -the left-hand input. -

-
-
d_ny = datetime('2011-03-04 06:00:00', 'TimeZone', 'America/New_York')
-d_la = datetime('2011-03-04 06:00:00', 'TimeZone', 'America/Los_Angeles')
-d_la - d_ny
-    ⇒ 03:00:00
-
- -

You cannot combine a zoned and an unzoned datetime. This results in an error -being raised. -

-
-

Warning: Normalization of "nonexistent" times (like between 02:00 and 03:00 on a "spring forward" -DST change day) is not implemented yet. The results of converting a zoneless local time -into a time zone where that local time did not exist are currently undefined. -

- - - -
-
-
-

-Next: Durations, Previous: datetime Class, Up: Date and Time Representation   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/Validation-Functions.html b/docs/devel/user-guide/html/Validation-Functions.html deleted file mode 100644 index 5b9ab0c6..00000000 --- a/docs/devel/user-guide/html/Validation-Functions.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - -Validation Functions (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: Tablicious for GNU Octave   [Contents]

-
-
-

5 Validation Functions

- -

Tablicious provides several validation functions which can be used to check properties -of function arguments, variables, object properties, and other expressions. These can -be used to express invariants in your program and catch problems due to input errors, -incorrect function usage, or other bugs. -

-

These validation functions are named following the pattern mustBeXxx, where Xxx -is some property of the input it is testing. Validation functions may check the type, -size, or other aspects of their inputs. -

-

The most common place for validation functions to be used will probably be at the -beginning of functions, to check the input arguments and ensure that the contract of -the function is not being violated. If in the future Octave gains the ability to -declaratively express object property constraints, they will also be of use there. -

-

Be careful not to get too aggressive with the use of validation functions: while using -them can make sure invariants are followed and your program is correct, they also reduce -the code’s ability to make use of duck typing, reducing its flexibility. Whether you want -to make this trade-off is a design decision you will have to consider. -

-

When a validation function’s condition is violated, it raises an error that includes a -description of the violation in the error message. This message will include a label for -the input that describes what is being tested. By default, this label is initialized -with inputname(), so when you are calling a validator on a function argument or -variable, you will generally not need to supply a label. But if you’re calling it on -an object property or an expression more complex than a simple variable reference, the -validator cannot automatically detect the input name for use in the label. In this case, -make use of the optional trailing argument(s) to the functions to manually supply a -label for the value being tested. -

-
-
% Validation of a simple variable does not need a label
-mustBeScalar (x);
-% Validation of a field or property reference does need a label
-mustBeScalar (this.foo, 'this.foo');
-
- - -
-
-
-

-Next: Example Data Sets, Previous: Date and Time Representation, Up: Tablicious for GNU Octave   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/array2table.html b/docs/devel/user-guide/html/array2table.html deleted file mode 100644 index b910c564..00000000 --- a/docs/devel/user-guide/html/array2table.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -array2table (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: API Alphabetically   [Contents]

-
-
-

8.2.1 array2table

-
-
Function: out = array2table (c)
-
Function: out = array2table (…, 'VariableNames', VariableNames)
-
Function: out = array2table (…, 'RowNames', RowNames)
-
-

Convert an array to a table. -

-

Converts a 2-D array to a table, with columns in the array becoming variables in -the output table. This is typically used on numeric arrays, but it can -be applied to any type of array. -

-

You may not want to use this on cell arrays, though, because you will -end up with a table that has all its variables of type cell. If you use -cell2table instead, columns of the cell array which can be -condensed into primitive arrays will be. With array2table, they -won’t be. -

-

See also: cell2table, table, struct2table -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration-Class.html b/docs/devel/user-guide/html/calendarDuration-Class.html deleted file mode 100644 index 61a80538..00000000 --- a/docs/devel/user-guide/html/calendarDuration-Class.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -calendarDuration Class (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Previous: , Up: Durations   [Contents]

-
-
-

4.3.2 calendarDuration Class

- -

A calendarDuration represents a period of time in variable-length calendar -components. For example, years and months can have varying numbers of days, and days -in time zones with Daylight Saving Time have varying numbers of hours. A -calendarDuration does arithmetic with "whole" calendar periods. -

-

calendarDurations and durations cannot be directly combined, because -they are not semantically equivalent. (This may be relaxed in the future to allow -durations to be interpreted as numbers of days when combined with -calendarDurations.) -

-
-
d = datetime('2011-03-04 00:00:00')
-    ⇒ 04-Mar-2011
-cdur = calendarDuration(1, 3, 0)
-    ⇒ 1y 3mo
-d2 = d + cdur
-    ⇒ 04-Jun-2012
-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration.html b/docs/devel/user-guide/html/calendarDuration.html deleted file mode 100644 index 4a7deb04..00000000 --- a/docs/devel/user-guide/html/calendarDuration.html +++ /dev/null @@ -1,143 +0,0 @@ - - - - - - -calendarDuration (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.2 calendarDuration

-
-
Class: calendarDuration
-
-

Durations of time using variable-length calendar periods, such as days, -months, and years, which may vary in length over time. (For example, a -calendar month may have 28, 30, or 31 days.) -

-
- -
-
Instance Variable of calendarDuration: char Sign
-
-

The sign (1 or -1) of this duration, which indicates whether it is a -positive or negative span of time. -

-
- -
-
Instance Variable of calendarDuration: char Years
-
-

The number of whole calendar years in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Months
-
-

The number of whole calendar months in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Days
-
-

The number of whole calendar days in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Hours
-
-

The number of whole hours in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Minutes
-
-

The number of whole minutes in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Seconds
-
-

The number of seconds in this duration. May contain fractional values. -

-
- -
-
Instance Variable of calendarDuration: char Format
-
-

The format to display this calendarDuration in. Currently unsupported. -

-

This is a single value that applies to the whole array. -

-
- - - -
-
-
-

-Next: calmonths, Previous: array2table, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002ecalendarDuration.html b/docs/devel/user-guide/html/calendarDuration_002ecalendarDuration.html deleted file mode 100644 index dd33f798..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002ecalendarDuration.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -calendarDuration.calendarDuration (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.1 calendarDuration.calendarDuration

- -
-
Constructor: obj = calendarDuration ()
-
-

Constructs a new scalar calendarDuration of zero elapsed time. -

-
- -
-
Constructor: obj = calendarDuration (Y, M, D)
-
Constructor: obj = calendarDuration (Y, M, D, H, MI, S)
-
-

Constructs new calendarDuration arrays based on input values. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002edispstrs.html b/docs/devel/user-guide/html/calendarDuration_002edispstrs.html deleted file mode 100644 index da82d252..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002edispstrs.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -calendarDuration.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.2 calendarDuration.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002eismissing.html b/docs/devel/user-guide/html/calendarDuration_002eismissing.html deleted file mode 100644 index b8b3df07..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002eismissing.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -calendarDuration.ismissing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.3 calendarDuration.ismissing

- -
-
Method: out = ismissing (obj)
-
-

True if input elements are missing. -

-

This is equivalent to ismissing. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002eisnan.html b/docs/devel/user-guide/html/calendarDuration_002eisnan.html deleted file mode 100644 index a27e082d..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002eisnan.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -calendarDuration.isnan (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.4 calendarDuration.isnan

- -
-
Method: out = isnan (obj)
-
-

True if input elements are NaN. -

-

This is equivalent to ismissing, and is provided for compatibility -and polymorphic programming purposes. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002eminus.html b/docs/devel/user-guide/html/calendarDuration_002eminus.html deleted file mode 100644 index 25d6d322..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002eminus.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -calendarDuration.minus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.5 calendarDuration.minus

- -
-
Method: out = times (A, B)
-
-

Subtraction: Subtracts one calendarDuration from another. -

-

Returns a calendarDuration. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002eplus.html b/docs/devel/user-guide/html/calendarDuration_002eplus.html deleted file mode 100644 index 4edf3047..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002eplus.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -calendarDuration.plus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.6 calendarDuration.plus

- -
-
Method: out = plus (A, B)
-
-

Addition: add two calendarDurations. -

-

All the calendar elements (properties) of the two inputs are added -together. No normalization is done across the elements, aside from -the normalization of NaNs. -

-

If B is numeric, it is converted to a calendarDuration -using calendarDuration.ofDays. -

-

Returns a calendarDuration. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calendarDuration_002euminus.html b/docs/devel/user-guide/html/calendarDuration_002euminus.html deleted file mode 100644 index 41174257..00000000 --- a/docs/devel/user-guide/html/calendarDuration_002euminus.html +++ /dev/null @@ -1,66 +0,0 @@ - - - - - - -calendarDuration.uminus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Previous: , Up: calendarDuration   [Contents]

-
-
-

8.2.2.8 calendarDuration.uminus

- -
-
Method: out = uminus (obj)
-
-

Unary minus. Negates the sign of obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/calyears.html b/docs/devel/user-guide/html/calyears.html deleted file mode 100644 index 3e59a788..00000000 --- a/docs/devel/user-guide/html/calyears.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -calyears (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.4 calyears

-
-
Function: out = calyears (x)
-
-

Construct a calendarDuration a given number of years long. -

-

This is a shorthand for calling calendarDuration(x, 0, 0). -

-

See calendarDuration. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/categorical.html b/docs/devel/user-guide/html/categorical.html deleted file mode 100644 index 1b48eb33..00000000 --- a/docs/devel/user-guide/html/categorical.html +++ /dev/null @@ -1,154 +0,0 @@ - - - - - - -categorical (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.5 categorical

-
-
Class: categorical
-
-

Categorical variable array. -

-

A categorical array represents an array of values of a categorical -variable. Each categorical array stores the element values along -with a list of the categories, and indicators of whether the categories -are ordinal (that is, they have a meaningful mathematical ordering), and -whether the set of categories is protected (preventing new categories -from being added to the array). -

-

In addition to the categories defined in the array, a categorical array -may have elements of "undefined" value. This is not considered a -category; rather, it is the absence of any known value. It is -analagous to a NaN value. -

-

This class is not fully implemented yet. Missing stuff: -

-
    -
  • gt, ge, lt, le -
  • Ordinal support in general -
  • countcats -
  • summary - -
- -
- -
-
Instance Variable of categorical: uint16 code
-
-

The numeric codes of the array element values. These are indexes into the -cats category list. -

-

This is a planar property. -

-
- -
-
Instance Variable of categorical: logical tfMissing
-
-

A logical mask indicating whether each element of the array is missing -(that is, undefined). -

-

This is a planar property. -

-
- -
-
Instance Variable of categorical: cellstr cats
-
-

The names of the categories in this array. This is the list into which -the code values are indexes. -

-
- -
-
Instance Variable of categorical: scalar_logical isOrdinal
-
-

A scalar logical indicating whether the categories in this array have an -ordinal relationship. -

-
- - - -
-
-
-

-Next: cell2table, Previous: calyears, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eaddcats.html b/docs/devel/user-guide/html/categorical_002eaddcats.html deleted file mode 100644 index 7ea2ef3f..00000000 --- a/docs/devel/user-guide/html/categorical_002eaddcats.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -categorical.addcats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: categorical   [Contents]

-
-
-

8.2.5.1 categorical.addcats

- -
-
Method: out = addcats (obj, newcats)
-
-

Add categories to categorical array. -

-

Adds the specified categories to obj, without changing any of -its values. -

-

newcats is a cellstr listing the category names to add to -obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002ecategorical.html b/docs/devel/user-guide/html/categorical_002ecategorical.html deleted file mode 100644 index adecf62d..00000000 --- a/docs/devel/user-guide/html/categorical_002ecategorical.html +++ /dev/null @@ -1,94 +0,0 @@ - - - - - - -categorical.categorical (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: categorical   [Contents]

-
-
-

8.2.5.2 categorical.categorical

- -
-
Constructor: obj = categorical ()
-
-

Constructs a new scalar categorical whose value is undefined. -

-
- -
-
Constructor: obj = categorical (vals)
-
Constructor: obj = categorical (vals, valueset)
-
Constructor: obj = categorical (vals, valueset, category_names)
-
Constructor: obj = categorical (…, 'Ordinal', Ordinal)
-
Constructor: obj = categorical (…, 'Protected', Protected)
-
-

Constructs a new categorical array from the given values. -

-

vals is the array of values to convert to categoricals. -

-

valueset is the set of all values from which vals is drawn. -If omitted, it defaults to the unique values in vals. -

-

category_names is a list of category names corresponding to -valueset. If omitted, it defaults to valueset, converted -to strings. -

-

Ordinal is a logical indicating whether the category values in -obj have a numeric ordering relationship. Defaults to false. -

-

Protected indicates whether obj should be protected, which -prevents the addition of new categories to the array. Defaults to -false. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002ecategories.html b/docs/devel/user-guide/html/categorical_002ecategories.html deleted file mode 100644 index 0abc4bec..00000000 --- a/docs/devel/user-guide/html/categorical_002ecategories.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -categorical.categories (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: categorical   [Contents]

-
-
-

8.2.5.3 categorical.categories

- -
-
Method: out = categories (obj)
-
-

Get a list of the categories in obj. -

-

Gets a list of the categories in obj, identified by their -category names. -

-

Returns a cellstr column vector. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002ecellstr.html b/docs/devel/user-guide/html/categorical_002ecellstr.html deleted file mode 100644 index 777d26fa..00000000 --- a/docs/devel/user-guide/html/categorical_002ecellstr.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -categorical.cellstr (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: categorical   [Contents]

-
-
-

8.2.5.4 categorical.cellstr

- -
-
Method: out = cellstr (obj)
-
-

Convert to cellstr. -

-

Converts obj to a cellstr array. The strings will be the -category names for corresponding values, or '' for undefined -values. -

-

Returns a cellstr array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002edispstrs.html b/docs/devel/user-guide/html/categorical_002edispstrs.html deleted file mode 100644 index cca230de..00000000 --- a/docs/devel/user-guide/html/categorical_002edispstrs.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -categorical.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: categorical   [Contents]

-
-
-

8.2.5.5 categorical.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Display strings. -

-

Gets display strings for each element in obj. The display strings are -either the category string, or '<undefined>' for undefined values. -

-

Returns a cellstr array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002edouble.html b/docs/devel/user-guide/html/categorical_002edouble.html deleted file mode 100644 index 1ab78cb8..00000000 --- a/docs/devel/user-guide/html/categorical_002edouble.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -categorical.double (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: categorical   [Contents]

-
-
-

8.2.5.6 categorical.double

- -
-
Method: out = double (obj)
-
-

Convert to double array, by getting the underlying code values. -

-

Converts obj to a string array. The doubles will be the -underlying numeric code values of obj, or NaN for -undefined values. -

-

The numeric code values of two different categorical arrays do -*not* necessarily correspond to the same string values, and can -*not* be meaningfully compared for equality or ordering. -

-

Returns a double array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eiscategory.html b/docs/devel/user-guide/html/categorical_002eiscategory.html deleted file mode 100644 index 76ea6142..00000000 --- a/docs/devel/user-guide/html/categorical_002eiscategory.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -categorical.iscategory (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.5.7 categorical.iscategory

- -
-
Method: out = iscategory (obj, catnames)
-
-

Test whether input is a category on a categorical array. -

-

catnames is a cellstr listing the category names to check against -obj. -

-

Returns a logical array the same size as catnames. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eismissing.html b/docs/devel/user-guide/html/categorical_002eismissing.html deleted file mode 100644 index 8c42e13f..00000000 --- a/docs/devel/user-guide/html/categorical_002eismissing.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -categorical.ismissing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.8 categorical.ismissing

- -
-
Method: out = ismissing (obj)
-
-

Test whether elements are missing. -

-

For categorical arrays, undefined elements are considered to be -missing. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eisnanny.html b/docs/devel/user-guide/html/categorical_002eisnanny.html deleted file mode 100644 index b03e21a3..00000000 --- a/docs/devel/user-guide/html/categorical_002eisnanny.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -categorical.isnanny (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.9 categorical.isnanny

- -
-
Method: out = isnanny (obj)
-
-

Test whethere elements are NaN-ish. -

-

Checks where each element in obj is NaN-ish. For categorical -arrays, undefined values are considered NaN-ish; any other -value is not. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eisordinal.html b/docs/devel/user-guide/html/categorical_002eisordinal.html deleted file mode 100644 index efbc196e..00000000 --- a/docs/devel/user-guide/html/categorical_002eisordinal.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -categorical.isordinal (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.10 categorical.isordinal

- -
-
Method: out = isordinal (obj)
-
-

Whether obj is ordinal. -

-

Returns true if obj is ordinal (as determined by its -IsOrdinal property), and false otherwise. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eisundefined.html b/docs/devel/user-guide/html/categorical_002eisundefined.html deleted file mode 100644 index 269cf597..00000000 --- a/docs/devel/user-guide/html/categorical_002eisundefined.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -categorical.isundefined (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.11 categorical.isundefined

- -
-
Method: out = isundefined (obj)
-
-

Test whether elements are undefined. -

-

Checks whether each element in obj is undefined. "Undefined" is -a special value defined by categorical. It is equivalent to -a NaN or a missing value. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002emergecats.html b/docs/devel/user-guide/html/categorical_002emergecats.html deleted file mode 100644 index 2cdb90b7..00000000 --- a/docs/devel/user-guide/html/categorical_002emergecats.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -categorical.mergecats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.5.12 categorical.mergecats

- -
-
Method: out = mergecats (obj, oldcats)
-
Method: out = mergecats (obj, oldcats, newcat)
-
-

Merge multiple categories. -

-

Merges the categories oldcats into a single category. If newcat -is specified, that new category is added if necessary, and all of oldcats -are merged into it. newcat must be an existing category in obj if -obj is ordinal. -

-

If newcat is not provided, all of odcats are merged into -oldcats{1}. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002emissing.html b/docs/devel/user-guide/html/categorical_002emissing.html deleted file mode 100644 index 4d10c75f..00000000 --- a/docs/devel/user-guide/html/categorical_002emissing.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -categorical.missing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.13 categorical.missing

- -
-
Static Method: out = categorical.missing ()
-
Static Method: out = categorical.missing (sz)
-
-

Create an array of missing (undefined) categoricals. -

-

Creates a categorical array whose elements are all missing (<undefined>). -

-

This is a convenience alias for categorical.undefined, so you can call -it generically. It returns strictly the same results as calling -categorical.undefined with the same arguments. -

-

Returns a categorical array. -

-

See also: categorical.undefined -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eremovecats.html b/docs/devel/user-guide/html/categorical_002eremovecats.html deleted file mode 100644 index e38e2214..00000000 --- a/docs/devel/user-guide/html/categorical_002eremovecats.html +++ /dev/null @@ -1,81 +0,0 @@ - - - - - - -categorical.removecats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.14 categorical.removecats

- -
-
Method: out = removecats (obj)
-
-

Removes all unused categories from obj. This is equivalent to -out = squeezecats (obj). -

-
- -
-
Method: out = removecats (obj, oldcats)
-
-

Remove categories from categorical array. -

-

Removes the specified categories from obj. Elements of obj -whose values belonged to those categories are replaced with undefined. -

-

newcats is a cellstr listing the category names to add to -obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002erenamecats.html b/docs/devel/user-guide/html/categorical_002erenamecats.html deleted file mode 100644 index 93095fca..00000000 --- a/docs/devel/user-guide/html/categorical_002erenamecats.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -categorical.renamecats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.15 categorical.renamecats

- -
-
Method: out = renamecats (obj, newcats)
-
Method: out = renamecats (obj, oldcats, newcats)
-
-

Rename categories. -

-

Renames some or all of the categories in obj, without changing -any of its values. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002ereordercats.html b/docs/devel/user-guide/html/categorical_002ereordercats.html deleted file mode 100644 index 5c7e0e15..00000000 --- a/docs/devel/user-guide/html/categorical_002ereordercats.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -categorical.reordercats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.16 categorical.reordercats

- -
-
Method: out = reordercats (obj)
-
Method: out = reordercats (obj, newcats)
-
-

Reorder categories. -

-

Reorders the categories in obj to match newcats. -

-

newcats is a cellstr that must be a reordering of obj’s existing -category list. If newcats is not supplied, sorts the categories -in alphabetical order. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002esetcats.html b/docs/devel/user-guide/html/categorical_002esetcats.html deleted file mode 100644 index 9d2631e3..00000000 --- a/docs/devel/user-guide/html/categorical_002esetcats.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -categorical.setcats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.17 categorical.setcats

- -
-
Method: out = setcats (obj, newcats)
-
-

Set categories for categorical array. -

-

Sets the categories to use for obj. If any current categories -are absent from the newcats list, current values of those -categories become undefined. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002esqueezecats.html b/docs/devel/user-guide/html/categorical_002esqueezecats.html deleted file mode 100644 index cb8ec9d9..00000000 --- a/docs/devel/user-guide/html/categorical_002esqueezecats.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -categorical.squeezecats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.18 categorical.squeezecats

- -
-
Method: out = squeezecats (obj)
-
-

Remove unused categories. -

-

Removes all categories which have no corresponding values in obj’s -elements. -

-

This is currently unimplemented. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002estring.html b/docs/devel/user-guide/html/categorical_002estring.html deleted file mode 100644 index a30809be..00000000 --- a/docs/devel/user-guide/html/categorical_002estring.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -categorical.string (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.19 categorical.string

- -
-
Method: out = string (obj)
-
-

Convert to string array. -

-

Converts obj to a string array. The strings will be the -category names for corresponding values, or <missing> for undefined -values. -

-

Returns a string array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002esummary.html b/docs/devel/user-guide/html/categorical_002esummary.html deleted file mode 100644 index f9ffe465..00000000 --- a/docs/devel/user-guide/html/categorical_002esummary.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -categorical.summary (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.20 categorical.summary

- -
-
Method: summary (obj)
-
-

Display summary of array’s values. -

-

Displays a summary of the values in this categorical array. The output -may contain info like the number of categories, number of undefined values, -and frequency of each category. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/categorical_002eundefined.html b/docs/devel/user-guide/html/categorical_002eundefined.html deleted file mode 100644 index 2e95258d..00000000 --- a/docs/devel/user-guide/html/categorical_002eundefined.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -categorical.undefined (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.5.21 categorical.undefined

- -
-
Static Method: out = categorical.undefined ()
-
Static Method: out = categorical.undefined (sz)
-
-

Create an array of undefined categoricals. -

-

Creates a categorical array whose elements are all <undefined>. -

-

sz is the size of the array to create. If omitted or empty, creates -a scalar. -

-

Returns a categorical array. -

-

See also: categorical.missing -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/cell2table.html b/docs/devel/user-guide/html/cell2table.html deleted file mode 100644 index 9d6a2e7e..00000000 --- a/docs/devel/user-guide/html/cell2table.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -cell2table (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.6 cell2table

-
-
Function: out = cell2table (c)
-
Function: out = cell2table (…, 'VariableNames', VariableNames)
-
Function: out = cell2table (…, 'RowNames', RowNames)
-
-

Convert a cell array to a table. -

-

Converts a 2-dimensional cell matrix into a table. Each column in the -input c becomes a variable in out. For columns that contain -all scalar values of cat-compatible types, they are “popped out” -of their cells and condensed into a homogeneous array of the contained -type. -

-

See also: array2table, table, struct2table -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/colvecfun.html b/docs/devel/user-guide/html/colvecfun.html deleted file mode 100644 index 0848eb35..00000000 --- a/docs/devel/user-guide/html/colvecfun.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -colvecfun (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

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-
-
-

8.2.7 colvecfun

-
-
Function: out = colvecfun (fcn, x)
-
-

Apply a function to column vectors in array. -

-

Applies the given function fcn to each column vector in the -array x, by iterating over the indexes along all dimensions except -dimension 1. Collects the function return values in an output array. -

-

fcn must be a function which takes a column vector and returns a column -vector of the same size. It does not have to return the same type as -x. -

-

Returns the result of applying fcn to each column in x, all concatenated -together in the same shape as x. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/contains.html b/docs/devel/user-guide/html/contains.html deleted file mode 100644 index 2c4ade36..00000000 --- a/docs/devel/user-guide/html/contains.html +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - -contains (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.8 contains

-
-
Function: out = colvecfun (str, pattern)
-
Function: out = colvecfun (…, 'IgnoreCase', IgnoreCase)
-
-

Test if strings contain a pattern. -

-

Tests whether the given strings contain the given pattern(s). -

-

str (char, cellstr, or string) is a list of strings to compare against -pattern. -

-

pattern (char, cellstr, or string) is a list of patterns to match. These are -literal plain string patterns, not regex patterns. If more than one pattern -is supplied, the return value is true if the string matched any of them. -

-

Returns a logical array of the same size as the string array represented by -str. -

-

See also: startsWith, endsWith -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/datasets_002edescription.html b/docs/devel/user-guide/html/datasets_002edescription.html deleted file mode 100644 index ed50957f..00000000 --- a/docs/devel/user-guide/html/datasets_002edescription.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datasets.description (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.58.1 datasets.description

- -
-
Static Method: description (datasetName)
-
Static Method: out = description (datasetName)
-
-

Get or display the description for a dataset. -

-

Gets the description for the named dataset. If the output is captured, -it is returned as a charvec containing plain text suitable for human display. -If the output is not captured, displays the description to the console. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datasets_002elist.html b/docs/devel/user-guide/html/datasets_002elist.html deleted file mode 100644 index 21496e3d..00000000 --- a/docs/devel/user-guide/html/datasets_002elist.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -datasets.list (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.58.2 datasets.list

- -
-
Static Method: list ()
-
Static Method: out = list ()
-
-

List all datasets. -

-

Lists all the example datasets known to this class. If the output is -captured, returns the list as a table. If the output is not captured, -displays the list. -

-

Returns a table with variables Name, Description, and possibly more. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datasets_002eload.html b/docs/devel/user-guide/html/datasets_002eload.html deleted file mode 100644 index 8677fed9..00000000 --- a/docs/devel/user-guide/html/datasets_002eload.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -datasets.load (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.58.3 datasets.load

- -
-
Static Method: load (datasetName)
-
Static Method: out = load (datasetName)
-
-

Load a specified dataset. -

-

datasetName is the name of the dataset to load, as found in the -Name column of the dataset list. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime-Class.html b/docs/devel/user-guide/html/datetime-Class.html deleted file mode 100644 index 23028d76..00000000 --- a/docs/devel/user-guide/html/datetime-Class.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -datetime Class (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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-

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-
-
-

4.1 datetime Class

- -

A datetime is an array object that represents points in time in the familiar -Gregorian calendar. -

-

This is an attempt to reproduce the functionality of Matlab’s datetime. It -also contains some Octave-specific extensions. -

-

The underlying representation is that of a datenum (a double -containing the number of days since the Matlab epoch), but encapsulating it in an -object provides several benefits: friendly human-readable display, type safety, -automatic type conversion, and time zone support. In addition to the underlying -datenum array, a datetime inclues an optional TimeZone property -indicating what time zone the datetimes are in. -

-

So, basically, a datetime is an object wrapper around a datenum array, -plus time zone support. -

- - -
- - - - - diff --git a/docs/devel/user-guide/html/datetime.html b/docs/devel/user-guide/html/datetime.html deleted file mode 100644 index bf44f73f..00000000 --- a/docs/devel/user-guide/html/datetime.html +++ /dev/null @@ -1,150 +0,0 @@ - - - - - - -datetime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.9 datetime

-
-
Class: datetime
-
-

Represents points in time using the Gregorian calendar. -

-

The underlying values are doubles representing the number of days since the -Matlab epoch of "January 0, year 0". This has a precision of around nanoseconds -for typical times. -

-

A datetime array is an array of date/time values, with each element -holding a complete date/time. The overall array may also have a TimeZone and a -Format associated with it, which apply to all elements in the array. -

- -

This is an attempt to reproduce the functionality of Matlab’s datetime. It -also contains some Octave-specific extensions. -

-
- -
-
Instance Variable of datetime: double dnums
-
-

The underlying datenums that represent the points in time. These are always in UTC. -

-

This is a planar property: the size of dnums is the same size as the -containing datetime array object. -

-
- -
-
Instance Variable of datetime: char TimeZone
-
-

The time zone this datetime array is in. Empty if this does not have a -time zone associated with it (“unzoned”). The name of an IANA time zone if -this does. -

-

Setting the TimeZone of a datetime array changes the time zone it -is presented in for strings and broken-down times, but does not change the -underlying UTC times that its elements represent. -

-
- -
-
Instance Variable of datetime: char Format
-
-

The format to display this datetime in. Currently unsupported. -

-
- - - -
-
-
-

-Next: days, Previous: contains, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eNaT.html b/docs/devel/user-guide/html/datetime_002eNaT.html deleted file mode 100644 index 1539e1e6..00000000 --- a/docs/devel/user-guide/html/datetime_002eNaT.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -datetime.NaT (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.9.23 datetime.NaT

- -
-
Static Method: out = datetime.NaT ()
-
Static Method: out = datetime.NaT (sz)
-
-

“Not-a-Time”: Creates NaT-valued arrays. -

-

Constructs a new datetime array of all NaT values of -the given size. If no input sz is given, the result is a scalar NaT. -

-

NaT is the datetime equivalent of NaN. It represents a missing -or invalid value. NaT values never compare equal to, greater than, or less -than any value, including other NaTs. Doing arithmetic with a NaT and -any other value results in a NaT. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002econvertDatenumTimeZone.html b/docs/devel/user-guide/html/datetime_002econvertDatenumTimeZone.html deleted file mode 100644 index b6c49d6b..00000000 --- a/docs/devel/user-guide/html/datetime_002econvertDatenumTimeZone.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -datetime.convertDatenumTimeZone (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: datetime   [Contents]

-
-
-

8.2.9.1 datetime.convertDatenumTimeZone

- -
-
Static Method: out = datetime.convertDatenumTimeZone (dnum, fromZoneId, toZoneId)
-
-

Convert a datenum from one time zone to another. -

-

dnum is a datenum array to convert. -

-

fromZoneId is a charvec containing the IANA Time Zone identifier for -the time zone to convert from. -

-

toZoneId is a charvec containing the IANA Time Zone identifier for -the time zone to convert to. -

-

Returns a datenum array the same size as dnum. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002edatenum2posix.html b/docs/devel/user-guide/html/datetime_002edatenum2posix.html deleted file mode 100644 index 78671a8b..00000000 --- a/docs/devel/user-guide/html/datetime_002edatenum2posix.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.datenum2posix (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.3 datetime.datenum2posix

- -
-
Static Method: out = datetime.datenum2posix (dnums)
-
-

Converts Octave datenums to Unix dates. -

-

The input datenums are assumed to be in UTC. -

-

Returns a double, which may have fractional seconds. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002edatestr.html b/docs/devel/user-guide/html/datetime_002edatestr.html deleted file mode 100644 index c2270128..00000000 --- a/docs/devel/user-guide/html/datetime_002edatestr.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.datestr (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.4 datetime.datestr

- -
-
Method: out = datestr (obj)
-
Method: out = datestr (obj, …)
-
-

Format obj as date strings. Supports all arguments that core Octave’s -datestr does. -

-

Returns date strings as a 2-D char array. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002edatestrs.html b/docs/devel/user-guide/html/datetime_002edatestrs.html deleted file mode 100644 index 93722f2c..00000000 --- a/docs/devel/user-guide/html/datetime_002edatestrs.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.datestrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.5 datetime.datestrs

- -
-
Method: out = datestrs (obj)
-
Method: out = datestrs (obj, …)
-
-

Format obj as date strings, returning cellstr. -Supports all arguments that core Octave’s datestr does. -

-

Returns a cellstr array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002edatestruct.html b/docs/devel/user-guide/html/datetime_002edatestruct.html deleted file mode 100644 index 491ad966..00000000 --- a/docs/devel/user-guide/html/datetime_002edatestruct.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -datetime.datestruct (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.6 datetime.datestruct

- -
-
Method: out = datestruct (obj)
-
-

Converts this to a "datestruct" broken-down time structure. -

-

A "datestruct" is a format of struct that Tablicious came up with. It is a scalar -struct with fields Year, Month, Day, Hour, Minute, and Second, each containing -a double array the same size as the date array it represents. -

-

The values in the returned broken-down time are those of the local time -in this’ defined time zone, if it has one. -

-

Returns a struct with fields Year, Month, Day, Hour, Minute, and Second. -Each field contains a double array of the same size as this. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002edatetime.html b/docs/devel/user-guide/html/datetime_002edatetime.html deleted file mode 100644 index f67e6bbc..00000000 --- a/docs/devel/user-guide/html/datetime_002edatetime.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -datetime.datetime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.7 datetime.datetime

- -
-
Constructor: obj = datetime ()
-
-

Constructs a new scalar datetime containing the current local time, with -no time zone attached. -

-
- -
-
Constructor: obj = datetime (datevec)
-
Constructor: obj = datetime (datestrs)
-
Constructor: obj = datetime (in, 'ConvertFrom', inType)
-
Constructor: obj = datetime (Y, M, D, H, MI, S)
-
Constructor: obj = datetime (Y, M, D, H, MI, MS)
-
Constructor: obj = datetime (…, 'Format', Format, 'InputFormat', InputFormat, 'Locale', InputLocale, 'PivotYear', PivotYear, 'TimeZone', TimeZone)
-
-

Constructs a new datetime array based on input values. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002ediff.html b/docs/devel/user-guide/html/datetime_002ediff.html deleted file mode 100644 index 1627ce98..00000000 --- a/docs/devel/user-guide/html/datetime_002ediff.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -datetime.diff (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.8 datetime.diff

- -
-
Method: out = diff (obj)
-
-

Differences between elements. -

-

Computes the difference between each successive element in obj, as a -duration. -

-

Returns a duration array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002edispstrs.html b/docs/devel/user-guide/html/datetime_002edispstrs.html deleted file mode 100644 index 0e2cbfe0..00000000 --- a/docs/devel/user-guide/html/datetime_002edispstrs.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -datetime.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.9 datetime.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eeq.html b/docs/devel/user-guide/html/datetime_002eeq.html deleted file mode 100644 index 416143f5..00000000 --- a/docs/devel/user-guide/html/datetime_002eeq.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.eq (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-

8.2.9.10 datetime.eq

- -
-
Method: out = eq (A, B)
-
-

True if A is equal to B. This defines the == operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002ege.html b/docs/devel/user-guide/html/datetime_002ege.html deleted file mode 100644 index 5adcc351..00000000 --- a/docs/devel/user-guide/html/datetime_002ege.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.ge (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.11 datetime.ge

- -
-
Method: out = ge (A, B)
-
-

True if A is greater than or equal to B. This defines the >= operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002egmtime.html b/docs/devel/user-guide/html/datetime_002egmtime.html deleted file mode 100644 index 69c51547..00000000 --- a/docs/devel/user-guide/html/datetime_002egmtime.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -datetime.gmtime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.12 datetime.gmtime

- -
-
Method: out = gmtime (obj)
-
-

Convert to TM_STRUCT structure in UTC time. -

-

Converts obj to a TM_STRUCT style structure array. The result is in -UTC time. If obj is unzoned, it is assumed to be in UTC time. -

-

Returns a struct array in TM_STRUCT style. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002egt.html b/docs/devel/user-guide/html/datetime_002egt.html deleted file mode 100644 index ff1170fb..00000000 --- a/docs/devel/user-guide/html/datetime_002egt.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.gt (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.13 datetime.gt

- -
-
Method: out = gt (A, B)
-
-

True if A is greater than B. This defines the > operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002ehms.html b/docs/devel/user-guide/html/datetime_002ehms.html deleted file mode 100644 index 431dbe05..00000000 --- a/docs/devel/user-guide/html/datetime_002ehms.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.hms (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.14 datetime.hms

- -
-
Method: [h, m, s] = hms (obj)
-
-

Get the Hour, Minute, and Second components of a obj. -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns double arrays the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eisbetween.html b/docs/devel/user-guide/html/datetime_002eisbetween.html deleted file mode 100644 index fc58fad3..00000000 --- a/docs/devel/user-guide/html/datetime_002eisbetween.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.isbetween (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.15 datetime.isbetween

- -
-
Method: out = isbetween (obj, lower, upper)
-
-

Tests whether the elements of obj are between lower and -upper. -

-

All inputs are implicitly converted to datetime arrays, and are subject -to scalar expansion. -

-

Returns a logical array the same size as the scalar expansion of the inputs. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eisnan.html b/docs/devel/user-guide/html/datetime_002eisnan.html deleted file mode 100644 index 96dc81b5..00000000 --- a/docs/devel/user-guide/html/datetime_002eisnan.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -datetime.isnan (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.16 datetime.isnan

- -
-
Method: out = isnan (obj)
-
-

True if input elements are NaT. This is an alias for isnat -to support type compatibility and polymorphic programming. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eisnat.html b/docs/devel/user-guide/html/datetime_002eisnat.html deleted file mode 100644 index e3a68e2f..00000000 --- a/docs/devel/user-guide/html/datetime_002eisnat.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -datetime.isnat (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.17 datetime.isnat

- -
-
Method: out = isnat (obj)
-
-

True if input elements are NaT. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002ele.html b/docs/devel/user-guide/html/datetime_002ele.html deleted file mode 100644 index 7051a71e..00000000 --- a/docs/devel/user-guide/html/datetime_002ele.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.le (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.18 datetime.le

- -
-
Method: out = le (A, B)
-
-

True if A is less than or equal toB. This defines the <= operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002elinspace.html b/docs/devel/user-guide/html/datetime_002elinspace.html deleted file mode 100644 index 05e633ee..00000000 --- a/docs/devel/user-guide/html/datetime_002elinspace.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -datetime.linspace (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.19 datetime.linspace

- -
-
Method: out = linspace (from, to, n)
-
-

Linearly-spaced values in date/time space. -

-

Constructs a vector of datetimes that represent linearly spaced points -starting at from and going up to to, with n points in the -vector. -

-

from and to are implicitly converted to datetimes. -

-

n is how many points to use. If omitted, defaults to 100. -

-

Returns an n-long datetime vector. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002elocaltime.html b/docs/devel/user-guide/html/datetime_002elocaltime.html deleted file mode 100644 index 2ee9d913..00000000 --- a/docs/devel/user-guide/html/datetime_002elocaltime.html +++ /dev/null @@ -1,83 +0,0 @@ - - - - - - -datetime.localtime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.20 datetime.localtime

- -
-
Method: out = localtime (obj)
-
-

Convert to TM_STRUCT structure in UTC time. -

-

Converts obj to a TM_STRUCT style structure array. The result is a -local time in the system default time zone. Note that the system default -time zone is always used, regardless of what TimeZone is set on obj. -

-

If obj is unzoned, it is assumed to be in UTC time. -

-

Returns a struct array in TM_STRUCT style. -

-

Example: -

-
dt = datetime;
-dt.TimeZone = datetime.SystemTimeZone;
-tm_struct = localtime (dt);
-
- -
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002elt.html b/docs/devel/user-guide/html/datetime_002elt.html deleted file mode 100644 index b08a774d..00000000 --- a/docs/devel/user-guide/html/datetime_002elt.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.lt (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.21 datetime.lt

- -
-
Method: out = lt (A, B)
-
-

True if A is less than B. This defines the < operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eminus.html b/docs/devel/user-guide/html/datetime_002eminus.html deleted file mode 100644 index cc868b76..00000000 --- a/docs/devel/user-guide/html/datetime_002eminus.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -datetime.minus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.9.22 datetime.minus

- -
-
Method: out = minus (A, B)
-
-

Subtraction (- operator). Subtracts a duration, -calendarDuration or numeric B from a datetime A, -or subtracts two datetimes from each other. -

-

If both inputs are datetime, then the output is a duration. -Otherwise, the output is a datetime. -

-

Numeric B inputs are implicitly converted to duration using -duration.ofDays. -

-

Returns an array the same size as A. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002ene.html b/docs/devel/user-guide/html/datetime_002ene.html deleted file mode 100644 index eb788c08..00000000 --- a/docs/devel/user-guide/html/datetime_002ene.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.ne (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.24 datetime.ne

- -
-
Method: out = ne (A, B)
-
-

True if A is not equal to B. This defines the != operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eofDatenum.html b/docs/devel/user-guide/html/datetime_002eofDatenum.html deleted file mode 100644 index 4f91b918..00000000 --- a/docs/devel/user-guide/html/datetime_002eofDatenum.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -datetime.ofDatenum (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.25 datetime.ofDatenum

- -
-
Static Method: obj = datetime.ofDatenum (dnums)
-
-

Converts a datenum array to a datetime array. -

-

Returns an unzoned datetime array of the same size as the input. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eofDatestruct.html b/docs/devel/user-guide/html/datetime_002eofDatestruct.html deleted file mode 100644 index 1c3a3063..00000000 --- a/docs/devel/user-guide/html/datetime_002eofDatestruct.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -datetime.ofDatestruct (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.26 datetime.ofDatestruct

- -
-
Static Method: obj = datetime.ofDatestruct (dstruct)
-
-

Converts a datestruct to a datetime array. -

-

A datestruct is a special struct format used by Tablicious that has fields -Year, Month, Day, Hour, Minute, and Second. It is not a standard Octave datatype. -

-

Returns an unzoned datetime array. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eplus.html b/docs/devel/user-guide/html/datetime_002eplus.html deleted file mode 100644 index f6a811bf..00000000 --- a/docs/devel/user-guide/html/datetime_002eplus.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -datetime.plus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.27 datetime.plus

- -
-
Method: out = plus (A, B)
-
-

Addition (+ operator). Adds a duration, calendarDuration, -or numeric B to a datetime A. -

-

A must be a datetime. -

-

Numeric B inputs are implicitly converted to duration using -duration.ofDays. -

-

Returns datetime array the same size as A. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eposix2datenum.html b/docs/devel/user-guide/html/datetime_002eposix2datenum.html deleted file mode 100644 index fdf59657..00000000 --- a/docs/devel/user-guide/html/datetime_002eposix2datenum.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.posix2datenum (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.28 datetime.posix2datenum

- -
-
Static Method: dnums = datetime.posix2datenum (pdates)
-
-

Converts POSIX (Unix) times to datenums -

-

Pdates (numeric) is an array of POSIX dates. A POSIX date is the number -of seconds since January 1, 1970 UTC, excluding leap seconds. The output -is implicitly in UTC. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eposixtime.html b/docs/devel/user-guide/html/datetime_002eposixtime.html deleted file mode 100644 index cec0bf01..00000000 --- a/docs/devel/user-guide/html/datetime_002eposixtime.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -datetime.posixtime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.9.29 datetime.posixtime

- -
-
Method: out = posixtime (obj)
-
-

Converts this to POSIX time values (seconds since the Unix epoch) -

-

Converts this to POSIX time values that represent the same time. The -returned values will be doubles that may include fractional second values. -POSIX times are, by definition, in UTC. -

-

Returns double array of same size as this. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eproxyKeys.html b/docs/devel/user-guide/html/datetime_002eproxyKeys.html deleted file mode 100644 index 525e068b..00000000 --- a/docs/devel/user-guide/html/datetime_002eproxyKeys.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -datetime.proxyKeys (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.9.30 datetime.proxyKeys

- -
-
Method: [keysA, keysB] = proxyKeys (a, b)
-
-

Computes proxy key values for two datetime arrays. Proxy keys are numeric -values whose rows have the same equivalence relationships as the elements of -the inputs. -

-

This is primarily for Tablicious’s internal use; users will typically not need to call -it or know how it works. -

-

Returns two 2-D numeric matrices of size n-by-k, where n is the number of elements -in the corresponding input. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002etimeofday.html b/docs/devel/user-guide/html/datetime_002etimeofday.html deleted file mode 100644 index 2d7b1c2d..00000000 --- a/docs/devel/user-guide/html/datetime_002etimeofday.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.timeofday (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.31 datetime.timeofday

- -
-
Method: out = timeofday (obj)
-
-

Get the time of day (elapsed time since midnight). -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns a duration array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eweek.html b/docs/devel/user-guide/html/datetime_002eweek.html deleted file mode 100644 index 11baba5f..00000000 --- a/docs/devel/user-guide/html/datetime_002eweek.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -datetime.week (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.32 datetime.week

- -
-
Method: out = week (obj)
-
-

Get the week of the year. -

-

This method is unimplemented. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eymd.html b/docs/devel/user-guide/html/datetime_002eymd.html deleted file mode 100644 index 8ae4a6b5..00000000 --- a/docs/devel/user-guide/html/datetime_002eymd.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -datetime.ymd (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.9.33 datetime.ymd

- -
-
Method: [y, m, d] = ymd (obj)
-
-

Get the Year, Month, and Day components of obj. -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns double arrays the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/datetime_002eymdhms.html b/docs/devel/user-guide/html/datetime_002eymdhms.html deleted file mode 100644 index 045e2694..00000000 --- a/docs/devel/user-guide/html/datetime_002eymdhms.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -datetime.ymdhms (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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8.2.9.34 datetime.ymdhms

- -
-
Method: [y, m, d, h, mi, s] = ymdhms (obj)
-
-

Get the Year, Month, Day, Hour, Minute, and Second components of a obj. -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns double arrays the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/days.html b/docs/devel/user-guide/html/days.html deleted file mode 100644 index c52a16e4..00000000 --- a/docs/devel/user-guide/html/days.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -days (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.10 days

-
-
Function: out = days (x)
-
-

Duration in days. -

-

If x is numeric, then out is a duration array in units -of fixed-length 24-hour days, with the same size as x. -

-

If x is a duration, then returns a double array the same -size as x indicating the number of fixed-length days that each duration -is. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/discretize.html b/docs/devel/user-guide/html/discretize.html deleted file mode 100644 index df5e888a..00000000 --- a/docs/devel/user-guide/html/discretize.html +++ /dev/null @@ -1,85 +0,0 @@ - - - - - - -discretize (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.11 discretize

-
-
Function: [Y, E] = discretize (X, n)
-
Function: [Y, E] = discretize (X, edges)
-
Function: [Y, E] = discretize (X, dur)
-
Function: [Y, E] = discretize (…, 'categorical')
-
Function: [Y, E] = discretize (…, 'IncludedEdge', IncludedEdge)
-
-

Group data into discrete bins or categories. -

-

n is the number of bins to group the values into. -

-

edges is an array of edge values defining the bins. -

-

dur is a duration value indicating the length of time of each -bin. -

-

If 'categorical' is specified, the resulting values are a categorical -array instead of a numeric array of bin indexes. -

-

Returns: - Y - the bin index or category of each value from X - E - the list of bin edge values -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/dispstrs.html b/docs/devel/user-guide/html/dispstrs.html deleted file mode 100644 index b632557d..00000000 --- a/docs/devel/user-guide/html/dispstrs.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.12 dispstrs

-
-
Function: out = dispstrs (x)
-
-

Display strings for array. -

-

Gets the display strings for each element of x. The display strings -should be short, one-line, human-presentable strings describing the -value of that element. -

-

The default implementation of dispstrs can accept input of any -type, and has decent implementations for Octave’s standard built-in types, -but will have opaque displays for most user-defined objects. -

-

This is a polymorphic method that user-defined classes may override -with their own custom display that is more informative. -

-

Returns a cell array the same size as x. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/duration-Class.html b/docs/devel/user-guide/html/duration-Class.html deleted file mode 100644 index a1e0f27a..00000000 --- a/docs/devel/user-guide/html/duration-Class.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -duration Class (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
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-
-

4.3.1 duration Class

- -

A duration represents a period of time in fixed-length seconds (or minutes, hours, -or whatever you want to measure it in.) -

-

A duration has a resolution of about a nanosecond for typical dates. The underlying -representation is a double representing the number of days elapsed, similar to a -datenum, except it’s interpreted as relative to some other reference point you provide, -instead of being relative to the Matlab/Octave epoch. -

-

You can add or subtract a duration to a datetime to get another datetime. -You can also add or subtract durations to each other. -

-
- - - - - diff --git a/docs/devel/user-guide/html/duration.html b/docs/devel/user-guide/html/duration.html deleted file mode 100644 index e2f150be..00000000 --- a/docs/devel/user-guide/html/duration.html +++ /dev/null @@ -1,106 +0,0 @@ - - - - - - -duration (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13 duration

-
-
Class: duration
-
-

Represents durations or periods of time as an amount of fixed-length -time (i.e. fixed-length seconds). It does not care about calendar things -like months and days that vary in length over time. -

-

This is an attempt to reproduce the functionality of Matlab’s duration. It -also contains some Octave-specific extensions. -

-

Duration values are stored as double numbers of days, so they are an -approximate type. In display functions, by default, they are displayed with -millisecond precision, but their actual precision is closer to nanoseconds -for typical times. -

-
- -
-
Instance Variable of duration: double days
-
-

The underlying datenums that represent the durations, as number of (whole and -fractional) days. These are uniform 24-hour days, not calendar days. -

-

This is a planar property: the size of days is the same size as the -containing duration array object. -

-
- -
-
Instance Variable of duration: char Format
-
-

The format to display this duration in. Currently unsupported. -

-
- - - -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002echar.html b/docs/devel/user-guide/html/duration_002echar.html deleted file mode 100644 index 6661ae79..00000000 --- a/docs/devel/user-guide/html/duration_002echar.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -duration.char (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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8.2.13.1 duration.char

- -
-
Method: out = char (obj)
-
-

Convert to char. The contents of the strings will be the same as -returned by dispstrs. -

-

This is primarily a convenience method for use on scalar objs. -

-

Returns a 2-D char array with one row per element in obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002edispstrs.html b/docs/devel/user-guide/html/duration_002edispstrs.html deleted file mode 100644 index 7e29cd05..00000000 --- a/docs/devel/user-guide/html/duration_002edispstrs.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -duration.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.13.2 duration.dispstrs

- -
-
Method: out = duration (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002ehours.html b/docs/devel/user-guide/html/duration_002ehours.html deleted file mode 100644 index a00d7921..00000000 --- a/docs/devel/user-guide/html/duration_002ehours.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -duration.hours (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13.3 duration.hours

- -
-
Method: out = hours (obj)
-
-

Equivalent number of hours. -

-

Gets the number of fixed-length 60-minute hours that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002elinspace.html b/docs/devel/user-guide/html/duration_002elinspace.html deleted file mode 100644 index b7a170c2..00000000 --- a/docs/devel/user-guide/html/duration_002elinspace.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -duration.linspace (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13.4 duration.linspace

- -
-
Method: out = linspace (from, to, n)
-
-

Linearly-spaced values in time duration space. -

-

Constructs a vector of durations that represent linearly spaced points -starting at from and going up to to, with n points in the -vector. -

-

from and to are implicitly converted to durations. -

-

n is how many points to use. If omitted, defaults to 100. -

-

Returns an n-long datetime vector. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002emilliseconds.html b/docs/devel/user-guide/html/duration_002emilliseconds.html deleted file mode 100644 index c29ed08e..00000000 --- a/docs/devel/user-guide/html/duration_002emilliseconds.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -duration.milliseconds (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13.5 duration.milliseconds

- -
-
Method: out = milliseconds (obj)
-
-

Equivalent number of milliseconds. -

-

Gets the number of milliseconds that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002eminutes.html b/docs/devel/user-guide/html/duration_002eminutes.html deleted file mode 100644 index 485af419..00000000 --- a/docs/devel/user-guide/html/duration_002eminutes.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -duration.minutes (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13.6 duration.minutes

- -
-
Method: out = minutes (obj)
-
-

Equivalent number of minutes. -

-

Gets the number of fixed-length 60-second minutes that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002eofDays.html b/docs/devel/user-guide/html/duration_002eofDays.html deleted file mode 100644 index e83d701f..00000000 --- a/docs/devel/user-guide/html/duration_002eofDays.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -duration.ofDays (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13.7 duration.ofDays

- -
-
Static Method: obj = duration.ofDays (dnums)
-
-

Converts a double array representing durations in whole and fractional days -to a duration array. This is the method that is used for implicit conversion -of numerics in many cases. -

-

Returns a duration array of the same size as the input. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002eseconds.html b/docs/devel/user-guide/html/duration_002eseconds.html deleted file mode 100644 index 2380b457..00000000 --- a/docs/devel/user-guide/html/duration_002eseconds.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -duration.seconds (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.13.8 duration.seconds

- -
-
Method: out = seconds (obj)
-
-

Equivalent number of seconds. -

-

Gets the number of seconds that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/duration_002eyears.html b/docs/devel/user-guide/html/duration_002eyears.html deleted file mode 100644 index 0e08f629..00000000 --- a/docs/devel/user-guide/html/duration_002eyears.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -duration.years (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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8.2.13.9 duration.years

- -
-
Method: out = years (obj)
-
-

Equivalent number of years. -

-

Gets the number of fixed-length 365.2425-day years that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/eqn.html b/docs/devel/user-guide/html/eqn.html deleted file mode 100644 index 19b34aae..00000000 --- a/docs/devel/user-guide/html/eqn.html +++ /dev/null @@ -1,86 +0,0 @@ - - - - - - -eqn (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.14 eqn

-
-
Function: out = eqn (A, B)
-
-

Determine element-wise equality, treating NaNs as equal -

-

out = eqn (A, B) -

-

eqn is just like eq (the function that implements the -== operator), except -that it considers NaN and NaN-like values to be equal. This is the element-wise -equivalent of isequaln. -

-

eqn uses isnanny to test for NaN and NaN-like values, -which means that NaNs and NaTs are considered to be NaN-like, and -string arrays’ “missing” and categorical objects’ “undefined” values -are considered equal, because they are NaN-ish. -

-

Developer’s note: the name “eqn” is a little unfortunate, -because “eqn” could also be an abbreviation for “equation”. But this -name follows the isequaln pattern of appending an “n” to the -corresponding non-NaN-equivocating function. -

-

See also: eq, isequaln, isnanny -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/head.html b/docs/devel/user-guide/html/head.html deleted file mode 100644 index 57de19d6..00000000 --- a/docs/devel/user-guide/html/head.html +++ /dev/null @@ -1,84 +0,0 @@ - - - - - - -head (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/devel/user-guide/html/hours.html b/docs/devel/user-guide/html/hours.html deleted file mode 100644 index 0c3d8d7e..00000000 --- a/docs/devel/user-guide/html/hours.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -hours (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.16 hours

-
-
Function File: out = hours (x)
-

Create a duration x hours long, or get the hours in a duration -x. -

-

If input is numeric, returns a duration array that is that many hours in -time. -

-

If input is a duration, converts the duration to a number of hours. -

-

Returns an array the same size as x. -

- - -
- - - - - diff --git a/docs/devel/user-guide/html/index.html b/docs/devel/user-guide/html/index.html deleted file mode 100644 index b7f21051..00000000 --- a/docs/devel/user-guide/html/index.html +++ /dev/null @@ -1,496 +0,0 @@ - - - - - - -Top (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - - - - - -
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Tablicious for GNU Octave

- -

This manual is for Tablicious, version 0.4.4-SNAPSHOT. -

- - - -
-

Table of Contents

- -
- - -
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-Next:   [Contents]

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- - - - - diff --git a/docs/devel/user-guide/html/iscalendarduration.html b/docs/devel/user-guide/html/iscalendarduration.html deleted file mode 100644 index 38caf423..00000000 --- a/docs/devel/user-guide/html/iscalendarduration.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -iscalendarduration (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.17 iscalendarduration

-
-
Function: out = iscalendarduration (x)
-
-

True if input is a calendarDuration array, false otherwise. -

-

Respects iscalendarduration override methods on user-defined classes, even if -they do not inherit from calendarDuration or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/iscategorical.html b/docs/devel/user-guide/html/iscategorical.html deleted file mode 100644 index 9dec9b4c..00000000 --- a/docs/devel/user-guide/html/iscategorical.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -iscategorical (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.18 iscategorical

-
-
Function: out = iscategorical (x)
-
-

True if input is a categorical array, false otherwise. -

-

Respects iscategorical override methods on user-defined classes, even if -they do not inherit from categorical or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/isdatetime.html b/docs/devel/user-guide/html/isdatetime.html deleted file mode 100644 index f1b48719..00000000 --- a/docs/devel/user-guide/html/isdatetime.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -isdatetime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.19 isdatetime

-
-
Function: out = isdatetime (x)
-
-

True if input is a datetime array, false otherwise. -

-

Respects isdatetime override methods on user-defined classes, even if -they do not inherit from datetime or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/isduration.html b/docs/devel/user-guide/html/isduration.html deleted file mode 100644 index d6021ee1..00000000 --- a/docs/devel/user-guide/html/isduration.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -isduration (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.20 isduration

-
-
Function: out = isduration (x)
-
-

True if input is a duration array, false otherwise. -

-

Respects isduration override methods on user-defined classes, even if -they do not inherit from duration or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/isfile.html b/docs/devel/user-guide/html/isfile.html deleted file mode 100644 index d938483d..00000000 --- a/docs/devel/user-guide/html/isfile.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -isfile (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.21 isfile

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/isfolder.html b/docs/devel/user-guide/html/isfolder.html deleted file mode 100644 index 75d3f06b..00000000 --- a/docs/devel/user-guide/html/isfolder.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -isfolder (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.22 isfolder

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/isnanny.html b/docs/devel/user-guide/html/isnanny.html deleted file mode 100644 index b3a1fdfb..00000000 --- a/docs/devel/user-guide/html/isnanny.html +++ /dev/null @@ -1,87 +0,0 @@ - - - - - - -isnanny (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.23 isnanny

-
-
Function: out = isnanny (X)
-
-

Test if elements are NaN or NaN-like -

-

Tests if input elements are NaN, NaT, or otherwise NaN-like. This is true -if isnan() or isnat() returns true, and is false for types that do not support -isnan() or isnat(). -

-

This function only exists because: -

-
    -
  1. Matlab decided to call their NaN values for datetime “NaT” instead, and -test for them with a different “isnat()” function, and -
  2. isnan() errors out for some types that do not support isnan(), like cells. -
- -

isnanny() smooths over those differences so you can call it polymorphically on -any input type. Hopefully. -

-

Under normal operation, isnanny() should not throw an error for any type or -value of input. -

-

See also: ismissing, isnan, isnat, eqn, isequaln -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/istable.html b/docs/devel/user-guide/html/istable.html deleted file mode 100644 index e62945f1..00000000 --- a/docs/devel/user-guide/html/istable.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -istable (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.24 istable

-
-
Function: out = istable (x)
-
-

True if input is a table array or other table-like type, false -otherwise. -

-

Respects istable override methods on user-defined classes, even if -they do not inherit from table or were known to Tablicious at -authoring time. -

-

User-defined classes should only override istable to return true if -they conform to the table public interface. That interface is not -well-defined or documented yet, so maybe you don’t want to do that yet. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/istabular.html b/docs/devel/user-guide/html/istabular.html deleted file mode 100644 index 45f64912..00000000 --- a/docs/devel/user-guide/html/istabular.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -istabular (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.25 istabular

-
-
Function: out = istabular (x)
-
-

True if input is eitehr a table or timetable array, or an object -like them. -

-

Respects istable and istimetable override methods on user-defined -classes, even if they do not inherit from table or were known to Tablicious -at authoring time. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/istimetable.html b/docs/devel/user-guide/html/istimetable.html deleted file mode 100644 index 1aa2e482..00000000 --- a/docs/devel/user-guide/html/istimetable.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -istimetable (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.26 istimetable

-
-
Function: out = istimetable (x)
-
-

True if input is a timetable array or other timetable-like type, false -otherwise. -

-

Respects istimetable override methods on user-defined classes, even if -they do not inherit from table or were known to Tablicious at -authoring time. -

-

User-defined classes should only override istimetable to return true if -they conform to the table public interface. That interface is not -well-defined or documented yet, so maybe you don’t want to do that yet. -

-

Returns a scalar logical. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/localdate.html b/docs/devel/user-guide/html/localdate.html deleted file mode 100644 index d6b02b33..00000000 --- a/docs/devel/user-guide/html/localdate.html +++ /dev/null @@ -1,105 +0,0 @@ - - - - - - -localdate (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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-

8.2.27 localdate

-
-
Class: localdate
-
-

Represents a complete day using the Gregorian calendar. -

-

This class is useful for indexing daily-granularity data or representing -time periods that cover an entire day in local time somewhere. The major -purpose of this class is "type safety", to prevent time-of-day values -from sneaking in to data sets that should be daily only. As a secondary -benefit, this uses less memory than datetimes. -

-
- -
-
Instance Variable of localdate: double dnums
-
-

The underlying datenum values that represent the days. The datenums are at -the midnight that is at the start of the day it represents. -

-

These are doubles, but -they are restricted to be integer-valued, so they represent complete days, with -no time-of-day component. -

-
- -
-
Instance Variable of localdate: char Format
-
-

The format to display this localdate in. Currently unsupported. -

-
- - - -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002eNaT.html b/docs/devel/user-guide/html/localdate_002eNaT.html deleted file mode 100644 index a3025f36..00000000 --- a/docs/devel/user-guide/html/localdate_002eNaT.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -localdate.NaT (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.27.9 localdate.NaT

- -
-
Static Method: out = localdate.NaT ()
-
Static Method: out = localdate.NaT (sz)
-
-

“Not-a-Time”: Creates NaT-valued arrays. -

-

Constructs a new datetime array of all NaT values of -the given size. If no input sz is given, the result is a scalar NaT. -

-

NaT is the datetime equivalent of NaN. It represents a missing -or invalid value. NaT values never compare equal to, greater than, or less -than any value, including other NaTs. Doing arithmetic with a NaT and -any other value results in a NaT. -

-

This static method is provided because the global NaT function creates -datetimes, not localdates -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002edatenum.html b/docs/devel/user-guide/html/localdate_002edatenum.html deleted file mode 100644 index 798a9428..00000000 --- a/docs/devel/user-guide/html/localdate_002edatenum.html +++ /dev/null @@ -1,68 +0,0 @@ - - - - - - -localdate.datenum (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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-
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8.2.27.1 localdate.datenum

- -
-
Method: out = datenum (obj)
-
-

Convert this to datenums that represent midnight on obj’s days. -

-

Returns double array of same size as this. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002edatestr.html b/docs/devel/user-guide/html/localdate_002edatestr.html deleted file mode 100644 index 0f7f6d07..00000000 --- a/docs/devel/user-guide/html/localdate_002edatestr.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -localdate.datestr (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.27.2 localdate.datestr

- -
-
Method: out = datestr (obj)
-
Method: out = datestr (obj, …)
-
-

Format obj as date strings. Supports all arguments that core Octave’s -datestr does. -

-

Returns date strings as a 2-D char array. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002edatestrs.html b/docs/devel/user-guide/html/localdate_002edatestrs.html deleted file mode 100644 index 5a9f2d6b..00000000 --- a/docs/devel/user-guide/html/localdate_002edatestrs.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -localdate.datestrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.27.3 localdate.datestrs

- -
-
Method: out = datestrs (obj)
-
Method: out = datestrs (obj, …)
-
-

Format obj as date strings, returning cellstr. -Supports all arguments that core Octave’s datestr does. -

-

Returns a cellstr array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002edatestruct.html b/docs/devel/user-guide/html/localdate_002edatestruct.html deleted file mode 100644 index 814df5a1..00000000 --- a/docs/devel/user-guide/html/localdate_002edatestruct.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -localdate.datestruct (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.27.4 localdate.datestruct

- -
-
Method: out = datestruct (obj)
-
-

Converts this to a “datestruct” broken-down time structure. -

-

A “datestruct” is a format of struct that Tablicious came up with. It is a scalar -struct with fields Year, Month, and Day, each containing -a double array the same size as the date array it represents. This format -differs from the “datestruct” used by datetime in that it lacks -Hour, Minute, and Second components. This is done for efficiency. -

-

The values in the returned broken-down time are those of the local time -in obj’s defined time zone, if it has one. -

-

Returns a struct with fields Year, Month, and Day. -Each field contains a double array of the same size as this. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002edispstrs.html b/docs/devel/user-guide/html/localdate_002edispstrs.html deleted file mode 100644 index 8806e5d5..00000000 --- a/docs/devel/user-guide/html/localdate_002edispstrs.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -localdate.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.27.5 localdate.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002eisnan.html b/docs/devel/user-guide/html/localdate_002eisnan.html deleted file mode 100644 index cadff89f..00000000 --- a/docs/devel/user-guide/html/localdate_002eisnan.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -localdate.isnan (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.27.6 localdate.isnan

- -
-
Method: out = isnan (obj)
-
-

True if input elements are NaT. This is an alias for isnat -to support type compatibility and polymorphic programming. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002eisnat.html b/docs/devel/user-guide/html/localdate_002eisnat.html deleted file mode 100644 index 248a162e..00000000 --- a/docs/devel/user-guide/html/localdate_002eisnat.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -localdate.isnat (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.27.7 localdate.isnat

- -
-
Method: out = isnat (obj)
-
-

True if input elements are NaT. -

-

Returns logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002elocaldate.html b/docs/devel/user-guide/html/localdate_002elocaldate.html deleted file mode 100644 index 62b992c7..00000000 --- a/docs/devel/user-guide/html/localdate_002elocaldate.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -localdate.localdate (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.27.8 localdate.localdate

- -
-
Constructor: obj = localdate ()
-
-

Constructs a new scalar localdate containing the current local date. -

-
- -
-
Constructor: obj = localdate (datenums)
-
Constructor: obj = localdate (datestrs)
-
Constructor: obj = localdate (Y, M, D)
-
Constructor: obj = localdate (…, 'Format', Format)
-
-

Constructs a new localdate array based on input values. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002eposixtime.html b/docs/devel/user-guide/html/localdate_002eposixtime.html deleted file mode 100644 index 412fa26c..00000000 --- a/docs/devel/user-guide/html/localdate_002eposixtime.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -localdate.posixtime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.27.10 localdate.posixtime

- -
-
Method: out = posixtime (obj)
-
-

Converts this to POSIX time values for midnight of obj’s days. -

-

Converts this to POSIX time values that represent the same date. The -returned values will be doubles that will not include fractional second values. -The times returned are those of midnight UTC on obj’s days. -

-

Returns double array of same size as this. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/localdate_002eymd.html b/docs/devel/user-guide/html/localdate_002eymd.html deleted file mode 100644 index cd76790e..00000000 --- a/docs/devel/user-guide/html/localdate_002eymd.html +++ /dev/null @@ -1,68 +0,0 @@ - - - - - - -localdate.ymd (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.27.11 localdate.ymd

- -
-
Method: [y, m, d] = ymd (obj)
-
-

Get the Year, Month, and Day components of obj. -

-

Returns double arrays the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/milliseconds.html b/docs/devel/user-guide/html/milliseconds.html deleted file mode 100644 index 7d9de5d4..00000000 --- a/docs/devel/user-guide/html/milliseconds.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -milliseconds (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.28 milliseconds

-
-
Function File: out = milliseconds (x)
-

Create a duration x milliseconds long, or get the milliseconds in a duration -x. -

-

If input is numeric, returns a duration array that is that many milliseconds in -time. -

-

If input is a duration, converts the duration to a number of milliseconds. -

-

Returns an array the same size as x. -

- - -
- - - - - diff --git a/docs/devel/user-guide/html/minutes.html b/docs/devel/user-guide/html/minutes.html deleted file mode 100644 index 297838cc..00000000 --- a/docs/devel/user-guide/html/minutes.html +++ /dev/null @@ -1,67 +0,0 @@ - - - - - - -minutes (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.29 minutes

-
-
Function File: out = hours (x)
-

Create a duration x hours long, or get the hours in a duration -x. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/missing.html b/docs/devel/user-guide/html/missing.html deleted file mode 100644 index 53036a89..00000000 --- a/docs/devel/user-guide/html/missing.html +++ /dev/null @@ -1,95 +0,0 @@ - - - - - - -missing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.30 missing

-
-
Class: missing
-
-

Generic auto-converting missing value. -

-

missing is a generic missing value that auto-converts to other -types. -

-

A missing array indicates a missing value, of no particular type. It auto- -converts to other types when it is combined with them via concatenation or -other array combination operations. -

-

This class is currently EXPERIMENTAL. Use at your own risk. -

-

Note: This class does not actually work for assignment. If you do this: -

-
-
  x = 1:5
-  x(3) = missing
-
- -

It’s supposed to work, but I can’t figure out how to do this in a normal -classdef object, because there doesn’t seem to be any function that’s implicitly -called for type conversion in that assignment. Darn it. -

-
- - - -
- - - - - diff --git a/docs/devel/user-guide/html/missing_002edispstrs.html b/docs/devel/user-guide/html/missing_002edispstrs.html deleted file mode 100644 index d1f217f4..00000000 --- a/docs/devel/user-guide/html/missing_002edispstrs.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -missing.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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8.2.30.1 missing.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Display strings. -

-

Gets display strings for each element in obj. -

-

For missing, the display strings are always '<missing>'. -

-

Returns a cellstr the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/missing_002eismissing.html b/docs/devel/user-guide/html/missing_002eismissing.html deleted file mode 100644 index 5ef5caa8..00000000 --- a/docs/devel/user-guide/html/missing_002eismissing.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -missing.ismissing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.30.2 missing.ismissing

- -
-
Method: out = ismissing (obj)
-
-

Test whether elements are missing values. -

-

ismissing is always true for missing arrays. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/missing_002eisnan.html b/docs/devel/user-guide/html/missing_002eisnan.html deleted file mode 100644 index 321394e0..00000000 --- a/docs/devel/user-guide/html/missing_002eisnan.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -missing.isnan (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.30.3 missing.isnan

- -
-
Method: out = isnan (obj)
-
-

Test whether elements are NaN. -

-

isnan is always true for missing arrays. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/missing_002eisnanny.html b/docs/devel/user-guide/html/missing_002eisnanny.html deleted file mode 100644 index e482ad96..00000000 --- a/docs/devel/user-guide/html/missing_002eisnanny.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -missing.isnanny (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.30.4 missing.isnanny

- -
-
Method: out = isnanny (obj)
-
-

Test whether elements are NaN-like. -

-

isnanny is always true for missing arrays. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/missing_002emissing.html b/docs/devel/user-guide/html/missing_002emissing.html deleted file mode 100644 index e85ba953..00000000 --- a/docs/devel/user-guide/html/missing_002emissing.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -missing.missing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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-
-

8.2.30.5 missing.missing

- -
-
Constructor: obj = missing ()
-
-

Constructs a scalar missing array. -

-

The constructor takes no arguments, since there’s only one -missing value. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/mustBeA.html b/docs/devel/user-guide/html/mustBeA.html deleted file mode 100644 index e7d874ef..00000000 --- a/docs/devel/user-guide/html/mustBeA.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeA (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.31 mustBeA

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeCellstr.html b/docs/devel/user-guide/html/mustBeCellstr.html deleted file mode 100644 index 7d0c9527..00000000 --- a/docs/devel/user-guide/html/mustBeCellstr.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeCellstr (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.32 mustBeCellstr

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeCharvec.html b/docs/devel/user-guide/html/mustBeCharvec.html deleted file mode 100644 index 55c6f3b4..00000000 --- a/docs/devel/user-guide/html/mustBeCharvec.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeCharvec (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.33 mustBeCharvec

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeFinite.html b/docs/devel/user-guide/html/mustBeFinite.html deleted file mode 100644 index 3235c739..00000000 --- a/docs/devel/user-guide/html/mustBeFinite.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeFinite (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.34 mustBeFinite

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeInteger.html b/docs/devel/user-guide/html/mustBeInteger.html deleted file mode 100644 index d9726a94..00000000 --- a/docs/devel/user-guide/html/mustBeInteger.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeInteger (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.35 mustBeInteger

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeMember.html b/docs/devel/user-guide/html/mustBeMember.html deleted file mode 100644 index 6d92bdfd..00000000 --- a/docs/devel/user-guide/html/mustBeMember.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeMember (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.36 mustBeMember

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeNonempty.html b/docs/devel/user-guide/html/mustBeNonempty.html deleted file mode 100644 index 9d9049cf..00000000 --- a/docs/devel/user-guide/html/mustBeNonempty.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeNonempty (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.37 mustBeNonempty

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeNumeric.html b/docs/devel/user-guide/html/mustBeNumeric.html deleted file mode 100644 index 0fa6a7b0..00000000 --- a/docs/devel/user-guide/html/mustBeNumeric.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeNumeric (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.38 mustBeNumeric

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeReal.html b/docs/devel/user-guide/html/mustBeReal.html deleted file mode 100644 index a89c807b..00000000 --- a/docs/devel/user-guide/html/mustBeReal.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeReal (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.39 mustBeReal

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeSameSize.html b/docs/devel/user-guide/html/mustBeSameSize.html deleted file mode 100644 index c7dd1977..00000000 --- a/docs/devel/user-guide/html/mustBeSameSize.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeSameSize (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.40 mustBeSameSize

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeScalar.html b/docs/devel/user-guide/html/mustBeScalar.html deleted file mode 100644 index 511321e2..00000000 --- a/docs/devel/user-guide/html/mustBeScalar.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeScalar (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.41 mustBeScalar

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeScalarLogical.html b/docs/devel/user-guide/html/mustBeScalarLogical.html deleted file mode 100644 index b81c9d1d..00000000 --- a/docs/devel/user-guide/html/mustBeScalarLogical.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeScalarLogical (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.42 mustBeScalarLogical

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/mustBeVector.html b/docs/devel/user-guide/html/mustBeVector.html deleted file mode 100644 index ae554e20..00000000 --- a/docs/devel/user-guide/html/mustBeVector.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -mustBeVector (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.43 mustBeVector

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/pp.html b/docs/devel/user-guide/html/pp.html deleted file mode 100644 index 5faf4bdb..00000000 --- a/docs/devel/user-guide/html/pp.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -pp (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.47 pp

-
-
Function: pp (X)
-
Function: pp (A, B, C, …)
-
Function: pp ('A', 'B', 'C', …)
-
Function: pp A B C …
-
-

Alias for prettyprint, for interactive use. -

-

This is an alias for prettyprint(), with additional name-conversion magic. -

-

If you pass in a char, instead of pretty-printing that directly, it will -grab and pretty-print the variable of that name from the caller’s workspace. -This is so you can conveniently run it from the command line. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/scalarexpand.html b/docs/devel/user-guide/html/scalarexpand.html deleted file mode 100644 index 0136a824..00000000 --- a/docs/devel/user-guide/html/scalarexpand.html +++ /dev/null @@ -1,89 +0,0 @@ - - - - - - -scalarexpand (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.48 scalarexpand

-
-
Function: [out1, out2, …, outN] = scalarexpand (x1, x2, …, xN)
-
-

Expand scalar inputs to match size of non-scalar inputs. -

-

Expands each scalar input argument to match the size of the non-scalar -input arguments, and returns the expanded values in the corresponding -output arguments. repmat is used to do the expansion. -

-

Works on any input types that support size, isscalar, and -repmat. -

-

It is an error if any of the non-scalar inputs are not the same size as -all of the other non-scalar inputs. -

-

Returns as many output arguments as there were input arguments. -

-

Examples: -

-
-
x1 = rand(3);
-x2 = 42;
-x3 = magic(3);
-[x1, x2, x3] = scalarexpand (x1, x2, x3)
-
- -
- - -
- - - - - diff --git a/docs/devel/user-guide/html/seconds.html b/docs/devel/user-guide/html/seconds.html deleted file mode 100644 index 43f600a2..00000000 --- a/docs/devel/user-guide/html/seconds.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -seconds (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.49 seconds

-
-
Function File: out = seconds (x)
-

Create a duration x seconds long, or get the seconds in a duration -x. -

-

If input is numeric, returns a duration array that is that many seconds in -time. -

-

If input is a duration, converts the duration to a number of seconds. -

-

Returns an array the same size as x. -

- - -
- - - - - diff --git a/docs/devel/user-guide/html/size2str.html b/docs/devel/user-guide/html/size2str.html deleted file mode 100644 index 06782685..00000000 --- a/docs/devel/user-guide/html/size2str.html +++ /dev/null @@ -1,83 +0,0 @@ - - - - - - -size2str (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.50 size2str

-
-
Function: out = size2str (sz)
-
-

Format an array size for display. -

-

Formats the given array size sz as a string for human-readable -display. It will be in the format “d1-by-d2-...-by-dN”, for the N -dimensions represented by sz. -

-

sz is an array of dimension sizes, in the format returned by -the size function. -

-

Returns a charvec. -

-

Examples: -

-
str = size2str (size (magic (4)))
-    ⇒ str = 4-by-4
-
- -
- - -
- - - - - diff --git a/docs/devel/user-guide/html/splitapply.html b/docs/devel/user-guide/html/splitapply.html deleted file mode 100644 index 3e52c247..00000000 --- a/docs/devel/user-guide/html/splitapply.html +++ /dev/null @@ -1,87 +0,0 @@ - - - - - - -splitapply (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.51 splitapply

-
-
Function: out = splitapply (func, X, G)
-
Function: out = splitapply (func, X1, …, XN, G)
-
Function: [Y1, …, YM] = splitapply (…)
-
-

Split data into groups and apply function. -

-

func is a function handle to call on each group of inputs in turn. -

-

X, X1, …, XN are the input variables that are split into -groups for the function calls. If X is a table, then its contained -variables are “popped out” and considered to be the X1 … XN -input variables. -

-

G is the grouping variable vector. It contains a list of integers that -identify which group each element of the X input variables belongs to. -NaNs in G mean that element is ignored. -

-

Vertically concatenates the function outputs for each of the groups and returns them in -as many variables as you capture. -

-

Returns the concatenated outputs of applying func to each group. -

-

See also: table.groupby, table.splitapply -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/string.html b/docs/devel/user-guide/html/string.html deleted file mode 100644 index d3886de7..00000000 --- a/docs/devel/user-guide/html/string.html +++ /dev/null @@ -1,160 +0,0 @@ - - - - - - -string (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.52 string

-
-
Class: string
-
-

A string array of Unicode strings. -

-

A string array is an array of strings, where each array element is a single -string. -

-

The string class represents strings, where: -

    -
  • Each element of a string array is a single string - -
  • A single string is a 1-dimensional row vector of Unicode characters - -
  • Those characters are encoded in UTF-8 - -
      -
    • This last bit depends on the fact that Octave chars are UTF-8 now -
    - -
- -

This should correspond pretty well to what people think of as strings, and -is pretty compatible with people’s typical notion of strings in Octave. -

-

String arrays also have a special “missing” value, that is like the string -equivalent of NaN for doubles or “undefined” for categoricals, or SQL NULL. -

-

This is a slightly higher-level and more strongly-typed way of representing -strings than cellstrs are. (A cellstr array is of type cell, not a text- -specific type, and allows assignment of non-string data into it.) -

-

Be aware that while string arrays interconvert with Octave chars and cellstrs, -Octave char elements represent 8-bit UTF-8 code units, not Unicode code points. -

-

This class really serves three roles: -

-
    -
  1. It is a type-safe object wrapper around Octave’s base primitive character types. - -
  2. It adds ismissing() semantics. - -
  3. And it introduces Unicode support. - -
- -

Not clear whether it’s a good fit to have the Unicode support wrapped -up in this. Maybe it should just be a simple object wrapper -wrapper, and defer Unicode semantics to when core Octave adopts them for -char and cellstr. On the other hand, because Octave chars are UTF-8, not UCS-2, -some methods like strlength() and reverse() are just going to be wrong if -they delegate straight to chars. -

-

“Missing” string values work like NaNs. They are never considered equal, -less than, or greater to any other string, including other missing strings. -This applies to set membership and other equivalence tests. -

-

TODO: Need to decide how far to go with Unicode semantics, and how much to -just make this an object wrapper over cellstr and defer to Octave’s existing -char/string-handling functions. -

-

TODO: demote_strings should probably be static or global, so that other -functions can use it to hack themselves into being string-aware. -

-
- - - -
-
-
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-Next: struct2table, Previous: splitapply, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/string_002ecell.html b/docs/devel/user-guide/html/string_002ecell.html deleted file mode 100644 index d85f9f64..00000000 --- a/docs/devel/user-guide/html/string_002ecell.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -string.cell (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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8.2.52.1 string.cell

- -
-
Method: out = cell (obj)
-
-

Convert to cell array. -

-

Converts this to a cell, which will be a cellstr. Missing values are -converted to ''. -

-

This method returns the same values as cellstr(obj); it is just provided -for interface compatibility purposes. -

-

Returns a cell array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002ecellstr.html b/docs/devel/user-guide/html/string_002ecellstr.html deleted file mode 100644 index f3095704..00000000 --- a/docs/devel/user-guide/html/string_002ecellstr.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -string.cellstr (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.52.2 string.cellstr

- -
-
Method: out = cellstr (obj)
-
-

Convert to cellstr. -

-

Converts obj to a cellstr. Missing values are converted to ''. -

-

Returns a cellstr array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002echar.html b/docs/devel/user-guide/html/string_002echar.html deleted file mode 100644 index b43f95ec..00000000 --- a/docs/devel/user-guide/html/string_002echar.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -string.char (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.52.3 string.char

- -
-
Method: out = char (obj)
-
-

Convert to char array. -

-

Converts obj to a 2-D char array. It will have as many rows -as obj has elements. -

-

It is an error to convert missing-valued string arrays to -char. (NOTE: This may change in the future; it may be more appropriate) -to convert them to space-padded empty strings.) -

-

Returns 2-D char array. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002ecmp.html b/docs/devel/user-guide/html/string_002ecmp.html deleted file mode 100644 index 29956260..00000000 --- a/docs/devel/user-guide/html/string_002ecmp.html +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - -string.cmp (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.4 string.cmp

- -
-
Method: [out, outA, outB] = cmp (A, B)
-
-

Value ordering comparison, returning -1/0/+1. -

-

Compares each element of A and B, returning for -each element i whether A(i) was less than (-1), -equal to (0), or greater than (1) the corresponding B(i). -

-

TODO: What to do about missing values? Should missings sort to the end -(preserving total ordering over the full domain), or should their comparisons -result in a fourth "null"/"undef" return value, probably represented by NaN? -FIXME: The current implementation does not handle missings. -

-

Returns a numeric array out of the same size as the scalar expansion -of A and B. Each value in it will be -1, 0, or 1. -

-

Also returns scalar-expanded copies of A and B as outA and -outB, as a programming convenience. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002edecode.html b/docs/devel/user-guide/html/string_002edecode.html deleted file mode 100644 index c88a312b..00000000 --- a/docs/devel/user-guide/html/string_002edecode.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -string.decode (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.52.5 string.decode

- -
-
Static Method: out = string.decode (bytes, charsetName)
-
-

Decode encoded text from bytes. -

-

Decodes the given encoded text in bytes according to the specified -encoding, given by charsetName. -

-

Returns a scalar string. -

-

See also: string.encode -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002edispstrs.html b/docs/devel/user-guide/html/string_002edispstrs.html deleted file mode 100644 index 6d803e6d..00000000 --- a/docs/devel/user-guide/html/string_002edispstrs.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -string.dispstrs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.6 string.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Display strings for array elements. -

-

Gets display strings for all the elements in obj. These display strings -will either be the string contents of the element, enclosed in "...", -and with CR/LF characters replaced with '\r' and '\n' escape sequences, -or "<missing>" for missing values. -

-

Returns a cellstr of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eempty.html b/docs/devel/user-guide/html/string_002eempty.html deleted file mode 100644 index 422c4735..00000000 --- a/docs/devel/user-guide/html/string_002eempty.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -string.empty (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.52.7 string.empty

- -
-
Function: out = empty (sz)
-
-

Get an empty string array of a specified size. -

-

The argument sz is optional. If supplied, it is a numeric size -array whose product must be zero. If omitted, it defaults to [0 0]. -

-

The size may also be supplied as multiple arguments containing -scalar numerics. -

-

Returns an empty string array of the requested size. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eencode.html b/docs/devel/user-guide/html/string_002eencode.html deleted file mode 100644 index 4d2bfdd9..00000000 --- a/docs/devel/user-guide/html/string_002eencode.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -string.encode (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.8 string.encode

- -
-
Method: out = encode (obj, charsetName)
-
-

Encode string in a given character encoding. -

-

obj must be scalar. -

-

charsetName (charvec) is the name of a character encoding. -(TODO: Document what determines the set of valid encoding names.) -

-

Returns the encoded string as a uint8 vector. -

-

See also: string.decode. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eerase.html b/docs/devel/user-guide/html/string_002eerase.html deleted file mode 100644 index b3b69e75..00000000 --- a/docs/devel/user-guide/html/string_002eerase.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -string.erase (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.9 string.erase

- -
-
Method: out = erase (obj, match)
-
-

Erase matching substring. -

-

Erases the substrings in obj which match the match input. -

-

Returns a string array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eismissing.html b/docs/devel/user-guide/html/string_002eismissing.html deleted file mode 100644 index 274c237b..00000000 --- a/docs/devel/user-guide/html/string_002eismissing.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -string.ismissing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.10 string.ismissing

- -
-
Method: out = ismissing (obj)
-
-

Test whether array elements are missing. -

-

For string arrays, only the special “missing” value is -considered missing. Empty strings are not considered missing, -the way they are with cellstrs. -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eisnanny.html b/docs/devel/user-guide/html/string_002eisnanny.html deleted file mode 100644 index 4d977c9b..00000000 --- a/docs/devel/user-guide/html/string_002eisnanny.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -string.isnanny (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.52.11 string.isnanny

- -
-
Method: out = isnanny (obj)
-
-

Test whether array elements are NaN-like. -

-

Missing values are considered nannish; any other string value is not. -

-

Returns a logical array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eisstring.html b/docs/devel/user-guide/html/string_002eisstring.html deleted file mode 100644 index b648742a..00000000 --- a/docs/devel/user-guide/html/string_002eisstring.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -string.isstring (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.52.12 string.isstring

- -
-
Method: out = isstring (obj)
-
-

Test if input is a string array. -

-

isstring is always true for string inputs. -

-

Returns a scalar logical. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002elower.html b/docs/devel/user-guide/html/string_002elower.html deleted file mode 100644 index 64557641..00000000 --- a/docs/devel/user-guide/html/string_002elower.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -string.lower (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.52.13 string.lower

- -
-
Method: out = lower (obj)
-
-

Convert to lower case. -

-

Converts all the characters in all the strings in obj to lower case. -

-

This currently delegates to Octave’s own lower() function to -do the conversion, so whatever character class handling it has, this -has. -

-

Returns a string array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002emissing.html b/docs/devel/user-guide/html/string_002emissing.html deleted file mode 100644 index 98fb4deb..00000000 --- a/docs/devel/user-guide/html/string_002emissing.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -string.missing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.52.14 string.missing

- -
-
Static Method: out = string.missing (sz)
-
-

Missing string value. -

-

Creates a string array of all-missing values of the specified size sz. -If sz is omitted, creates a scalar missing string. -

-

Returns a string array of size sz or [1 1]. -

-

See also: NaS -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eplus.html b/docs/devel/user-guide/html/string_002eplus.html deleted file mode 100644 index 813f6adf..00000000 --- a/docs/devel/user-guide/html/string_002eplus.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -string.plus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.52.15 string.plus

- -
-
Method: out = plus (a, b)
-
-

String concatenation via plus operator. -

-

Concatenates the two input arrays, string-wise. Inputs that are -not string arrays are converted to string arrays. -

-

The concatenation is done by calling ‘strcat‘ on the inputs, and has the -same behavior. -

-

Returns a string array the same size as the scalar expansion of its -inputs. -

-

See also: string.strcat -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eregexprep.html b/docs/devel/user-guide/html/string_002eregexprep.html deleted file mode 100644 index 35cf884b..00000000 --- a/docs/devel/user-guide/html/string_002eregexprep.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -string.regexprep (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.52.16 string.regexprep

- -
-
Method: out = regexprep (obj, pat, repstr)
-
Method: out = regexprep (…, varargin)
-
-

Replace based on regular expression matching. -

-

Replaces all the substrings matching a given regexp pattern pat with -the given replacement text repstr. -

-

Returns a string array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002ereverse.html b/docs/devel/user-guide/html/string_002ereverse.html deleted file mode 100644 index 256c47ff..00000000 --- a/docs/devel/user-guide/html/string_002ereverse.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -string.reverse (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.52.17 string.reverse

- -
-
Method: out = reverse (obj)
-
-

Reverse string, character-wise. -

-

Reverses the characters in each string in obj. This operates on -Unicode characters (code points), not on bytes, so it is guaranteed -to produce valid UTF-8 as its output. -

-

Returns a string array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002ereverse_005fbytes.html b/docs/devel/user-guide/html/string_002ereverse_005fbytes.html deleted file mode 100644 index 2375c162..00000000 --- a/docs/devel/user-guide/html/string_002ereverse_005fbytes.html +++ /dev/null @@ -1,81 +0,0 @@ - - - - - - -string.reverse_bytes (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.52.18 string.reverse_bytes

- -
-
Method: out = reverse_bytes (obj)
-
-

Reverse string, byte-wise. -

-

Reverses the bytes in each string in obj. This operates on bytes -(Unicode code units), not characters. -

-

This may well produce invalid strings as a result, because reversing a -UTF-8 byte sequence does not necessarily produce another valid UTF-8 -byte sequence. -

-

You probably do not want to use this method. You probably want to use -string.reverse instead. -

-

Returns a string array the same size as obj. -

-

See also: string.reverse -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estrcat.html b/docs/devel/user-guide/html/string_002estrcat.html deleted file mode 100644 index 34a17ddd..00000000 --- a/docs/devel/user-guide/html/string_002estrcat.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -string.strcat (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.52.19 string.strcat

- -
-
Method: out = strcat (varargin)
-
-

String concatenation. -

-

Concatenates the corresponding elements of all the input arrays, -string-wise. Inputs that are not string arrays are converted to -string arrays. -

-

The semantics of concatenating missing strings with non-missing -strings has not been determined yet. -

-

Returns a string array the same size as the scalar expansion of its -inputs. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estrcmp.html b/docs/devel/user-guide/html/string_002estrcmp.html deleted file mode 100644 index 931893dc..00000000 --- a/docs/devel/user-guide/html/string_002estrcmp.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -string.strcmp (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.20 string.strcmp

- -
-
Method: out = strcmp (A, B)
-
-

String comparison. -

-

Tests whether each element in A is exactly equal to the corresponding -element in B. Missing values are not considered equal to each other. -

-

This does the same comparison as A == B, but is not polymorphic. -Generally, there is no reason to use strcmp instead of == -or eq on string arrays, unless you want to be compatible with -cellstr inputs as well. -

-

Returns logical array the size of the scalar expansion of A and B. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estrfind.html b/docs/devel/user-guide/html/string_002estrfind.html deleted file mode 100644 index 81fd95e2..00000000 --- a/docs/devel/user-guide/html/string_002estrfind.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -string.strfind (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.52.21 string.strfind

- -
-
Method: out = strfind (obj, pattern)
-
Method: out = strfind (…, varargin)
-
-

Find pattern in string. -

-

Finds the locations where pattern occurs in the strings of obj. -

-

TODO: It’s ambiguous whether a scalar this should result in a numeric -out or a cell array out. -

-

Returns either an index vector, or a cell array of index vectors. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estring.html b/docs/devel/user-guide/html/string_002estring.html deleted file mode 100644 index ad0117cd..00000000 --- a/docs/devel/user-guide/html/string_002estring.html +++ /dev/null @@ -1,81 +0,0 @@ - - - - - - -string.string (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.22 string.string

- -
-
Constructor: obj = string ()
-
Constructor: obj = string (in)
-
-

Construct a new string array. -

-

The zero-argument constructor creates a new scalar string array -whose value is the empty string. -

-

The other constructors construct a new string array by converting -various types of inputs. -

-
    -
  • chars and cellstrs are converted via cellstr() -
  • numerics are converted via num2str() -
  • datetimes are converted via datestr() -
- -
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estrlength.html b/docs/devel/user-guide/html/string_002estrlength.html deleted file mode 100644 index e078989c..00000000 --- a/docs/devel/user-guide/html/string_002estrlength.html +++ /dev/null @@ -1,84 +0,0 @@ - - - - - - -string.strlength (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.23 string.strlength

- -
-
Method: out = strlength (obj)
-
-

String length in characters (actually, UTF-16 code units). -

-

Gets the length of each string, counted in UTF-16 code units. In most -cases, this is the same as the number of characters. The exception is for -characters outside the Unicode Basic Multilingual Plane, which are -represented with UTF-16 surrogate pairs, and thus will count as 2 characters -each. -

-

The reason this method counts UTF-16 code units, instead of Unicode code -points (true characters), is for Matlab compatibility. -

-

This is the string length method you probably want to use, -not strlength_bytes. -

-

Returns double array of the same size as obj. Returns NaNs for missing -strings. -

-

See also: string.strlength_bytes -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estrlength_005fbytes.html b/docs/devel/user-guide/html/string_002estrlength_005fbytes.html deleted file mode 100644 index 072aec37..00000000 --- a/docs/devel/user-guide/html/string_002estrlength_005fbytes.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -string.strlength_bytes (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.24 string.strlength_bytes

- -
-
Method: out = strlength_bytes (obj)
-
-

String length in bytes. -

-

Gets the length of each string in obj, counted in Unicode UTF-8 -code units (bytes). This is the same as numel(str) for the corresponding -Octave char vector for each string, but may not be what you -actually want to use. You may want strlength instead. -

-

Returns double array of the same size as obj. Returns NaNs for missing -strings. -

-

See also: string.strlength -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002estrrep.html b/docs/devel/user-guide/html/string_002estrrep.html deleted file mode 100644 index a65c6002..00000000 --- a/docs/devel/user-guide/html/string_002estrrep.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -string.strrep (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.52.25 string.strrep

- -
-
Method: out = strrep (obj, match, replacement)
-
Method: out = strrep (…, varargin)
-
-

Replace occurrences of pattern with other string. -

-

Replaces matching substrings in obj with a given replacement string. -

-

varargin is passed along to the core Octave strrep function. This -supports whatever options it does. -TODO: Maybe document what those options are. -

-

Returns a string array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/string_002eupper.html b/docs/devel/user-guide/html/string_002eupper.html deleted file mode 100644 index c52e418c..00000000 --- a/docs/devel/user-guide/html/string_002eupper.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -string.upper (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.52.26 string.upper

- -
-
Method: out = upper (obj)
-
-

Convert to upper case. -

-

Converts all the characters in all the strings in obj to upper case. -

-

This currently delegates to Octave’s own upper() function to -do the conversion, so whatever character class handling it has, this -has. -

-

Returns a string array of the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/struct2table.html b/docs/devel/user-guide/html/struct2table.html deleted file mode 100644 index 5da897c0..00000000 --- a/docs/devel/user-guide/html/struct2table.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -struct2table (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.53 struct2table

-
-
Function: out = struct2table (s)
-
Function: out = struct2table (…, 'AsArray', AsArray)
-
-

Convert struct to a table. -

-

Converts the input struct s to a table. -

-

s may be a scalar struct or a nonscalar struct array. -

-

The AsArray option is not implemented yet. -

-

Returns a table. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/table.html b/docs/devel/user-guide/html/table.html deleted file mode 100644 index fb9de00e..00000000 --- a/docs/devel/user-guide/html/table.html +++ /dev/null @@ -1,199 +0,0 @@ - - - - - - -table (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-
-

8.2.54 table

-
-
Class: table
-
-

Tabular data array containing multiple columnar variables. -

-

A table is a tabular data structure that collects multiple parallel -named variables. -Each variable is treated like a column. (Possibly a multi-columned column, if -that makes sense.) -The types of variables may be heterogeneous. -

-

A table object is like an SQL table or resultset, or a relation, or a -DataFrame in R or Pandas. -

-

A table is an array in itself: its size is nrows-by-nvariables, -and you can index along the rows and variables by indexing into the table -along dimensions 1 and 2. -

-

A note on accessing properties of a table array: Because .-indexing is -used to access the variables inside the array, it can’t also be directly used -to access properties as well. Instead, do t.Properties.<property> for -a table t. That will give you a property instead of a variable. -(And due to this mechanism, it will cause problems if you have a table -with a variable named Properties. Try to avoid that.) -

-

WARNING ABOUT HANDLE CLASSES IN TABLE VARIABLES -

-

Using a handle class in a table variable (column) value may lead to unpredictable -and buggy behavior! A handle class array is a reference type, and it holds shared -mutable state, which may be shared with references to it in other table arrays or -outside the table array. The table class makes no guarantees about what it will -or will not do internally with arrays that are held in table variables, and any -operation on a table holding handle arrays may have unpredictable and undesirable -side effects. These side effects may change between versions of Tablicious. -

-

We currently recommend that you do not use handle classes in table variables. It -may be okay to use handle classes *inside* cells or other non-handle composite types -that are used in table variables, but this hasn’t been fully thought through or -tested. -

-

See also: tblish.table.grpstats, tblish.evalWithTableVars, tblish.examples.SpDb -

-
- -
-
Instance Variable of table: cellstr VariableNames
-
-

The names of the variables in the table, as a cellstr row vector. -

-
- -
-
Instance Variable of table: cell VariableValues
-
-

A cell vector containing the values for each of the variables. -VariableValues(i) corresponds to VariableNames(i). -

-
- -
-
Instance Variable of table: cellstr RowNames
-
-

An optional list of row names that identify each row in the table. This -is a cellstr column vector, if present. -

-
- -
-
Instance Variable of table: cellstr DimensionNames
-
-

Names for the two dimensions of the table array, as a cellstr row vector. Always -exactly 2-long, because tables are always exactly 2-D. Defaults to -{"Row", "Variables"}. (I feel the singular "Row" and plural "Variables" here -are inconsistent, but that’s what Matlab uses, so Tablicious uses it too, for -Matlab compatibility.) -

-
- - - -
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-
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-Next: tableOuterFillValue, Previous: struct2table, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tableOuterFillValue.html b/docs/devel/user-guide/html/tableOuterFillValue.html deleted file mode 100644 index f1c06a1c..00000000 --- a/docs/devel/user-guide/html/tableOuterFillValue.html +++ /dev/null @@ -1,59 +0,0 @@ - - - - - - -tableOuterFillValue (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.55 tableOuterFillValue

-

Not documented -

- - - - - diff --git a/docs/devel/user-guide/html/table_002eaddvars.html b/docs/devel/user-guide/html/table_002eaddvars.html deleted file mode 100644 index c2102c93..00000000 --- a/docs/devel/user-guide/html/table_002eaddvars.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -table.addvars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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8.2.54.1 table.addvars

- -
-
Method: out = addvars (obj, var1, …, varN)
-
Method: out = addvars (…, 'Before', Before)
-
Method: out = addvars (…, 'After', After)
-
Method: out = addvars (…, 'NewVariableNames', NewVariableNames)
-
-

Add variables to table. -

-

Adds the specified variables to a table. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eantijoin.html b/docs/devel/user-guide/html/table_002eantijoin.html deleted file mode 100644 index e2105cbe..00000000 --- a/docs/devel/user-guide/html/table_002eantijoin.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -table.antijoin (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.54.2 table.antijoin

- -
-
Method: [outA, ixA, outB, ixB] = antijoin (A, B)
-
-

Natural antijoin (AKA “semidifference”). -

-

Computes the anti-join of A and B. The anti-join is defined as all the -rows from one input which do not have matching rows in the other input. -

-

Returns: - outA - all the rows in A with no matching row in B - ixA - the row indexes into A which produced outA - outB - all the rows in B with no matching row in A - ixB - the row indexes into B which produced outB -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002ecartesian.html b/docs/devel/user-guide/html/table_002ecartesian.html deleted file mode 100644 index 8a90efa2..00000000 --- a/docs/devel/user-guide/html/table_002ecartesian.html +++ /dev/null @@ -1,88 +0,0 @@ - - - - - - -table.cartesian (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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8.2.54.3 table.cartesian

- -
-
Method: [out, ixs] = cartesian (A, B)
-
-

Cartesian product of two tables. -

-

Computes the Cartesian product of two tables. The Cartesian product is -each row in A combined with each row in B. -

-

Due to the definition and structural constraints of table, the two inputs -must have no variable names in common. It is an error if they do. -

-

The Cartesian product is seldom used in practice. If you find yourself -calling this method, you should step back and re-evaluate what you are -doing, asking yourself if that is really what you want to happen. If nothing -else, writing a function that calls cartesian() is usually much less -efficient than alternate ways of arriving at the same result. -

-

This implementation does not remove duplicate values. -TODO: Determine whether this duplicate-removing behavior is correct. -

-

The ordering of the rows in the output is not specified, and may be implementation- -dependent. TODO: Determine if we can lock this behavior down to a fixed, -defined ordering, without killing performance. -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002econvertvars.html b/docs/devel/user-guide/html/table_002econvertvars.html deleted file mode 100644 index b6a7885b..00000000 --- a/docs/devel/user-guide/html/table_002econvertvars.html +++ /dev/null @@ -1,81 +0,0 @@ - - - - - - -table.convertvars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.4 table.convertvars

- -
-
Method: out = convertvars (obj, vars, dataType)
-
-

Convert variables to specified data type. -

-

Converts the variables in obj specified by vars to the specified data type. -

-

vars is a cellstr or numeric vector specifying which variables to convert. -

-

dataType specifies the data type to convert those variables to. It is either -a char holding the name of the data type, or a function handle which will -perform the conversion. If it is the name of the data type, there must -either be a one-arg constructor of that type which accepts the specified -variables’ current types as input, or a conversion method of that name -defined on the specified variables’ current type. -

-

Returns a table with the same variable names as obj, but with converted -types. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002efindgroups.html b/docs/devel/user-guide/html/table_002efindgroups.html deleted file mode 100644 index 45603037..00000000 --- a/docs/devel/user-guide/html/table_002efindgroups.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -table.findgroups (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.5 table.findgroups

- -
-
Method: [G, TID] = findgroups (obj)
-
-

Find groups within a table’s row values. -

-

Finds groups within a table’s row values and get group numbers. A group -is a set of rows that have the same values in all their variable elements. -

-

Returns: - G - A double column vector of group numbers created from obj. - TID - A table containing the row values corresponding to the group numbers. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002egetvar.html b/docs/devel/user-guide/html/table_002egetvar.html deleted file mode 100644 index 96ac8f3f..00000000 --- a/docs/devel/user-guide/html/table_002egetvar.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -table.getvar (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.6 table.getvar

- -
-
Method: [out, name] = getvar (obj, varRef)
-
-

Get value and name for single table variable. -

-

varRef is a variable reference. It may be a name or an index. It -may only specify a single table variable. -

-

Returns: - out – the value of the referenced table variable - name – the name of the referenced table variable -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002egetvars.html b/docs/devel/user-guide/html/table_002egetvars.html deleted file mode 100644 index 6815ff84..00000000 --- a/docs/devel/user-guide/html/table_002egetvars.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -table.getvars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.54.7 table.getvars

- -
-
Method: [out1, …] = getvars (obj, varRef)
-
-

Get values for one ore more table variables. -

-

varRef is a variable reference in the form of variable names or -indexes. -

-

Returns as many outputs as varRef referenced variables. Each output -contains the contents of the corresponding table variable. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002egroupby.html b/docs/devel/user-guide/html/table_002egroupby.html deleted file mode 100644 index 53abce56..00000000 --- a/docs/devel/user-guide/html/table_002egroupby.html +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - -table.groupby (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.54.8 table.groupby

- -
-
Method: [out] = groupby (obj, groupvars, aggcalcs)
-
-

Find groups in table data and apply functions to variables within groups. -

-

This works like an SQL "SELECT ... GROUP BY ..." statement. -

-

groupvars (cellstr, numeric) is a list of the grouping variables, -identified by name or index. -

-

aggcalcs is a specification of the aggregate calculations to perform -on them, in the form {out_var, fcn, in_vars; ...}, where: - out_var (char) is the name of the output variable - fcn (function handle) is the function to apply to produce it - in_vars (cellstr) is a list of the input variables to pass to fcn -

-

Returns a table. -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eheight.html b/docs/devel/user-guide/html/table_002eheight.html deleted file mode 100644 index a09c1e65..00000000 --- a/docs/devel/user-guide/html/table_002eheight.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -table.height (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.54.9 table.height

- -
-
Method: out = height (obj)
-
-

Number of rows in table. -

-

For a zero-variable table, this currently always returns 0. This is a bug, -and will change in the future. It should be possible for zero-variable table -arrays to have any number of rows. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002ehorzcat.html b/docs/devel/user-guide/html/table_002ehorzcat.html deleted file mode 100644 index a9651975..00000000 --- a/docs/devel/user-guide/html/table_002ehorzcat.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -table.horzcat (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.54.10 table.horzcat

- -
-
Method: out = horzcat (varargin)
-
-

Horizontal concatenation. -

-

Combines tables by horizontally concatenating them. -Inputs that are not tables are automatically converted to tables by calling -table() on them. Inputs must have all distinct variable names. -

-

Output has the same RowNames as varargin{1}. The variable names and values -are the result of the concatenation of the variable names and values lists -from the inputs. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002einnerjoin.html b/docs/devel/user-guide/html/table_002einnerjoin.html deleted file mode 100644 index 5d8b73fe..00000000 --- a/docs/devel/user-guide/html/table_002einnerjoin.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -table.innerjoin (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.11 table.innerjoin

- -
-
Method: [out, ixa, ixb] = innerjoin (A, B)
-
Method: […] = innerjoin (A, B, …)
-
-

Combine two tables by rows using key variables. -

-

Computes the relational inner join between two tables. “Inner” means that -only rows which had matching rows in the other input are kept in the -output. -

-

TODO: Document options. -

-

Returns: - out - A table that is the result of joining A and B - ix - Indexes into A for each row in out - ixb - Indexes into B for each row in out -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eintersect.html b/docs/devel/user-guide/html/table_002eintersect.html deleted file mode 100644 index 79502db1..00000000 --- a/docs/devel/user-guide/html/table_002eintersect.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -table.intersect (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-
-

8.2.54.12 table.intersect

- -
-
Method: [C, ia, ib] = intersect (A, B)
-
-

Set intersection. -

-

Computes the intersection of two tables. The intersection is defined to be the unique -row values which are present in both of the two input tables. -

-

Returns: - C - A table containing all the unique row values present in both A and B. - ia - Row indexes into A of the rows from A included in C. - ib - Row indexes into B of the rows from B included in C. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eisempty.html b/docs/devel/user-guide/html/table_002eisempty.html deleted file mode 100644 index ef68ae9a..00000000 --- a/docs/devel/user-guide/html/table_002eisempty.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -table.isempty (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.13 table.isempty

- -
-
Method: out = isempty (obj)
-
-

Test whether array is empty. -

-

For tables, isempty is true if the number of rows is 0 or the number -of variables is 0. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eismember.html b/docs/devel/user-guide/html/table_002eismember.html deleted file mode 100644 index 55077935..00000000 --- a/docs/devel/user-guide/html/table_002eismember.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -table.ismember (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.14 table.ismember

- -
-
Method: [tf, loc] = ismember (A, B)
-
-

Set membership. -

-

Finds rows in A that are members of B. -

-

Returns: - tf - A logical vector indicating whether each A(i,:) was present in B. - loc - Indexes into B of rows that were found. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eismissing.html b/docs/devel/user-guide/html/table_002eismissing.html deleted file mode 100644 index bae3e028..00000000 --- a/docs/devel/user-guide/html/table_002eismissing.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -table.ismissing (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.15 table.ismissing

- -
-
Method: out = ismissing (obj)
-
Method: out = ismissing (obj, indicator)
-
-

Find missing values. -

-

Finds missing values in obj’s variables. -

-

If indicator is not supplied, uses the standard missing values for each -variable’s data type. If indicator is supplied, the same indicator list is -applied across all variables. -

-

All variables in this must be vectors. (This is due to the requirement -that size(out) == size(obj).) -

-

Returns a logical array the same size as obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eistable.html b/docs/devel/user-guide/html/table_002eistable.html deleted file mode 100644 index 2b4caaa6..00000000 --- a/docs/devel/user-guide/html/table_002eistable.html +++ /dev/null @@ -1,67 +0,0 @@ - - - - - - -table.istable (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.54.16 table.istable

- -
-
Method: tf = istable (obj)
-
-

True if input is a table. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002ejoin.html b/docs/devel/user-guide/html/table_002ejoin.html deleted file mode 100644 index 58f78b66..00000000 --- a/docs/devel/user-guide/html/table_002ejoin.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -table.join (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.17 table.join

- -
-
Method: [C, ib] = join (A, B)
-
Method: [C, ib] = join (A, B, …)
-
-

Combine two tables by rows using key variables, in a restricted form. -

-

This is not a "real" relational join operation. It has the restrictions -that: - 1) The key values in B must be unique. - 2) Every key value in A must map to a key value in B. -These are restrictions inherited from the Matlab definition of table.join. -

-

You probably don’t want to use this method. You probably want to use -innerjoin or outerjoin instead. -

-

See also: table.innerjoin, table.outerjoin -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002emergevars.html b/docs/devel/user-guide/html/table_002emergevars.html deleted file mode 100644 index 8fc86caf..00000000 --- a/docs/devel/user-guide/html/table_002emergevars.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -table.mergevars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
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8.2.54.18 table.mergevars

- -
-
Method: out = mergevars (obj, vars)
-
Method: out = mergevars (…, 'NewVariableName', NewVariableName)
-
Method: out = mergevars (…, 'MergeAsTable', MergeAsTable)
-
-

Merge table variables into a single variable. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002emovevars.html b/docs/devel/user-guide/html/table_002emovevars.html deleted file mode 100644 index 0f02cea1..00000000 --- a/docs/devel/user-guide/html/table_002emovevars.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -table.movevars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.19 table.movevars

- -
-
Method: out = movevars (obj, vars, relLocation, location)
-
-

Move around variables in a table. -

-

vars is a list of variables to move, specified by name or index. -

-

relLocation is 'Before' or 'After'. -

-

location indicates a single variable to use as the target location, -specified by name or index. If it is specified by index, it is the index -into the list of *unmoved* variables from obj, not the original full -list of variables in obj. -

-

Returns a table with the same variables as obj, but in a different order. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002endims.html b/docs/devel/user-guide/html/table_002endims.html deleted file mode 100644 index bd4c41f7..00000000 --- a/docs/devel/user-guide/html/table_002endims.html +++ /dev/null @@ -1,70 +0,0 @@ - - - - - - -table.ndims (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
-

8.2.54.20 table.ndims

- -
-
Method: out = ndims (obj)
-
-

Number of dimensions -

-

For tables, ndims(obj) is always 2, because table arrays are always -2-D (rows-by-columns). -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002enumel.html b/docs/devel/user-guide/html/table_002enumel.html deleted file mode 100644 index 05bd22b9..00000000 --- a/docs/devel/user-guide/html/table_002enumel.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -table.numel (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.54.21 table.numel

- -
-
Method: out = numel (obj)
-
-

Total number of elements in table (actually 1). -

-

For compatibility reasons with Octave’s OOP interface and subsasgn behavior, -table’s numel is defined to always return 1. It is not useful for client -code to query a table’s size using numel. This is an incompatibility with -Matlab. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eouterfillvals.html b/docs/devel/user-guide/html/table_002eouterfillvals.html deleted file mode 100644 index 4936f314..00000000 --- a/docs/devel/user-guide/html/table_002eouterfillvals.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -table.outerfillvals (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.54.22 table.outerfillvals

- -
-
Method: out = outerfillvals (obj)
-
-

Get fill values for outer join. -

-

Returns a table with the same variables as this, but containing only -a single row whose variable values are the values to use as fill values -when doing an outer join. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eouterjoin.html b/docs/devel/user-guide/html/table_002eouterjoin.html deleted file mode 100644 index 1ef064d9..00000000 --- a/docs/devel/user-guide/html/table_002eouterjoin.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -table.outerjoin (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.23 table.outerjoin

- -
-
Method: [out, ixa, ixb] = outerjoin (A, B)
-
Method: […] = outerjoin (A, B, …)
-
-

Combine two tables by rows using key variables, retaining unmatched rows. -

-

Computes the relational outer join of tables A and B. This is like a -regular join, but also includes rows in each input which did not have -matching rows in the other input; the columns from the missing side are -filled in with placeholder values. -

-

TODO: Document options. -

-

Returns: - out - A table that is the result of the outer join of A and B - ixa - indexes into A for each row in out - ixb - indexes into B for each row in out -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eprettyprint.html b/docs/devel/user-guide/html/table_002eprettyprint.html deleted file mode 100644 index aa24659b..00000000 --- a/docs/devel/user-guide/html/table_002eprettyprint.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -table.prettyprint (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.24 table.prettyprint

- -
-
Method: prettyprint (obj)
-
-

Display table’s values in tabular format. This prints the contents -of the table in human-readable, tabular form. -

-

Variables which contain objects are displayed using the strings -returned by their dispstrs method, if they define one. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002erealjoin.html b/docs/devel/user-guide/html/table_002erealjoin.html deleted file mode 100644 index 4f713ca4..00000000 --- a/docs/devel/user-guide/html/table_002erealjoin.html +++ /dev/null @@ -1,85 +0,0 @@ - - - - - - -table.realjoin (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.25 table.realjoin

- -
-
Method: [out, ixs] = realjoin (A, B)
-
Method: […] = realjoin (A, B, …)
-
-

"Real" relational inner join, without key restrictions -

-

Performs a "real" relational natural inner join between two tables, -without the key restrictions that JOIN imposes. -

-

Currently does not support tables which have RowNames. This may be -added in the future. -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-

Name/value option arguments are: Keys, LeftKeys, RightKeys, -LeftVariables, RightVariables. -

-

FIXME: Document those options. -

-

Returns: - out - A table that is the result of joining A and B - ixs - Indexes into A for each row in out -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eremovevars.html b/docs/devel/user-guide/html/table_002eremovevars.html deleted file mode 100644 index 88cbaaf7..00000000 --- a/docs/devel/user-guide/html/table_002eremovevars.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -table.removevars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.26 table.removevars

- -
-
Method: out = removevars (obj, vars)
-
-

Remove variables from table. -

-

Deletes the variables specified by vars from obj. -

-

vars may be a char, cellstr, numeric index vector, or logical -index vector. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002erenamevars.html b/docs/devel/user-guide/html/table_002erenamevars.html deleted file mode 100644 index 28e4aa3c..00000000 --- a/docs/devel/user-guide/html/table_002erenamevars.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -table.renamevars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.27 table.renamevars

- -
-
Method: out = renamevars (obj, renameMap)
-
-

Rename variables in a table. -

-

Renames selected variables in the table obj based on the mapping -provided in renameMap. -

-

renameMap is an n-by-2 cellstr array, with the old variable names -in the first column, and the corresponding new variable names in the -second column. -

-

Variables which are not included in renameMap are not modified. -

-

It is an error if any variables named in the first column of renameMap -are not present in obj. -

-

Renames -

- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002erepelem.html b/docs/devel/user-guide/html/table_002erepelem.html deleted file mode 100644 index d88a84cf..00000000 --- a/docs/devel/user-guide/html/table_002erepelem.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -table.repelem (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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-
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8.2.54.28 table.repelem

- -
-
Method: out = repelem (obj, R)
-
Method: out = repelem (obj, R_1, R_2)
-
-

Replicate elements of matrix. -

-

Replicates elements of this table matrix by applying repelem to each of -its variables. This -

-

Only two dimensions are supported for repelem on tables. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002erepmat.html b/docs/devel/user-guide/html/table_002erepmat.html deleted file mode 100644 index 677d4c4d..00000000 --- a/docs/devel/user-guide/html/table_002erepmat.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -table.repmat (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.29 table.repmat

- -
-
Method: out = repmat (obj, sz)
-
-

Replicate matrix. -

-

Repmats a table by repmatting each of its variables vertically. -

-

For tables, repmatting is only supported along dimension 1. That is, the -values of sz(2:end) must all be exactly 1. This behavior may change in the -future to support repmatting horizontally, with the added variable names being -automatically changed to maintain uniqueness of variable names within the -resulting table. -

-

Returns a new table with the same variable names and types as tbl, but -with a possibly different row count. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002erestrict.html b/docs/devel/user-guide/html/table_002erestrict.html deleted file mode 100644 index aaa3082f..00000000 --- a/docs/devel/user-guide/html/table_002erestrict.html +++ /dev/null @@ -1,94 +0,0 @@ - - - - - - -table.restrict (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
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8.2.54.30 table.restrict

- -
-
Method: out = restrict (obj, expr)
-
Method: out = restrict (obj, ix)
-
-

Subset rows using variable expression or index. -

-

Subsets a table row-wise, using either an index vector or an expression -involving obj’s variables. -

-

If the argument is a numeric or logical vector, it is interpreted as an -index into the rows of this. (Just as with ‘subsetrows (this, index)‘.) -

-

If the argument is a char, then it is evaulated as an M-code expression, -with all of this’ variables available as workspace variables, as with -tblish.evalWithTableVars. The output of expr must be a numeric or logical index -vector (This form is a shorthand for -out = subsetrows (this, tblish.evalWithTableVars (this, expr)).) -

-

TODO: Decide whether to name this to "where" to be more like SQL instead -of relational algebra. -

-

Examples: -

-
[s,p,sp] = tblish.examples.SpDb;
-prettyprint (restrict (p, 'Weight >= 14 & strcmp(Color, "Red")'))
-
- -

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-

See also: tblish.evalWithTableVars -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002erowfun.html b/docs/devel/user-guide/html/table_002erowfun.html deleted file mode 100644 index 4f2cb1ab..00000000 --- a/docs/devel/user-guide/html/table_002erowfun.html +++ /dev/null @@ -1,133 +0,0 @@ - - - - - - -table.rowfun (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.31 table.rowfun

- -
-
Method: out = varfun (func, obj)
-
Method: out = varfun (…, 'OptionName', OptionValue, …)
-
-

Apply function to rows in table and collect outputs. -

-

This applies the function func to the elements of each row of -obj’s variables, and collects the concatenated output(s) into the -variable(s) of a new table. -

-

func is a function handle. It should take as many inputs as there -are variables in obj. Or, it can take a single input, and you must -specify 'SeparateInputs', false to have the input variables -concatenated before being passed to func. It may return multiple -argouts, but to capture those past the first one, you must explicitly -specify the 'NumOutputs' or 'OutputVariableNames' options. -

-

Supported name/value options: -

-
'OutputVariableNames'
-

Names of table variables to store combined function output arguments in. -

-
'NumOutputs'
-

Number of output arguments to call function with. If omitted, defaults to -number of items in OutputVariableNames if it is supplied, otherwise -defaults to 1. -

-
'SeparateInputs'
-

If true, input variables are passed as separate input arguments to func. -If false, they are concatenated together into a row vector and passed as -a single argument. Defaults to true. -

-
'ErrorHandler'
-

A function to call as a fallback when calling func results in an error. -It is passed the caught exception, along with the original inputs passed -to func, and it has a “second chance” to compute replacement values -for that row. This is useful for converting raised errors to missing-value -fill values, or logging warnings. -

-
'ExtractCellContents'
-

Whether to “pop out” the contents of the elements of cell variables in -obj, or to leave them as cells. True/false; default is false. If -you specify this option, then obj may not have any multi-column -cell-valued variables. -

-
'InputVariables'
-

If specified, only these variables from obj are used as the function -inputs, instead of using all variables. -

-
'GroupingVariables'
-

Not yet implemented. -

-
'OutputFormat'
-

The format of the output. May be 'table' (the default), -'uniform', or 'cell'. If it is 'uniform' or 'cell', -the output variables are returned in multiple output arguments from -'rowfun'. -

-
- -

Returns a table whose variables are the collected output arguments -of func if OutputFormat is 'table'. Otherwise, returns -multiple output arguments of whatever type func returned (if -OutputFormat is 'uniform') or cells (if OutputFormat -is 'cell'). -

-
- -
-
-
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-Next: table.rows2vars, Previous: table.restrict, Up: table   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/table_002erows2vars.html b/docs/devel/user-guide/html/table_002erows2vars.html deleted file mode 100644 index 8c26d38b..00000000 --- a/docs/devel/user-guide/html/table_002erows2vars.html +++ /dev/null @@ -1,83 +0,0 @@ - - - - - - -table.rows2vars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.54.32 table.rows2vars

- -
-
Method: out = rows2vars (obj)
-
Method: out = rows2vars (obj, 'VariableNamesSource', VariableNamesSource)
-
Method: out = rows2vars (…, 'DataVariables', DataVariables)
-
-

Reorient table, swapping rows and variables dimensions. -

-

This flips the dimensions of the given table obj, swapping the -orientation of the contained data, and swapping the row names/labels -and variable names. -

-

The variable names become a new variable named “OriginalVariableNames”. -

-

The row names are drawn from the column VariableNamesSource if it -is specified. Otherwise, if obj has row names, they are used. -Otherwise, new variable names in the form “VarN” are generated. -

-

If all the variables in obj are of the same type, they are concatenated -and then sliced to create the new variable values. Otherwise, they are -converted to cells, and the new table has cell variable values. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esemijoin.html b/docs/devel/user-guide/html/table_002esemijoin.html deleted file mode 100644 index 6a5a7088..00000000 --- a/docs/devel/user-guide/html/table_002esemijoin.html +++ /dev/null @@ -1,81 +0,0 @@ - - - - - - -table.semijoin (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.54.33 table.semijoin

- -
-
Method: [outA, ixA, outB, ixB] = semijoin (A, B)
-
-

Natural semijoin. -

-

Computes the natural semijoin of tables A and B. The semi-join of tables -A and B is the set of all rows in A which have matching rows in B, based -on comparing the values of variables with the same names. -

-

This method also computes the semijoin of B and A, for convenience. -

-

Returns: - outA - all the rows in A with matching row(s) in B - ixA - the row indexes into A which produced outA - outB - all the rows in B with matching row(s) in A - ixB - the row indexes into B which produced outB -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esetDimensionNames.html b/docs/devel/user-guide/html/table_002esetDimensionNames.html deleted file mode 100644 index 0f086de1..00000000 --- a/docs/devel/user-guide/html/table_002esetDimensionNames.html +++ /dev/null @@ -1,84 +0,0 @@ - - - - - - -table.setDimensionNames (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.35 table.setDimensionNames

- -
-
Method: out = setDimensionNames (obj, names)
-
Method: out = setDimensionNames (obj, ix, names)
-
-

Set dimension names. -

-

Sets the DimensionNames for this table to a new list of names. -

-

names is a char or cellstr vector. It must have the same number of elements -as the number of dimension names being assigned. -

-

ix is an index vector indicating which dimension names to set. If -omitted, it sets all two of them. Since there are always two dimension, -the indexes in ix may never be higher than 2. -

-

This method exists because the obj.Properties.DimensionNames = … -assignment form did not originally work, possibly due to an Octave bug, or more -likely due to a bug in Tablicious prior to the early 0.4.x versions. That was -fixed around 0.4.4. This method may be deprecated and removed at some point, since -it is not part of the standard Matlab table interface, and is now redundant with -the obj.Properties.DimensionNames = … assignment form. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esetRowNames.html b/docs/devel/user-guide/html/table_002esetRowNames.html deleted file mode 100644 index bd6551a0..00000000 --- a/docs/devel/user-guide/html/table_002esetRowNames.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -table.setRowNames (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
-

8.2.54.36 table.setRowNames

- -
-
Method: out = setRowNames (obj, names)
-
-

Set row names. -

-

Sets the row names on obj to names. -

-

names is a cellstr column vector, with the same number of rows as -obj has. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esetVariableNames.html b/docs/devel/user-guide/html/table_002esetVariableNames.html deleted file mode 100644 index 96cba9cb..00000000 --- a/docs/devel/user-guide/html/table_002esetVariableNames.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -table.setVariableNames (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.38 table.setVariableNames

- -
-
Method: out = setVariableNames (obj, names)
-
Method: out = setVariableNames (obj, ix, names)
-
-

Set variable names. -

-

Sets the VariableNames for this table to a new list of names. -

-

names is a char or cellstr vector. It must have the same number of elements -as the number of variable names being assigned. -

-

ix is an index vector indicating which variable names to set. If -omitted, it sets all of them present in obj. -

-

This method exists because the obj.Properties.VariableNames = … -assignment form does not work, possibly due to an Octave bug. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esetdiff.html b/docs/devel/user-guide/html/table_002esetdiff.html deleted file mode 100644 index 8ef96476..00000000 --- a/docs/devel/user-guide/html/table_002esetdiff.html +++ /dev/null @@ -1,74 +0,0 @@ - - - - - - -table.setdiff (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.34 table.setdiff

- -
-
Method: [C, ia] = setdiff (A, B)
-
-

Set difference. -

-

Computes the set difference of two tables. The set difference is defined to be -the unique row values which are present in table A that are not in table B. -

-

Returns: - C - A table containing the unique row values in A that were not in B. - ia - Row indexes into A of the rows from A included in C. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esetvar.html b/docs/devel/user-guide/html/table_002esetvar.html deleted file mode 100644 index 3dc6fccd..00000000 --- a/docs/devel/user-guide/html/table_002esetvar.html +++ /dev/null @@ -1,81 +0,0 @@ - - - - - - -table.setvar (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.37 table.setvar

- -
-
Method: out = setvar (obj, varRef, value)
-
-

Set value for a variable in table. -

-

This sets (adds or replaces) the value for a variable in obj. It -may be used to change the value of an existing variable, or add a new -variable. -

-

This method exists primarily because I cannot get obj.foo = value to work, -apparently due to an issue with Octave’s subsasgn support. -

-

varRef is a variable reference, either the index or name of a variable. -If you are adding a new variable, it must be a name, and not an index. -

-

value is the value to set the variable to. If it is scalar or -a single string as charvec, it is scalar-expanded to match the number -of rows in obj. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esetxor.html b/docs/devel/user-guide/html/table_002esetxor.html deleted file mode 100644 index eb2da144..00000000 --- a/docs/devel/user-guide/html/table_002esetxor.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -table.setxor (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.39 table.setxor

- -
-
Method: [C, ia, ib] = setxor (A, B)
-
-

Set exclusive OR. -

-

Computes the setwise exclusive OR of two tables. The set XOR is defined to be -the unique row values which are present in one or the other of the two input -tables, but not in both. -

-

Returns: - C - A table containing all the unique row values in the set XOR of A and B. - ia - Row indexes into A of the rows from A included in C. - ib - Row indexes into B of the rows from B included in C. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esize.html b/docs/devel/user-guide/html/table_002esize.html deleted file mode 100644 index e0488916..00000000 --- a/docs/devel/user-guide/html/table_002esize.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -table.size (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.40 table.size

- -
-
Method: sz = size (obj)
-
Method: [nr, nv] = size (obj)
-
Method: [nr, nv, …] = size (obj)
-
-

Gets the size of a table. -

-

For tables, the size is [number-of-rows x number-of-variables]. -This is the same as [height(obj), width(obj)]. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esplitapply.html b/docs/devel/user-guide/html/table_002esplitapply.html deleted file mode 100644 index 28b8b926..00000000 --- a/docs/devel/user-guide/html/table_002esplitapply.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -table.splitapply (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.41 table.splitapply

- -
-
Method: out = splitapply (func, obj, G)
-
Method: [Y1, …, YM] = splitapply (func, obj, G)
-
-

Split table data into groups and apply function. -

-

Performs a splitapply, using the variables in obj as the input X variables -to the splitapply function call. -

-

See also: splitapply, table.groupby, tblish.table.grpstats -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esplitvars.html b/docs/devel/user-guide/html/table_002esplitvars.html deleted file mode 100644 index c59b2273..00000000 --- a/docs/devel/user-guide/html/table_002esplitvars.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -table.splitvars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.42 table.splitvars

- -
-
Method: out = splitvars (obj)
-
Method: out = splitvars (obj, vars)
-
Method: out = splitvars (…, 'NewVariableNames', NewVariableNames)
-
-

Split multicolumn table variables. -

-

Splits multicolumn table variables into new single-column variables. -If vars is supplied, splits only those variables. If vars -is not supplied, splits all multicolumn variables. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esqueeze.html b/docs/devel/user-guide/html/table_002esqueeze.html deleted file mode 100644 index 31b15ad1..00000000 --- a/docs/devel/user-guide/html/table_002esqueeze.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -table.squeeze (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.43 table.squeeze

- -
-
Method: obj = squeeze (obj)
-
-

Remove singleton dimensions. -

-

For tables, this is always a no-op that returns the input unmodified, -because tables always have exactly 2 dimensions, and 2-D arrays are unaffected -by squeeze. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002estack.html b/docs/devel/user-guide/html/table_002estack.html deleted file mode 100644 index 658d0866..00000000 --- a/docs/devel/user-guide/html/table_002estack.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -table.stack (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.44 table.stack

- -
-
Method: out = stack (obj, vars)
-
Method: out = stack (…, 'NewDataVariableName', NewDataVariableName)
-
Method: out = stack (…, 'IndexVariableName', IndexVariableName)
-
-

Stack multiple table variables into a single variable. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002esummary.html b/docs/devel/user-guide/html/table_002esummary.html deleted file mode 100644 index be0fdbc1..00000000 --- a/docs/devel/user-guide/html/table_002esummary.html +++ /dev/null @@ -1,79 +0,0 @@ - - - - - - -table.summary (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.45 table.summary

- -
-
Method: summary (obj)
-
-

Display a summary of a table’s data. -

-

Displays a summary of data in the input table. This will contain some -statistical information on each of its variables. The output is printed -to the Octave console (command window, stdout, or the like in your current -session), in a format suited for human consumption. The output format is -not fixed or formally defined, and may change over time. It is only -suitable for human display, and not for parsing or programmatic use. -

-

This method supports, to some degree, extension by other packages. If your -Octave session has loaded other packages which supply extension implementaions -of ‘summary‘, Tablicious will use those in preference to its own internal -implementation, and you will get different, and hopefully better, output. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002etable.html b/docs/devel/user-guide/html/table_002etable.html deleted file mode 100644 index 0e330e6a..00000000 --- a/docs/devel/user-guide/html/table_002etable.html +++ /dev/null @@ -1,98 +0,0 @@ - - - - - - -table.table (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.46 table.table

- -
-
Constructor: obj = table ()
-
-

Constructs a new empty (0 rows by 0 variables) table. -

-
- -
-
Constructor: obj = table (var1, var2, …, varN)
-
-

Constructs a new table from the given variables. The variables passed as -inputs to this constructor become the variables of the table. Their names -are automatically detected from the input variable names that you used. -

-

Note: If you call the constructor with exactly three arguments, and the first -argument is exactly the value ’__tblish_backdoor__’, that will trigger a special internal-use -backdoor calling form, and you will get incorrect results. This is a bug in -Tablicious. -

-
- -
-
Constructor: obj = table ('Size', sz, 'VariableTypes', varTypes)
-
-

Constructs a new table of the given size, and with the given variable types. -The variables will contain the default value for elements of that type. -

-
- -
-
Constructor: obj = table (…, 'VariableNames', varNames)
-
Constructor: obj = table (…, 'RowNames', rowNames)
-
-

Specifies the variable names or row names to use in the constructed table. -Overrides the implicit names garnered from the input variable names. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002etable2array.html b/docs/devel/user-guide/html/table_002etable2array.html deleted file mode 100644 index 0d078493..00000000 --- a/docs/devel/user-guide/html/table_002etable2array.html +++ /dev/null @@ -1,67 +0,0 @@ - - - - - - -table.table2array (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.47 table.table2array

- -
-
Method: s = table2struct (obj)
-
-

Converts obj to a homogeneous array. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002etable2cell.html b/docs/devel/user-guide/html/table_002etable2cell.html deleted file mode 100644 index acf4e902..00000000 --- a/docs/devel/user-guide/html/table_002etable2cell.html +++ /dev/null @@ -1,72 +0,0 @@ - - - - - - -table.table2cell (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.48 table.table2cell

- -
-
Method: c = table2cell (obj)
-
-

Converts table to a cell array. Each variable in obj becomes -one or more columns in the output, depending on how many columns -that variable has. -

-

Returns a cell array with the same number of rows as obj, and -with as many or more columns as obj has variables. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002etable2struct.html b/docs/devel/user-guide/html/table_002etable2struct.html deleted file mode 100644 index 1f565109..00000000 --- a/docs/devel/user-guide/html/table_002etable2struct.html +++ /dev/null @@ -1,76 +0,0 @@ - - - - - - -table.table2struct (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.49 table.table2struct

- -
-
Method: s = table2struct (obj)
-
Method: s = table2struct (…, 'ToScalar', trueOrFalse)
-
-

Converts obj to a scalar structure or structure array. -

-

Row names are not included in the output struct. To include them, you -must add them manually: - s = table2struct (tbl, ’ToScalar’, true); - s.RowNames = tbl.Properties.RowNames; -

-

Returns a scalar struct or struct array, depending on the value of the -ToScalar option. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002eunion.html b/docs/devel/user-guide/html/table_002eunion.html deleted file mode 100644 index 94d0f7c9..00000000 --- a/docs/devel/user-guide/html/table_002eunion.html +++ /dev/null @@ -1,75 +0,0 @@ - - - - - - -table.union (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.50 table.union

- -
-
Method: [C, ia, ib] = union (A, B)
-
-

Set union. -

-

Computes the union of two tables. The union is defined to be the unique -row values which are present in either of the two input tables. -

-

Returns: - C - A table containing all the unique row values present in A or B. - ia - Row indexes into A of the rows from A included in C. - ib - Row indexes into B of the rows from B included in C. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002evarfun.html b/docs/devel/user-guide/html/table_002evarfun.html deleted file mode 100644 index 9134b2a3..00000000 --- a/docs/devel/user-guide/html/table_002evarfun.html +++ /dev/null @@ -1,73 +0,0 @@ - - - - - - -table.varfun (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.54.51 table.varfun

- -
-
Method: out = varfun (fcn, obj)
-
Method: out = varfun (…, 'OutputFormat', outputFormat)
-
Method: out = varfun (…, 'InputVariables', vars)
-
Method: out = varfun (…, 'ErrorHandler', errorFcn)
-
-

Apply function to table variables. -

-

Applies the given function fcn to each variable in obj, -collecting the output in a table, cell array, or array of another type. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002evarnames.html b/docs/devel/user-guide/html/table_002evarnames.html deleted file mode 100644 index 08f54bf1..00000000 --- a/docs/devel/user-guide/html/table_002evarnames.html +++ /dev/null @@ -1,71 +0,0 @@ - - - - - - -table.varnames (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.54.52 table.varnames

- -
-
Method: out = varnames (obj)
-
Method: out = varnames (obj, varNames)
-
-

Get or set variable names for a table. -

-

Returns cellstr in the getter form. Returns an updated datetime in the -setter form. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002evertcat.html b/docs/devel/user-guide/html/table_002evertcat.html deleted file mode 100644 index f9631f65..00000000 --- a/docs/devel/user-guide/html/table_002evertcat.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -table.vertcat (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: table   [Contents]

-
-
-

8.2.54.53 table.vertcat

- -
-
Method: out = vertcat (varargin)
-
-

Vertical concatenation. -

-

Combines tables by vertically concatenating them. -

-

Inputs that are not tables are automatically converted to tables by calling -table() on them. -

-

The inputs must have the same number and names of variables, and their -variable value types and sizes must be cat-compatible. The types of the resulting -variables are the types that result from doing a ‘vertcat()‘ on the variables -from the corresponding input tables, in the order they were input in. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/table_002ewidth.html b/docs/devel/user-guide/html/table_002ewidth.html deleted file mode 100644 index 2a455608..00000000 --- a/docs/devel/user-guide/html/table_002ewidth.html +++ /dev/null @@ -1,69 +0,0 @@ - - - - - - -table.width (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Previous: , Up: table   [Contents]

-
-
-

8.2.54.54 table.width

- -
-
Method: out = width (obj)
-
-

Number of variables in table. -

-

Note that this is not the sum of the number of columns in each variable. -It is just the number of variables. -

-
- -
- - - - - diff --git a/docs/devel/user-guide/html/tail.html b/docs/devel/user-guide/html/tail.html deleted file mode 100644 index 8cf7aaf0..00000000 --- a/docs/devel/user-guide/html/tail.html +++ /dev/null @@ -1,84 +0,0 @@ - - - - - - -tail (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.56 tail

-
-
Function: out = tail (A)
-
Function: out = tail (A, k)
-
-

Get last K rows of an array. -

-

Returns the array A, subsetted to its last k rows. This means -subsetting it to the last (min (k, size (A, 1))) elements along -dimension 1, and leaving all other dimensions unrestricted. -

-

A is the array to subset. -

-

k is the number of rows to get. k defaults to 8 if it is omitted -or empty. -

-

If there are less than k rows in A, returns all rows. -

-

Returns an array of the same type as A, unless ()-indexing A -produces an array of a different type, in which case it returns that type. -

-

See also: head -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset.html b/docs/devel/user-guide/html/tblish_002edataset.html deleted file mode 100644 index 944a938b..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset.html +++ /dev/null @@ -1,160 +0,0 @@ - - - - - - -tblish.dataset (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.57 tblish.dataset

-
-
Class: tblish.dataset
-
-

The tblish.dataset class provides convenient access to the various -datasets included with Tablicious. -

-

This class just contains a bunch of static methods, each of which loads -the dataset of that name. It is provided as a convenience so you can use tab -completion or other run-time introspection on the dataset list. -

-
- - - -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eAirPassengers.html b/docs/devel/user-guide/html/tblish_002edataset_002eAirPassengers.html deleted file mode 100644 index c445cae8..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eAirPassengers.html +++ /dev/null @@ -1,87 +0,0 @@ - - - - - - -tblish.dataset.AirPassengers (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.2 tblish.dataset.AirPassengers

- -
-
Static Method: out = AirPassengers ()
-
-

Monthly Airline Passenger Numbers 1949-1960 -

-

Description

- -

The classic Box & Jenkins airline data. Monthly totals of international -airline passengers, 1949 to 1960. -

-

Source

- -

Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1976). Time Series -Analysis, Forecasting and Control. Third Edition. San Francisco: Holden-Day. -Series G. -

-

Examples

- -
-
## TODO: This example needs to be ported from R.
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eBJsales.html b/docs/devel/user-guide/html/tblish_002edataset_002eBJsales.html deleted file mode 100644 index 69576868..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eBJsales.html +++ /dev/null @@ -1,107 +0,0 @@ - - - - - - -tblish.dataset.BJsales (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.9 tblish.dataset.BJsales

- -
-
Static Method: out = BJsales ()
-
-

Sales Data with Leading Indicator -

-

Description

- -

Sales Data with Leading Indicator -

-

Format

- -
-
record
-

Index of the record. -

-
lead
-

Leading indicator. -

-
sales
-

Sales volume. -

-
- -

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Box, G. E. P. and Jenkins, G. M. (1976). Time Series Analysis, Forecasting and -Control. San Francisco: Holden-Day. p. 537. -

-

Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods, -Second edition. New York: Springer-Verlag. p. 414. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eBOD.html b/docs/devel/user-guide/html/tblish_002edataset_002eBOD.html deleted file mode 100644 index 9a4dab3d..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eBOD.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.BOD (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.10 tblish.dataset.BOD

- -
-
Static Method: out = BOD ()
-
-

Biochemical Oxygen Demand -

-

Description

- -

Contains biochemical oxygen demand versus time in an evaluation of water quality. -

-

Format

- -
-
Time
-

Time of the measurement (in days). -

-
demand
-

Biochemical oxygen demand (mg/l). -

-
- -

Source

- -

Bates, D.M. and Watts, D.G. (1988). Nonlinear Regression Analysis and Its -Applications. New York: John Wiley & Sons. Appendix A1.4. -

-

Originally from: Marske (1967). Biochemical Oxygen Demand Data -Interpretation Using Sum of Squares Surface, M.Sc. Thesis, University of -Wisconsin – Madison. -

-

Examples

- -
-
# TODO: Port this example from R
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eChickWeight.html b/docs/devel/user-guide/html/tblish_002edataset_002eChickWeight.html deleted file mode 100644 index 4cec4ae9..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eChickWeight.html +++ /dev/null @@ -1,111 +0,0 @@ - - - - - - -tblish.dataset.ChickWeight (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.12 tblish.dataset.ChickWeight

- -
-
Static Method: out = ChickWeight ()
-
-

Weight versus age of chicks on different diets -

-

Format

- -
-
weight
-

a numeric vector giving the body weight of the chick (gm). -

-
Time
-

a numeric vector giving the number of days since birth when the -measurement was made. -

-
Chick
-

an ordered factor with levels 18 < ... < 48 giving a unique -identifier for the chick. The ordering of the levels groups chicks on the same -diet together and orders them according to their final weight (lightest to -heaviest) within diet. -

-
Diet
-

a factor with levels 1, ..., 4 indicating which experimental diet -the chick received. -

-
- -

Source

- -

Crowder, M. and Hand, D. (1990). Analysis of Repeated Measures. London: Chapman and -Hall. (example 5.3) -

-

Hand, D. and Crowder, M. (1996), Practical Longitudinal Data Analysis. London: Chapman -and Hall. (table A.2) -

-

Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-PLUS. -New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.ChickWeight
-
-tblish.examples.coplot (t, "Time", "weight", "Chick");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eDNase.html b/docs/devel/user-guide/html/tblish_002edataset_002eDNase.html deleted file mode 100644 index 4e8a4e61..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eDNase.html +++ /dev/null @@ -1,108 +0,0 @@ - - - - - - -tblish.dataset.DNase (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.18 tblish.dataset.DNase

- -
-
Static Method: out = DNase ()
-
-

Elisa assay of DNase -

-

Description

- -

Data obtained during development of an ELISA assay for the recombinant protein DNase in rat serum. -

-

Format

- -
-
Run
-

Ordered categorical indicating the assay run. -

-
conc
-

Known concentration of the protein (ng/ml). -

-
density
-

Measured optical density in the assay (dimensionless). -

-
- -

Source

- -

Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated -Measurement Data. London: Chapman & Hall. (section 5.2.4, p. 134) -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.DNase;
-
-# TODO: Port this from R
-
-tblish.examples.coplot (t, "conc", "density", "Run", "PlotFcn", @scatter);
-tblish.examples.coplot (t, "conc", "density", "Run", "PlotFcn", @loglog, ...
-  "PlotArgs", {"o"});
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eEuStockMarkets.html b/docs/devel/user-guide/html/tblish_002edataset_002eEuStockMarkets.html deleted file mode 100644 index 59b0b9f1..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eEuStockMarkets.html +++ /dev/null @@ -1,115 +0,0 @@ - - - - - - -tblish.dataset.EuStockMarkets (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.22 tblish.dataset.EuStockMarkets

- -
-
Static Method: out = EuStockMarkets ()
-
-

Daily Closing Prices of Major European Stock Indices -

-

Description

- -

Contains the daily closing prices of major European stock indices: Germany DAX -(Ibis), Switzerland SMI, France CAC, and UK FTSE. The data are sampled in -business time, i.e., weekends and holidays are omitted. -

-

Format

- -

A multivariate time series with 1860 observations on 4 variables. -

-

The starting date is the 130th day of 1991, with a frequency of 260 observations -per year. -

-

Source

- -

The data were kindly provided by Erste Bank AG, Vienna, Austria. -

-

Examples

- -
-
-
-t = tblish.dataset.EuStockMarkets;
-
-# The fact that we're doing this munging means that table might have
-# been the wrong structure for this data in the first place
-
-t2 = removevars (t, "day");
-index_names = t2.Properties.VariableNames;
-day = 1:height (t2);
-price = table2array (t2);
-
-price0 = price(1,:);
-
-rel_price = price ./ repmat (price0, [size(price, 1) 1]);
-
-figure;
-plot (day, rel_price);
-legend (index_names);
-xlabel ("Business day");
-ylabel ("Relative price");
-
-
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eFormaldehyde.html b/docs/devel/user-guide/html/tblish_002edataset_002eFormaldehyde.html deleted file mode 100644 index 19c68908..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eFormaldehyde.html +++ /dev/null @@ -1,116 +0,0 @@ - - - - - - -tblish.dataset.Formaldehyde (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.24 tblish.dataset.Formaldehyde

- -
-
Static Method: out = Formaldehyde ()
-
-

Determination of Formaldehyde -

-

Description

- -

These data are from a chemical experiment to prepare a standard curve for the -determination of formaldehyde by the addition of chromatropic acid and -concentrated sulphuric acid and the reading of the resulting purple color on -a spectrophotometer. -

-

Format

- -
-
record
-

Observation record number. -

-
carb
-

Carbohydrate (ml). -

-
optden
-

Optical Density -

-
- -

Source

- -

Bennett, N. A. and N. L. Franklin (1954). Statistical Analysis in -Chemistry and the Chemical Industry. New York: Wiley. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.Formaldehyde;
-
-figure
-scatter (t.carb, t.optden)
-# TODO: Add a linear model line
-xlabel ("Carbohydrate (ml)")
-ylabel ("Optical Density")
-title ("Formaldehyde data")
-
-# TODO: Add linear model summary output
-# TOD: Add linear model summary plot
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eHairEyeColor.html b/docs/devel/user-guide/html/tblish_002edataset_002eHairEyeColor.html deleted file mode 100644 index 896c4c10..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eHairEyeColor.html +++ /dev/null @@ -1,144 +0,0 @@ - - - - - - -tblish.dataset.HairEyeColor (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.26 tblish.dataset.HairEyeColor

- -
-
Static Method: out = HairEyeColor ()
-
-

Hair and Eye Color of Statistics Students -

-

Description

- -

Distribution of hair and eye color and sex in 592 statistics students. -

-

Format

- -

This data set comes in multiple variables -

-
-
n
-

A 3-dimensional array containing the counts of students in each bucket. It -is arranged as hair-by-eye-by-sex. -

-
hair
-

Hair colors for the indexes along dimension 1. -

-
eye
-

Eye colors for the indexes along dimension 2. -

-
sex
-

Sexes for the indexes along dimension 3. -

-
- -

Details

- -

The Hair x Eye table comes rom a survey of students at the University of -Delaware reported by Snee (1974). The split by Sex was added by Friendly -(1992a) for didactic purposes. -

-

This data set is useful for illustrating various techniques for the analysis -of contingency tables, such as the standard chi-squared test or, more -generally, log-linear modelling, and graphical methods such as mosaic plots, -sieve diagrams or association plots. -

-

Source

- -

http://euclid.psych.yorku.ca/ftp/sas/vcd/catdata/haireye.sas -

-

Snee (1974) gives the two-way table aggregated over Sex. The Sex split of -the ‘Brown hair, Brown eye’ cell was changed to agree with that used by -Friendly (2000). -

-

References

- -

Snee, R. D. (1974). Graphical display of two-way contingency tables. -The American Statistician, 28, 9–12. -

-

Friendly, M. (1992a). Graphical methods for categorical data. SAS User -Group International Conference Proceedings, 17, 190–200. -http://www.math.yorku.ca/SCS/sugi/sugi17-paper.html -

-

Friendly, M. (1992b). Mosaic displays for loglinear models. Proceedings -of the Statistical Graphics Section, American Statistical Association, pp. -61–68. http://www.math.yorku.ca/SCS/Papers/asa92.html -

-

Friendly, M. (2000). Visualizing Categorical Data. SAS Institute, -ISBN 1-58025-660-0. -

-

Examples

- -
-
tblish.dataset.HairEyeColor
-
-# TODO: Aggregate over sex and display a table of counts
-
-# TODO: Port mosaic plot to Octave
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.Harman23cor, Previous: tblish.dataset.freeny, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eHarman23cor.html b/docs/devel/user-guide/html/tblish_002edataset_002eHarman23cor.html deleted file mode 100644 index 00672c2b..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eHarman23cor.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.Harman23cor (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.27 tblish.dataset.Harman23cor

- -
-
Static Method: out = Harman23cor ()
-
-

Harman Example 2.3 -

-

Description

- -

A correlation matrix of eight physical measurements on 305 girls between -ages seven and seventeen. -

-

Format

- -
-
cov
-

An 8-by-8 correlation matrix. -

-
names
-

Names of the variables corresponding to the indexes of the correlation matrix’s -dimensions. -

-
- -

Source

- -

Harman, H. H. (1976). Modern Factor Analysis, Third Edition Revised. -Chicago: University of Chicago Press. Table 2.3. -

-

Examples

- -
-
tblish.dataset.Harman23cor;
-
-# TODO: Port factanal to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eHarman74cor.html b/docs/devel/user-guide/html/tblish_002edataset_002eHarman74cor.html deleted file mode 100644 index 1cdb48c6..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eHarman74cor.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.Harman74cor (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.28 tblish.dataset.Harman74cor

- -
-
Static Method: out = Harman74cor ()
-
-

Harman Example 7.4 -

-

Description

- -

A correlation matrix of 24 psychological tests given to 145 seventh and -eighth-grade children in a Chicago suburb by Holzinger and Swineford. -

-

Format

- -
-
cov
-

A 2-dimensional correlation matrix. -

-
vars
-

Names of the variables corresponding to the indexes along the dimensions of -cov. -

-
- -

Source

- -

Harman, H. H. (1976). Modern Factor Analysis, Third Edition -Revised. Chicago: University of Chicago Press. Table 7.4. -

-

Examples

- -
-
tblish.dataset.Harman74cor;
-
-# TODO: Port factanal to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eIndometh.html b/docs/devel/user-guide/html/tblish_002edataset_002eIndometh.html deleted file mode 100644 index 0891a6f6..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eIndometh.html +++ /dev/null @@ -1,103 +0,0 @@ - - - - - - -tblish.dataset.Indometh (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.29 tblish.dataset.Indometh

- -
-
Static Method: out = Indometh ()
-
-

Pharmacokinetics of Indomethacin -

-

Description

- -

Data on the pharmacokinetics of indometacin (or, older spelling, -‘indomethacin’). -

-

Format

- -
-
Subject
-

Subject identifier. -

-
time
-

Time since drug administration at which samples were drawn (hours). -

-
conc
-

Plasma concentration of indomethacin (mcg/ml). -

-
- -

Details

- -

Each of the six subjects were given an intravenous injection of indometacin. -

-

Source

- -

Kwan, Breault, Umbenhauer, McMahon and Duggan (1976). Kinetics of -Indomethacin absorption, elimination, and enterohepatic circulation in man. -Journal of Pharmacokinetics and Biopharmaceutics 4, 255–280. -

-

Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated -Measurement Data. London: Chapman & Hall. (section 5.2.4, p. 129) -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

- -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eInsectSprays.html b/docs/devel/user-guide/html/tblish_002edataset_002eInsectSprays.html deleted file mode 100644 index f2bd595f..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eInsectSprays.html +++ /dev/null @@ -1,105 +0,0 @@ - - - - - - -tblish.dataset.InsectSprays (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.31 tblish.dataset.InsectSprays

- -
-
Static Method: out = InsectSprays ()
-
-

Effectiveness of Insect Sprays -

-

Description

- -

The counts of insects in agricultural experimental units treated with different -insecticides. -

-

Format

- -
-
spray
-

The type of spray. -

-
count
-

Insect count. -

-
- -

Source

- -

Beall, G., (1942). The Transformation of data from entomological field -experiments. Biometrika, 29, 243–262. -

-

References

- -

McNeil, D. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.InsectSprays;
-
-# TODO: boxplot
-
-# TODO: AOV plots
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eJohnsonJohnson.html b/docs/devel/user-guide/html/tblish_002edataset_002eJohnsonJohnson.html deleted file mode 100644 index b415e115..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eJohnsonJohnson.html +++ /dev/null @@ -1,98 +0,0 @@ - - - - - - -tblish.dataset.JohnsonJohnson (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.34 tblish.dataset.JohnsonJohnson

- -
-
Static Method: out = JohnsonJohnson ()
-
-

Quarterly Earnings per Johnson & Johnson Share -

-

Description

- -

Quarterly earnings (dollars) per Johnson & Johnson share 1960–80. -

-

Format

- -
-
date
-

Start date of the quarter. -

-
earnings
-

Earnings per share (USD). -

-
- -

Source

- -

Shumway, R. H. and Stoffer, D. S. (2000). Time Series Analysis and its -Applications. Second Edition. New York: Springer. Example 1.1. -

-

Examples

- -
-
t = tblish.dataset.JohnsonJohnson
-
-# TODO: Yikes, look at all those plots. Port them to Octave.
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eLakeHuron.html b/docs/devel/user-guide/html/tblish_002edataset_002eLakeHuron.html deleted file mode 100644 index 5357a2d5..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eLakeHuron.html +++ /dev/null @@ -1,104 +0,0 @@ - - - - - - -tblish.dataset.LakeHuron (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.35 tblish.dataset.LakeHuron

- -
-
Static Method: out = LakeHuron ()
-
-

Level of Lake Huron 1875-1972 -

-

Description

- -

Annual measurements of the level, in feet, of Lake Huron 1875–1972. -

-

Format

- -
-
year
-

Year of the measurement -

-
level
-

Lake level (ft). -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1991). Time Series and Forecasting -Methods. Second edition. New York: Springer. Series A, page 555. -

-

Brockwell, P. J. and Davis, R. A. (1996). Introduction to Time Series -and Forecasting. New York: Springer. Sections 5.1 and 7.6. -

-

Examples

- -
-
t = tblish.dataset.LakeHuron;
-
-plot (t.year, t.level)
-xlabel ("Year")
-ylabel ("Lake level (ft)")
-title ("Level of Lake Huron")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eLifeCycleSavings.html b/docs/devel/user-guide/html/tblish_002edataset_002eLifeCycleSavings.html deleted file mode 100644 index 27b81175..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eLifeCycleSavings.html +++ /dev/null @@ -1,130 +0,0 @@ - - - - - - -tblish.dataset.LifeCycleSavings (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.37 tblish.dataset.LifeCycleSavings

- -
-
Static Method: out = LifeCycleSavings ()
-
-

Intercountry Life-Cycle Savings Data -

-

Description

- -

Data on the savings ratio 1960–1970. -

-

Format

- -
-
country
-

Name of the country. -

-
sr
-

Aggregate personal savings. -

-
pop15
-

Percentage of population under 15. -

-
pop75
-

Percentage of population over 75. -

-
dpi
-

Real per-capita disposable income. -

-
ddpi
-

Percent growth rate of dpi. -

-
- -

Details

- -

Under the life-cycle savings hypothesis as developed by Franco Modigliani, the -savings ratio (aggregate personal saving divided by disposable income) is -explained by per-capita disposable income, the percentage rate of change in -per-capita disposable income, and two demographic variables: the percentage -of population less than 15 years old and the percentage of the population over -75 years old. The data are averaged over the decade 1960–1970 to remove the -business cycle or other short-term fluctuations. -

-

Source

- -

The data were obtained from Belsley, Kuh and Welsch (1980). They in turn -obtained the data from Sterling (1977). -

-

References

- -

Sterling, Arnie (1977). Unpublished BS Thesis. Massachusetts Institute of -Technology. -

-

Belsley, D. A., Kuh. E. and Welsch, R. E. (1980). Regression Diagnostics. -New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.LifeCycleSavings;
-
-# TODO: linear model
-
-# TODO: pairs plot with Lowess smoothed line
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eLoblolly.html b/docs/devel/user-guide/html/tblish_002edataset_002eLoblolly.html deleted file mode 100644 index 374c471c..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eLoblolly.html +++ /dev/null @@ -1,111 +0,0 @@ - - - - - - -tblish.dataset.Loblolly (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.38 tblish.dataset.Loblolly

- -
-
Static Method: out = Loblolly ()
-
-

Growth of Loblolly pine trees -

-

Description

- -

Records of the growth of Loblolly pine trees. -

-

Format

- -
-
height
-

Tree height (ft). -

-
age
-

Tree age (years). -

-
Seed
-

Seed source for the tree. Ordering is according to increasing maximum height. -

-
- -

Source

- -

Kung, F. H. (1986). Fitting logistic growth curve with predetermined carrying -capacity. Proceedings of the Statistical Computing Section, American -Statistical Association, 340–343. -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.Loblolly;
-
-t2 = t(t.Seed == "329",:);
-scatter (t2.age, t2.height)
-xlabel ("Tree age (yr)");
-ylabel ("Tree height (ft)");
-title ("Loblolly data and fitted curve (Seed 329 only)")
-
-# TODO: Compute and plot fitted curve
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eNile.html b/docs/devel/user-guide/html/tblish_002edataset_002eNile.html deleted file mode 100644 index 39979243..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eNile.html +++ /dev/null @@ -1,111 +0,0 @@ - - - - - - -tblish.dataset.Nile (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.44 tblish.dataset.Nile

- -
-
Static Method: out = Nile ()
-
-

Flow of the River Nile -

-

Description

- -

Measurements of the annual flow of the river Nile at Aswan (formerly Assuan), -1871–1970, in m^3, “with apparent changepoint near 1898” -(Cobb(1978), Table 1, p.249). -

-

Format

- -
-
year
-

Year of the record. -

-
flow
-

Annual flow (cubic meters). -

-
- -

Source

- -

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/DKbook.html -

-

References

- -

Balke, N. S. (1993). Detecting level shifts in time series. Journal of -Business and Economic Statistics, 11, 81–92. -

-

Cobb, G. W. (1978). The problem of the Nile: conditional solution to a -change-point problem. Biometrika 65, 243–51. -

-

Examples

- -
-
t = tblish.dataset.Nile;
-
-figure
-plot (t.year, t.flow);
-
-# TODO: Port the rest of the example to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eOrange.html b/docs/devel/user-guide/html/tblish_002edataset_002eOrange.html deleted file mode 100644 index b712694d..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eOrange.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - -tblish.dataset.Orange (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.48 tblish.dataset.Orange

- -
-
Static Method: out = Orange ()
-
-

Growth of Orange Trees -

-

Description

- -

Records of the growth of orange trees. -

-

Format

- -
-
Tree
-

A categorical indicating on which tree the measurement is made. -Ordering is according to increasing maximum diameter. -

-
age
-

Age of the tree (days since 1968-12-31). -

-
circumference
-

Trunk circumference (mm). -This is probably “circumference at breast height”, a standard measurement in forestry. -

-
- -

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Draper, N. R. and Smith, H. (1998). Applied Regression Analysis (3rd ed). -New York: Wiley. (exercise 24.N). -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.Orange;
-
-# TODO: Port coplot to Octave
-
-# TODO: Linear model
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eOrchardSprays.html b/docs/devel/user-guide/html/tblish_002edataset_002eOrchardSprays.html deleted file mode 100644 index a88ee9f1..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eOrchardSprays.html +++ /dev/null @@ -1,127 +0,0 @@ - - - - - - -tblish.dataset.OrchardSprays (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.49 tblish.dataset.OrchardSprays

- -
-
Static Method: out = OrchardSprays ()
-
-

Potency of Orchard Sprays -

-

Description

- -

An experiment was conducted to assess the potency of various constituents -of orchard sprays in repelling honeybees, using a Latin square design. -

-

Format

- -
-
rowpos
-

Row of the design. -

-
colpos
-

Column of the design -

-
treatment
-

Treatment level. -

-
decrease
-

Response. -

-
- -

Details

- -

Individual cells of dry comb were filled with measured amounts of lime -sulphur emulsion in sucrose solution. Seven different concentrations of lime -sulphur ranging from a concentration of 1/100 to 1/1,562,500 in successive -factors of 1/5 were used as well as a solution containing no lime sulphur. -

-

The responses for the different solutions were obtained by releasing 100 -bees into the chamber for two hours, and then measuring the decrease in volume -of the solutions in the various cells. -

-

An 8 x 8 Latin square design was used and the treatments were coded as follows: -

-

A – highest level of lime sulphur -B – next highest level of lime sulphur -… -G – lowest level of lime sulphur -H – no lime sulphur -

-

Source

- -

Finney, D. J. (1947). Probit Analysis. Cambridge. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.OrchardSprays;
-
-tblish.examples.plot_pairs (t);
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ePlantGrowth.html b/docs/devel/user-guide/html/tblish_002edataset_002ePlantGrowth.html deleted file mode 100644 index 067a2332..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ePlantGrowth.html +++ /dev/null @@ -1,99 +0,0 @@ - - - - - - -tblish.dataset.PlantGrowth (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.50 tblish.dataset.PlantGrowth

- -
-
Static Method: out = PlantGrowth ()
-
-

Results from an Experiment on Plant Growth -

-

Description

- -

Results from an experiment to compare yields (as measured by dried weight of -plants) obtained under a control and two different treatment conditions. -

-

Format

- -
-
group
-

Treatment condition group. -

-
weight
-

Weight of plants. -

-
- -

Source

- -

Dobson, A. J. (1983). An Introduction to Statistical Modelling. -London: Chapman and Hall. -

-

Examples

- -
-
t = tblish.dataset.PlantGrowth;
-
-# TODO: Port anova to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ePuromycin.html b/docs/devel/user-guide/html/tblish_002edataset_002ePuromycin.html deleted file mode 100644 index 84ee05ae..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ePuromycin.html +++ /dev/null @@ -1,119 +0,0 @@ - - - - - - -tblish.dataset.Puromycin (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.54 tblish.dataset.Puromycin

- -
-
Static Method: out = Puromycin ()
-
-

Reaction Velocity of an Enzymatic Reaction -

-

Description

- -

Reaction velocity versus substrate concentration in an enzymatic reaction -involving untreated cells or cells treated with Puromycin. -

-

Format

- -
-
state
-

Whether the cell was treated. -

-
conc
-

Substrate concentrations (ppm). -

-
rate
-

Instantaneous reaction rates (counts/min/min). -

-
- -

Details

- -

Data on the velocity of an enzymatic reaction were obtained by Treloar -(1974). The number of counts per minute of radioactive product from the -reaction was measured as a function of substrate concentration in parts per -million (ppm) and from these counts the initial rate (or velocity) of the -reaction was calculated (counts/min/min). The experiment was conducted once -with the enzyme treated with Puromycin, and once with the enzyme untreated. -

-

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Bates, D.M. and Watts, D.G. (1988). Nonlinear Regression Analysis and -Its Applications. New York: Wiley. Appendix A1.3. -

-

Treloar, M. A. (1974). Effects of Puromycin on Galactosyltransferase -in Golgi Membranes. M.Sc. Thesis, U. of Toronto. -

-

Examples

- -
-
t = tblish.dataset.Puromycin;
-
-# TODO: Port example to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eTheoph.html b/docs/devel/user-guide/html/tblish_002edataset_002eTheoph.html deleted file mode 100644 index 1a9fa236..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eTheoph.html +++ /dev/null @@ -1,136 +0,0 @@ - - - - - - -tblish.dataset.Theoph (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.66 tblish.dataset.Theoph

- -
-
Static Method: out = Theoph ()
-
-

Pharmacokinetics of Theophylline -

-

Description

- -

An experiment on the pharmacokinetics of theophylline. -

-

Format

- -
-
Subject
-

Categorical identifying the subject on whom the observation was made. The -ordering is by increasing maximum concentration of theophylline observed. -

-
Wt
-

Weight of the subject (kg). -

-
Dose
-

Dose of theophylline administerred orally to the subject (mg/kg). -

-
Time
-

Time since drug administration when the sample was drawn (hr). -

-
conc
-

Theophylline concentration in the sample (mg/L). -

-
- -

Details

- -

Boeckmann, Sheiner and Beal (1994) report data from a study by Dr. Robert -Upton of the kinetics of the anti-asthmatic drug theophylline. Twelve subjects -were given oral doses of theophylline then serum concentrations were measured -at 11 time points over the next 25 hours. -

-

These data are analyzed in Davidian and Giltinan (1995) and Pinheiro and Bates -(2000) using a two-compartment open pharmacokinetic model, for which a -self-starting model function, SSfol, is available. -

-

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Boeckmann, A. J., Sheiner, L. B. and Beal, S. L. (1994). NONMEM Users -Guide: Part V. NONMEM Project Group, University of California, San Francisco. -

-

Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated -Measurement Data. London: Chapman & Hall. (section 5.5, p. 145 and section 6.6, p. 176) -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in -S and S-PLUS. New York: Springer. (Appendix A.29) -

-

Examples

- -
-
t = tblish.dataset.Theoph;
-
-# TODO: Coplot
-# TODO: Yet another linear model to port to Octave
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.Titanic, Previous: tblish.dataset.swiss, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eTitanic.html b/docs/devel/user-guide/html/tblish_002edataset_002eTitanic.html deleted file mode 100644 index a1f71098..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eTitanic.html +++ /dev/null @@ -1,142 +0,0 @@ - - - - - - -tblish.dataset.Titanic (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.67 tblish.dataset.Titanic

- -
-
Static Method: out = Titanic ()
-
-

Survival of passengers on the Titanic -

-

Description

- -

This data set provides information on the fate of passengers on the fatal -maiden voyage of the ocean liner ‘Titanic’, summarized according to -economic status (class), sex, age and survival. -

-

Format

- -

n is a 4-dimensional array resulting from cross-tabulating 2201 observations -on 4 variables. The dimensions of the array correspond to the following variables: -

-
-
Class
-

1st, 2nd, 3rd, Cre. -

-
Sex
-

Male, Female. -

-
Age
-

Child, Adult. -

-
Survived
-

No, Yes. -

-
- -

Details

- -

The sinking of the Titanic is a famous event, and new books are still being -published about it. Many well-known facts—from the proportions of first-class -passengers to the ‘women and children first’ policy, and the fact that that -policy was not entirely successful in saving the women and children in the -third class—are reflected in the survival rates for various classes of -passenger. -

-

These data were originally collected by the British Board of Trade in their -investigation of the sinking. Note that there is not complete agreement among -primary sources as to the exact numbers on board, rescued, or lost. -

-

Due in particular to the very successful film ‘Titanic’, the last years saw a -rise in public interest in the Titanic. Very detailed data about the passengers -is now available on the Internet, at sites such as Encyclopedia Titanica -(https://www.encyclopedia-titanica.org/). -

-

Source

- -

Dawson, Robert J. MacG. (1995). The ‘Unusual Episode’ Data Revisited. -Journal of Statistics Education, 3. -

-

The source provides a data set recording class, sex, age, and survival status -for each person on board of the Titanic, and is based on data originally -collected by the British Board of Trade and reprinted in: -

-

British Board of Trade (1990). Report on the Loss of the ‘Titanic’ -(S.S.). British Board of Trade Inquiry Report (reprint). Gloucester, -UK: Allan Sutton Publishing. -

-

Examples

- -
-
tblish.dataset.Titanic;
-
-# TODO: Port mosaic plot to Octave
-
-# TODO: Check for higher survival rates in children and females
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.ToothGrowth, Previous: tblish.dataset.Theoph, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eToothGrowth.html b/docs/devel/user-guide/html/tblish_002edataset_002eToothGrowth.html deleted file mode 100644 index 448dcac1..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eToothGrowth.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - -tblish.dataset.ToothGrowth (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.68 tblish.dataset.ToothGrowth

- -
-
Static Method: out = ToothGrowth ()
-
-

The Effect of Vitamin C on Tooth Growth in Guinea Pigs -

-

Description

- -

The response is the length of odontoblasts (cells responsible for tooth growth) -in 60 guinea pigs. Each animal received one of three dose levels of vitamin C -(0.5, 1, and 2 mg/day) by one of two delivery methods, orange juice or -ascorbic acid (a form of vitamin C and coded as VC). -

-

Format

- -
-
supp
-

Supplement type. -

-
dose
-

Dose (mg/day). -

-
len
-

Tooth length. -

-
- -

Source

- -

C. I. Bliss (1952). The Statistics of Bioassay. Academic Press. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Crampton, E. W. (1947). The growth of the odontoblast of the incisor -teeth as a criterion of vitamin C intake of the guinea pig. The -Journal of Nutrition, 33(5), 491–504. -

-

Examples

- -
-
t = tblish.dataset.ToothGrowth;
-
-tblish.examples.coplot (t, "dose", "len", "supp");
-
-# TODO: Port Lowess smoothing to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUCBAdmissions.html b/docs/devel/user-guide/html/tblish_002edataset_002eUCBAdmissions.html deleted file mode 100644 index 2bee92d5..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUCBAdmissions.html +++ /dev/null @@ -1,129 +0,0 @@ - - - - - - -tblish.dataset.UCBAdmissions (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.71 tblish.dataset.UCBAdmissions

- -
-
Static Method: out = UCBAdmissions ()
-
-

Student Admissions at UC Berkeley -

-

Description

- -

Aggregate data on applicants to graduate school at Berkeley for the six -largest departments in 1973 classified by admission and sex. -

-

Format

- -

A 3-dimensional array resulting from cross-tabulating 4526 observations on -3 variables. The variables and their levels are as follows: -

-
-
Admit
-

Admitted, Rejected. -

-
Gender
-

Male, Female. -

-
Dept
-

A, B, C, D, E, F. -

-
- -

Details

- -

This data set is frequently used for illustrating Simpson’s paradox, see -Bickel et al (1975). At issue is whether the data show evidence of sex bias -in admission practices. There were 2691 male applicants, of whom 1198 (44.5%) -were admitted, compared with 1835 female applicants of whom 557 (30.4%) were -admitted. This gives a sample odds ratio of 1.83, indicating that males were -almost twice as likely to be admitted. In fact, graphical methods (as in the -example below) or log-linear modelling show that the apparent association -between admission and sex stems from differences in the tendency of males -and females to apply to the individual departments (females used to apply -more to departments with higher rejection rates). -

-

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Bickel, P. J., Hammel, E. A., and O’Connell, J. W. (1975). Sex bias in -graduate admissions: Data from Berkeley. Science, 187, 398–403. -http://www.jstor.org/stable/1739581. -

-

Examples

- -
-
tblish.dataset.UCBAdmissions;
-
-# TODO: Port mosaic plot to Octave
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.UKDriverDeaths, Previous: tblish.dataset.trees, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUKDriverDeaths.html b/docs/devel/user-guide/html/tblish_002edataset_002eUKDriverDeaths.html deleted file mode 100644 index d455f1de..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUKDriverDeaths.html +++ /dev/null @@ -1,152 +0,0 @@ - - - - - - -tblish.dataset.UKDriverDeaths (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.72 tblish.dataset.UKDriverDeaths

- -
-
Static Method: out = UKDriverDeaths ()
-
-

Road Casualties in Great Britain 1969-84 -

-

Description

- -

UKDriverDeaths is a time series giving the monthly totals of car drivers in Great Britain killed -or seriously injured Jan 1969 to Dec 1984. Compulsory wearing of seat belts -was introduced on 31 Jan 1983. -

-

Seatbelts is more information on the same problem. -

-

Format

- -

UKDriverDeaths is a table with the following variables: -

-
-
month
-

Month of the observation. -

-
deaths
-

Number of deaths. -

-
- -

Seatbelts is a table with the following variables: -

-
-
month
-

Month of the observation. -

-
DriversKilled
-

Car drivers killed. -

-
drivers
-

Same as UKDriverDeaths deaths count. -

-
front
-

Front-seat passengers killed or seriously injured. -

-
rear
-

Rear-seat passengers killed or seriously injured. -

-
kms
-

Distance driven. -

-
PetrolPrice
-

Petrol price. -

-
VanKilled
-

Number of van (“light goods vehicle”) drivers killed. -

-
law
-

0/1: was the seatbelt law in effect that month? -

-
- -

Source

- -

Harvey, A.C. (1989). Forecasting, Structural Time Series Models and -the Kalman Filter. Cambridge: Cambridge University Press. pp. 519–523. -

-

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/dkbook/ -

-

References

- -

Harvey, A. C. and Durbin, J. (1986). The effects of seat belt legislation -on British road casualties: A case study in structural time series -modelling. Journal of the Royal Statistical Society series A, 149, 187–227. -

-

Examples

- -
-
tblish.dataset.UKDriverDeaths;
-d = UKDriverDeaths;
-s = Seatbelts;
-
-# TODO: Port the model and plots to Octave
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.UKgas, Previous: tblish.dataset.UCBAdmissions, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUKLungDeaths.html b/docs/devel/user-guide/html/tblish_002edataset_002eUKLungDeaths.html deleted file mode 100644 index cbfee922..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUKLungDeaths.html +++ /dev/null @@ -1,115 +0,0 @@ - - - - - - -tblish.dataset.UKLungDeaths (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.74 tblish.dataset.UKLungDeaths

- -
-
Static Method: out = UKLungDeaths ()
-
-

Monthly Deaths from Lung Diseases in the UK -

-

Description

- -

Three time series giving the monthly deaths from bronchitis, emphysema and -asthma in the UK, 1974–1979. -

-

Format

- -
-
date
-

Month of the observation. -

-
ldeaths
-

Total lung deaths. -

-
fdeaths
-

Lung deaths among females. -

-
mdeaths
-

Lung deaths among males. -

-
- -

Source

- -

P. J. Diggle (1990). Time Series: A Biostatistical Introduction. Oxford. table A.3 -

-

Examples

- -
-
t = tblish.dataset.UKLungDeaths;
-
-figure
-plot (datenum (t.date), t.ldeaths);
-title ("Total UK Lung Deaths")
-xlabel ("Month")
-ylabel ("Deaths")
-
-figure
-plot (datenum (t.date), [t.fdeaths t.mdeaths]);
-title ("UK Lung Deaths buy sex")
-legend ({"Female", "Male"})
-xlabel ("Month")
-ylabel ("Deaths")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUKgas.html b/docs/devel/user-guide/html/tblish_002edataset_002eUKgas.html deleted file mode 100644 index 83aed9da..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUKgas.html +++ /dev/null @@ -1,101 +0,0 @@ - - - - - - -tblish.dataset.UKgas (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.73 tblish.dataset.UKgas

- -
-
Static Method: out = UKgas ()
-
-

UK Quarterly Gas Consumption -

-

Description

- -

Quarterly UK gas consumption from 1960Q1 to 1986Q4, in millions of therms. -

-

Format

- -
-
date
-

Quarter of the observation -

-
gas
-

Gas consumption (MM therms). -

-
- -

Source

- -

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/dkbook/. -

-

Examples

- -
-
t = tblish.dataset.UKgas;
-
-plot (datenum (t.date), t.gas);
-datetick ("x")
-xlabel ("Month")
-ylabel ("Gas consumption (MM therms)")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUSAccDeaths.html b/docs/devel/user-guide/html/tblish_002edataset_002eUSAccDeaths.html deleted file mode 100644 index 9d6460b5..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUSAccDeaths.html +++ /dev/null @@ -1,96 +0,0 @@ - - - - - - -tblish.dataset.USAccDeaths (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.75 tblish.dataset.USAccDeaths

- -
-
Static Method: out = USAccDeaths ()
-
-

Accidental Deaths in the US 1973-1978 -

-

Description

- -

A time series giving the monthly totals of accidental deaths in the USA. -

-

Format

- -
-
month
-

Month of the observation. -

-
deaths
-

Accidental deaths. -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods. -New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.USAccDeaths;
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUSArrests.html b/docs/devel/user-guide/html/tblish_002edataset_002eUSArrests.html deleted file mode 100644 index 6c3468f6..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUSArrests.html +++ /dev/null @@ -1,137 +0,0 @@ - - - - - - -tblish.dataset.USArrests (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.76 tblish.dataset.USArrests

- -
-
Static Method: out = USArrests ()
-
-

Violent Crime Rates by US State -

-

Description

- -

This data set contains statistics, in arrests per 100,000 residents for -assault, murder, and rape in each of the 50 US states in 1973. Also given -is the percent of the population living in urban areas. -

-

Format

- -
-
State
-

State name. -

-
Murder
-

Murder arrests (per 100,000). -

-
Assault
-

Assault arrests (per 100,000). -

-
UrbanPop
-

Percent urban population. -

-
Rape
-

Rape arrests (per 100,000). -

-
- -

Note

- -

USArrests contains the data as in McNeil’s monograph. For the -UrbanPop percentages, a review of the table (No. 21) in the -Statistical Abstracts 1975 reveals a transcription error for Maryland -(and that McNeil used the same “round to even” rule), as found by -Daniel S Coven (Arizona). -

-

See the example below on how to correct the error and improve accuracy -for the ‘<n>.5’ percentages. -

-

Source

- -

World Almanac and Book of Facts 1975. (Crime rates). -

-

Statistical Abstracts of the United States 1975, p.20, (Urban rates), -possibly available as https://books.google.ch/books?id=zl9qAAAAMAAJ&pg=PA20. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.USArrests;
-
-summary (t);
-
-tblish.examples.plot_pairs (t(:,2:end));
-
-# TODO: Difference between USArrests and its correction
-
-# TODO: +/- 0.5 to restore the original <n>.5 percentages
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.USJudgeRatings, Previous: tblish.dataset.USAccDeaths, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUSJudgeRatings.html b/docs/devel/user-guide/html/tblish_002edataset_002eUSJudgeRatings.html deleted file mode 100644 index 08fc8449..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUSJudgeRatings.html +++ /dev/null @@ -1,129 +0,0 @@ - - - - - - -tblish.dataset.USJudgeRatings (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.77 tblish.dataset.USJudgeRatings

- -
-
Static Method: out = USJudgeRatings ()
-
-

Lawyers’ Ratings of State Judges in the US Superior Court -

-

Description

- -

Lawyers’ ratings of state judges in the US Superior Court. -

-

Format

- -
-
CONT
-

Number of contacts of lawyer with judge. -

-
INTG
-

Judicial integrity. -

-
DMNR
-

Demeanor. -

-
DILG
-

Diligence. -

-
CFMG
-

Case flow managing. -

-
DECI
-

Prompt decisions. -

-
PREP
-

Preparation for trial. -

-
FAMI
-

Familiarity with law. -

-
ORAL
-

Sound oral rulings. -

-
WRIT
-

Sound written rulings. -

-
PHYS
-

Physical ability. -

-
RTEN
-

Worthy of retention. -

-
- -

Source

- -

New Haven Register, 14 January, 1977 (from John Hartigan). -

-

Examples

- -
-
t = tblish.dataset.USJudgeRatings;
-
-figure
-tblish.examples.plot_pairs (t(:,2:end));
-title ("USJudgeRatings data")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eUSPersonalExpenditure.html b/docs/devel/user-guide/html/tblish_002edataset_002eUSPersonalExpenditure.html deleted file mode 100644 index 24a00af1..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eUSPersonalExpenditure.html +++ /dev/null @@ -1,99 +0,0 @@ - - - - - - -tblish.dataset.USPersonalExpenditure (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.78 tblish.dataset.USPersonalExpenditure

- -
-
Static Method: out = USPersonalExpenditure ()
-
-

Personal Expenditure Data -

-

Description

- -

This data set consists of United States personal expenditures (in billions -of dollars) in the categories: food and tobacco, household operation, -medical and health, personal care, and private education for the years 1940, -1945, 1950, 1955 and 1960. -

-

Format

- -

A 2-dimensional matrix x with Category along dimension 1 and Year along dimension 2. -

-

Source

- -

The World Almanac and Book of Facts, 1962, page 756. -

-

References

- -

Tukey, J. W. (1977). Exploratory Data Analysis. Reading, Mass: Addison-Wesley. -

-

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.USPersonalExpenditure;
-
-# TODO: Port medpolish() from R, whatever that is.
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eVADeaths.html b/docs/devel/user-guide/html/tblish_002edataset_002eVADeaths.html deleted file mode 100644 index f6b42e98..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eVADeaths.html +++ /dev/null @@ -1,106 +0,0 @@ - - - - - - -tblish.dataset.VADeaths (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.80 tblish.dataset.VADeaths

- -
-
Static Method: out = VADeaths ()
-
-

Death Rates in Virginia (1940) -

-

Description

- -

Death rates per 1000 in Virginia in 1940. -

-

Format

- -

A 2-dimensional matrix deaths, with age group along dimension 1 and -demographic group along dimension 2. -

-

Details

- -

The death rates are measured per 1000 population per year. They are -cross-classified by age group (rows) and population group (columns). The -age groups are: 50–54, 55–59, 60–64, 65–69, 70–74 and the population groups -are Rural/Male, Rural/Female, Urban/Male and Urban/Female. -

-

This provides a rather nice 3-way analysis of variance example. -

-

Source

- -

Molyneaux, L., Gilliam, S. K., and Florant, L. C.(1947) Differences -in Virginia death rates by color, sex, age, and rural or urban -residence. American Sociological Review, 12, 525–535. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.VADeaths;
-
-# TODO: Port to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eWWWusage.html b/docs/devel/user-guide/html/tblish_002edataset_002eWWWusage.html deleted file mode 100644 index 0f4bd8e3..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eWWWusage.html +++ /dev/null @@ -1,95 +0,0 @@ - - - - - - -tblish.dataset.WWWusage (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.85 tblish.dataset.WWWusage

- -
-
Static Method: out = WWWusage ()
-
-

WWWusage -

-

Description

- -

A time series of the numbers of users connected to the Internet through -a server every minute. -

-

Format

- -

A time series of length 100. -

-

Source

- -

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/dkbook/ -

-

References

- -

Makridakis, S., Wheelwright, S. C. and Hyndman, R. J. (1998). Forecasting: -Methods and Applications. New York: Wiley. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eWorldPhones.html b/docs/devel/user-guide/html/tblish_002edataset_002eWorldPhones.html deleted file mode 100644 index dae2c0dc..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eWorldPhones.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.WorldPhones (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.84 tblish.dataset.WorldPhones

- -
-
Static Method: out = WorldPhones ()
-
-

The World’s Telephones -

-

Description

- -

The number of telephones in various regions of the world (in thousands). -

-

Format

- -

A matrix with 7 rows and 8 columns. The columns of the matrix give the -figures for a given region, and the rows the figures for a year. -

-

The regions are: North America, Europe, Asia, South America, Oceania, -Africa, Central America. -

-

The years are: 1951, 1956, 1957, 1958, 1959, 1960, 1961. -

-

Source

- -

AT&T (1961) The World’s Telephones. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.WorldPhones;
-
-# TODO: Port matplot() to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eairmiles.html b/docs/devel/user-guide/html/tblish_002edataset_002eairmiles.html deleted file mode 100644 index 3ca0b1a3..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eairmiles.html +++ /dev/null @@ -1,88 +0,0 @@ - - - - - - -tblish.dataset.airmiles (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.1 tblish.dataset.airmiles

- -
-
Static Method: out = airmiles ()
-
-

Passenger Miles on Commercial US Airlines, 1937-1960 -

-

Description

- -

The revenue passenger miles flown by commercial airlines in the -United States for each year from 1937 to 1960. -

-

Source

- -

F.A.A. Statistical Handbook of Aviation. -

-

Examples

- -
-
t = tblish.dataset.airmiles;
-plot (t.year, t.miles);
-title ("airmiles data");
-xlabel ("Passenger-miles flown by U.S. commercial airlines")
-ylabel ("airmiles");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eairquality.html b/docs/devel/user-guide/html/tblish_002edataset_002eairquality.html deleted file mode 100644 index 07b3d89f..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eairquality.html +++ /dev/null @@ -1,139 +0,0 @@ - - - - - - -tblish.dataset.airquality (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.3 tblish.dataset.airquality

- -
-
Static Method: out = airquality ()
-
-

New York Air Quality Measurements from 1973 -

-

Description

- -

Daily air quality measurements in New York, May to September 1973. -

-

Format

- -
-
Ozone
-

Ozone concentration (ppb) -

-
SolarR
-

Solar R (lang) -

-
Wind
-

Wind (mph) -

-
Temp
-

Temperature (degrees F) -

-
Month
-

Month (1-12) -

-
Day
-

Day of month (1-31) -

-
- -

Source

- -

New York State Department of Conservation (ozone data) and the National -Weather Service (meteorological data). -

-

References

- -

Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983). -Graphical Methods for Data Analysis. Belmont, CA: Wadsworth. -

-

Examples

- -
-
t = tblish.dataset.airquality
-# Plot a scatter-plot plus a fitted line, for each combination of measurements
-vars = {"Ozone", "SolarR", "Wind", "Temp" "Month", "Day"};
-n_vars = numel (vars);
-figure;
-for i = 1:n_vars
-  for j = 1:n_vars
-    if (i == j)
-      continue
-    endif
-    ix_subplot = (n_vars * (j - 1) + i);
-    hax = subplot (n_vars, n_vars, ix_subplot);
-    var_x = vars{i};
-    var_y = vars{j};
-    x = t.(var_x);
-    y = t.(var_y);
-    scatter (hax, x, y, 10);
-    # Fit a cubic line to these points
-    # TODO: Find out exactly what kind of fitted line R's example is using, and
-    # port that.
-    hold on
-    p = polyfit (x, y, 3);
-    x_hat = unique(x);
-    p_y = polyval (p, x_hat);
-    plot (hax, x_hat, p_y, "r");
-  endfor
-endfor
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eanscombe.html b/docs/devel/user-guide/html/tblish_002edataset_002eanscombe.html deleted file mode 100644 index ba0c93ff..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eanscombe.html +++ /dev/null @@ -1,130 +0,0 @@ - - - - - - -tblish.dataset.anscombe (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.4 tblish.dataset.anscombe

- -
-
Static Method: out = anscombe ()
-
-

Anscombe’s Quartet of “Identical” Simple Linear Regressions -

-

Description

- -

Four sets of x/y pairs which have the same statistical properties, but are -very different. -

-

Format

- -

The data comes in an array of 4 structs, each with fields as follows: -

-
-
x
-

The X values for this pair. -

-
y
-

The Y values for this pair. -

-
- -

Source

- -

Tufte, Edward R. (1989). The Visual Display of Quantitative Information. -13–14. Cheshire, CT: Graphics Press. -

-

References

- -

Anscombe, Francis J. (1973). Graphs in statistical analysis. The -American Statistician, 27, 17–21. -

-

Examples

- -
-
data = tblish.dataset.anscombe
-
-# Pick good limits for the plots
-all_x = [data.x];
-all_y = [data.y];
-x_limits = [min(0, min(all_x)) max(all_x)*1.2];
-y_limits = [min(0, min(all_y)) max(all_y)*1.2];
-
-# Do regression on each pair and plot the input and results
-figure;
-haxs = NaN (1, 4);
-for i_pair = 1:4
-  x = data(i_pair).x;
-  y = data(i_pair).y;
-  # TODO: Port the anova and other characterizations from the R code
-  # TODO: Do a linear regression and plot its line
-  hax = subplot (2, 2, i_pair);
-  haxs(i_pair) = hax;
-  xlabel (sprintf ("x%d", i_pair));
-  ylabel (sprintf ("y%d", i_pair));
-  scatter (x, y, "r");
-endfor
-
-# Fiddle with the plot axes parameters
-linkaxes (haxs);
-xlim (haxs(1), x_limits);
-ylim (haxs(1), y_limits);
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eattenu.html b/docs/devel/user-guide/html/tblish_002edataset_002eattenu.html deleted file mode 100644 index 56d97f0c..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eattenu.html +++ /dev/null @@ -1,114 +0,0 @@ - - - - - - -tblish.dataset.attenu (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.5 tblish.dataset.attenu

- -
-
Static Method: out = attenu ()
-
-

Joyner-Boore Earthquake Attenuation Data -

-

Description

- -

Event data for 23 earthquakes in California, showing peak accelerations. -

-

Format

- -
-
event
-

Event number -

-
mag
-

Moment magnitude -

-
station
-

Station identifier -

-
dist
-

Station-hypocenter distance (km) -

-
accel
-

Peak acceleration (g) -

-
- -

Source

- -

Joyner, W.B., D.M. Boore and R.D. Porcella (1981). Peak horizontal acceleration -and velocity from strong-motion records including records from the 1979 -Imperial Valley, California earthquake. USGS Open File report 81-365. Menlo -Park, CA. -

-

References

- -

Boore, D. M. and Joyner, W. B. (1982). The empirical prediction of ground -motion. Bulletin of the Seismological Society of America, 72, S269–S268. -

-

Examples

- -
-
# TODO: Port the example code from R
-# It does coplot() and pairs(), which are higher-level plotting tools
-# than core Octave provides. This could turn into a long example if we
-# just use base Octave here.
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eattitude.html b/docs/devel/user-guide/html/tblish_002edataset_002eattitude.html deleted file mode 100644 index 6a17e382..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eattitude.html +++ /dev/null @@ -1,118 +0,0 @@ - - - - - - -tblish.dataset.attitude (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.6 tblish.dataset.attitude

- -
-
Static Method: out = attitude ()
-
-

The Chatterjee-Price Attitude Data -

-

Description

- -

Aggregated data from a survey of clerical employees at a large financial -organization. -

-

Format

- -
-
rating
-

Overall rating. -

-
complaints
-

Handling of employee complaints. -

-
privileges
-

Does not allow special privileges. -

-
learning
-

Opportunity to learn. -

-
raises
-

Raises based on performance. -

-
critical
-

Too critical. -

-
advance
-

Advancement. -

-
- -

Source

- -

Chatterjee, S. and Price, B. (1977). Regression Analysis by Example. New York: -Wiley. (Section 3.7, p.68ff of 2nd ed.(1991).) -

-

Examples

- -
-
t = tblish.dataset.attitude
-
-tblish.examples.plot_pairs (t);
-
-# TODO: Display table summary
-
-# TODO: Whatever those statistical linear-model plots are that R is doing
-
-
-
- -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eaustres.html b/docs/devel/user-guide/html/tblish_002edataset_002eaustres.html deleted file mode 100644 index da643e05..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eaustres.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.austres (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.7 tblish.dataset.austres

- -
-
Static Method: out = austres ()
-
-

Australian Population -

-

Description

- -

Numbers of Australian residents measured quarterly from March 1971 to March 1994. -

-

Format

- -
-
date
-

The month of the observation. -

-
residents
-

The number of residents. -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1996). Introduction to Time Series and -Forecasting. New York: Springer-Verlag. -

-

Examples

- -
-
t = tblish.dataset.austres
-
-plot (datenum (t.date), t.residents);
-datetick x
-xlabel ("Month"); ylabel ("Residents"); title ("Australian Residents");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ebeavers.html b/docs/devel/user-guide/html/tblish_002edataset_002ebeavers.html deleted file mode 100644 index c08019c1..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ebeavers.html +++ /dev/null @@ -1,104 +0,0 @@ - - - - - - -tblish.dataset.beavers (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.8 tblish.dataset.beavers

- -
-
Static Method: out = beavers ()
-
-

Body Temperature Series of Two Beavers -

-

Description

- -

Body temperature readings for two beavers. -

-

Format

- -
-
day
-

Day of observation (in days since the beginning of 1990), December 12–13 (beaver1) -and November 3–4 (beaver2). -

-
time
-

Time of observation, in the form 0330 for 3:30am -

-
temp
-

Measured body temperature in degrees Celsius. -

-
activ
-

Indicator of activity outside the retreat. -

-
- -

Source

- -

P. S. Reynolds (1994) Time-series analyses of beaver body temperatures. -Chapter 11 of Lange, N., Ryan, L., Billard, L., Brillinger, D., Conquest, -L. and Greenhouse, J. (Eds.) (1994) Case Studies in Biometry. New York: John Wiley -and Sons. -

-

Examples

- -
-
# TODO: This example needs to be ported from R.
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ecars.html b/docs/devel/user-guide/html/tblish_002edataset_002ecars.html deleted file mode 100644 index 9cdd0cc5..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ecars.html +++ /dev/null @@ -1,131 +0,0 @@ - - - - - - -tblish.dataset.cars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.11 tblish.dataset.cars

- -
-
Static Method: out = cars ()
-
-

Speed and Stopping Distances of Cars -

-

Description

- -

Speed of cars and distances taken to stop. Note that the data were recorded in the 1920s. -

-

Format

- -
-
speed
-

Speed (mph). -

-
dist
-

Stopping distance (ft). -

-
- -

Source

- -

Ezekiel, M. (1930). Methods of Correlation Analysis. New York: Wiley. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
-
-t = tblish.dataset.cars;
-
-
-# TODO: Add Lowess smoothed lines to the plots
-
-figure;
-plot (t.speed, t.dist, "o");
-xlabel ("Speed (mph)"); ylabel ("Stopping distance (ft)");
-title ("cars data");
-
-figure;
-loglog (t.speed, t.dist, "o");
-xlabel ("Speed (mph)"); ylabel ("Stopping distance (ft)");
-title ("cars data (logarithmic scales)");
-
-# TODO: Do the linear model plot
-
-# Polynomial regression
-figure;
-plot (t.speed, t.dist, "o");
-xlabel ("Speed (mph)"); ylabel ("Stopping distance (ft)");
-title ("cars polynomial regressions");
-hold on
-xlim ([0 25]);
-x2 = linspace (0, 25, 200);
-for degree = 1:4
-  [P, S, mu] = polyfit (t.speed, t.dist, degree);
-  y2 = polyval(P, x2, [], mu);
-  plot (x2, y2);
-endfor
-
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002echickwts.html b/docs/devel/user-guide/html/tblish_002edataset_002echickwts.html deleted file mode 100644 index 63550f03..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002echickwts.html +++ /dev/null @@ -1,118 +0,0 @@ - - - - - - -tblish.dataset.chickwts (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.13 tblish.dataset.chickwts

- -
-
Static Method: out = chickwts ()
-
-

Chicken Weights by Feed Type -

-

Description

- -

An experiment was conducted to measure and compare the effectiveness of various -feed supplements on the growth rate of chickens. -

-

Newly hatched chicks were randomly allocated into six groups, and each group -was given a different feed supplement. Their weights in grams after six weeks -are given along with feed types. -

-

Format

- -
-
weight
-

Chick weight at six weeks (gm). -

-
feed
-

Feed type. -

-
- -

Source

- -

Anonymous (1948) Biometrika, 35, 214. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
# This example requires the statistics package from Octave Forge
-
-t = tblish.dataset.chickwts
-
-# Boxplot by group
-figure
-g = groupby (t, "feed", {
-  "weight", @(x) {x}, "weight"
-});
-boxplot (g.weight, 1);
-xlabel ("feed"); ylabel ("Weight at six weeks (gm)");
-xticklabels ([{""} cellstr(g.feed')]);
-
-# Linear model
-# TODO: This linear model thing and anova
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eco2.html b/docs/devel/user-guide/html/tblish_002edataset_002eco2.html deleted file mode 100644 index 616b781a..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eco2.html +++ /dev/null @@ -1,115 +0,0 @@ - - - - - - -tblish.dataset.co2 (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.14 tblish.dataset.co2

- -
-
Static Method: out = co2 ()
-
-

Mauna Loa Atmospheric CO2 Concentration -

-

Description

- -

Atmospheric concentrations of CO2 are expressed in parts per million (ppm) and -reported in the preliminary 1997 SIO manometric mole fraction scale. Contains -monthly observations from 1959 to 1997. -

-

Format

- -
-
date
-

Date of the month of the observation, as datetime. -

-
co2
-

CO2 concentration (ppm). -

-
- -

Details

- -

The values for February, March and April of 1964 were missing and have -been obtained by interpolating linearly between the values for January -and May of 1964. -

-

Source

- -

Keeling, C. D. and Whorf, T. P., Scripps Institution of Oceanography -(SIO), University of California, La Jolla, California USA 92093-0220. -

-

ftp://cdiac.esd.ornl.gov/pub/maunaloa-co2/maunaloa.co2. -

-

References

- -

Cleveland, W. S. (1993). Visualizing Data. New Jersey: Summit Press. -

-

Examples

- -
-
t = tblish.dataset.co2;
-
-plot (datenum (t.date), t.co2);
-datetick ("x");
-xlabel ("Time"); ylabel ("Atmospheric concentration of CO2");
-title ("co2 data set");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ecrimtab.html b/docs/devel/user-guide/html/tblish_002edataset_002ecrimtab.html deleted file mode 100644 index c5e373fe..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ecrimtab.html +++ /dev/null @@ -1,151 +0,0 @@ - - - - - - -tblish.dataset.crimtab (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.15 tblish.dataset.crimtab

- -
-
Static Method: out = crimtab ()
-
-

Student’s 3000 Criminals Data -

-

Description

- -

Data of 3000 male criminals over 20 years old undergoing their sentences in the -chief prisons of England and Wales. -

-

Format

- -

This dataset contains three separate variables. The finger_length and -body_height variables correspond to the rows and columns of the -count matrix. -

-
-
finger_length
-

Midpoints of intervals of finger lengths (cm). -

-
body_height
-

Body heights (cm). -

-
count
-

Number of prisoners in this bin. -

-
- -

Details

- -

Student is the pseudonym of William Sealy Gosset. In his 1908 paper he wrote -(on page 13) at the beginning of section VI entitled Practical Test of the -forgoing Equations: -

-

“Before I had succeeded in solving my problem analytically, I had endeavoured -to do so empirically. The material used was a correlation table containing -the height and left middle finger measurements of 3000 criminals, from a -paper by W. R. MacDonell (Biometrika, Vol. I., p. 219). The measurements -were written out on 3000 pieces of cardboard, which were then very thoroughly -shuffled and drawn at random. As each card was drawn its numbers were written -down in a book, which thus contains the measurements of 3000 criminals in a -random order. Finally, each consecutive set of 4 was taken as a sample—750 -in all—and the mean, standard deviation, and correlation of each sample -etermined. The difference between the mean of each sample and the mean of -the population was then divided by the standard deviation of the sample, giving -us the z of Section III.” -

-

The table is in fact page 216 and not page 219 in MacDonell(1902). In the -MacDonell table, the middle finger lengths were given in mm and the heights -in feet/inches intervals, they are both converted into cm here. The midpoints -of intervals were used, e.g., where MacDonell has “4’ 7"9/16 – 8"9/16”, we -have 142.24 which is 2.54*56 = 2.54*(4’ 8"). -

-

MacDonell credited the source of data (page 178) as follows: “The data on which -the memoir is based were obtained, through the kindness of Dr Garson, from the -Central Metric Office, New Scotland Yard... He pointed out on page 179 that: -“The forms were drawn at random from the mass on the office shelves; we are -therefore dealing with a random sampling.” -

-

Source

- -

http://pbil.univ-lyon1.fr/R/donnees/criminals1902.txt thanks to Jean R. -Lobry and Anne-Béatrice Dufour. -

-

References

- -

Garson, J.G. (1900). The metric system of identification of criminals, as used -in in Great Britain and Ireland. The Journal of the Anthropological -Institute of Great Britain and Ireland, 30, 161–198. -

-

MacDonell, W.R. (1902). On criminal anthropometry and the identification of -criminals. Biometrika, 1(2), 177–227. -

-

Student (1908). The probable error of a mean. Biometrika, 6, 1–25. -

-

Examples

- -
-
# TODO: Port this from R
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.cupcake, Previous: tblish.dataset.co2, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ecupcake.html b/docs/devel/user-guide/html/tblish_002edataset_002ecupcake.html deleted file mode 100644 index 1210d20f..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ecupcake.html +++ /dev/null @@ -1,98 +0,0 @@ - - - - - - -tblish.dataset.cupcake (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.16 tblish.dataset.cupcake

- -
-
Static Method: out = cupcake ()
-
-

Google Search popularity for "cupcake", 2004-2019 -

-

Description

- -

Monthly popularity of worldwide Google search results for "cupcake", 2004-2019. -

-

Format

- -
-
Month
-

Month when searches took place -

-
Cupcake
-

An indicator of search volume, in unknown units -

-
- -

Source

- -

Google Trends, https://trends.google.com/trends/explore?q=%2Fm%2F03p1r4&date=all, -retrieved 2019-05-04 by Andrew Janke. -

-

Examples

- -
-
t = tblish.dataset.cupcake
-plot (datenum (t.Month), t.Cupcake)
-title ('“Cupcake” Google Searches'); xlabel ("Year"); ylabel ("Unknown popularity metric");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ediscoveries.html b/docs/devel/user-guide/html/tblish_002edataset_002ediscoveries.html deleted file mode 100644 index 7f4e5faa..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ediscoveries.html +++ /dev/null @@ -1,103 +0,0 @@ - - - - - - -tblish.dataset.discoveries (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.17 tblish.dataset.discoveries

- -
-
Static Method: out = discoveries ()
-
-

Yearly Numbers of Important Discoveries -

-

Description

- -

The numbers of “great” inventions and scientific discoveries in each year from 1860 to 1959. -

-

Format

- -
-
year
-

Year. -

-
discoveries
-

Number of “great” discoveries that year. -

-
- -

Source

- -

The World Almanac and Book of Facts, 1975 Edition, pages 315–318. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.discoveries;
-
-plot (t.year, t.discoveries);
-xlabel ("Time"); ylabel ("Number of important discoveries");
-title ("discoveries data set");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eesoph.html b/docs/devel/user-guide/html/tblish_002edataset_002eesoph.html deleted file mode 100644 index 2243d7e7..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eesoph.html +++ /dev/null @@ -1,111 +0,0 @@ - - - - - - -tblish.dataset.esoph (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.19 tblish.dataset.esoph

- -
-
Static Method: out = esoph ()
-
-

Smoking, Alcohol and Esophageal Cancer -

-

Description

- -

Data from a case-control study of (o)esophageal cancer in Ille-et-Vilaine, France. -

-

Format

- -
-
item
-

Age group (years). -

-
alcgp
-

Alcohol consumption (gm/day). -

-
tobgp
-

Tobacco consumption (gm/day). -

-
ncases
-

Number of cases. -

-
ncontrols
-

Number of controls -

-
- -

Source

- -

Breslow, N. E. and Day, N. E. (1980) Statistical Methods in Cancer Research. -Volume 1: The Analysis of Case-Control Studies. Oxford: IARC Lyon / Oxford University Press. -

-

Examples

- -
-
# TODO: Port this from R
-
-# TODO: Port the anova output
-
-# TODO: Port the fancy plot
-# This involves a "mosaic plot", which is not supported by Octave, so this will
-# take some work.
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eeuro.html b/docs/devel/user-guide/html/tblish_002edataset_002eeuro.html deleted file mode 100644 index 28c554b6..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eeuro.html +++ /dev/null @@ -1,117 +0,0 @@ - - - - - - -tblish.dataset.euro (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.20 tblish.dataset.euro

- -
-
Static Method: out = euro ()
-
-

Conversion Rates of Euro Currencies -

-

Description

- -

Conversion rates between the various Euro currencies. -

-

Format

- -

This data comes in two separate variables. -

-
-
euro
-

An 11-long vector of the value of 1 Euro in all participating currencies. -

-
euro_cross
-

An 11-by-11 matrix of conversion rates between various Euro currencies. -

-
euro_date
-

The date upon which these Euro conversion rates were fixed. -

-
- -

Details

- -

The data set euro contains the value of 1 Euro in all currencies participating -in the European monetary union (Austrian Schilling ATS, Belgian Franc BEF, -German Mark DEM, Spanish Peseta ESP, Finnish Markka FIM, French Franc FRF, -Irish Punt IEP, Italian Lira ITL, Luxembourg Franc LUF, Dutch Guilder NLG and -Portuguese Escudo PTE). These conversion rates were fixed by the European -Union on December 31, 1998. To convert old prices to Euro prices, divide by the -respective rate and round to 2 digits. -

-

Source

- -

Unknown. -

-

This example data set was derived from the R 3.6.0 example datasets, and they -do not specify a source. -

-

Examples

- -
-
# TODO: Port this from R
-
-# TODO: Example conversion
-
-# TODO: "dot chart" showing euro-to-whatever conversion rates and vice versa
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eeurodist.html b/docs/devel/user-guide/html/tblish_002edataset_002eeurodist.html deleted file mode 100644 index 0549f921..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eeurodist.html +++ /dev/null @@ -1,95 +0,0 @@ - - - - - - -tblish.dataset.eurodist (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.21 tblish.dataset.eurodist

- -
-
Static Method: out = eurodist ()
-
-

Distances Between European Cities and Between US Cities -

-

Description

- -

eurodist gives road distances (in km) between 21 cities in Europe. The -data are taken from a table in The Cambridge Encyclopaedia. -

-

UScitiesD gives “straight line” distances between 10 cities in the US. -

-

Format

- -
-
eurodist
-

????? -

-
- -

TODO: Finish this. -

-

Source

- -

Crystal, D. Ed. (1990). The Cambridge Encyclopaedia. Cambridge: -Cambridge University Press. -

-

The US cities distances were provided by Pierre Legendre. -

-

Examples

- - - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002efaithful.html b/docs/devel/user-guide/html/tblish_002edataset_002efaithful.html deleted file mode 100644 index 480846c9..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002efaithful.html +++ /dev/null @@ -1,126 +0,0 @@ - - - - - - -tblish.dataset.faithful (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.23 tblish.dataset.faithful

- -
-
Static Method: out = faithful ()
-
-

Old Faithful Geyser Data -

-

Description

- -

Waiting time between eruptions and the duration of the eruption for the Old -Faithful geyser in Yellowstone National Park, Wyoming, USA. -

-

Format

- -
-
eruptions
-

Eruption time (mins). -

-
waiting
-

Waiting time to next eruption (mins). -

-
- -

Source

- -

W. Härdle. -

-

References

- -

Härdle, W. (1991). Smoothing Techniques with Implementation in S. New York: -Springer. -

-

Azzalini, A. and Bowman, A. W. (1990). A look at some data on the Old -Faithful geyser. Applied Statistics, 39, 357–365. -

-

Examples

- -
-
t = tblish.dataset.faithful;
-
-# Munge the data, rounding eruption time to the second
-e60 = 60 * t.eruptions;
-ne60 = round (e60);
-# TODO: Port zapsmall to Octave
-eruptions = ne60 / 60;
-# TODO: Display mean relative difference and bins summary
-
-# Histogram of rounded eruption times
-figure
-hist (ne60, max (ne60))
-xlabel ("Eruption time (sec)")
-ylabel ("n")
-title ("faithful data: Eruptions of Old Faithful")
-
-# Scatter plot of eruption time vs waiting time
-figure
-scatter (t.eruptions, t.waiting)
-xlabel ("Eruption time (min)")
-ylabel ("Waiting time to next eruption (min)")
-title ("faithful data: Eruptions of Old Faithful")
-# TODO: Port Lowess smoothing to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002efreeny.html b/docs/devel/user-guide/html/tblish_002edataset_002efreeny.html deleted file mode 100644 index 8bf34124..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002efreeny.html +++ /dev/null @@ -1,126 +0,0 @@ - - - - - - -tblish.dataset.freeny (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.25 tblish.dataset.freeny

- -
-
Static Method: out = freeny ()
-
-

Freeny’s Revenue Data -

-

Description

- -

Freeny’s data on quarterly revenue and explanatory variables. -

-

Format

- -

Freeny’s dataset consists of one observed dependent variable -(revenue) and four explanatory variables (lagged quartery -revenue, price index, income level, and market potential). -

-
-
date
-

Start date of the quarter for the observation. -

-
y
-

Observed quarterly revenue. -TODO: Determine units (probably millions of USD?) -

-
lag_quarterly_revenue
-

Quarterly revenue (y), lagged 1 quarter. -

-
price_index
-

A price index -

-
income_level
-

??? TODO: Fill this in -

-
market_potential
-

??? TODO: Fill this in -

-
- -

Source

- -

Freeny, A. E. (1977). A Portable Linear Regression Package with Test -Programs. Bell Laboratories memorandum. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.freeny;
-
-summary (t)
-
-tblish.examples.plot_pairs (removevars (t, "date"))
-
-# TODO: Create linear model and print summary
-
-# TODO: Linear model plot
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002einfert.html b/docs/devel/user-guide/html/tblish_002edataset_002einfert.html deleted file mode 100644 index 5f4d7dbb..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002einfert.html +++ /dev/null @@ -1,120 +0,0 @@ - - - - - - -tblish.dataset.infert (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.30 tblish.dataset.infert

- -
-
Static Method: out = infert ()
-
-

Infertility after Spontaneous and Induced Abortion -

-

Description

- -

This is a matched case-control study dating from before the availability of -conditional logistic regression. -

-

Format

- -
-
education
-

Index of the record. -

-
age
-

Age in years of case. -

-
parity
-

Count. -

-
induced
-

Number of prior induced abortions, grouped into “0”, “1”, or “2 or more”. -

-
case_status
-

0 = control, 1 = case. -

-
spontaneous
-

Number of prior spontaneous abortions, grouped into “0”, “1”, or “2 or more”. -

-
stratum
-

Matched set number. -

-
pooled_stratum
-

Stratum number. -

-
- -

Note

- -

One case with two prior spontaneous abortions and two prior induced abortions is omitted. -

-

Source

- -

Trichopoulos et al (1976). Br. J. of Obst. and Gynaec. 83, 645–650. -

-

Examples

- -
-
t = tblish.dataset.infert;
-
-# TODO: Port glm() (generalized linear model) stuff to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eiris.html b/docs/devel/user-guide/html/tblish_002edataset_002eiris.html deleted file mode 100644 index 6bce043c..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eiris.html +++ /dev/null @@ -1,117 +0,0 @@ - - - - - - -tblish.dataset.iris (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.32 tblish.dataset.iris

- -
-
Static Method: out = iris ()
-
-

The Fisher Iris dataset: measurements of various flowers -

-

Description

- -

This is the classic Fisher Iris dataset. -

-

Format

- -
-
Species
-

The species of flower being measured. -

-
SepalLength
-

Length of sepals, in centimeters. -

-
SepalWidth
-

Width of sepals, in centimeters. -

-
PetalLength
-

Length of petals, in centimeters. -

-
PetalWidth
-

Width of petals, in centimeters. -

-
- -

Source

- -

http://archive.ics.uci.edu/ml/datasets/Iris -

-

References

- -

https://en.wikipedia.org/wiki/Iris_flower_data_set -

-

Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. -Annals of Eugenics, 7, Part II, 179-188. also in Contributions -to Mathematical Statistics (John Wiley, NY, 1950). -

-

Duda, R.O., & Hart, P.E. (1973). Pattern Classification and Scene Analysis. -(Q327.D83) New York: John Wiley & Sons. ISBN 0-471-22361-1. See page 218. -

-

The data were collected by Anderson, Edgar (1935). The irises of the Gaspe -Peninsula. Bulletin of the American Iris Society, 59, 2–5. -

-

Examples

- -
-
# TODO: Port this example from R
-
-
- -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eislands.html b/docs/devel/user-guide/html/tblish_002edataset_002eislands.html deleted file mode 100644 index d17221f2..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eislands.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - -tblish.dataset.islands (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.33 tblish.dataset.islands

- -
-
Static Method: out = islands ()
-
-

Areas of the World’s Major Landmasses -

-

Description

- -

The areas in thousands of square miles of the landmasses which exceed 10,000 -square miles. -

-

Format

- -
-
name
-

The name of the island. -

-
area
-

The area, in thousands of square miles. -

-
- -

Source

- -

The World Almanac and Book of Facts, 1975, page 406. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.islands;
-
-# TODO: Port dot chart to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002elh.html b/docs/devel/user-guide/html/tblish_002edataset_002elh.html deleted file mode 100644 index 5633dac1..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002elh.html +++ /dev/null @@ -1,101 +0,0 @@ - - - - - - -tblish.dataset.lh (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.36 tblish.dataset.lh

- -
-
Static Method: out = lh ()
-
-

Luteinizing Hormone in Blood Samples -

-

Description

- -

A regular time series giving the luteinizing hormone in blood samples at 10 -minute intervals from a human female, 48 samples. -

-

Format

- -
-
sample
-

The number of the observation. -

-
lh
-

Level of luteinizing hormone. -

-
- -

Source

- -

P.J. Diggle (1990). Time Series: A Biostatistical Introduction. Oxford. -Table A.1, series 3. -

-

Examples

- -
-
t = tblish.dataset.lh;
-
-plot (t.sample, t.lh);
-xlabel ("Sample Number");
-ylabel ("lh level");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002elongley.html b/docs/devel/user-guide/html/tblish_002edataset_002elongley.html deleted file mode 100644 index 6d4acd6e..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002elongley.html +++ /dev/null @@ -1,121 +0,0 @@ - - - - - - -tblish.dataset.longley (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.39 tblish.dataset.longley

- -
-
Static Method: out = longley ()
-
-

Longley’s Economic Regression Data -

-

Description

- -

A macroeconomic data set which provides a well-known example for a highly -collinear regression. -

-

Format

- -
-
Year
-

The year. -

-
GNP_deflator
-

GNP implicit price deflator (1954=100). -

-
GNP
-

Gross National Product. -

-
Unemployed
-

Number of unemployed. -

-
Armed_Forces
-

Number of people in the armed forces. -

-
Population
-

“Noninstitutionalized” population ≥ 14 years of age. -

-
Employed
-

Number of people employed. -

-
- -

Source

- -

J. W. Longley (1967). An appraisal of least-squares programs from the point of -view of the user. Journal of the American Statistical Association, 62, -819–841. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.longley;
-
-# TODO: Linear model
-# TODO: opar plot
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002elynx.html b/docs/devel/user-guide/html/tblish_002edataset_002elynx.html deleted file mode 100644 index c6cd89a4..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002elynx.html +++ /dev/null @@ -1,112 +0,0 @@ - - - - - - -tblish.dataset.lynx (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.40 tblish.dataset.lynx

- -
-
Static Method: out = lynx ()
-
-

Annual Canadian Lynx trappings 1821-1934 -

-

Description

- -

Annual numbers of lynx trappings for 1821–1934 in Canada. Taken from Brockwell -& Davis (1991), this appears to be the series considered by Campbell & Walker -(1977). -

-

Format

- -
-
year
-

Year of the record. -

-
lynx
-

Number of lynx trapped. -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1991). Time Series and Forecasting -Methods. Second edition. New York: Springer. Series G (page 557). -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Campbell, M. J. and Walker, A. M. (1977). A Survey of statistical work on -the Mackenzie River series of annual Canadian lynx trappings for the years -1821–1934 and a new analysis. Journal of the Royal Statistical Society -series A, 140, 411–431. -

-

Examples

- -
-
t = tblish.dataset.lynx;
-
-plot (t.year, t.lynx);
-xlabel ("Year");
-ylabel ("Lynx Trapped");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002emorley.html b/docs/devel/user-guide/html/tblish_002edataset_002emorley.html deleted file mode 100644 index aada7c67..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002emorley.html +++ /dev/null @@ -1,117 +0,0 @@ - - - - - - -tblish.dataset.morley (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

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-
-
-

8.2.57.41 tblish.dataset.morley

- -
-
Static Method: out = morley ()
-
-

Michelson Speed of Light Data -

-

Description

- -

A classical data of Michelson (but not this one with Morley) on measurements -done in 1879 on the speed of light. The data consists of five experiments, -each consisting of 20 consecutive ‘runs’. The response is the speed of -light measurement, suitably coded (km/sec, with 299000 subtracted). -

-

Format

- -
-
Expt
-

The experiment number, from 1 to 5. -

-
Run
-

The run number within each experiment. -

-
Speed
-

Speed-of-light measurement. -

-
- -

Details

- -

The data is here viewed as a randomized block experiment with experiment -and run as the factors. run may also be considered a quantitative -variate to account for linear (or polynomial) changes in the measurement over -the course of a single experiment. -

-

Source

- -

A. J. Weekes (1986). A Genstat Primer. London: Edward Arnold. -

-

S. M. Stigler (1977). Do robust estimators work with real data? Annals -of Statistics 5, 1055–1098. (See Table 6.) -

-

A. A. Michelson (1882). Experimental determination of the velocity of -light made at the United States Naval Academy, Annapolis. Astronomic -Papers, 1, 135–8. U.S. Nautical Almanac Office. (See Table 24.). -

-

Examples

- -
-
t = tblish.dataset.morley;
-
-# TODO: Port to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002emtcars.html b/docs/devel/user-guide/html/tblish_002edataset_002emtcars.html deleted file mode 100644 index 8e968319..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002emtcars.html +++ /dev/null @@ -1,131 +0,0 @@ - - - - - - -tblish.dataset.mtcars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.42 tblish.dataset.mtcars

- -
-
Static Method: out = mtcars ()
-
-

Motor Trend 1974 Car Road Tests -

-

Description

- -

The data was extracted from the 1974 Motor Trend US magazine, and -comprises fuel consumption and 10 aspects of automobile design and -performance for 32 automobiles (1973–74 models). -

-

Format

- -
-
mpg
-

Fuel efficiency in miles/gallon -

-
cyl
-

Number of cylinders -

-
disp
-

Displacement (cu. in.) -

-
hp
-

Gross horsepower -

-
drat
-

Rear axle ratio -

-
wt
-

Weight (1,000 lbs) -

-
qsec
-

1/4 mile time -

-
vs
-

Engine type (0 = V-shaped, 1 = straight) -

-
am
-

Transmission type (0 = automatic, 1 = manual) -

-
gear
-

Number of forward gears -

-
carb
-

Number of carburetors -

-
- -

Note

- -

Henderson and Velleman (1981) comment in a footnote to Table 1: “Hocking -[original transcriber]’s noncrucial coding of the Mazda’s rotary engine -as a straight six-cylinder engine and the Porsche’s flat engine as a V -engine, as well as the inclusion of the diesel Mercedes 240D, have been -retained to enable direct comparisons to be made with previous analyses.” -

-

Source

- -

Henderson and Velleman (1981). Building multiple regression models -interactively. Biometrics, 37, 391–411. -

-

Examples

- -
-
# TODO: Port this example from R
-
- -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002enhtemp.html b/docs/devel/user-guide/html/tblish_002edataset_002enhtemp.html deleted file mode 100644 index 377c3d10..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002enhtemp.html +++ /dev/null @@ -1,104 +0,0 @@ - - - - - - -tblish.dataset.nhtemp (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.43 tblish.dataset.nhtemp

- -
-
Static Method: out = nhtemp ()
-
-

Average Yearly Temperatures in New Haven -

-

Description

- -

The mean annual temperature in degrees Fahrenheit in New Haven, Connecticut, -from 1912 to 1971. -

-

Format

- -
-
year
-

Year of the observation. -

-
temp
-

Mean annual temperature (degrees F). -

-
- -

Source

- -

Vaux, J. E. and Brinker, N. B. (1972) Cycles, 1972, 117–121. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.nhtemp;
-
-plot (t.year, t.temp);
-title ("nhtemp data");
-xlabel ("Mean annual temperature in New Haven, CT (deg. F)");
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002enottem.html b/docs/devel/user-guide/html/tblish_002edataset_002enottem.html deleted file mode 100644 index bff56552..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002enottem.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.nottem (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.45 tblish.dataset.nottem

- -
-
Static Method: out = nottem ()
-
-

Average Monthly Temperatures at Nottingham, 1920-1939 -

-

Description

- -

A time series object containing average air temperatures at -Nottingham Castle in degrees Fahrenheit for 20 years. -

-

Format

- -
-
record
-

Index of the record. -

-
lead
-

Leading indicator. -

-
sales
-

Sales volume. -

-
- -

Source

- -

Anderson, O. D. (1976). Time Series Analysis and Forecasting: -The Box-Jenkins approach. London: Butterworths. Series R. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002enpk.html b/docs/devel/user-guide/html/tblish_002edataset_002enpk.html deleted file mode 100644 index 334e4953..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002enpk.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - -tblish.dataset.npk (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.46 tblish.dataset.npk

- -
-
Static Method: out = npk ()
-
-

Classical N, P, K Factorial Experiment -

-

Description

- -

A classical N, P, K (nitrogen, phosphate, potassium) factorial experiment -on the growth of peas conducted on 6 blocks. Each half of a fractional -factorial design confounding the NPK interaction was used on 3 of the plots. -

-

Format

- -
-
block
-

Which block (1 to 6). -

-
N
-

Indicator (0/1) for the application of nitrogen. -

-
P
-

Indicator (0/1) for the application of phosphate. -

-
K
-

Indicator (0/1) for the application of potassium. -

-
yield
-

Yield of peas, in pounds/plot. Plots were 1/70 acre. -

-
- -

Source

- -

Imperial College, London, M.Sc. exercise sheet. -

-

References

- -

Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics -with S. Fourth edition. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.npk;
-
-# TODO: Port aov() and LM to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eoccupationalStatus.html b/docs/devel/user-guide/html/tblish_002edataset_002eoccupationalStatus.html deleted file mode 100644 index 3d3b28db..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eoccupationalStatus.html +++ /dev/null @@ -1,93 +0,0 @@ - - - - - - -tblish.dataset.occupationalStatus (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.47 tblish.dataset.occupationalStatus

- -
-
Static Method: out = occupationalStatus ()
-
-

Occupational Status of Fathers and their Sons -

-

Description

- -

Cross-classification of a sample of British males according to each subject’s -occupational status and his father’s occupational status. -

-

Format

- -

An 8-by-8 matrix of counts, with classifying fators origin (father’s -occupational status, levels 1:8) and destination (son’s -occupational status, levels 1:8). -

-

Source

- -

Goodman, L. A. (1979). Simple Models for the Analysis of Association in -Cross-Classifications having Ordered Categories. J. Am. Stat. -Assoc., 74 (367), 537–552. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eprecip.html b/docs/devel/user-guide/html/tblish_002edataset_002eprecip.html deleted file mode 100644 index 37533663..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eprecip.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - -tblish.dataset.precip (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.51 tblish.dataset.precip

- -
-
Static Method: out = precip ()
-
-

Annual Precipitation in US Cities -

-

Description

- -

The average amount of precipitation (rainfall) in inches for each of 70 United -States (and Puerto Rico) cities. -

-

Format

- -
-
city
-

City observed. -

-
precip
-

Annual precipitation (in). -

-
- -

Source

- -

Statistical Abstracts of the United States, 1975. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.precip;
-
-# TODO: Port dot plot to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002epresidents.html b/docs/devel/user-guide/html/tblish_002edataset_002epresidents.html deleted file mode 100644 index 0a35fafe..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002epresidents.html +++ /dev/null @@ -1,112 +0,0 @@ - - - - - - -tblish.dataset.presidents (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.52 tblish.dataset.presidents

- -
-
Static Method: out = presidents ()
-
-

Quarterly Approval Ratings of US Presidents -

-

Description

- -

The (approximately) quarterly approval rating for the President of the United -States from the first quarter of 1945 to the last quarter of 1974. -

-

Format

- -
-
date
-

Approximate date of the observation. -

-
approval
-

Approval rating (%). -

-
- -

Details

- -

The data are actually a fudged version of the approval ratings. See McNeil’s book -for details. -

-

Source

- -

The Gallup Organisation. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.presidents;
-
-figure
-plot (datenum (t.date), t.approval)
-datetick ("x")
-xlabel ("Date")
-ylabel ("Approval rating (%)")
-title ("presidents data")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002epressure.html b/docs/devel/user-guide/html/tblish_002edataset_002epressure.html deleted file mode 100644 index cc010b79..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002epressure.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - -tblish.dataset.pressure (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.53 tblish.dataset.pressure

- -
-
Static Method: out = pressure ()
-
-

Vapor Pressure of Mercury as a Function of Temperature -

-

Description

- -

Data on the relation between temperature in degrees Celsius and vapor pressure -of mercury in millimeters (of mercury). -

-

Format

- -
-
temperature
-

Temperature (deg C). -

-
pressure
-

Pressure (mm Hg). -

-
- -

Source

- -

Weast, R. C., ed. (1973). Handbook of Chemistry and Physics. Cleveland: CRC Press. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.pressure;
-
-figure
-plot (t.temperature, t.pressure)
-xlabel ("Temperature (deg C)")
-ylabel ("Pressure (mm of Hg)")
-title ("pressure data: Vapor Pressure of Mercury")
-
-figure
-semilogy (t.temperature, t.pressure)
-xlabel ("Temperature (deg C)")
-ylabel ("Pressure (mm of Hg)")
-title ("pressure data: Vapor Pressure of Mercury")
-
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002equakes.html b/docs/devel/user-guide/html/tblish_002edataset_002equakes.html deleted file mode 100644 index d1e92ead..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002equakes.html +++ /dev/null @@ -1,120 +0,0 @@ - - - - - - -tblish.dataset.quakes (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.55 tblish.dataset.quakes

- -
-
Static Method: out = quakes ()
-
-

Locations of Earthquakes off Fiji -

-

Description

- -

The data set give the locations of 1000 seismic events of MB > 4.0. The events -occurred in a cube near Fiji since 1964. -

-

Format

- -
-
lat
-

Latitude of event. -

-
long
-

Longitude of event. -

-
depth
-

Depth (km). -

-
mag
-

Richter magnitude. -

-
stations
-

Number of stations reporting. -

-
- -

Details

- -

There are two clear planes of seismic activity. One is a major plate junction; -the other is the Tonga trench off New Zealand. These data constitute a subsample -from a larger dataset of containing 5000 observations. -

-

Source

- -

This is one of the Harvard PRIM-H project data sets. They in turn obtained it -from Dr. John Woodhouse, Dept. of Geophysics, Harvard University. -

-

References

- -

G. E. P. Box and G. M. Jenkins (1976). Time Series Analysis, Forecasting and -Control. San Francisco: Holden-Day. p. 537. -

-

P. J. Brockwell and R. A. Davis (1991). Time Series: Theory and Methods. -Second edition. New York: Springer-Verlag. p. 414. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002erandu.html b/docs/devel/user-guide/html/tblish_002edataset_002erandu.html deleted file mode 100644 index 867e7726..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002erandu.html +++ /dev/null @@ -1,115 +0,0 @@ - - - - - - -tblish.dataset.randu (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.56 tblish.dataset.randu

- -
-
Static Method: out = randu ()
-
-

Random Numbers from Congruential Generator RANDU -

-

Description

- -

400 triples of successive random numbers were taken from the VAX FORTRAN -function RANDU running under VMS 1.5. -

-

Format

- -
-
record
-

Index of the record. -

-
x
-

X value of the triple. -

-
y
-

Y value of the triple. -

-
z
-

Z value of the triple. -

-
- -

Details

- -

In three dimensional displays it is evident that the triples fall on 15 -parallel planes in 3-space. This can be shown theoretically to be true -for all triples from the RANDU generator. -

-

These particular 400 triples start 5 apart in the sequence, that is they -are ((U[5i+1], U[5i+2], U[5i+3]), i= 0, ..., 399), and they are rounded -to 6 decimal places. -

-

Under VMS versions 2.0 and higher, this problem has been fixed. -

-

Source

- -

David Donoho -

-

Examples

- -
-
t = tblish.dataset.randu;
-
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002erivers.html b/docs/devel/user-guide/html/tblish_002edataset_002erivers.html deleted file mode 100644 index 2ac4122e..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002erivers.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.rivers (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.57 tblish.dataset.rivers

- -
-
Static Method: out = rivers ()
-
-

Lengths of Major North American Rivers -

-

Description

- -

This data set gives the lengths (in miles) of 141 “major” rivers in North -America, as compiled by the US Geological Survey. -

-

Format

- -
-
rivers
-

A vector containing 141 observations. -

-
- -

Source

- -

World Almanac and Book of Facts, 1975, page 406. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.rivers;
-
-longest_river = max (rivers)
-shortest_river = min (rivers)
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002erock.html b/docs/devel/user-guide/html/tblish_002edataset_002erock.html deleted file mode 100644 index dbab2276..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002erock.html +++ /dev/null @@ -1,112 +0,0 @@ - - - - - - -tblish.dataset.rock (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.58 tblish.dataset.rock

- -
-
Static Method: out = rock ()
-
-

Measurements on Petroleum Rock Samples -

-

Description

- -

Measurements on 48 rock samples from a petroleum reservoir. -

-

Format

- -
-
area
-

Area of pores space, in pixels out of 256 by 256. -

-
peri
-

Perimeter in pixels. -

-
shape
-

Perimeter/sqrt(area). -

-
perm
-

Permeability in milli-Darcies. -

-
- -

Details

- -

Twelve core samples from petroleum reservoirs were sampled by 4 -cross-sections. Each core sample was measured for permeability, and each -cross-section has total area of pores, total perimeter of pores, and shape. -

-

Source

- -

Data from BP Research, image analysis by Ronit Katz, U. Oxford. -

-

Examples

- -
-
t = tblish.dataset.rock;
-
-figure
-scatter (t.area, t.perm)
-xlabel ("Area of pores space (pixels out of 256x256)")
-ylabel ("Permeability (milli-Darcies)")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002esleep.html b/docs/devel/user-guide/html/tblish_002edataset_002esleep.html deleted file mode 100644 index 5d427553..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002esleep.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - -tblish.dataset.sleep (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.59 tblish.dataset.sleep

- -
-
Static Method: out = sleep ()
-
-

Student’s Sleep Data -

-

Description

- -

Data which show the effect of two soporific drugs (increase in hours of sleep -compared to control) on 10 patients. -

-

Format

- -
-
id
-

Patient ID. -

-
group
-

Drug given. -

-
extra
-

Increase in hours of sleep. -

-
- -

Details

- -

The group variable name may be misleading about the data: They -represent measurements on 10 persons, not in groups. -

-

Source

- -

Cushny, A. R. and Peebles, A. R. (1905). The action of optical isomers: -II hyoscines. The Journal of Physiology, 32, 501–510. -

-

Student (1908). The probable error of the mean. Biometrika, 6, 20. -

-

References

- -

Scheffé, Henry (1959). The Analysis of Variance. New York, NY: Wiley. -

-

Examples

- -
-
t = tblish.dataset.sleep;
-
-# TODO: Port to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002estackloss.html b/docs/devel/user-guide/html/tblish_002edataset_002estackloss.html deleted file mode 100644 index f53c6eb8..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002estackloss.html +++ /dev/null @@ -1,133 +0,0 @@ - - - - - - -tblish.dataset.stackloss (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.60 tblish.dataset.stackloss

- -
-
Static Method: out = stackloss ()
-
-

Brownlee’s Stack Loss Plant Data -

-

Description

- -

Operational data of a plant for the oxidation of ammonia to nitric acid. -

-

Format

- -
-
AirFlow
-

Flow of cooling air. -

-
WaterTemp
-

Cooling Water Inlet temperature. -

-
AcidConc
-

Concentration of acid (per 1000, minus 500). -

-
StackLoss
-

Stack loss -

-
- -

Details

- -

“Obtained from 21 days of operation of a plant for the oxidation of ammonia -(NH3) to nitric acid (HNO3). The nitric oxides produced are absorbed in a -countercurrent absorption tower”. (Brownlee, cited by Dodge, slightly reformatted by MM.) -

-

AirFlow represents the rate of operation of the plant. WaterTemp is the -temperature of cooling water circulated through coils in the absorption tower. -AcidConc is the concentration of the acid circulating, minus 50, times 10: -that is, 89 corresponds to 58.9 per cent acid. StackLoss (the dependent variable) -is 10 times the percentage of the ingoing ammonia to the plant that escapes from -the absorption column unabsorbed; that is, an (inverse) measure of the over-all -efficiency of the plant. -

-

Source

- -

Brownlee, K. A. (1960, 2nd ed. 1965). Statistical Theory and Methodology -in Science and Engineering. New York: Wiley. pp. 491–500. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Dodge, Y. (1996). The guinea pig of multiple regression. In: Robust -Statistics, Data Analysis, and Computer Intensive Methods; In Honor of -Peter Huber’s 60th Birthday, 1996, Lecture Notes in Statistics -109, Springer-Verlag, New York. -

-

Examples

- -
-
t = tblish.dataset.stackloss;
-
-# TODO: Create linear model and print summary
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.state, Previous: tblish.dataset.sleep, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002estate.html b/docs/devel/user-guide/html/tblish_002edataset_002estate.html deleted file mode 100644 index 91f02058..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002estate.html +++ /dev/null @@ -1,141 +0,0 @@ - - - - - - -tblish.dataset.state (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.61 tblish.dataset.state

- -
-
Static Method: out = state ()
-
-

US State Facts and Figures -

-

Description

- -

Data related to the 50 states of the United States of America. -

-

Format

- -
-
abb
-

State abbreviation. -

-
name
-

State name. -

-
area
-

Area (sq mi). -

-
lat
-

Approximate center (latitude). -

-
lon
-

Approximate center (longitude). -

-
division
-

State division. -

-
revion
-

State region. -

-
Population
-

Population estimate as of July 1, 1975. -

-
Income
-

Per capita income (1974). -

-
Illiteracy
-

Illiteracy as of 1970 (percent of population). -

-
LifeExp
-

Lfe expectancy in years (1969-71). -

-
Murder
-

Murder and non-negligent manslaughter rate per 100,000 population (1976). -

-
HSGrad
-

Percent high-school graduates (1970). -

-
Frost
-

Mean number of days with minimum temperature below freezing (1931-1960) -in capital or large city. -

-
- -

Source

- -

U.S. Department of Commerce, Bureau of the Census (1977) Statistical -Abstract of the United States. -

-

U.S. Department of Commerce, Bureau of the Census (1977) County -and City Data Book. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.state;
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002esunspot_005fmonth.html b/docs/devel/user-guide/html/tblish_002edataset_002esunspot_005fmonth.html deleted file mode 100644 index b6a9f781..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002esunspot_005fmonth.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.sunspot_month (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.62 tblish.dataset.sunspot_month

- -
-
Static Method: out = sunspot_month ()
-
-

Monthly Sunspot Data, from 1749 to “Present” -

-

Description

- -

Monthly numbers of sunspots, as from the World Data Center, aka SIDC. This -is the version of the data that may occasionally be updated when new counts -become available. -

-

Format

- -
-
month
-

Month of the observation. -

-
sunspots
-

Number of sunspots. -

-
- -

Source

- -

WDC-SILSO, Solar Influences Data Analysis Center (SIDC), Royal Observatory -of Belgium, Av. Circulaire, 3, B-1180 BRUSSELS. -Currently at http://www.sidc.be/silso/datafiles. -

-

Examples

- -
-
t = tblish.dataset.sunspot_month;
-
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002esunspot_005fyear.html b/docs/devel/user-guide/html/tblish_002edataset_002esunspot_005fyear.html deleted file mode 100644 index c981af68..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002esunspot_005fyear.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.sunspot_year (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.63 tblish.dataset.sunspot_year

- -
-
Static Method: out = sunspot_year ()
-
-

Yearly Sunspot Data, 1700-1988 -

-

Description

- -

Yearly numbers of sunspots from 1700 to 1988 (rounded to one digit). -

-

Format

- -
-
year
-

Year of the observation. -

-
sunspots
-

Number of sunspots. -

-
- -

Source

- -

H. Tong (1996) Non-Linear Time Series. Clarendon Press, Oxford, p. 471. -

-

Examples

- -
-
t = tblish.dataset.sunspot_year;
-
-figure
-plot (t.year, t.sunspots)
-xlabel ("Year")
-ylabel ("Sunspots")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002esunspots.html b/docs/devel/user-guide/html/tblish_002edataset_002esunspots.html deleted file mode 100644 index 0b356385..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002esunspots.html +++ /dev/null @@ -1,106 +0,0 @@ - - - - - - -tblish.dataset.sunspots (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.64 tblish.dataset.sunspots

- -
-
Static Method: out = sunspots ()
-
-

Monthly Sunspot Numbers, 1749-1983 -

-

Description

- -

Monthly mean relative sunspot numbers from 1749 to 1983. Collected at Swiss -Federal Observatory, Zurich until 1960, then Tokyo Astronomical Observatory. -

-

Format

- -
-
month
-

Month of the observation. -

-
sunspots
-

Number of observed sunspots. -

-
- -

Source

- -

Andrews, D. F. and Herzberg, A. M. (1985) Data: A Collection -of Problems from Many Fields for the Student and Research Worker. -New York: Springer-Verlag. -

-

Examples

- -
-
t = tblish.dataset.sunspots;
-
-figure
-plot (datenum (t.month), t.sunspots)
-datetick ("x")
-xlabel ("Date")
-ylabel ("Monthly sunspot numbers")
-title ("sunspots data")
-
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002eswiss.html b/docs/devel/user-guide/html/tblish_002edataset_002eswiss.html deleted file mode 100644 index 1211d61a..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002eswiss.html +++ /dev/null @@ -1,139 +0,0 @@ - - - - - - -tblish.dataset.swiss (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.65 tblish.dataset.swiss

- -
-
Static Method: out = swiss ()
-
-

Swiss Fertility and Socioeconomic Indicators (1888) Data -

-

Description

- -

Standardized fertility measure and socio-economic indicators for each of 47 -French-speaking provinces of Switzerland at about 1888. -

-

Format

- -
-
Fertility
-

Ig, ‘common standardized fertility measure’. -

-
Agriculture
-

% of males involved in agriculture as occupation. -

-
Examination
-

% draftees receiving highest mark on army examination. -

-
Education
-

% education beyond primary school for draftees. -

-
Catholic
-

% ‘Catholic’ (as opposed to ‘Protestant’). -

-
InfantMortality
-

Live births who live less than 1 year. -

-
- -

All variables but ‘Fertility’ give proportions of the population. -

-

Source

- -

(paraphrasing Mosteller and Tukey): -

-

Switzerland, in 1888, was entering a period known as the demographic transition; -i.e., its fertility was beginning to fall from the high level typical of -underdeveloped countries. -

-

The data collected are for 47 French-speaking “provinces” at about 1888. -

-

Here, all variables are scaled to [0, 100], where in the original, all but -Catholic were scaled to [0, 1]. -

-

Note

- -

Files for all 182 districts in 1888 and other years have been available at -https://opr.princeton.edu/archive/pefp/switz.aspx. -

-

They state that variables Examination and Education are averages -for 1887, 1888 and 1889. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.swiss;
-
-# TODO: Port linear model to Octave
-
-
- - -
- -
-
-
-

-Next: tblish.dataset.Theoph, Previous: tblish.dataset.sunspots, Up: tblish.dataset   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002etreering.html b/docs/devel/user-guide/html/tblish_002edataset_002etreering.html deleted file mode 100644 index ff0828af..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002etreering.html +++ /dev/null @@ -1,101 +0,0 @@ - - - - - - -tblish.dataset.treering (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.69 tblish.dataset.treering

- -
-
Static Method: out = treering ()
-
-

Yearly Treering Data, -6000-1979 -

-

Description

- -

Contains normalized tree-ring widths in dimensionless units. -

-

Format

- -

A univariate time series with 7981 observations. -

-

Each tree ring corresponds to one year. -

-

Details

- -

The data were recorded by Donald A. Graybill, 1980, from Gt Basin -Bristlecone Pine 2805M, 3726-11810 in Methuselah Walk, California. -

-

Source

- -

Time Series Data Library: http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/, -series ‘CA535.DAT’. -

-

References

- -

For some photos of Methuselah Walk see -https://web.archive.org/web/20110523225828/http://www.ltrr.arizona.edu/~hallman/sitephotos/meth.html. -

-

Examples

- -
-
t = tblish.dataset.treering;
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002etrees.html b/docs/devel/user-guide/html/tblish_002edataset_002etrees.html deleted file mode 100644 index 37555ddd..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002etrees.html +++ /dev/null @@ -1,119 +0,0 @@ - - - - - - -tblish.dataset.trees (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.70 tblish.dataset.trees

- -
-
Static Method: out = trees ()
-
-

Diameter, Height and Volume for Black Cherry Trees -

-

Description

- -

This data set provides measurements of the diameter, height and volume of -timber in 31 felled black cherry trees. Note that the diameter (in inches) -is erroneously labelled Girth in the data. It is measured at 4 ft 6 in -above the ground. -

-

Format

- -
-
Girth
-

Tree diameter (rather than girth, actually) in inches. -

-
Height
-

Height in ft. -

-
Volume
-

Volume of timber in cubic feet. -

-
- -

Source

- -

Ryan, T. A., Joiner, B. L. and Ryan, B. F. (1976). The Minitab -Student Handbook. Duxbury Press. -

-

References

- -

Atkinson, A. C. (1985). Plots, Transformations and Regression. -Oxford: Oxford University Press. -

-

Examples

- -
-
t = tblish.dataset.trees;
-
-figure
-tblish.examples.plot_pairs (t);
-
-figure
-loglog (t.Girth, t.Volume)
-xlabel ("Girth")
-ylabel ("Volume")
-
-# TODO: Transform to log space for the coplot
-
-# TODO: Linear model
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002euspop.html b/docs/devel/user-guide/html/tblish_002edataset_002euspop.html deleted file mode 100644 index d64dfbda..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002euspop.html +++ /dev/null @@ -1,101 +0,0 @@ - - - - - - -tblish.dataset.uspop (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.79 tblish.dataset.uspop

- -
-
Static Method: out = uspop ()
-
-

Populations Recorded by the US Census -

-

Description

- -

This data set gives the population of the United States -(in millions) as recorded by the decennial census for the period 1790–1970. -

-

Format

- -
-
year
-

Year of the census. -

-
population
-

Population, in millions. -

-
- -

Source

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.uspop;
-
-figure
-semilogy (t.year, t.population)
-xlabel ("Year")
-ylabel ("U.S. Population (millions)")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002evolcano.html b/docs/devel/user-guide/html/tblish_002edataset_002evolcano.html deleted file mode 100644 index 111947db..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002evolcano.html +++ /dev/null @@ -1,103 +0,0 @@ - - - - - - -tblish.dataset.volcano (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.81 tblish.dataset.volcano

- -
-
Static Method: out = volcano ()
-
-

Topographic Information on Auckland’s Maunga Whau Volcano -

-

Description

- -

Maunga Whau (Mt Eden) is one of about 50 volcanos in the Auckland volcanic -field. This data set gives topographic information for Maunga Whau on a -10m by 10m grid. -

-

Format

- -

A matrix volcano with 87 rows and 61 columns, rows corresponding -to grid lines running east to west and columns to grid lines running south -to north. -

-

Source

- -

Digitized from a topographic map by Ross Ihaka. These data should not be regarded as accurate. -

-

References

- -

Box, G. E. P. and Jenkins, G. M. (1976). Time Series Analysis, Forecasting and -Control. San Francisco: Holden-Day. p. 537. -

-

Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods. -Second edition. New York: Springer-Verlag. p. 414. -

-

Examples

- -
-
tblish.dataset.volcano;
-
-# TODO: Figure out how to do a topo map in Octave. Just a gridded color plot
-# should be fine. And then maybe do a 3-d mesh plot.
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ewarpbreaks.html b/docs/devel/user-guide/html/tblish_002edataset_002ewarpbreaks.html deleted file mode 100644 index c83db442..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ewarpbreaks.html +++ /dev/null @@ -1,112 +0,0 @@ - - - - - - -tblish.dataset.warpbreaks (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.82 tblish.dataset.warpbreaks

- -
-
Static Method: out = warpbreaks ()
-
-

The Number of Breaks in Yarn during Weaving -

-

Description

- -

This data set gives the number of warp breaks per loom, where a loom -corresponds to a fixed length of yarn. -

-

Format

- -
-
wool
-

Type of wool (A or B). -

-
tension
-

The level of tension (L, M, H). -

-
breaks
-

Number of breaks. -

-
- -

There are measurements on 9 looms for each of the six types of warp (AL, AM, AH, BL, BM, BH). -

-

Source

- -

Tippett, L. H. C. (1950). Technological Applications of Statistics. -New York: Wiley. Page 106. -

-

References

- -

Tukey, J. W. (1977). Exploratory Data Analysis. Reading, Mass: Addison-Wesley. -

-

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.warpbreaks;
-
-summary (t)
-
-# TODO: Port the plotting code and OPAR to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ewomen.html b/docs/devel/user-guide/html/tblish_002edataset_002ewomen.html deleted file mode 100644 index d3929c3e..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ewomen.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - - - -tblish.dataset.women (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.83 tblish.dataset.women

- -
-
Static Method: out = women ()
-
-

Average Heights and Weights for American Women -

-

Description

- -

This data set gives the average heights and weights for American women aged 30–39. -

-

Format

- -
-
height
-

Height (in). -

-
weight
-

Weight (lbs). -

-
- -

Details

- -

The data set appears to have been taken from the American Society of Actuaries -Build and Blood Pressure Study for some (unknown to us) earlier year. -

-

The World Almanac notes: “The figures represent weights in ordinary indoor -clothing and shoes, and heights with shoes”. -

-

Source

- -

The World Almanac and Book of Facts, 1975. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.women;
-
-figure
-scatter (t.height, t.weight)
-xlabel ("Height (in)")
-ylabel ("Weight (lb")
-title ("women data: American women aged 30-39")
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edataset_002ezCO2.html b/docs/devel/user-guide/html/tblish_002edataset_002ezCO2.html deleted file mode 100644 index 99541a62..00000000 --- a/docs/devel/user-guide/html/tblish_002edataset_002ezCO2.html +++ /dev/null @@ -1,100 +0,0 @@ - - - - - - -tblish.dataset.zCO2 (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
-
-

-Previous: , Up: tblish.dataset   [Contents]

-
-
-

8.2.57.86 tblish.dataset.zCO2

- -
-
Static Method: out = zCO2 ()
-
-

Carbon Dioxide Uptake in Grass Plants -

-

Description

- -

The CO2 data set has 84 rows and 5 columns of data from an experiment -on the cold tolerance of the grass species Echinochloa crus-galli. -

-

Format

- -

Details

- -

The CO2 uptake of six plants from Quebec and six plants from Mississippi was -measured at several levels of ambient CO2 concentration. Half the plants of -each type were chilled overnight before the experiment was conducted. -

-

Source

- -

Potvin, C., Lechowicz, M. J. and Tardif, S. (1990). The statistical -analysis of ecophysiological response curves obtained from experiments -involving repeated measures. Ecology, 71, 1389–1400. -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models -in S and S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.zCO2;
-
-# TODO: Coplot
-# TODO: Port the linear model to Octave
-
-
- - -
- -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002edatasets.html b/docs/devel/user-guide/html/tblish_002edatasets.html deleted file mode 100644 index af6aad56..00000000 --- a/docs/devel/user-guide/html/tblish_002edatasets.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -tblish.datasets (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.58 tblish.datasets

-
-
Class: tblish.datasets
-
-

Example dataset collection. -

-

tblish.datasets is a collection of example datasets to go with the -Tablicious package. -

-

The tblish.datasets class provides methods for listing and loading -the example datasets. -

-
- - - -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002eevalWithTableVars.html b/docs/devel/user-guide/html/tblish_002eevalWithTableVars.html deleted file mode 100644 index f2529bb4..00000000 --- a/docs/devel/user-guide/html/tblish_002eevalWithTableVars.html +++ /dev/null @@ -1,89 +0,0 @@ - - - - - - -tblish.evalWithTableVars (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.59 tblish.evalWithTableVars

-
-
Function: out = tblish.evalWithTableVars (tbl, expr)
-
-

Evaluate an expression against a table array’s variables. -

-

Evaluates the M-code expression expr in a workspace where all of tbl’s -variables have been assigned to workspace variables. -

-

expr is a charvec containing an Octave expression. -

-

As an implementation detail, the workspace will also contain some variables -that are prefixed and suffixed with "__". So try to avoid those in your -table variable names. -

-

Returns the result of the evaluation. -

-

Examples: -

-
-
[s,p,sp] = tblish.examples.SpDb
-tmp = join (sp, p);
-shipment_weight = tblish.evalWithTableVars (tmp, "Qty .* Weight")
-
- -

See also: table.restrict -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002eexamples_002eSpDb.html b/docs/devel/user-guide/html/tblish_002eexamples_002eSpDb.html deleted file mode 100644 index 987534f0..00000000 --- a/docs/devel/user-guide/html/tblish_002eexamples_002eSpDb.html +++ /dev/null @@ -1,77 +0,0 @@ - - - - - - -tblish.examples.SpDb (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.62 tblish.examples.SpDb

-
-
Function: spdb = tblish.examples.SpDb ()
-
Function: [s, p, sp] = tblish.examples.SpDb ()
-
-

The classic Suppliers-Parts example database. -

-

Constructs the classic C. J. Date Suppliers-Parts ("SP") example database as tables. -This database is the one used as an example throughout Date’s "An Introduction to -Database Systems" textbook. -

-

Returns the database as a set of three table arrays. If one argout is captured, the -tables are returned in the fields of a single struct. If multiple argouts are captured, the -tables are returned as three argouts with a single table in each, in the order (s, -p, sp). -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002eexamples_002ecoplot.html b/docs/devel/user-guide/html/tblish_002eexamples_002ecoplot.html deleted file mode 100644 index 36147755..00000000 --- a/docs/devel/user-guide/html/tblish_002eexamples_002ecoplot.html +++ /dev/null @@ -1,112 +0,0 @@ - - - - - - -tblish.examples.coplot (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.60 tblish.examples.coplot

-
-
Function: [fig, hax] = tblish.examples.coplot (tbl, xvar, yvar, gvar)
-
Function: [fig, hax] = tblish.examples.coplot (fig, tbl, xvar, yvar, gvar)
-
Function: [fig, hax] = tblish.examples.coplot (…, OptionName, OptionValue, …)
-
-

Conditioning plot. -

-

tblish.examples.coplot produces conditioning plots. This is a kind of plot that breaks up the -data into groups based on one or two grouping variables, and plots each group of data -in a separate subplot. -

-

tbl is a table containing the data to plot. -

-

xvar is the name of the table variable within tbl to use as the X values. -May be a variable name or index. -

-

yvar is the name of the table variable within tbl to use as the Y values. -May be a variable name or index. -

-

gvar is the name of the table variable or variables within tbl to use as -the grouping variable(s). The grouping variables split the data into groups based on -the distinct values in those variables. gvar may specify either one or two -grouping variables (but not more). It can be provided as a charvec, cellstr, or index -array. Records with a missing value for their grouping variable(s) are ignored. -

-

fig is the figure handle to plot into. If fig is not provided, a new figure -is created. -

-

Name/Value options: -

-
-
PlotFcn
-

The plotting function to use, supplied as a function handle. Defaults to @plot. -It must be a function that provides the signature fcn(hax, X, Y, …). -

-
PlotArgs
-

A cell array of arguments to pass in to the plotting function, following the hax, -x, and y arguments. -

-
- -

Returns: - fig – the figure handle it plotted into - hax – array of axes handles to all the axes for the subplots -

-
- - -
-
-
-

-Next: tblish.examples.plot_pairs, Previous: tblish.evalWithTableVars, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002eexamples_002eplot_005fpairs.html b/docs/devel/user-guide/html/tblish_002eexamples_002eplot_005fpairs.html deleted file mode 100644 index 7d42143a..00000000 --- a/docs/devel/user-guide/html/tblish_002eexamples_002eplot_005fpairs.html +++ /dev/null @@ -1,91 +0,0 @@ - - - - - - -tblish.examples.plot_pairs (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.61 tblish.examples.plot_pairs

-
-
Function: out = tblish.examples.plot_pairs (data)
-
Function: out = tblish.examples.plot_pairs (data, plot_type)
-
Function: out = tblish.examples.plot_pairs (fig, …)
-
-

Plot pairs of variables against each other. -

-

data is the data holding the variables to plot. It may be either a -table or a struct. Each variable or field in the table -or struct is considered to be one variable. Each must hold a vector, and -all the vectors of all the variables must be the same size. -

-

plot_type is a charvec indicating what plot type to do in each subplot. -("scatter" is the default.) Valid plot_type values are: -

-
-
"scatter"
-

A plain scatter plot. -

-
"smooth"
-

A scatter plot + fitted line, like R’s panel.smooth does. -

-
- -

fig is an optional figure handle to plot into. If omitted, a new -figure is created. -

-

Returns the created figure, if the output is captured. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002esizeof2.html b/docs/devel/user-guide/html/tblish_002esizeof2.html deleted file mode 100644 index 3f3baf60..00000000 --- a/docs/devel/user-guide/html/tblish_002esizeof2.html +++ /dev/null @@ -1,105 +0,0 @@ - - - - - - -tblish.sizeof2 (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.63 tblish.sizeof2

-
-
Function: out = tblish.sizeof2 (x)
-
-

Approximate size of an array in bytes, with object support. -

-

This is an alternative to Octave’s sizeof function that tries to provide -meaningful support for objects, including the classes defined in Tablicious. It is -named "sizeof2" instead of "sizeof" to avoid a "shadowing core function" warning -when loading Tablicious, because it seems that Octave does not consider packages -(namespaces) when detecting shadowed functions. -

-

This may be supplemented or replaced by sizeof override methods on Tablicious’s -classes. I’m not sure whether Octave’s sizeof supports extension by method -overrides, so I’m not doing that yet. If that happens, this sizeof2 function -will stick around in a deprecated state for a while, and it will respect those override -methods. -

-

For tables, this returns the sum of sizeof for all of its variables’ -arrays, plus the size of the VariableNames and any other metadata stored in obj. -

-

This is currently broken for some types, because its implementation is in transition -from overridden methods on Tablicious’s objects to a separate function. -

-

This is not supported, fully or at all, for all input types, but it has support -for the types defined in Tablicious, plus some Octave built-in types, and makes a -best effort at figuring out user-defined classdef objects. It currently does not -have extensibility support for customization by classdef classes, but that may be -added in the future, in which case its output may change significantly for classdef -objects in future releases. -

-

x is an array of any type. -

-

Returns a scalar numeric. Returns NaN for types that are known to not be supported, -instead of raising an error. Raises an error if it fails to determine the size of an -input of a type that it thought was supported. -

-

See also: sizeof -

-
- - -
-
-
-

-Next: tblish.table.grpstats, Previous: tblish.examples.SpDb, Up: API Alphabetically   [Contents]

-
- - - - - diff --git a/docs/devel/user-guide/html/tblish_002etable_002egrpstats.html b/docs/devel/user-guide/html/tblish_002etable_002egrpstats.html deleted file mode 100644 index c88c240d..00000000 --- a/docs/devel/user-guide/html/tblish_002etable_002egrpstats.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -tblish.table.grpstats (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.64 tblish.table.grpstats

-
-
Function: [out] = tblish.table.grpstats (tbl, groupvar)
-
Function: [out] = tblish.table.grpstats (…, 'DataVars', DataVars)
-
-

Statistics by group for a table array. -

-

This is a table-specific implementation of grpstats that works on table arrays. -It is supplied as a function in the +tblish package to avoid colliding with -the global grpstats function supplied by the Statistics Octave Forge package. -Depending on which version of the Statistics OF package you are using, it may or may -not support table inputs to its grpstats function. This function is supplied -as an alternative you can use in an environment where table arrays are not -supported by the grpstats that you have, though you need to make code changes -and call it as tblish.table.grpstats(tbl) instead of with a plain -grpstats(tbl). -

-

See also: table.groupby, table.findgroups, table.splitapply -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/timezones.html b/docs/devel/user-guide/html/timezones.html deleted file mode 100644 index 76a9495c..00000000 --- a/docs/devel/user-guide/html/timezones.html +++ /dev/null @@ -1,89 +0,0 @@ - - - - - - -timezones (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
-
-

-Next: , Previous: , Up: API Alphabetically   [Contents]

-
-
-

8.2.65 timezones

-
-
Function: out = timezones ()
-
Function: out = timezones (area)
-
-

List all the time zones defined on this system. -

-

This lists all the time zones that are defined in the IANA time zone database -used by this Octave. (On Linux and macOS, that will generally be the system -time zone database from /usr/share/zoneinfo. On Windows, it will be -the database redistributed with the Tablicious package. -

-

If the return is captured, the output is returned as a table if your Octave -has table support, or a struct if it does not. It will have fields/variables -containing column vectors: -

-
-
Name
-

The IANA zone name, as cellstr. -

-
Area
-

The geographical area the zone is in, as cellstr. -

-
- -

Compatibility note: Matlab also includes UTCOffset and DSTOffset fields in -the output; these are currently unimplemented. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/todatetime.html b/docs/devel/user-guide/html/todatetime.html deleted file mode 100644 index 01467b44..00000000 --- a/docs/devel/user-guide/html/todatetime.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -todatetime (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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8.2.66 todatetime

-
-
Function: out = todatetime (x)
-
-

Convert input to a Tablicious datetime array, with convenient interface. -

-

This is an alternative to the regular datetime constructor, with a signature -and conversion logic that Tablicious’s author likes better. -

-

This mainly exists because datetime’s constructor signature does not accept -datenums, and instead treats one-arg numeric inputs as datevecs. (For compatibility -with Matlab’s interface.) I think that’s less convenient: datenums seem to be -more common than datevecs in M-code, and it returns an object array that’s not the -same size as the input. -

-

Returns a datetime array whose size depends on the size and type of the input -array, but will generally be the same size as the array of strings or numerics -the input array "represents". -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/vartype.html b/docs/devel/user-guide/html/vartype.html deleted file mode 100644 index d5567011..00000000 --- a/docs/devel/user-guide/html/vartype.html +++ /dev/null @@ -1,78 +0,0 @@ - - - - - - -vartype (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-

8.2.67 vartype

-
-
Function: out = vartype (type)
-
-

Filter by variable type for use in suscripting. -

-

Creates an object that can be used for subscripting into the variables -dimension of a table and filtering on variable type. -

-

type is the name of a type as charvec. This may be anything that -the isa function accepts, or 'cellstr' to select cellstrs, -as determined by iscellstr. -

-

Returns an object of an opaque type. Don’t worry about what type it is; -just pass it into the second argument of a subscript into a table -object. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/vecfun.html b/docs/devel/user-guide/html/vecfun.html deleted file mode 100644 index efc345f7..00000000 --- a/docs/devel/user-guide/html/vecfun.html +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - -vecfun (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - - -
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-
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8.2.68 vecfun

-
-
Function: out = vecfun (fcn, x, dim)
-
-

Apply function to vectors in array along arbitrary dimension. -

-

This function is not implemented yet. -

-

Applies a given function to the vector slices of an N-dimensional array, where -those slices are along a given dimension. -

-

fcn is a function handle to apply. -

-

x is an array of arbitrary type which is to be sliced and passed -in to fcn. -

-

dim is the dimension along which the vector slices lay. -

-

Returns the collected output of the fcn calls, which will be -the same size as x, but not necessarily the same type. -

-
- - -
- - - - - diff --git a/docs/devel/user-guide/html/years.html b/docs/devel/user-guide/html/years.html deleted file mode 100644 index a7ac25d4..00000000 --- a/docs/devel/user-guide/html/years.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - - - -years (Tablicious v0.4.4-SNAPSHOT) - - - - - - - - - - - - - - - - - - -
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-

8.2.69 years

-
-
Function File: out = years (x)
-

Create a duration x years long, or get the years in a duration -x. -

-

If input is numeric, returns a duration array in units of fixed-length -years of 365.2425 days each. -

-

If input is a duration, converts the duration to a number of fixed-length -years as double. -

-

Note: years creates fixed-length years, which may not be what you want. -To create a duration of calendar years (which account for actual leap days), -use calyears. -

-

See calyears. -

- - - - - -
- - - - - diff --git a/docs/devel/user-guide/tablicious.html b/docs/devel/user-guide/tablicious.html deleted file mode 100644 index 4439b46e..00000000 --- a/docs/devel/user-guide/tablicious.html +++ /dev/null @@ -1,13092 +0,0 @@ - - - - - - -Tablicious v0.4.4-SNAPSHOT - - - - - - - - - - - - - - - - - - - - - - - -
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Tablicious for GNU Octave

- -

This manual is for Tablicious, version 0.4.4-SNAPSHOT. -

- - - -
-

Table of Contents

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1 Introduction

- -
-

Time is an illusion. Lunchtime doubly so. -

-
-
— Douglas Adams -
- -

This is the manual for the Tablicious package version 0.4.4-SNAPSHOT for GNU Octave. -

-

Tablicious provides somewhat-Matlab-compatible tabular data and date/time support for -GNU Octave. -This includes a table class with support for filtering and join operations; -datetime, duration, and related classes; -Missing Data support; string and categorical data types; -and other miscellaneous things. -

-

This document is a work in progress. You are invited to help improve it and -submit patches. -

-

Tablicious’s classes are designed to be convenient to use while still being efficient. -The data representations used by Tablicious are designed to be efficient and suitable -for working with large-ish data sets. A “large-ish” data set is one that can have -millions of elements or rows, but still fits in main computer memory. Tablicious’s main -relational and arithmetic operations are all implemented using vectorized -operations on primitive Octave data types. -

-

Tablicious was written by Andrew Janke <>. Support can be -found on the Tablicious project -GitHub page. -

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2 Getting Started

- -

The easiest way to obtain Tablicious is by using Octave’s pkg package manager. -To install the development prerelease of Tablicious, run this in Octave: -

-
-
pkg install https://github.com/apjanke/octave-tablicious/releases/download/v0.4.4-SNAPSHOT/tablicious-0.4.4-SNAPSHOT.tar.gz
-
- -

(Check the releases page at https://github.com/apjanke/octave-tablicious/releases to -find out what the actual latest release number is.) -

-

For development, you can obtain the source code for Tablicious from the project repo on GitHub at -https://github.com/apjanke/octave-tablicious. Make a local clone of the repo. -Then add the inst directory in the repo to your Octave path. -

- - -
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3 Table Representation

- -

Tablicious provides the table class for representing tabular data. -

-

A table is an array object that represents a tabular data structure. It holds -multiple named “variables”, each of which is a column vector, or a 2-D matrix whose -rows are read as records. -

-

A table is composed of multiple “variables”, each with a name, which all have -the same number of rows. (A table variable is like a “column” in SQL tables -or in R or Python/pandas dataframes. Whenever you read “variable” here, think -“column”.) Taken together, the i-th element or row of each variable compose -a single record or observation. -

-

Tables are good ways of arranging data if you have data that would otherwise be stored -in a few separate variables which all need to be kept in the same shape and order, -especially if you might want to do element-wise comparisons involving two or more of -those variables. That’s basically all a table is: it holds a collection of -variables, and makes sure they are all kept aligned and ordered in the same way. -

-

Tables are a lot like SQL tables or result sets, and are based on the same relational -algebra theory that SQL is. Many common, even powerful, SQL operations can be done -in Octave using table arrays. It’s like having your own in-memory SQL engine. -

- -
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3.1 Table Construction

- -

There are two main ways to construct a table array: build one up by combining -multiple variables together, or convert an existing tabular-organized array into a -table. -

-

To build an array from multiple variables, use the table(…) constructor, passing -in all of your variables as separate inputs. It takes any number of inputs. Each input -becomes a table variable in the new table object. If you pass your constructor -inputs directly from variables, it automatically picks up their names and uses them -as the table variable names. Otherwise, if you’re using more complex expressions, you’ll -need to supply the 'VariableNames' option. -

-

To convert a tabular-organized array of another type into a table, use the -conversion functions like array2table, struct2table and cell2table. -array2table and cell2table take each column of the input array and turn -it into a separate table variable in the resulting table. struct2table takes -the fields of a struct and puts them into table variables. -

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-
-

3.2 Tables vs SQL

- -

Here’s a table (ha!) of what SQL and relational algebar operations correspond to -what Octave table operations. -

-

In this table, t is a variable holding a table array, and ix is -some indexing expression. -

- - - - - - - - - - -
SQLRelationalOctave table
SELECTPROJECTsubsetvars, t(:,ix)
WHERERESTRICTsubsetrows, t(ix,:)
INNER JOINJOINinnerjoin
OUTER JOINOUTER JOINouterjoin
FROM table1, table2, …Cartesian productcartesian
GROUP BYSUMMARIZEgroupby
DISTINCT(automatic)unique(t)
- -

Note that there is one big difference between relational algebra and SQL & Octave -table: Relations in relational algebra are sets, not lists. -There are no duplicate rows in relational algebra, and there is no ordering. -So every operation there does an implicit DISTINCT/unique() on its -results, and there‘s no ORDER BY/sort(). This is not the case in SQL -or Octave table. -

-

Note for users coming from Matlab: Matlab does not provide a general groupby -function. Instead, you have to variously use rowfun, grpstats, -groupsummary, and manual code to accomplish “group by” operations. -

-

Note: I wrote this based on my understanding of relational algebra from reading -C. J. Date books. Other people’s understanding and terminology may differ. - apjanke -

- - -
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4 Date and Time Representation

- -

Tablicious provides the datetime class for representing points in time. -

-

There’s also duration and calendarDuration for representing -periods or durations of time. Like vector quantities along the time line, -as opposed to datetime being a point along the time line. -

- -
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4.1 datetime Class

- -

A datetime is an array object that represents points in time in the familiar -Gregorian calendar. -

-

This is an attempt to reproduce the functionality of Matlab’s datetime. It -also contains some Octave-specific extensions. -

-

The underlying representation is that of a datenum (a double -containing the number of days since the Matlab epoch), but encapsulating it in an -object provides several benefits: friendly human-readable display, type safety, -automatic type conversion, and time zone support. In addition to the underlying -datenum array, a datetime inclues an optional TimeZone property -indicating what time zone the datetimes are in. -

-

So, basically, a datetime is an object wrapper around a datenum array, -plus time zone support. -

- - -
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-
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4.1.1 Datenum Compatibility

- -

While the underlying data representation of datetime is compatible with -(in fact, identical to) that of datenums, you cannot directly combine them -via assignment, concatenation, or most arithmetic operations. -

-

This is because of the signature of the datetime constructor. When combining -objects and primitive types like double, the primitive type is promoted to an -object by calling the other object’s one-argument constructor on it. However, the -one-argument numeric-input consstructor for datetime does not accept datenums: -it interprets its input as datevecs instead. This is due to a design decision on -Matlab’s part; for compatibility, Octave does not alter that interface. -

-

To combine datetimes with datenums, you can convert the datenums to datetimes -by calling datetime.ofDatenum or datetime(x, 'ConvertFrom', 'datenum'), or you -can convert the datetimes to datenums by accessing its dnums field with -x.dnums. -

-

Examples: -

-
-
dt = datetime('2011-03-04')
-dn = datenum('2017-01-01')
-[dt dn]
-    ⇒ error: datenum: expected date vector containing [YEAR, MONTH, DAY, HOUR, MINUTE, SECOND]
-[dt datetime.ofDatenum(dn)]
-    ⇒ 04-Mar-2011   01-Jan-2017
-
- -

Also, if you have a zoned datetime, you can’t combine it with a datenum, because datenums -do not carry time zone information. -

- -
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4.2 Time Zones

- -

Tablicious has support for representing dates in time zones and for converting between time zones. -

-

A datetime may be "zoned" or "zoneless". A zoneless datetime does not have a time zone -associated with it. This is represented by an empty TimeZone property on the datetime -object. A zoneless datetime represents the local time in some unknown time zone, and assumes a -continuous time scale (no DST shifts). -

-

A zoned datetime is associated with a time zone. It is represented by having the time zone’s -IANA zone identifier (e.g. 'UTC' or 'America/New_York') in its TimeZone -property. A zoned datetime represents the local time in that time zone. -

-

By default, the datetime constructor creates unzoned datetimes. To -make a zoned datetime, either pass the 'TimeZone' option to the constructor, -or set the TimeZone property after object creation. Setting the TimeZone -property on a zoneless datetime declares that it’s a local time in that time zone. -Setting the TimeZone property on a zoned datetime turns it back into a -zoneless datetime without changing the local time it represents. -

-

You can tell a zoned from a zoneless time zone in the object display because the time zone -is included for zoned datetimes. -

-
-
% Create an unzoned datetime
-d = datetime('2011-03-04 06:00:00')
-    ⇒  04-Mar-2011 06:00:00
-
-% Create a zoned datetime
-d_ny = datetime('2011-03-04 06:00:00', 'TimeZone', 'America/New_York')
-    ⇒  04-Mar-2011 06:00:00 America/New_York
-% This is equivalent
-d_ny = datetime('2011-03-04 06:00:00');
-d_ny.TimeZone = 'America/New_York'
-    ⇒  04-Mar-2011 06:00:00 America/New_York
-
-% Convert it to Chicago time
-d_chi.TimeZone = 'America/Chicago'
-    ⇒  04-Mar-2011 05:00:00 America/Chicago
-
- -

When you combine two zoned datetimes via concatenation, assignment, or -arithmetic, if their time zones differ, they are converted to the time zone of -the left-hand input. -

-
-
d_ny = datetime('2011-03-04 06:00:00', 'TimeZone', 'America/New_York')
-d_la = datetime('2011-03-04 06:00:00', 'TimeZone', 'America/Los_Angeles')
-d_la - d_ny
-    ⇒ 03:00:00
-
- -

You cannot combine a zoned and an unzoned datetime. This results in an error -being raised. -

-
-

Warning: Normalization of "nonexistent" times (like between 02:00 and 03:00 on a "spring forward" -DST change day) is not implemented yet. The results of converting a zoneless local time -into a time zone where that local time did not exist are currently undefined. -

- - - -
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-
-

4.2.1 Defined Time Zones

- -

Tablicious’s time zone data is drawn from the IANA Time Zone Database, also known as the “Olson Database”. Tablicious includes a -copy of this database in its distribution so it can work on Windows, which does -not supply it like Unix systems do. -

-

You can use the timezones function to list the time zones known to Tablicious. These will be -all the time zones in the IANA database on your system (for Linux and macOS) or in the IANA -time zone database redistributed with Tablicious (for Windows). -

-
-

Note: The IANA Time Zone Database only covers dates from about the year 1880 to 2038. Converting -time zones for datetimes outside that range is currently unimplemented. (Tablicious -needs to add support for proleptic POSIX time zone rules, which are used to govern -behavior outside that date range.) -

- -
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-
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4.3 Durations

- - - -
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4.3.1 duration Class

- -

A duration represents a period of time in fixed-length seconds (or minutes, hours, -or whatever you want to measure it in.) -

-

A duration has a resolution of about a nanosecond for typical dates. The underlying -representation is a double representing the number of days elapsed, similar to a -datenum, except it’s interpreted as relative to some other reference point you provide, -instead of being relative to the Matlab/Octave epoch. -

-

You can add or subtract a duration to a datetime to get another datetime. -You can also add or subtract durations to each other. -

-
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4.3.2 calendarDuration Class

- -

A calendarDuration represents a period of time in variable-length calendar -components. For example, years and months can have varying numbers of days, and days -in time zones with Daylight Saving Time have varying numbers of hours. A -calendarDuration does arithmetic with "whole" calendar periods. -

-

calendarDurations and durations cannot be directly combined, because -they are not semantically equivalent. (This may be relaxed in the future to allow -durations to be interpreted as numbers of days when combined with -calendarDurations.) -

-
-
d = datetime('2011-03-04 00:00:00')
-    ⇒ 04-Mar-2011
-cdur = calendarDuration(1, 3, 0)
-    ⇒ 1y 3mo
-d2 = d + cdur
-    ⇒ 04-Jun-2012
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5 Validation Functions

- -

Tablicious provides several validation functions which can be used to check properties -of function arguments, variables, object properties, and other expressions. These can -be used to express invariants in your program and catch problems due to input errors, -incorrect function usage, or other bugs. -

-

These validation functions are named following the pattern mustBeXxx, where Xxx -is some property of the input it is testing. Validation functions may check the type, -size, or other aspects of their inputs. -

-

The most common place for validation functions to be used will probably be at the -beginning of functions, to check the input arguments and ensure that the contract of -the function is not being violated. If in the future Octave gains the ability to -declaratively express object property constraints, they will also be of use there. -

-

Be careful not to get too aggressive with the use of validation functions: while using -them can make sure invariants are followed and your program is correct, they also reduce -the code’s ability to make use of duck typing, reducing its flexibility. Whether you want -to make this trade-off is a design decision you will have to consider. -

-

When a validation function’s condition is violated, it raises an error that includes a -description of the violation in the error message. This message will include a label for -the input that describes what is being tested. By default, this label is initialized -with inputname(), so when you are calling a validator on a function argument or -variable, you will generally not need to supply a label. But if you’re calling it on -an object property or an expression more complex than a simple variable reference, the -validator cannot automatically detect the input name for use in the label. In this case, -make use of the optional trailing argument(s) to the functions to manually supply a -label for the value being tested. -

-
-
% Validation of a simple variable does not need a label
-mustBeScalar (x);
-% Validation of a field or property reference does need a label
-mustBeScalar (this.foo, 'this.foo');
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6 Example Data Sets

- -

Tablicious comes with several example data sets that you can use to explore how -its functions and objects work. These are accessed through the -tblish.datasets and tblish.dataset classes. -

-

To see a list of the available data sets, run tblish.datasets.list(). -Then to load one of the example data sets, run -tblish.datasets.load('examplename'). For example: -

-
-
tblish.datasets.list
-t = tblish.datasets.load('cupcake')
-
- -

You can also load it by calling tblish.dataset.<name>. This does -the same thing. For example: -

-
-
t = tblish.dataset.cupcake
-
- -

When you load a data set, it either returns all its data in a single variable -(if you capture it), or loads its data into one or more variables in your -workspace (if you call it with no outputs). -

-

Each example data set comes with help text that describes the data set and -provides examples of how to work with it. This help is found using the doc -command on tblish.dataset.<name>, where <name> is the name of -the data set. -

-

For example: -

-
-
doc tblish.dataset.cupcake
-
- -

(The command help tblish.dataset.<name> ought to work too, but it -currently doesn’t. This may be due to an issue with Octave’s help -command.) -

- -
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6.1 Data Sets from R

- -

Many of Tablicious’ example data sets are based on the example datasets -found in R’s datasets package. R can be found at -https://www.r-project.org/, and documentation for its datasets -is at https://rdrr.io/r/datasets/datasets-package.html. -Thanks to the R developers for producing the original data sets here. -

-

Tablicious’ examples’ code tries to replicate the R examples, so it can -be useful to compare the two of them if you are moving from one language to -another. -

-

Core Octave currently lacks some of the plotting features found in the R -examples, such as LOWESS smoothing and linear model characteristic plots, so -you will just find “TODO” placeholders for these in Tablicious’ example code. -

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7 Missing Functionality

- -

Tablicious is based on Matlab’s table and date/time APIs and supports some of -their major functionality. -But not all of it is implemented yet. The missing parts are currently: -

-
    -
  • File I/O like readtable() and writetable() -
  • summary() categorical -
  • Assignment to table variables using .-indexing -
  • timetable -
  • POSIX time zone support for years outside the IANA time zone database coverage -
  • Week-of-year (ISO calendar) calculations -
  • Various 'ConvertFrom' forms for datetime and duration constructors -
  • Support for LDML formatting for datetime -
  • Various functions: -
      -
    • between -
    • caldiff -
    • dateshift -
    • week -
    -
  • isdst, isweekend -
  • calendarDuration.split -
  • duration.Format support -
  • Moving window methods in fillmissing -
  • UTCOffset and DSTOffset fields in the output of timezones() -
  • Plotting support -
- -

It is the author’s hope that many these will be implemented some day. -

-

These areas of missing functionality are tracked on the Tablicious issue -tracker at https://github.com/apjanke/octave-tablicious/issues and -https://github.com/users/apjanke/projects/3. -

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8 API Reference

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8.1 API by Category

- -
-

8.1.1 Tables

-
-
table
-

Tabular data array containing multiple columnar variables. -

-

See table. -

-
array2table
-

Convert an array to a table. -

-

See array2table. -

-
cell2table
-

Convert a cell array to a table. -

-

See cell2table. -

-
struct2table
-

Convert struct to a table. -

-

See struct2table. -

-
tableOuterFillValue
-
- -

See tableOuterFillValue. -

-
vartype
-

Filter by variable type for use in suscripting. -

-

See vartype. -

-
istable
-

True if input is a ‘table’ array or other table-like type, false otherwise. -

-

See istable. -

-
istimetable
-

True if input is a ‘timetable’ array or other timetable-like type, false otherwise. -

-

See istimetable. -

-
istabular
-

True if input is eitehr a ‘table’ or ‘timetable’ array, or an object like them. -

-

See istabular. -

-
tblish.evalWithTableVars
-

Evaluate an expression against a table array’s variables. -

-

See tblish.evalWithTableVars. -

-
tblish.table.grpstats
-

Statistics by group for a table array. -

-

See tblish.table.grpstats. -

-
-
-
-

8.1.2 Strings and Categoricals

-
-
string
-

A string array of Unicode strings. -

-

See string. -

-
NaS
-

“Not-a-String". -

-

See NaS. -

-
contains
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Test if strings contain a pattern. -

-

See contains. -

-
dispstrs
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Display strings for array. -

-

See dispstrs. -

-
categorical
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Categorical variable array. -

-

See categorical. -

-
iscategorical
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True if input is a ‘categorical’ array, false otherwise. -

-

See iscategorical. -

-
NaC
-

“Not-a-Categorical". -

-

See NaC. -

-
discretize
-

Group data into discrete bins or categories. -

-

See discretize. -

-
-
-
-

8.1.3 Dates and Times

-
-
datetime
-

Represents points in time using the Gregorian calendar. -

-

See datetime. -

-
NaT
-

“Not-a-Time”. -

-

See NaT. -

-
todatetime
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Convert input to a Tablicious datetime array, with convenient interface. -

-

See todatetime. -

-
localdate
-

Represents a complete day using the Gregorian calendar. -

-

See localdate. -

-
isdatetime
-

True if input is a ‘datetime’ array, false otherwise. -

-

See isdatetime. -

-
calendarDuration
-

Durations of time using variable-length calendar periods, such as days, months, and years, which may vary in length over time. -

-

See calendarDuration. -

-
iscalendarduration
-

True if input is a ‘calendarDuration’ array, false otherwise. -

-

See iscalendarduration. -

-
calmonths
-

Create a ‘calendarDuration’ that is a given number of calendar months long. -

-

See calmonths. -

-
calyears
-

Construct a ‘calendarDuration’ a given number of years long. -

-

See calyears. -

-
days
-

Duration in days. -

-

See days. -

-
duration
-

Represents durations or periods of time as an amount of fixed-length time (i.e. -

-

See duration. -

-
hours
-

Create a ‘duration’ X hours long, or get the hours in a ‘duration’ X. -

-

See hours. -

-
isduration
-

True if input is a ‘duration’ array, false otherwise. -

-

See isduration. -

-
milliseconds
-

Create a ‘duration’ X milliseconds long, or get the milliseconds in a ‘duration’ X. -

-

See milliseconds. -

-
minutes
-

Create a ‘duration’ X hours long, or get the hours in a ‘duration’ X. -

-

See minutes. -

-
seconds
-

Create a ‘duration’ X seconds long, or get the seconds in a ‘duration’ X. -

-

See seconds. -

-
timezones
-

List all the time zones defined on this system. -

-

See timezones. -

-
years
-

Create a ‘duration’ X years long, or get the years in a ‘duration’ X. -

-

See years. -

-
-
-
-

8.1.4 Missing Data

-
-
missing
-

Generic auto-converting missing value. -

-

See missing. -

-
isnanny
-

Test if elements are NaN or NaN-like -

-

See isnanny. -

-
eqn
-

Determine element-wise equality, treating NaNs as equal -

-

See eqn. -

-
-
-
-

8.1.5 Validation Functions

-
-
mustBeA
-
- -

See mustBeA. -

-
mustBeCellstr
-
- -

See mustBeCellstr. -

-
mustBeCharvec
-
- -

See mustBeCharvec. -

-
mustBeFinite
-
- -

See mustBeFinite. -

-
mustBeInteger
-
- -

See mustBeInteger. -

-
mustBeMember
-
- -

See mustBeMember. -

-
mustBeNonempty
-
- -

See mustBeNonempty. -

-
mustBeNumeric
-
- -

See mustBeNumeric. -

-
mustBeReal
-
- -

See mustBeReal. -

-
mustBeSameSize
-
- -

See mustBeSameSize. -

-
mustBeScalar
-
- -

See mustBeScalar. -

-
mustBeScalarLogical
-
- -

See mustBeScalarLogical. -

-
mustBeVector
-
- -

See mustBeVector. -

-
-
-
-

8.1.6 Miscellaneous

-
-
colvecfun
-

Apply a function to column vectors in array. -

-

See colvecfun. -

-
dispstrs
-

Display strings for array. -

-

See dispstrs. -

-
head
-

Get first K rows of an array. -

-

See head. -

-
isfile
-
- -

See isfile. -

-
isfolder
-
- -

See isfolder. -

-
pp
-

Alias for prettyprint, for interactive use. -

-

See pp. -

-
scalarexpand
-

Expand scalar inputs to match size of non-scalar inputs. -

-

See scalarexpand. -

-
size2str
-

Format an array size for display. -

-

See size2str. -

-
splitapply
-

Split data into groups and apply function. -

-

See splitapply. -

-
tail
-

Get last K rows of an array. -

-

See tail. -

-
vecfun
-

Apply function to vectors in array along arbitrary dimension. -

-

See vecfun. -

-
tblish.sizeof2
-

Approximate size of an array in bytes, with object support. -

-

See tblish.sizeof2. -

-
-
-
-

8.1.7 Example Datasets

-
-
tblish.datasets
-

Example dataset collection. -

-

See tblish.datasets. -

-
tblish.dataset
-

The ‘tblish.dataset’ class provides convenient access to the various datasets included with Tablicious. -

-

See tblish.dataset. -

-
-
-
-

8.1.8 Example Code

-
-
tblish.examples.coplot
-

Conditioning plot. -

-

See tblish.examples.coplot. -

-
tblish.examples.plot_pairs
-

Plot pairs of variables against each other. -

-

See tblish.examples.plot_pairs. -

-
tblish.examples.SpDb
-

The classic Suppliers-Parts example database. -

-

See tblish.examples.SpDb. -

-
- -
-
-
-
-
-

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-
-

8.2 API Alphabetically

- - -
-
-
-

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-
-

8.2.1 array2table

-
-
Function: out = array2table (c)
-
Function: out = array2table (…, 'VariableNames', VariableNames)
-
Function: out = array2table (…, 'RowNames', RowNames)
-
-

Convert an array to a table. -

-

Converts a 2-D array to a table, with columns in the array becoming variables in -the output table. This is typically used on numeric arrays, but it can -be applied to any type of array. -

-

You may not want to use this on cell arrays, though, because you will -end up with a table that has all its variables of type cell. If you use -cell2table instead, columns of the cell array which can be -condensed into primitive arrays will be. With array2table, they -won’t be. -

-

See also: cell2table, table, struct2table -

-
- - -
-
-
-
-

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-
-

8.2.2 calendarDuration

-
-
Class: calendarDuration
-
-

Durations of time using variable-length calendar periods, such as days, -months, and years, which may vary in length over time. (For example, a -calendar month may have 28, 30, or 31 days.) -

-
- -
-
Instance Variable of calendarDuration: char Sign
-
-

The sign (1 or -1) of this duration, which indicates whether it is a -positive or negative span of time. -

-
- -
-
Instance Variable of calendarDuration: char Years
-
-

The number of whole calendar years in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Months
-
-

The number of whole calendar months in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Days
-
-

The number of whole calendar days in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Hours
-
-

The number of whole hours in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Minutes
-
-

The number of whole minutes in this duration. Must be integer-valued. -

-
- -
-
Instance Variable of calendarDuration: char Seconds
-
-

The number of seconds in this duration. May contain fractional values. -

-
- -
-
Instance Variable of calendarDuration: char Format
-
-

The format to display this calendarDuration in. Currently unsupported. -

-

This is a single value that applies to the whole array. -

-
- - - -
-
-
-

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-
-

8.2.2.1 calendarDuration.calendarDuration

- -
-
Constructor: obj = calendarDuration ()
-
-

Constructs a new scalar calendarDuration of zero elapsed time. -

-
- -
-
Constructor: obj = calendarDuration (Y, M, D)
-
Constructor: obj = calendarDuration (Y, M, D, H, MI, S)
-
-

Constructs new calendarDuration arrays based on input values. -

-
- -
-
-
-
-

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-
-

8.2.2.2 calendarDuration.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.2.3 calendarDuration.ismissing

- -
-
Method: out = ismissing (obj)
-
-

True if input elements are missing. -

-

This is equivalent to ismissing. -

-

Returns logical array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.2.4 calendarDuration.isnan

- -
-
Method: out = isnan (obj)
-
-

True if input elements are NaN. -

-

This is equivalent to ismissing, and is provided for compatibility -and polymorphic programming purposes. -

-

Returns logical array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.2.5 calendarDuration.minus

- -
-
Method: out = times (A, B)
-
-

Subtraction: Subtracts one calendarDuration from another. -

-

Returns a calendarDuration. -

-
- -
-
-
-
-

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-
-

8.2.2.6 calendarDuration.plus

- -
-
Method: out = plus (A, B)
-
-

Addition: add two calendarDurations. -

-

All the calendar elements (properties) of the two inputs are added -together. No normalization is done across the elements, aside from -the normalization of NaNs. -

-

If B is numeric, it is converted to a calendarDuration -using calendarDuration.ofDays. -

-

Returns a calendarDuration. -

-
- -
-
-
-
-

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-
-

8.2.2.7 calendarDuration.times

- -
-
Method: out = times (obj, B)
-
-

Multiplication: Multiplies a calendarDuration by a numeric factor. -

-

Returns a calendarDuration. -

-
- -
-
-
-
-

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-
-

8.2.2.8 calendarDuration.uminus

- -
-
Method: out = uminus (obj)
-
-

Unary minus. Negates the sign of obj. -

-
- -
-
-
-
-
-

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-
-

8.2.3 calmonths

-
-
Function File: out = calmonths (x)
-

Create a calendarDuration that is a given number of calendar months -long. -

-

Input x is a numeric array specifying the number of calendar months. -

-

This is a shorthand alternative to calling the calendarDuration -constructor with calendarDuration(0, x, 0). -

-

Returns a new calendarDuration object of the same size as x. -

-

See calendarDuration. -

-
- - -
-
-
-
-

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-
-

8.2.4 calyears

-
-
Function: out = calyears (x)
-
-

Construct a calendarDuration a given number of years long. -

-

This is a shorthand for calling calendarDuration(x, 0, 0). -

-

See calendarDuration. -

-
- - -
-
-
-
-

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-
-

8.2.5 categorical

-
-
Class: categorical
-
-

Categorical variable array. -

-

A categorical array represents an array of values of a categorical -variable. Each categorical array stores the element values along -with a list of the categories, and indicators of whether the categories -are ordinal (that is, they have a meaningful mathematical ordering), and -whether the set of categories is protected (preventing new categories -from being added to the array). -

-

In addition to the categories defined in the array, a categorical array -may have elements of "undefined" value. This is not considered a -category; rather, it is the absence of any known value. It is -analagous to a NaN value. -

-

This class is not fully implemented yet. Missing stuff: -

-
    -
  • gt, ge, lt, le -
  • Ordinal support in general -
  • countcats -
  • summary - -
- -
- -
-
Instance Variable of categorical: uint16 code
-
-

The numeric codes of the array element values. These are indexes into the -cats category list. -

-

This is a planar property. -

-
- -
-
Instance Variable of categorical: logical tfMissing
-
-

A logical mask indicating whether each element of the array is missing -(that is, undefined). -

-

This is a planar property. -

-
- -
-
Instance Variable of categorical: cellstr cats
-
-

The names of the categories in this array. This is the list into which -the code values are indexes. -

-
- -
-
Instance Variable of categorical: scalar_logical isOrdinal
-
-

A scalar logical indicating whether the categories in this array have an -ordinal relationship. -

-
- - - -
-
-
-

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-
-

8.2.5.1 categorical.addcats

- -
-
Method: out = addcats (obj, newcats)
-
-

Add categories to categorical array. -

-

Adds the specified categories to obj, without changing any of -its values. -

-

newcats is a cellstr listing the category names to add to -obj. -

-
- -
-
-
-
-

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-
-

8.2.5.2 categorical.categorical

- -
-
Constructor: obj = categorical ()
-
-

Constructs a new scalar categorical whose value is undefined. -

-
- -
-
Constructor: obj = categorical (vals)
-
Constructor: obj = categorical (vals, valueset)
-
Constructor: obj = categorical (vals, valueset, category_names)
-
Constructor: obj = categorical (…, 'Ordinal', Ordinal)
-
Constructor: obj = categorical (…, 'Protected', Protected)
-
-

Constructs a new categorical array from the given values. -

-

vals is the array of values to convert to categoricals. -

-

valueset is the set of all values from which vals is drawn. -If omitted, it defaults to the unique values in vals. -

-

category_names is a list of category names corresponding to -valueset. If omitted, it defaults to valueset, converted -to strings. -

-

Ordinal is a logical indicating whether the category values in -obj have a numeric ordering relationship. Defaults to false. -

-

Protected indicates whether obj should be protected, which -prevents the addition of new categories to the array. Defaults to -false. -

-
- -
-
-
-
-

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-
-

8.2.5.3 categorical.categories

- -
-
Method: out = categories (obj)
-
-

Get a list of the categories in obj. -

-

Gets a list of the categories in obj, identified by their -category names. -

-

Returns a cellstr column vector. -

-
- -
-
-
-
-

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-
-

8.2.5.4 categorical.cellstr

- -
-
Method: out = cellstr (obj)
-
-

Convert to cellstr. -

-

Converts obj to a cellstr array. The strings will be the -category names for corresponding values, or '' for undefined -values. -

-

Returns a cellstr array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.5 categorical.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Display strings. -

-

Gets display strings for each element in obj. The display strings are -either the category string, or '<undefined>' for undefined values. -

-

Returns a cellstr array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.6 categorical.double

- -
-
Method: out = double (obj)
-
-

Convert to double array, by getting the underlying code values. -

-

Converts obj to a string array. The doubles will be the -underlying numeric code values of obj, or NaN for -undefined values. -

-

The numeric code values of two different categorical arrays do -*not* necessarily correspond to the same string values, and can -*not* be meaningfully compared for equality or ordering. -

-

Returns a double array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.7 categorical.iscategory

- -
-
Method: out = iscategory (obj, catnames)
-
-

Test whether input is a category on a categorical array. -

-

catnames is a cellstr listing the category names to check against -obj. -

-

Returns a logical array the same size as catnames. -

-
- -
-
-
-
-

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-
-

8.2.5.8 categorical.ismissing

- -
-
Method: out = ismissing (obj)
-
-

Test whether elements are missing. -

-

For categorical arrays, undefined elements are considered to be -missing. -

-

Returns a logical array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.9 categorical.isnanny

- -
-
Method: out = isnanny (obj)
-
-

Test whethere elements are NaN-ish. -

-

Checks where each element in obj is NaN-ish. For categorical -arrays, undefined values are considered NaN-ish; any other -value is not. -

-

Returns a logical array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.10 categorical.isordinal

- -
-
Method: out = isordinal (obj)
-
-

Whether obj is ordinal. -

-

Returns true if obj is ordinal (as determined by its -IsOrdinal property), and false otherwise. -

-
- -
-
-
-
-

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-
-

8.2.5.11 categorical.isundefined

- -
-
Method: out = isundefined (obj)
-
-

Test whether elements are undefined. -

-

Checks whether each element in obj is undefined. "Undefined" is -a special value defined by categorical. It is equivalent to -a NaN or a missing value. -

-

Returns a logical array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.12 categorical.mergecats

- -
-
Method: out = mergecats (obj, oldcats)
-
Method: out = mergecats (obj, oldcats, newcat)
-
-

Merge multiple categories. -

-

Merges the categories oldcats into a single category. If newcat -is specified, that new category is added if necessary, and all of oldcats -are merged into it. newcat must be an existing category in obj if -obj is ordinal. -

-

If newcat is not provided, all of odcats are merged into -oldcats{1}. -

-
- -
-
-
-
-

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-
-

8.2.5.13 categorical.missing

- -
-
Static Method: out = categorical.missing ()
-
Static Method: out = categorical.missing (sz)
-
-

Create an array of missing (undefined) categoricals. -

-

Creates a categorical array whose elements are all missing (<undefined>). -

-

This is a convenience alias for categorical.undefined, so you can call -it generically. It returns strictly the same results as calling -categorical.undefined with the same arguments. -

-

Returns a categorical array. -

-

See also: categorical.undefined -

-
- -
-
-
-
-

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-
-

8.2.5.14 categorical.removecats

- -
-
Method: out = removecats (obj)
-
-

Removes all unused categories from obj. This is equivalent to -out = squeezecats (obj). -

-
- -
-
Method: out = removecats (obj, oldcats)
-
-

Remove categories from categorical array. -

-

Removes the specified categories from obj. Elements of obj -whose values belonged to those categories are replaced with undefined. -

-

newcats is a cellstr listing the category names to add to -obj. -

-
- -
-
-
-
-

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-
-

8.2.5.15 categorical.renamecats

- -
-
Method: out = renamecats (obj, newcats)
-
Method: out = renamecats (obj, oldcats, newcats)
-
-

Rename categories. -

-

Renames some or all of the categories in obj, without changing -any of its values. -

-
- -
-
-
-
-

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-
-

8.2.5.16 categorical.reordercats

- -
-
Method: out = reordercats (obj)
-
Method: out = reordercats (obj, newcats)
-
-

Reorder categories. -

-

Reorders the categories in obj to match newcats. -

-

newcats is a cellstr that must be a reordering of obj’s existing -category list. If newcats is not supplied, sorts the categories -in alphabetical order. -

-
- -
-
-
-
-

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-
-

8.2.5.17 categorical.setcats

- -
-
Method: out = setcats (obj, newcats)
-
-

Set categories for categorical array. -

-

Sets the categories to use for obj. If any current categories -are absent from the newcats list, current values of those -categories become undefined. -

-
- -
-
-
-
-

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-
-

8.2.5.18 categorical.squeezecats

- -
-
Method: out = squeezecats (obj)
-
-

Remove unused categories. -

-

Removes all categories which have no corresponding values in obj’s -elements. -

-

This is currently unimplemented. -

-
- -
-
-
-
-

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-
-

8.2.5.19 categorical.string

- -
-
Method: out = string (obj)
-
-

Convert to string array. -

-

Converts obj to a string array. The strings will be the -category names for corresponding values, or <missing> for undefined -values. -

-

Returns a string array the same size as obj. -

-
- -
-
-
-
-

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-
-

8.2.5.20 categorical.summary

- -
-
Method: summary (obj)
-
-

Display summary of array’s values. -

-

Displays a summary of the values in this categorical array. The output -may contain info like the number of categories, number of undefined values, -and frequency of each category. -

-
- -
-
-
-
-

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-
-

8.2.5.21 categorical.undefined

- -
-
Static Method: out = categorical.undefined ()
-
Static Method: out = categorical.undefined (sz)
-
-

Create an array of undefined categoricals. -

-

Creates a categorical array whose elements are all <undefined>. -

-

sz is the size of the array to create. If omitted or empty, creates -a scalar. -

-

Returns a categorical array. -

-

See also: categorical.missing -

-
- -
-
-
-
-
-

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-
-

8.2.6 cell2table

-
-
Function: out = cell2table (c)
-
Function: out = cell2table (…, 'VariableNames', VariableNames)
-
Function: out = cell2table (…, 'RowNames', RowNames)
-
-

Convert a cell array to a table. -

-

Converts a 2-dimensional cell matrix into a table. Each column in the -input c becomes a variable in out. For columns that contain -all scalar values of cat-compatible types, they are “popped out” -of their cells and condensed into a homogeneous array of the contained -type. -

-

See also: array2table, table, struct2table -

-
- - -
-
-
-
-

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-
-

8.2.7 colvecfun

-
-
Function: out = colvecfun (fcn, x)
-
-

Apply a function to column vectors in array. -

-

Applies the given function fcn to each column vector in the -array x, by iterating over the indexes along all dimensions except -dimension 1. Collects the function return values in an output array. -

-

fcn must be a function which takes a column vector and returns a column -vector of the same size. It does not have to return the same type as -x. -

-

Returns the result of applying fcn to each column in x, all concatenated -together in the same shape as x. -

-
- - -
-
-
-
-

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-
-

8.2.8 contains

-
-
Function: out = colvecfun (str, pattern)
-
Function: out = colvecfun (…, 'IgnoreCase', IgnoreCase)
-
-

Test if strings contain a pattern. -

-

Tests whether the given strings contain the given pattern(s). -

-

str (char, cellstr, or string) is a list of strings to compare against -pattern. -

-

pattern (char, cellstr, or string) is a list of patterns to match. These are -literal plain string patterns, not regex patterns. If more than one pattern -is supplied, the return value is true if the string matched any of them. -

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Returns a logical array of the same size as the string array represented by -str. -

-

See also: startsWith, endsWith -

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8.2.9 datetime

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Class: datetime
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Represents points in time using the Gregorian calendar. -

-

The underlying values are doubles representing the number of days since the -Matlab epoch of "January 0, year 0". This has a precision of around nanoseconds -for typical times. -

-

A datetime array is an array of date/time values, with each element -holding a complete date/time. The overall array may also have a TimeZone and a -Format associated with it, which apply to all elements in the array. -

- -

This is an attempt to reproduce the functionality of Matlab’s datetime. It -also contains some Octave-specific extensions. -

-
- -
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Instance Variable of datetime: double dnums
-
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The underlying datenums that represent the points in time. These are always in UTC. -

-

This is a planar property: the size of dnums is the same size as the -containing datetime array object. -

-
- -
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Instance Variable of datetime: char TimeZone
-
-

The time zone this datetime array is in. Empty if this does not have a -time zone associated with it (“unzoned”). The name of an IANA time zone if -this does. -

-

Setting the TimeZone of a datetime array changes the time zone it -is presented in for strings and broken-down times, but does not change the -underlying UTC times that its elements represent. -

-
- -
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Instance Variable of datetime: char Format
-
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The format to display this datetime in. Currently unsupported. -

-
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8.2.9.1 datetime.convertDatenumTimeZone

- -
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Static Method: out = datetime.convertDatenumTimeZone (dnum, fromZoneId, toZoneId)
-
-

Convert a datenum from one time zone to another. -

-

dnum is a datenum array to convert. -

-

fromZoneId is a charvec containing the IANA Time Zone identifier for -the time zone to convert from. -

-

toZoneId is a charvec containing the IANA Time Zone identifier for -the time zone to convert to. -

-

Returns a datenum array the same size as dnum. -

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8.2.9.2 datetime.datenum

- -
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Method: out = datenum (obj)
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Convert this to datenums that represent the same local time -

-

Returns double array of same size as this. -

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8.2.9.3 datetime.datenum2posix

- -
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Static Method: out = datetime.datenum2posix (dnums)
-
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Converts Octave datenums to Unix dates. -

-

The input datenums are assumed to be in UTC. -

-

Returns a double, which may have fractional seconds. -

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8.2.9.4 datetime.datestr

- -
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Method: out = datestr (obj)
-
Method: out = datestr (obj, …)
-
-

Format obj as date strings. Supports all arguments that core Octave’s -datestr does. -

-

Returns date strings as a 2-D char array. -

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8.2.9.5 datetime.datestrs

- -
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Method: out = datestrs (obj)
-
Method: out = datestrs (obj, …)
-
-

Format obj as date strings, returning cellstr. -Supports all arguments that core Octave’s datestr does. -

-

Returns a cellstr array the same size as obj. -

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8.2.9.6 datetime.datestruct

- -
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Method: out = datestruct (obj)
-
-

Converts this to a "datestruct" broken-down time structure. -

-

A "datestruct" is a format of struct that Tablicious came up with. It is a scalar -struct with fields Year, Month, Day, Hour, Minute, and Second, each containing -a double array the same size as the date array it represents. -

-

The values in the returned broken-down time are those of the local time -in this’ defined time zone, if it has one. -

-

Returns a struct with fields Year, Month, Day, Hour, Minute, and Second. -Each field contains a double array of the same size as this. -

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8.2.9.7 datetime.datetime

- -
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Constructor: obj = datetime ()
-
-

Constructs a new scalar datetime containing the current local time, with -no time zone attached. -

-
- -
-
Constructor: obj = datetime (datevec)
-
Constructor: obj = datetime (datestrs)
-
Constructor: obj = datetime (in, 'ConvertFrom', inType)
-
Constructor: obj = datetime (Y, M, D, H, MI, S)
-
Constructor: obj = datetime (Y, M, D, H, MI, MS)
-
Constructor: obj = datetime (…, 'Format', Format, 'InputFormat', InputFormat, 'Locale', InputLocale, 'PivotYear', PivotYear, 'TimeZone', TimeZone)
-
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Constructs a new datetime array based on input values. -

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8.2.9.8 datetime.diff

- -
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Method: out = diff (obj)
-
-

Differences between elements. -

-

Computes the difference between each successive element in obj, as a -duration. -

-

Returns a duration array the same size as obj. -

-
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8.2.9.9 datetime.dispstrs

- -
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Method: out = dispstrs (obj)
-
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Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
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8.2.9.10 datetime.eq

- -
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Method: out = eq (A, B)
-
-

True if A is equal to B. This defines the == operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

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8.2.9.11 datetime.ge

- -
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Method: out = ge (A, B)
-
-

True if A is greater than or equal to B. This defines the >= operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

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8.2.9.12 datetime.gmtime

- -
-
Method: out = gmtime (obj)
-
-

Convert to TM_STRUCT structure in UTC time. -

-

Converts obj to a TM_STRUCT style structure array. The result is in -UTC time. If obj is unzoned, it is assumed to be in UTC time. -

-

Returns a struct array in TM_STRUCT style. -

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8.2.9.13 datetime.gt

- -
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Method: out = gt (A, B)
-
-

True if A is greater than B. This defines the > operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

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8.2.9.14 datetime.hms

- -
-
Method: [h, m, s] = hms (obj)
-
-

Get the Hour, Minute, and Second components of a obj. -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns double arrays the same size as obj. -

-
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8.2.9.15 datetime.isbetween

- -
-
Method: out = isbetween (obj, lower, upper)
-
-

Tests whether the elements of obj are between lower and -upper. -

-

All inputs are implicitly converted to datetime arrays, and are subject -to scalar expansion. -

-

Returns a logical array the same size as the scalar expansion of the inputs. -

-
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8.2.9.16 datetime.isnan

- -
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Method: out = isnan (obj)
-
-

True if input elements are NaT. This is an alias for isnat -to support type compatibility and polymorphic programming. -

-

Returns logical array the same size as obj. -

-
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8.2.9.17 datetime.isnat

- -
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Method: out = isnat (obj)
-
-

True if input elements are NaT. -

-

Returns logical array the same size as obj. -

-
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8.2.9.18 datetime.le

- -
-
Method: out = le (A, B)
-
-

True if A is less than or equal toB. This defines the <= operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

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8.2.9.19 datetime.linspace

- -
-
Method: out = linspace (from, to, n)
-
-

Linearly-spaced values in date/time space. -

-

Constructs a vector of datetimes that represent linearly spaced points -starting at from and going up to to, with n points in the -vector. -

-

from and to are implicitly converted to datetimes. -

-

n is how many points to use. If omitted, defaults to 100. -

-

Returns an n-long datetime vector. -

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8.2.9.20 datetime.localtime

- -
-
Method: out = localtime (obj)
-
-

Convert to TM_STRUCT structure in UTC time. -

-

Converts obj to a TM_STRUCT style structure array. The result is a -local time in the system default time zone. Note that the system default -time zone is always used, regardless of what TimeZone is set on obj. -

-

If obj is unzoned, it is assumed to be in UTC time. -

-

Returns a struct array in TM_STRUCT style. -

-

Example: -

-
dt = datetime;
-dt.TimeZone = datetime.SystemTimeZone;
-tm_struct = localtime (dt);
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8.2.9.21 datetime.lt

- -
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Method: out = lt (A, B)
-
-

True if A is less than B. This defines the < operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

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8.2.9.22 datetime.minus

- -
-
Method: out = minus (A, B)
-
-

Subtraction (- operator). Subtracts a duration, -calendarDuration or numeric B from a datetime A, -or subtracts two datetimes from each other. -

-

If both inputs are datetime, then the output is a duration. -Otherwise, the output is a datetime. -

-

Numeric B inputs are implicitly converted to duration using -duration.ofDays. -

-

Returns an array the same size as A. -

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8.2.9.23 datetime.NaT

- -
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Static Method: out = datetime.NaT ()
-
Static Method: out = datetime.NaT (sz)
-
-

“Not-a-Time”: Creates NaT-valued arrays. -

-

Constructs a new datetime array of all NaT values of -the given size. If no input sz is given, the result is a scalar NaT. -

-

NaT is the datetime equivalent of NaN. It represents a missing -or invalid value. NaT values never compare equal to, greater than, or less -than any value, including other NaTs. Doing arithmetic with a NaT and -any other value results in a NaT. -

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8.2.9.24 datetime.ne

- -
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Method: out = ne (A, B)
-
-

True if A is not equal to B. This defines the != operator -for datetimes. -

-

Inputs are implicitly converted to datetime using the one-arg -constructor or conversion method. -

-

Returns logical array the same size as obj. -

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8.2.9.25 datetime.ofDatenum

- -
-
Static Method: obj = datetime.ofDatenum (dnums)
-
-

Converts a datenum array to a datetime array. -

-

Returns an unzoned datetime array of the same size as the input. -

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8.2.9.26 datetime.ofDatestruct

- -
-
Static Method: obj = datetime.ofDatestruct (dstruct)
-
-

Converts a datestruct to a datetime array. -

-

A datestruct is a special struct format used by Tablicious that has fields -Year, Month, Day, Hour, Minute, and Second. It is not a standard Octave datatype. -

-

Returns an unzoned datetime array. -

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8.2.9.27 datetime.plus

- -
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Method: out = plus (A, B)
-
-

Addition (+ operator). Adds a duration, calendarDuration, -or numeric B to a datetime A. -

-

A must be a datetime. -

-

Numeric B inputs are implicitly converted to duration using -duration.ofDays. -

-

Returns datetime array the same size as A. -

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8.2.9.28 datetime.posix2datenum

- -
-
Static Method: dnums = datetime.posix2datenum (pdates)
-
-

Converts POSIX (Unix) times to datenums -

-

Pdates (numeric) is an array of POSIX dates. A POSIX date is the number -of seconds since January 1, 1970 UTC, excluding leap seconds. The output -is implicitly in UTC. -

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8.2.9.29 datetime.posixtime

- -
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Method: out = posixtime (obj)
-
-

Converts this to POSIX time values (seconds since the Unix epoch) -

-

Converts this to POSIX time values that represent the same time. The -returned values will be doubles that may include fractional second values. -POSIX times are, by definition, in UTC. -

-

Returns double array of same size as this. -

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8.2.9.30 datetime.proxyKeys

- -
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Method: [keysA, keysB] = proxyKeys (a, b)
-
-

Computes proxy key values for two datetime arrays. Proxy keys are numeric -values whose rows have the same equivalence relationships as the elements of -the inputs. -

-

This is primarily for Tablicious’s internal use; users will typically not need to call -it or know how it works. -

-

Returns two 2-D numeric matrices of size n-by-k, where n is the number of elements -in the corresponding input. -

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8.2.9.31 datetime.timeofday

- -
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Method: out = timeofday (obj)
-
-

Get the time of day (elapsed time since midnight). -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns a duration array the same size as obj. -

-
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8.2.9.32 datetime.week

- -
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Method: out = week (obj)
-
-

Get the week of the year. -

-

This method is unimplemented. -

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8.2.9.33 datetime.ymd

- -
-
Method: [y, m, d] = ymd (obj)
-
-

Get the Year, Month, and Day components of obj. -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns double arrays the same size as obj. -

-
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8.2.9.34 datetime.ymdhms

- -
-
Method: [y, m, d, h, mi, s] = ymdhms (obj)
-
-

Get the Year, Month, Day, Hour, Minute, and Second components of a obj. -

-

For zoned datetimes, these will be local times in the associated time zone. -

-

Returns double arrays the same size as obj. -

-
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8.2.10 days

-
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Function: out = days (x)
-
-

Duration in days. -

-

If x is numeric, then out is a duration array in units -of fixed-length 24-hour days, with the same size as x. -

-

If x is a duration, then returns a double array the same -size as x indicating the number of fixed-length days that each duration -is. -

-
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8.2.11 discretize

-
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Function: [Y, E] = discretize (X, n)
-
Function: [Y, E] = discretize (X, edges)
-
Function: [Y, E] = discretize (X, dur)
-
Function: [Y, E] = discretize (…, 'categorical')
-
Function: [Y, E] = discretize (…, 'IncludedEdge', IncludedEdge)
-
-

Group data into discrete bins or categories. -

-

n is the number of bins to group the values into. -

-

edges is an array of edge values defining the bins. -

-

dur is a duration value indicating the length of time of each -bin. -

-

If 'categorical' is specified, the resulting values are a categorical -array instead of a numeric array of bin indexes. -

-

Returns: - Y - the bin index or category of each value from X - E - the list of bin edge values -

-
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8.2.12 dispstrs

-
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Function: out = dispstrs (x)
-
-

Display strings for array. -

-

Gets the display strings for each element of x. The display strings -should be short, one-line, human-presentable strings describing the -value of that element. -

-

The default implementation of dispstrs can accept input of any -type, and has decent implementations for Octave’s standard built-in types, -but will have opaque displays for most user-defined objects. -

-

This is a polymorphic method that user-defined classes may override -with their own custom display that is more informative. -

-

Returns a cell array the same size as x. -

-
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8.2.13 duration

-
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Class: duration
-
-

Represents durations or periods of time as an amount of fixed-length -time (i.e. fixed-length seconds). It does not care about calendar things -like months and days that vary in length over time. -

-

This is an attempt to reproduce the functionality of Matlab’s duration. It -also contains some Octave-specific extensions. -

-

Duration values are stored as double numbers of days, so they are an -approximate type. In display functions, by default, they are displayed with -millisecond precision, but their actual precision is closer to nanoseconds -for typical times. -

-
- -
-
Instance Variable of duration: double days
-
-

The underlying datenums that represent the durations, as number of (whole and -fractional) days. These are uniform 24-hour days, not calendar days. -

-

This is a planar property: the size of days is the same size as the -containing duration array object. -

-
- -
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Instance Variable of duration: char Format
-
-

The format to display this duration in. Currently unsupported. -

-
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8.2.13.1 duration.char

- -
-
Method: out = char (obj)
-
-

Convert to char. The contents of the strings will be the same as -returned by dispstrs. -

-

This is primarily a convenience method for use on scalar objs. -

-

Returns a 2-D char array with one row per element in obj. -

-
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8.2.13.2 duration.dispstrs

- -
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Method: out = duration (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
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8.2.13.3 duration.hours

- -
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Method: out = hours (obj)
-
-

Equivalent number of hours. -

-

Gets the number of fixed-length 60-minute hours that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
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8.2.13.4 duration.linspace

- -
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Method: out = linspace (from, to, n)
-
-

Linearly-spaced values in time duration space. -

-

Constructs a vector of durations that represent linearly spaced points -starting at from and going up to to, with n points in the -vector. -

-

from and to are implicitly converted to durations. -

-

n is how many points to use. If omitted, defaults to 100. -

-

Returns an n-long datetime vector. -

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8.2.13.5 duration.milliseconds

- -
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Method: out = milliseconds (obj)
-
-

Equivalent number of milliseconds. -

-

Gets the number of milliseconds that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
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8.2.13.6 duration.minutes

- -
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Method: out = minutes (obj)
-
-

Equivalent number of minutes. -

-

Gets the number of fixed-length 60-second minutes that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
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8.2.13.7 duration.ofDays

- -
-
Static Method: obj = duration.ofDays (dnums)
-
-

Converts a double array representing durations in whole and fractional days -to a duration array. This is the method that is used for implicit conversion -of numerics in many cases. -

-

Returns a duration array of the same size as the input. -

-
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8.2.13.8 duration.seconds

- -
-
Method: out = seconds (obj)
-
-

Equivalent number of seconds. -

-

Gets the number of seconds that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
- -
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8.2.13.9 duration.years

- -
-
Method: out = years (obj)
-
-

Equivalent number of years. -

-

Gets the number of fixed-length 365.2425-day years that is equivalent -to this duration. -

-

Returns double array the same size as obj. -

-
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8.2.14 eqn

-
-
Function: out = eqn (A, B)
-
-

Determine element-wise equality, treating NaNs as equal -

-

out = eqn (A, B) -

-

eqn is just like eq (the function that implements the -== operator), except -that it considers NaN and NaN-like values to be equal. This is the element-wise -equivalent of isequaln. -

-

eqn uses isnanny to test for NaN and NaN-like values, -which means that NaNs and NaTs are considered to be NaN-like, and -string arrays’ “missing” and categorical objects’ “undefined” values -are considered equal, because they are NaN-ish. -

-

Developer’s note: the name “eqn” is a little unfortunate, -because “eqn” could also be an abbreviation for “equation”. But this -name follows the isequaln pattern of appending an “n” to the -corresponding non-NaN-equivocating function. -

-

See also: eq, isequaln, isnanny -

-
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8.2.16 hours

-
-
Function File: out = hours (x)
-

Create a duration x hours long, or get the hours in a duration -x. -

-

If input is numeric, returns a duration array that is that many hours in -time. -

-

If input is a duration, converts the duration to a number of hours. -

-

Returns an array the same size as x. -

- - -
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8.2.17 iscalendarduration

-
-
Function: out = iscalendarduration (x)
-
-

True if input is a calendarDuration array, false otherwise. -

-

Respects iscalendarduration override methods on user-defined classes, even if -they do not inherit from calendarDuration or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
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8.2.18 iscategorical

-
-
Function: out = iscategorical (x)
-
-

True if input is a categorical array, false otherwise. -

-

Respects iscategorical override methods on user-defined classes, even if -they do not inherit from categorical or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
- - -
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8.2.19 isdatetime

-
-
Function: out = isdatetime (x)
-
-

True if input is a datetime array, false otherwise. -

-

Respects isdatetime override methods on user-defined classes, even if -they do not inherit from datetime or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
- - -
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8.2.20 isduration

-
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Function: out = isduration (x)
-
-

True if input is a duration array, false otherwise. -

-

Respects isduration override methods on user-defined classes, even if -they do not inherit from duration or were known to Tablicious at -authoring time. -

-

Returns a scalar logical. -

-
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8.2.21 isfile

-

Not documented -

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8.2.22 isfolder

-

Not documented -

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8.2.23 isnanny

-
-
Function: out = isnanny (X)
-
-

Test if elements are NaN or NaN-like -

-

Tests if input elements are NaN, NaT, or otherwise NaN-like. This is true -if isnan() or isnat() returns true, and is false for types that do not support -isnan() or isnat(). -

-

This function only exists because: -

-
    -
  1. Matlab decided to call their NaN values for datetime “NaT” instead, and -test for them with a different “isnat()” function, and -
  2. isnan() errors out for some types that do not support isnan(), like cells. -
- -

isnanny() smooths over those differences so you can call it polymorphically on -any input type. Hopefully. -

-

Under normal operation, isnanny() should not throw an error for any type or -value of input. -

-

See also: ismissing, isnan, isnat, eqn, isequaln -

-
- - -
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8.2.24 istable

-
-
Function: out = istable (x)
-
-

True if input is a table array or other table-like type, false -otherwise. -

-

Respects istable override methods on user-defined classes, even if -they do not inherit from table or were known to Tablicious at -authoring time. -

-

User-defined classes should only override istable to return true if -they conform to the table public interface. That interface is not -well-defined or documented yet, so maybe you don’t want to do that yet. -

-

Returns a scalar logical. -

-
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8.2.25 istabular

-
-
Function: out = istabular (x)
-
-

True if input is eitehr a table or timetable array, or an object -like them. -

-

Respects istable and istimetable override methods on user-defined -classes, even if they do not inherit from table or were known to Tablicious -at authoring time. -

-

Returns a scalar logical. -

-
- - -
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-
-

8.2.26 istimetable

-
-
Function: out = istimetable (x)
-
-

True if input is a timetable array or other timetable-like type, false -otherwise. -

-

Respects istimetable override methods on user-defined classes, even if -they do not inherit from table or were known to Tablicious at -authoring time. -

-

User-defined classes should only override istimetable to return true if -they conform to the table public interface. That interface is not -well-defined or documented yet, so maybe you don’t want to do that yet. -

-

Returns a scalar logical. -

-
- - -
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-
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8.2.27 localdate

-
-
Class: localdate
-
-

Represents a complete day using the Gregorian calendar. -

-

This class is useful for indexing daily-granularity data or representing -time periods that cover an entire day in local time somewhere. The major -purpose of this class is "type safety", to prevent time-of-day values -from sneaking in to data sets that should be daily only. As a secondary -benefit, this uses less memory than datetimes. -

-
- -
-
Instance Variable of localdate: double dnums
-
-

The underlying datenum values that represent the days. The datenums are at -the midnight that is at the start of the day it represents. -

-

These are doubles, but -they are restricted to be integer-valued, so they represent complete days, with -no time-of-day component. -

-
- -
-
Instance Variable of localdate: char Format
-
-

The format to display this localdate in. Currently unsupported. -

-
- - - -
-
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-

8.2.27.1 localdate.datenum

- -
-
Method: out = datenum (obj)
-
-

Convert this to datenums that represent midnight on obj’s days. -

-

Returns double array of same size as this. -

-
- -
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8.2.27.2 localdate.datestr

- -
-
Method: out = datestr (obj)
-
Method: out = datestr (obj, …)
-
-

Format obj as date strings. Supports all arguments that core Octave’s -datestr does. -

-

Returns date strings as a 2-D char array. -

-
- -
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8.2.27.3 localdate.datestrs

- -
-
Method: out = datestrs (obj)
-
Method: out = datestrs (obj, …)
-
-

Format obj as date strings, returning cellstr. -Supports all arguments that core Octave’s datestr does. -

-

Returns a cellstr array the same size as obj. -

-
- -
-
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-
-

8.2.27.4 localdate.datestruct

- -
-
Method: out = datestruct (obj)
-
-

Converts this to a “datestruct” broken-down time structure. -

-

A “datestruct” is a format of struct that Tablicious came up with. It is a scalar -struct with fields Year, Month, and Day, each containing -a double array the same size as the date array it represents. This format -differs from the “datestruct” used by datetime in that it lacks -Hour, Minute, and Second components. This is done for efficiency. -

-

The values in the returned broken-down time are those of the local time -in obj’s defined time zone, if it has one. -

-

Returns a struct with fields Year, Month, and Day. -Each field contains a double array of the same size as this. -

-
- -
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8.2.27.5 localdate.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Get display strings for each element of obj. -

-

Returns a cellstr the same size as obj. -

-
- -
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8.2.27.6 localdate.isnan

- -
-
Method: out = isnan (obj)
-
-

True if input elements are NaT. This is an alias for isnat -to support type compatibility and polymorphic programming. -

-

Returns logical array the same size as obj. -

-
- -
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8.2.27.7 localdate.isnat

- -
-
Method: out = isnat (obj)
-
-

True if input elements are NaT. -

-

Returns logical array the same size as obj. -

-
- -
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8.2.27.8 localdate.localdate

- -
-
Constructor: obj = localdate ()
-
-

Constructs a new scalar localdate containing the current local date. -

-
- -
-
Constructor: obj = localdate (datenums)
-
Constructor: obj = localdate (datestrs)
-
Constructor: obj = localdate (Y, M, D)
-
Constructor: obj = localdate (…, 'Format', Format)
-
-

Constructs a new localdate array based on input values. -

-
- -
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-

8.2.27.9 localdate.NaT

- -
-
Static Method: out = localdate.NaT ()
-
Static Method: out = localdate.NaT (sz)
-
-

“Not-a-Time”: Creates NaT-valued arrays. -

-

Constructs a new datetime array of all NaT values of -the given size. If no input sz is given, the result is a scalar NaT. -

-

NaT is the datetime equivalent of NaN. It represents a missing -or invalid value. NaT values never compare equal to, greater than, or less -than any value, including other NaTs. Doing arithmetic with a NaT and -any other value results in a NaT. -

-

This static method is provided because the global NaT function creates -datetimes, not localdates -

-
- -
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8.2.27.10 localdate.posixtime

- -
-
Method: out = posixtime (obj)
-
-

Converts this to POSIX time values for midnight of obj’s days. -

-

Converts this to POSIX time values that represent the same date. The -returned values will be doubles that will not include fractional second values. -The times returned are those of midnight UTC on obj’s days. -

-

Returns double array of same size as this. -

-
- -
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-

8.2.27.11 localdate.ymd

- -
-
Method: [y, m, d] = ymd (obj)
-
-

Get the Year, Month, and Day components of obj. -

-

Returns double arrays the same size as obj. -

-
- -
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8.2.28 milliseconds

-
-
Function File: out = milliseconds (x)
-

Create a duration x milliseconds long, or get the milliseconds in a duration -x. -

-

If input is numeric, returns a duration array that is that many milliseconds in -time. -

-

If input is a duration, converts the duration to a number of milliseconds. -

-

Returns an array the same size as x. -

- - -
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8.2.29 minutes

-
-
Function File: out = hours (x)
-

Create a duration x hours long, or get the hours in a duration -x. -

-
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8.2.30 missing

-
-
Class: missing
-
-

Generic auto-converting missing value. -

-

missing is a generic missing value that auto-converts to other -types. -

-

A missing array indicates a missing value, of no particular type. It auto- -converts to other types when it is combined with them via concatenation or -other array combination operations. -

-

This class is currently EXPERIMENTAL. Use at your own risk. -

-

Note: This class does not actually work for assignment. If you do this: -

-
-
  x = 1:5
-  x(3) = missing
-
- -

It’s supposed to work, but I can’t figure out how to do this in a normal -classdef object, because there doesn’t seem to be any function that’s implicitly -called for type conversion in that assignment. Darn it. -

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8.2.30.1 missing.dispstrs

- -
-
Method: out = dispstrs (obj)
-
-

Display strings. -

-

Gets display strings for each element in obj. -

-

For missing, the display strings are always '<missing>'. -

-

Returns a cellstr the same size as obj. -

-
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8.2.30.2 missing.ismissing

- -
-
Method: out = ismissing (obj)
-
-

Test whether elements are missing values. -

-

ismissing is always true for missing arrays. -

-

Returns a logical array the same size as obj. -

-
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8.2.30.3 missing.isnan

- -
-
Method: out = isnan (obj)
-
-

Test whether elements are NaN. -

-

isnan is always true for missing arrays. -

-

Returns a logical array the same size as obj. -

-
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8.2.30.4 missing.isnanny

- -
-
Method: out = isnanny (obj)
-
-

Test whether elements are NaN-like. -

-

isnanny is always true for missing arrays. -

-

Returns a logical array the same size as obj. -

-
- -
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8.2.30.5 missing.missing

- -
-
Constructor: obj = missing ()
-
-

Constructs a scalar missing array. -

-

The constructor takes no arguments, since there’s only one -missing value. -

-
- -
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8.2.31 mustBeA

-

Not documented -

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8.2.32 mustBeCellstr

-

Not documented -

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8.2.33 mustBeCharvec

-

Not documented -

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8.2.34 mustBeFinite

-

Not documented -

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8.2.35 mustBeInteger

-

Not documented -

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8.2.36 mustBeMember

-

Not documented -

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8.2.37 mustBeNonempty

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Not documented -

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8.2.38 mustBeNumeric

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Not documented -

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8.2.39 mustBeReal

-

Not documented -

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8.2.40 mustBeSameSize

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Not documented -

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8.2.41 mustBeScalar

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Not documented -

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8.2.42 mustBeScalarLogical

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Not documented -

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8.2.43 mustBeVector

-

Not documented -

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8.2.44 NaC

-
-
Function: out = NaC ()
-
Function: out = NaC (sz)
-
-

“Not-a-Categorical". Creates missing-valued categorical arrays. -

-

Returns a new categorical array of all missing values of -the given size. If no input sz is given, the result is a scalar missing -categorical. -

-

NaC is the categorical equivalent of NaN or NaT. It -represents a missing, invalid, or null value. NaC values never compare -equal to any value, including other NaCs. -

-

NaC is a convenience function which is strictly a wrapper around -categorical.undefined and returns the same results, but may be more convenient -to type and/or more readable, especially in array expressions with several values. -

-

See also: categorical.undefined -

-
- - -
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8.2.45 NaS

-
-
Function: out = NaS ()
-
Function: out = NaS (sz)
-
-

“Not-a-String". Creates missing-valued string arrays. -

-

Returns a new string array of all missing values of -the given size. If no input sz is given, the result is a scalar missing -string. -

-

NaS is the string equivalent of NaN or NaT. It -represents a missing, invalid, or null value. NaS values never compare -equal to any value, including other NaSs. -

-

NaS is a convenience function which is strictly a wrapper around -string.missing and returns the same results, but may be more convenient -to type and/or more readable, especially in array expressions with several values. -

-

See also: string.missing -

-
- - -
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8.2.46 NaT

-
-
Function: out = NaT ()
-
Function: out = NaT (sz)
-
-

“Not-a-Time”. Creates missing-valued datetime arrays. -

-

Constructs a new datetime array of all NaT values of -the given size. If no input sz is given, the result is a scalar NaT. -

-

NaT is the datetime equivalent of NaN. It represents a missing -or invalid value. NaT values never compare equal to, greater than, or less -than any value, including other NaTs. Doing arithmetic with a NaT and -any other value results in a NaT. -

-

NaT currently cannot create NaT arrays of type localdate. To do that, -use localdate.NaT instead. -

-
- - -
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8.2.47 pp

-
-
Function: pp (X)
-
Function: pp (A, B, C, …)
-
Function: pp ('A', 'B', 'C', …)
-
Function: pp A B C …
-
-

Alias for prettyprint, for interactive use. -

-

This is an alias for prettyprint(), with additional name-conversion magic. -

-

If you pass in a char, instead of pretty-printing that directly, it will -grab and pretty-print the variable of that name from the caller’s workspace. -This is so you can conveniently run it from the command line. -

-
- - -
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8.2.48 scalarexpand

-
-
Function: [out1, out2, …, outN] = scalarexpand (x1, x2, …, xN)
-
-

Expand scalar inputs to match size of non-scalar inputs. -

-

Expands each scalar input argument to match the size of the non-scalar -input arguments, and returns the expanded values in the corresponding -output arguments. repmat is used to do the expansion. -

-

Works on any input types that support size, isscalar, and -repmat. -

-

It is an error if any of the non-scalar inputs are not the same size as -all of the other non-scalar inputs. -

-

Returns as many output arguments as there were input arguments. -

-

Examples: -

-
-
x1 = rand(3);
-x2 = 42;
-x3 = magic(3);
-[x1, x2, x3] = scalarexpand (x1, x2, x3)
-
- -
- - -
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-

8.2.49 seconds

-
-
Function File: out = seconds (x)
-

Create a duration x seconds long, or get the seconds in a duration -x. -

-

If input is numeric, returns a duration array that is that many seconds in -time. -

-

If input is a duration, converts the duration to a number of seconds. -

-

Returns an array the same size as x. -

- - -
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-

8.2.50 size2str

-
-
Function: out = size2str (sz)
-
-

Format an array size for display. -

-

Formats the given array size sz as a string for human-readable -display. It will be in the format “d1-by-d2-...-by-dN”, for the N -dimensions represented by sz. -

-

sz is an array of dimension sizes, in the format returned by -the size function. -

-

Returns a charvec. -

-

Examples: -

-
str = size2str (size (magic (4)))
-    ⇒ str = 4-by-4
-
- -
- - -
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8.2.51 splitapply

-
-
Function: out = splitapply (func, X, G)
-
Function: out = splitapply (func, X1, …, XN, G)
-
Function: [Y1, …, YM] = splitapply (…)
-
-

Split data into groups and apply function. -

-

func is a function handle to call on each group of inputs in turn. -

-

X, X1, …, XN are the input variables that are split into -groups for the function calls. If X is a table, then its contained -variables are “popped out” and considered to be the X1 … XN -input variables. -

-

G is the grouping variable vector. It contains a list of integers that -identify which group each element of the X input variables belongs to. -NaNs in G mean that element is ignored. -

-

Vertically concatenates the function outputs for each of the groups and returns them in -as many variables as you capture. -

-

Returns the concatenated outputs of applying func to each group. -

-

See also: table.groupby, table.splitapply -

-
- - -
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-

8.2.52 string

-
-
Class: string
-
-

A string array of Unicode strings. -

-

A string array is an array of strings, where each array element is a single -string. -

-

The string class represents strings, where: -

    -
  • Each element of a string array is a single string - -
  • A single string is a 1-dimensional row vector of Unicode characters - -
  • Those characters are encoded in UTF-8 - -
      -
    • This last bit depends on the fact that Octave chars are UTF-8 now -
    - -
- -

This should correspond pretty well to what people think of as strings, and -is pretty compatible with people’s typical notion of strings in Octave. -

-

String arrays also have a special “missing” value, that is like the string -equivalent of NaN for doubles or “undefined” for categoricals, or SQL NULL. -

-

This is a slightly higher-level and more strongly-typed way of representing -strings than cellstrs are. (A cellstr array is of type cell, not a text- -specific type, and allows assignment of non-string data into it.) -

-

Be aware that while string arrays interconvert with Octave chars and cellstrs, -Octave char elements represent 8-bit UTF-8 code units, not Unicode code points. -

-

This class really serves three roles: -

-
    -
  1. It is a type-safe object wrapper around Octave’s base primitive character types. - -
  2. It adds ismissing() semantics. - -
  3. And it introduces Unicode support. - -
- -

Not clear whether it’s a good fit to have the Unicode support wrapped -up in this. Maybe it should just be a simple object wrapper -wrapper, and defer Unicode semantics to when core Octave adopts them for -char and cellstr. On the other hand, because Octave chars are UTF-8, not UCS-2, -some methods like strlength() and reverse() are just going to be wrong if -they delegate straight to chars. -

-

“Missing” string values work like NaNs. They are never considered equal, -less than, or greater to any other string, including other missing strings. -This applies to set membership and other equivalence tests. -

-

TODO: Need to decide how far to go with Unicode semantics, and how much to -just make this an object wrapper over cellstr and defer to Octave’s existing -char/string-handling functions. -

-

TODO: demote_strings should probably be static or global, so that other -functions can use it to hack themselves into being string-aware. -

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8.2.52.1 string.cell

- -
-
Method: out = cell (obj)
-
-

Convert to cell array. -

-

Converts this to a cell, which will be a cellstr. Missing values are -converted to ''. -

-

This method returns the same values as cellstr(obj); it is just provided -for interface compatibility purposes. -

-

Returns a cell array of the same size as obj. -

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8.2.52.2 string.cellstr

- -
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Method: out = cellstr (obj)
-
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Convert to cellstr. -

-

Converts obj to a cellstr. Missing values are converted to ''. -

-

Returns a cellstr array of the same size as obj. -

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8.2.52.3 string.char

- -
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Method: out = char (obj)
-
-

Convert to char array. -

-

Converts obj to a 2-D char array. It will have as many rows -as obj has elements. -

-

It is an error to convert missing-valued string arrays to -char. (NOTE: This may change in the future; it may be more appropriate) -to convert them to space-padded empty strings.) -

-

Returns 2-D char array. -

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8.2.52.4 string.cmp

- -
-
Method: [out, outA, outB] = cmp (A, B)
-
-

Value ordering comparison, returning -1/0/+1. -

-

Compares each element of A and B, returning for -each element i whether A(i) was less than (-1), -equal to (0), or greater than (1) the corresponding B(i). -

-

TODO: What to do about missing values? Should missings sort to the end -(preserving total ordering over the full domain), or should their comparisons -result in a fourth "null"/"undef" return value, probably represented by NaN? -FIXME: The current implementation does not handle missings. -

-

Returns a numeric array out of the same size as the scalar expansion -of A and B. Each value in it will be -1, 0, or 1. -

-

Also returns scalar-expanded copies of A and B as outA and -outB, as a programming convenience. -

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8.2.52.5 string.decode

- -
-
Static Method: out = string.decode (bytes, charsetName)
-
-

Decode encoded text from bytes. -

-

Decodes the given encoded text in bytes according to the specified -encoding, given by charsetName. -

-

Returns a scalar string. -

-

See also: string.encode -

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8.2.52.6 string.dispstrs

- -
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Method: out = dispstrs (obj)
-
-

Display strings for array elements. -

-

Gets display strings for all the elements in obj. These display strings -will either be the string contents of the element, enclosed in "...", -and with CR/LF characters replaced with '\r' and '\n' escape sequences, -or "<missing>" for missing values. -

-

Returns a cellstr of the same size as obj. -

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8.2.52.7 string.empty

- -
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Function: out = empty (sz)
-
-

Get an empty string array of a specified size. -

-

The argument sz is optional. If supplied, it is a numeric size -array whose product must be zero. If omitted, it defaults to [0 0]. -

-

The size may also be supplied as multiple arguments containing -scalar numerics. -

-

Returns an empty string array of the requested size. -

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8.2.52.8 string.encode

- -
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Method: out = encode (obj, charsetName)
-
-

Encode string in a given character encoding. -

-

obj must be scalar. -

-

charsetName (charvec) is the name of a character encoding. -(TODO: Document what determines the set of valid encoding names.) -

-

Returns the encoded string as a uint8 vector. -

-

See also: string.decode. -

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8.2.52.9 string.erase

- -
-
Method: out = erase (obj, match)
-
-

Erase matching substring. -

-

Erases the substrings in obj which match the match input. -

-

Returns a string array of the same size as obj. -

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8.2.52.10 string.ismissing

- -
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Method: out = ismissing (obj)
-
-

Test whether array elements are missing. -

-

For string arrays, only the special “missing” value is -considered missing. Empty strings are not considered missing, -the way they are with cellstrs. -

-

Returns a logical array the same size as obj. -

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8.2.52.11 string.isnanny

- -
-
Method: out = isnanny (obj)
-
-

Test whether array elements are NaN-like. -

-

Missing values are considered nannish; any other string value is not. -

-

Returns a logical array of the same size as obj. -

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8.2.52.12 string.isstring

- -
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Method: out = isstring (obj)
-
-

Test if input is a string array. -

-

isstring is always true for string inputs. -

-

Returns a scalar logical. -

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8.2.52.13 string.lower

- -
-
Method: out = lower (obj)
-
-

Convert to lower case. -

-

Converts all the characters in all the strings in obj to lower case. -

-

This currently delegates to Octave’s own lower() function to -do the conversion, so whatever character class handling it has, this -has. -

-

Returns a string array of the same size as obj. -

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8.2.52.14 string.missing

- -
-
Static Method: out = string.missing (sz)
-
-

Missing string value. -

-

Creates a string array of all-missing values of the specified size sz. -If sz is omitted, creates a scalar missing string. -

-

Returns a string array of size sz or [1 1]. -

-

See also: NaS -

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8.2.52.15 string.plus

- -
-
Method: out = plus (a, b)
-
-

String concatenation via plus operator. -

-

Concatenates the two input arrays, string-wise. Inputs that are -not string arrays are converted to string arrays. -

-

The concatenation is done by calling ‘strcat‘ on the inputs, and has the -same behavior. -

-

Returns a string array the same size as the scalar expansion of its -inputs. -

-

See also: string.strcat -

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8.2.52.16 string.regexprep

- -
-
Method: out = regexprep (obj, pat, repstr)
-
Method: out = regexprep (…, varargin)
-
-

Replace based on regular expression matching. -

-

Replaces all the substrings matching a given regexp pattern pat with -the given replacement text repstr. -

-

Returns a string array of the same size as obj. -

-
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8.2.52.17 string.reverse

- -
-
Method: out = reverse (obj)
-
-

Reverse string, character-wise. -

-

Reverses the characters in each string in obj. This operates on -Unicode characters (code points), not on bytes, so it is guaranteed -to produce valid UTF-8 as its output. -

-

Returns a string array the same size as obj. -

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8.2.52.18 string.reverse_bytes

- -
-
Method: out = reverse_bytes (obj)
-
-

Reverse string, byte-wise. -

-

Reverses the bytes in each string in obj. This operates on bytes -(Unicode code units), not characters. -

-

This may well produce invalid strings as a result, because reversing a -UTF-8 byte sequence does not necessarily produce another valid UTF-8 -byte sequence. -

-

You probably do not want to use this method. You probably want to use -string.reverse instead. -

-

Returns a string array the same size as obj. -

-

See also: string.reverse -

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8.2.52.19 string.strcat

- -
-
Method: out = strcat (varargin)
-
-

String concatenation. -

-

Concatenates the corresponding elements of all the input arrays, -string-wise. Inputs that are not string arrays are converted to -string arrays. -

-

The semantics of concatenating missing strings with non-missing -strings has not been determined yet. -

-

Returns a string array the same size as the scalar expansion of its -inputs. -

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8.2.52.20 string.strcmp

- -
-
Method: out = strcmp (A, B)
-
-

String comparison. -

-

Tests whether each element in A is exactly equal to the corresponding -element in B. Missing values are not considered equal to each other. -

-

This does the same comparison as A == B, but is not polymorphic. -Generally, there is no reason to use strcmp instead of == -or eq on string arrays, unless you want to be compatible with -cellstr inputs as well. -

-

Returns logical array the size of the scalar expansion of A and B. -

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8.2.52.21 string.strfind

- -
-
Method: out = strfind (obj, pattern)
-
Method: out = strfind (…, varargin)
-
-

Find pattern in string. -

-

Finds the locations where pattern occurs in the strings of obj. -

-

TODO: It’s ambiguous whether a scalar this should result in a numeric -out or a cell array out. -

-

Returns either an index vector, or a cell array of index vectors. -

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8.2.52.22 string.string

- -
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Constructor: obj = string ()
-
Constructor: obj = string (in)
-
-

Construct a new string array. -

-

The zero-argument constructor creates a new scalar string array -whose value is the empty string. -

-

The other constructors construct a new string array by converting -various types of inputs. -

-
    -
  • chars and cellstrs are converted via cellstr() -
  • numerics are converted via num2str() -
  • datetimes are converted via datestr() -
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8.2.52.23 string.strlength

- -
-
Method: out = strlength (obj)
-
-

String length in characters (actually, UTF-16 code units). -

-

Gets the length of each string, counted in UTF-16 code units. In most -cases, this is the same as the number of characters. The exception is for -characters outside the Unicode Basic Multilingual Plane, which are -represented with UTF-16 surrogate pairs, and thus will count as 2 characters -each. -

-

The reason this method counts UTF-16 code units, instead of Unicode code -points (true characters), is for Matlab compatibility. -

-

This is the string length method you probably want to use, -not strlength_bytes. -

-

Returns double array of the same size as obj. Returns NaNs for missing -strings. -

-

See also: string.strlength_bytes -

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8.2.52.24 string.strlength_bytes

- -
-
Method: out = strlength_bytes (obj)
-
-

String length in bytes. -

-

Gets the length of each string in obj, counted in Unicode UTF-8 -code units (bytes). This is the same as numel(str) for the corresponding -Octave char vector for each string, but may not be what you -actually want to use. You may want strlength instead. -

-

Returns double array of the same size as obj. Returns NaNs for missing -strings. -

-

See also: string.strlength -

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8.2.52.25 string.strrep

- -
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Method: out = strrep (obj, match, replacement)
-
Method: out = strrep (…, varargin)
-
-

Replace occurrences of pattern with other string. -

-

Replaces matching substrings in obj with a given replacement string. -

-

varargin is passed along to the core Octave strrep function. This -supports whatever options it does. -TODO: Maybe document what those options are. -

-

Returns a string array of the same size as obj. -

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8.2.52.26 string.upper

- -
-
Method: out = upper (obj)
-
-

Convert to upper case. -

-

Converts all the characters in all the strings in obj to upper case. -

-

This currently delegates to Octave’s own upper() function to -do the conversion, so whatever character class handling it has, this -has. -

-

Returns a string array of the same size as obj. -

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8.2.53 struct2table

-
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Function: out = struct2table (s)
-
Function: out = struct2table (…, 'AsArray', AsArray)
-
-

Convert struct to a table. -

-

Converts the input struct s to a table. -

-

s may be a scalar struct or a nonscalar struct array. -

-

The AsArray option is not implemented yet. -

-

Returns a table. -

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8.2.54 table

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-
Class: table
-
-

Tabular data array containing multiple columnar variables. -

-

A table is a tabular data structure that collects multiple parallel -named variables. -Each variable is treated like a column. (Possibly a multi-columned column, if -that makes sense.) -The types of variables may be heterogeneous. -

-

A table object is like an SQL table or resultset, or a relation, or a -DataFrame in R or Pandas. -

-

A table is an array in itself: its size is nrows-by-nvariables, -and you can index along the rows and variables by indexing into the table -along dimensions 1 and 2. -

-

A note on accessing properties of a table array: Because .-indexing is -used to access the variables inside the array, it can’t also be directly used -to access properties as well. Instead, do t.Properties.<property> for -a table t. That will give you a property instead of a variable. -(And due to this mechanism, it will cause problems if you have a table -with a variable named Properties. Try to avoid that.) -

-

WARNING ABOUT HANDLE CLASSES IN TABLE VARIABLES -

-

Using a handle class in a table variable (column) value may lead to unpredictable -and buggy behavior! A handle class array is a reference type, and it holds shared -mutable state, which may be shared with references to it in other table arrays or -outside the table array. The table class makes no guarantees about what it will -or will not do internally with arrays that are held in table variables, and any -operation on a table holding handle arrays may have unpredictable and undesirable -side effects. These side effects may change between versions of Tablicious. -

-

We currently recommend that you do not use handle classes in table variables. It -may be okay to use handle classes *inside* cells or other non-handle composite types -that are used in table variables, but this hasn’t been fully thought through or -tested. -

-

See also: tblish.table.grpstats, tblish.evalWithTableVars, tblish.examples.SpDb -

-
- -
-
Instance Variable of table: cellstr VariableNames
-
-

The names of the variables in the table, as a cellstr row vector. -

-
- -
-
Instance Variable of table: cell VariableValues
-
-

A cell vector containing the values for each of the variables. -VariableValues(i) corresponds to VariableNames(i). -

-
- -
-
Instance Variable of table: cellstr RowNames
-
-

An optional list of row names that identify each row in the table. This -is a cellstr column vector, if present. -

-
- -
-
Instance Variable of table: cellstr DimensionNames
-
-

Names for the two dimensions of the table array, as a cellstr row vector. Always -exactly 2-long, because tables are always exactly 2-D. Defaults to -{"Row", "Variables"}. (I feel the singular "Row" and plural "Variables" here -are inconsistent, but that’s what Matlab uses, so Tablicious uses it too, for -Matlab compatibility.) -

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8.2.54.1 table.addvars

- -
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Method: out = addvars (obj, var1, …, varN)
-
Method: out = addvars (…, 'Before', Before)
-
Method: out = addvars (…, 'After', After)
-
Method: out = addvars (…, 'NewVariableNames', NewVariableNames)
-
-

Add variables to table. -

-

Adds the specified variables to a table. -

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8.2.54.2 table.antijoin

- -
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Method: [outA, ixA, outB, ixB] = antijoin (A, B)
-
-

Natural antijoin (AKA “semidifference”). -

-

Computes the anti-join of A and B. The anti-join is defined as all the -rows from one input which do not have matching rows in the other input. -

-

Returns: - outA - all the rows in A with no matching row in B - ixA - the row indexes into A which produced outA - outB - all the rows in B with no matching row in A - ixB - the row indexes into B which produced outB -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

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8.2.54.3 table.cartesian

- -
-
Method: [out, ixs] = cartesian (A, B)
-
-

Cartesian product of two tables. -

-

Computes the Cartesian product of two tables. The Cartesian product is -each row in A combined with each row in B. -

-

Due to the definition and structural constraints of table, the two inputs -must have no variable names in common. It is an error if they do. -

-

The Cartesian product is seldom used in practice. If you find yourself -calling this method, you should step back and re-evaluate what you are -doing, asking yourself if that is really what you want to happen. If nothing -else, writing a function that calls cartesian() is usually much less -efficient than alternate ways of arriving at the same result. -

-

This implementation does not remove duplicate values. -TODO: Determine whether this duplicate-removing behavior is correct. -

-

The ordering of the rows in the output is not specified, and may be implementation- -dependent. TODO: Determine if we can lock this behavior down to a fixed, -defined ordering, without killing performance. -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

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8.2.54.4 table.convertvars

- -
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Method: out = convertvars (obj, vars, dataType)
-
-

Convert variables to specified data type. -

-

Converts the variables in obj specified by vars to the specified data type. -

-

vars is a cellstr or numeric vector specifying which variables to convert. -

-

dataType specifies the data type to convert those variables to. It is either -a char holding the name of the data type, or a function handle which will -perform the conversion. If it is the name of the data type, there must -either be a one-arg constructor of that type which accepts the specified -variables’ current types as input, or a conversion method of that name -defined on the specified variables’ current type. -

-

Returns a table with the same variable names as obj, but with converted -types. -

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8.2.54.5 table.findgroups

- -
-
Method: [G, TID] = findgroups (obj)
-
-

Find groups within a table’s row values. -

-

Finds groups within a table’s row values and get group numbers. A group -is a set of rows that have the same values in all their variable elements. -

-

Returns: - G - A double column vector of group numbers created from obj. - TID - A table containing the row values corresponding to the group numbers. -

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8.2.54.6 table.getvar

- -
-
Method: [out, name] = getvar (obj, varRef)
-
-

Get value and name for single table variable. -

-

varRef is a variable reference. It may be a name or an index. It -may only specify a single table variable. -

-

Returns: - out – the value of the referenced table variable - name – the name of the referenced table variable -

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8.2.54.7 table.getvars

- -
-
Method: [out1, …] = getvars (obj, varRef)
-
-

Get values for one ore more table variables. -

-

varRef is a variable reference in the form of variable names or -indexes. -

-

Returns as many outputs as varRef referenced variables. Each output -contains the contents of the corresponding table variable. -

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8.2.54.8 table.groupby

- -
-
Method: [out] = groupby (obj, groupvars, aggcalcs)
-
-

Find groups in table data and apply functions to variables within groups. -

-

This works like an SQL "SELECT ... GROUP BY ..." statement. -

-

groupvars (cellstr, numeric) is a list of the grouping variables, -identified by name or index. -

-

aggcalcs is a specification of the aggregate calculations to perform -on them, in the form {out_var, fcn, in_vars; ...}, where: - out_var (char) is the name of the output variable - fcn (function handle) is the function to apply to produce it - in_vars (cellstr) is a list of the input variables to pass to fcn -

-

Returns a table. -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

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8.2.54.9 table.height

- -
-
Method: out = height (obj)
-
-

Number of rows in table. -

-

For a zero-variable table, this currently always returns 0. This is a bug, -and will change in the future. It should be possible for zero-variable table -arrays to have any number of rows. -

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8.2.54.10 table.horzcat

- -
-
Method: out = horzcat (varargin)
-
-

Horizontal concatenation. -

-

Combines tables by horizontally concatenating them. -Inputs that are not tables are automatically converted to tables by calling -table() on them. Inputs must have all distinct variable names. -

-

Output has the same RowNames as varargin{1}. The variable names and values -are the result of the concatenation of the variable names and values lists -from the inputs. -

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8.2.54.11 table.innerjoin

- -
-
Method: [out, ixa, ixb] = innerjoin (A, B)
-
Method: […] = innerjoin (A, B, …)
-
-

Combine two tables by rows using key variables. -

-

Computes the relational inner join between two tables. “Inner” means that -only rows which had matching rows in the other input are kept in the -output. -

-

TODO: Document options. -

-

Returns: - out - A table that is the result of joining A and B - ix - Indexes into A for each row in out - ixb - Indexes into B for each row in out -

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8.2.54.12 table.intersect

- -
-
Method: [C, ia, ib] = intersect (A, B)
-
-

Set intersection. -

-

Computes the intersection of two tables. The intersection is defined to be the unique -row values which are present in both of the two input tables. -

-

Returns: - C - A table containing all the unique row values present in both A and B. - ia - Row indexes into A of the rows from A included in C. - ib - Row indexes into B of the rows from B included in C. -

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8.2.54.13 table.isempty

- -
-
Method: out = isempty (obj)
-
-

Test whether array is empty. -

-

For tables, isempty is true if the number of rows is 0 or the number -of variables is 0. -

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8.2.54.14 table.ismember

- -
-
Method: [tf, loc] = ismember (A, B)
-
-

Set membership. -

-

Finds rows in A that are members of B. -

-

Returns: - tf - A logical vector indicating whether each A(i,:) was present in B. - loc - Indexes into B of rows that were found. -

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8.2.54.15 table.ismissing

- -
-
Method: out = ismissing (obj)
-
Method: out = ismissing (obj, indicator)
-
-

Find missing values. -

-

Finds missing values in obj’s variables. -

-

If indicator is not supplied, uses the standard missing values for each -variable’s data type. If indicator is supplied, the same indicator list is -applied across all variables. -

-

All variables in this must be vectors. (This is due to the requirement -that size(out) == size(obj).) -

-

Returns a logical array the same size as obj. -

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8.2.54.16 table.istable

- -
-
Method: tf = istable (obj)
-
-

True if input is a table. -

-
- -
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8.2.54.17 table.join

- -
-
Method: [C, ib] = join (A, B)
-
Method: [C, ib] = join (A, B, …)
-
-

Combine two tables by rows using key variables, in a restricted form. -

-

This is not a "real" relational join operation. It has the restrictions -that: - 1) The key values in B must be unique. - 2) Every key value in A must map to a key value in B. -These are restrictions inherited from the Matlab definition of table.join. -

-

You probably don’t want to use this method. You probably want to use -innerjoin or outerjoin instead. -

-

See also: table.innerjoin, table.outerjoin -

-
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8.2.54.18 table.mergevars

- -
-
Method: out = mergevars (obj, vars)
-
Method: out = mergevars (…, 'NewVariableName', NewVariableName)
-
Method: out = mergevars (…, 'MergeAsTable', MergeAsTable)
-
-

Merge table variables into a single variable. -

-
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8.2.54.19 table.movevars

- -
-
Method: out = movevars (obj, vars, relLocation, location)
-
-

Move around variables in a table. -

-

vars is a list of variables to move, specified by name or index. -

-

relLocation is 'Before' or 'After'. -

-

location indicates a single variable to use as the target location, -specified by name or index. If it is specified by index, it is the index -into the list of *unmoved* variables from obj, not the original full -list of variables in obj. -

-

Returns a table with the same variables as obj, but in a different order. -

-
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8.2.54.20 table.ndims

- -
-
Method: out = ndims (obj)
-
-

Number of dimensions -

-

For tables, ndims(obj) is always 2, because table arrays are always -2-D (rows-by-columns). -

-
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8.2.54.21 table.numel

- -
-
Method: out = numel (obj)
-
-

Total number of elements in table (actually 1). -

-

For compatibility reasons with Octave’s OOP interface and subsasgn behavior, -table’s numel is defined to always return 1. It is not useful for client -code to query a table’s size using numel. This is an incompatibility with -Matlab. -

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8.2.54.22 table.outerfillvals

- -
-
Method: out = outerfillvals (obj)
-
-

Get fill values for outer join. -

-

Returns a table with the same variables as this, but containing only -a single row whose variable values are the values to use as fill values -when doing an outer join. -

-
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8.2.54.23 table.outerjoin

- -
-
Method: [out, ixa, ixb] = outerjoin (A, B)
-
Method: […] = outerjoin (A, B, …)
-
-

Combine two tables by rows using key variables, retaining unmatched rows. -

-

Computes the relational outer join of tables A and B. This is like a -regular join, but also includes rows in each input which did not have -matching rows in the other input; the columns from the missing side are -filled in with placeholder values. -

-

TODO: Document options. -

-

Returns: - out - A table that is the result of the outer join of A and B - ixa - indexes into A for each row in out - ixb - indexes into B for each row in out -

-
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8.2.54.24 table.prettyprint

- -
-
Method: prettyprint (obj)
-
-

Display table’s values in tabular format. This prints the contents -of the table in human-readable, tabular form. -

-

Variables which contain objects are displayed using the strings -returned by their dispstrs method, if they define one. -

-
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8.2.54.25 table.realjoin

- -
-
Method: [out, ixs] = realjoin (A, B)
-
Method: […] = realjoin (A, B, …)
-
-

"Real" relational inner join, without key restrictions -

-

Performs a "real" relational natural inner join between two tables, -without the key restrictions that JOIN imposes. -

-

Currently does not support tables which have RowNames. This may be -added in the future. -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-

Name/value option arguments are: Keys, LeftKeys, RightKeys, -LeftVariables, RightVariables. -

-

FIXME: Document those options. -

-

Returns: - out - A table that is the result of joining A and B - ixs - Indexes into A for each row in out -

-
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8.2.54.26 table.removevars

- -
-
Method: out = removevars (obj, vars)
-
-

Remove variables from table. -

-

Deletes the variables specified by vars from obj. -

-

vars may be a char, cellstr, numeric index vector, or logical -index vector. -

-
- -
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8.2.54.27 table.renamevars

- -
-
Method: out = renamevars (obj, renameMap)
-
-

Rename variables in a table. -

-

Renames selected variables in the table obj based on the mapping -provided in renameMap. -

-

renameMap is an n-by-2 cellstr array, with the old variable names -in the first column, and the corresponding new variable names in the -second column. -

-

Variables which are not included in renameMap are not modified. -

-

It is an error if any variables named in the first column of renameMap -are not present in obj. -

-

Renames -

- -
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8.2.54.28 table.repelem

- -
-
Method: out = repelem (obj, R)
-
Method: out = repelem (obj, R_1, R_2)
-
-

Replicate elements of matrix. -

-

Replicates elements of this table matrix by applying repelem to each of -its variables. This -

-

Only two dimensions are supported for repelem on tables. -

-
- -
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8.2.54.29 table.repmat

- -
-
Method: out = repmat (obj, sz)
-
-

Replicate matrix. -

-

Repmats a table by repmatting each of its variables vertically. -

-

For tables, repmatting is only supported along dimension 1. That is, the -values of sz(2:end) must all be exactly 1. This behavior may change in the -future to support repmatting horizontally, with the added variable names being -automatically changed to maintain uniqueness of variable names within the -resulting table. -

-

Returns a new table with the same variable names and types as tbl, but -with a possibly different row count. -

-
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8.2.54.30 table.restrict

- -
-
Method: out = restrict (obj, expr)
-
Method: out = restrict (obj, ix)
-
-

Subset rows using variable expression or index. -

-

Subsets a table row-wise, using either an index vector or an expression -involving obj’s variables. -

-

If the argument is a numeric or logical vector, it is interpreted as an -index into the rows of this. (Just as with ‘subsetrows (this, index)‘.) -

-

If the argument is a char, then it is evaulated as an M-code expression, -with all of this’ variables available as workspace variables, as with -tblish.evalWithTableVars. The output of expr must be a numeric or logical index -vector (This form is a shorthand for -out = subsetrows (this, tblish.evalWithTableVars (this, expr)).) -

-

TODO: Decide whether to name this to "where" to be more like SQL instead -of relational algebra. -

-

Examples: -

-
[s,p,sp] = tblish.examples.SpDb;
-prettyprint (restrict (p, 'Weight >= 14 & strcmp(Color, "Red")'))
-
- -

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

-

See also: tblish.evalWithTableVars -

-
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8.2.54.31 table.rowfun

- -
-
Method: out = varfun (func, obj)
-
Method: out = varfun (…, 'OptionName', OptionValue, …)
-
-

Apply function to rows in table and collect outputs. -

-

This applies the function func to the elements of each row of -obj’s variables, and collects the concatenated output(s) into the -variable(s) of a new table. -

-

func is a function handle. It should take as many inputs as there -are variables in obj. Or, it can take a single input, and you must -specify 'SeparateInputs', false to have the input variables -concatenated before being passed to func. It may return multiple -argouts, but to capture those past the first one, you must explicitly -specify the 'NumOutputs' or 'OutputVariableNames' options. -

-

Supported name/value options: -

-
'OutputVariableNames'
-

Names of table variables to store combined function output arguments in. -

-
'NumOutputs'
-

Number of output arguments to call function with. If omitted, defaults to -number of items in OutputVariableNames if it is supplied, otherwise -defaults to 1. -

-
'SeparateInputs'
-

If true, input variables are passed as separate input arguments to func. -If false, they are concatenated together into a row vector and passed as -a single argument. Defaults to true. -

-
'ErrorHandler'
-

A function to call as a fallback when calling func results in an error. -It is passed the caught exception, along with the original inputs passed -to func, and it has a “second chance” to compute replacement values -for that row. This is useful for converting raised errors to missing-value -fill values, or logging warnings. -

-
'ExtractCellContents'
-

Whether to “pop out” the contents of the elements of cell variables in -obj, or to leave them as cells. True/false; default is false. If -you specify this option, then obj may not have any multi-column -cell-valued variables. -

-
'InputVariables'
-

If specified, only these variables from obj are used as the function -inputs, instead of using all variables. -

-
'GroupingVariables'
-

Not yet implemented. -

-
'OutputFormat'
-

The format of the output. May be 'table' (the default), -'uniform', or 'cell'. If it is 'uniform' or 'cell', -the output variables are returned in multiple output arguments from -'rowfun'. -

-
- -

Returns a table whose variables are the collected output arguments -of func if OutputFormat is 'table'. Otherwise, returns -multiple output arguments of whatever type func returned (if -OutputFormat is 'uniform') or cells (if OutputFormat -is 'cell'). -

-
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8.2.54.32 table.rows2vars

- -
-
Method: out = rows2vars (obj)
-
Method: out = rows2vars (obj, 'VariableNamesSource', VariableNamesSource)
-
Method: out = rows2vars (…, 'DataVariables', DataVariables)
-
-

Reorient table, swapping rows and variables dimensions. -

-

This flips the dimensions of the given table obj, swapping the -orientation of the contained data, and swapping the row names/labels -and variable names. -

-

The variable names become a new variable named “OriginalVariableNames”. -

-

The row names are drawn from the column VariableNamesSource if it -is specified. Otherwise, if obj has row names, they are used. -Otherwise, new variable names in the form “VarN” are generated. -

-

If all the variables in obj are of the same type, they are concatenated -and then sliced to create the new variable values. Otherwise, they are -converted to cells, and the new table has cell variable values. -

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8.2.54.33 table.semijoin

- -
-
Method: [outA, ixA, outB, ixB] = semijoin (A, B)
-
-

Natural semijoin. -

-

Computes the natural semijoin of tables A and B. The semi-join of tables -A and B is the set of all rows in A which have matching rows in B, based -on comparing the values of variables with the same names. -

-

This method also computes the semijoin of B and A, for convenience. -

-

Returns: - outA - all the rows in A with matching row(s) in B - ixA - the row indexes into A which produced outA - outB - all the rows in B with matching row(s) in A - ixB - the row indexes into B which produced outB -

-

This is a Tablicious/Octave extension, not defined in the Matlab table interface. -

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8.2.54.34 table.setdiff

- -
-
Method: [C, ia] = setdiff (A, B)
-
-

Set difference. -

-

Computes the set difference of two tables. The set difference is defined to be -the unique row values which are present in table A that are not in table B. -

-

Returns: - C - A table containing the unique row values in A that were not in B. - ia - Row indexes into A of the rows from A included in C. -

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8.2.54.35 table.setDimensionNames

- -
-
Method: out = setDimensionNames (obj, names)
-
Method: out = setDimensionNames (obj, ix, names)
-
-

Set dimension names. -

-

Sets the DimensionNames for this table to a new list of names. -

-

names is a char or cellstr vector. It must have the same number of elements -as the number of dimension names being assigned. -

-

ix is an index vector indicating which dimension names to set. If -omitted, it sets all two of them. Since there are always two dimension, -the indexes in ix may never be higher than 2. -

-

This method exists because the obj.Properties.DimensionNames = … -assignment form did not originally work, possibly due to an Octave bug, or more -likely due to a bug in Tablicious prior to the early 0.4.x versions. That was -fixed around 0.4.4. This method may be deprecated and removed at some point, since -it is not part of the standard Matlab table interface, and is now redundant with -the obj.Properties.DimensionNames = … assignment form. -

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8.2.54.36 table.setRowNames

- -
-
Method: out = setRowNames (obj, names)
-
-

Set row names. -

-

Sets the row names on obj to names. -

-

names is a cellstr column vector, with the same number of rows as -obj has. -

-
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8.2.54.37 table.setvar

- -
-
Method: out = setvar (obj, varRef, value)
-
-

Set value for a variable in table. -

-

This sets (adds or replaces) the value for a variable in obj. It -may be used to change the value of an existing variable, or add a new -variable. -

-

This method exists primarily because I cannot get obj.foo = value to work, -apparently due to an issue with Octave’s subsasgn support. -

-

varRef is a variable reference, either the index or name of a variable. -If you are adding a new variable, it must be a name, and not an index. -

-

value is the value to set the variable to. If it is scalar or -a single string as charvec, it is scalar-expanded to match the number -of rows in obj. -

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8.2.54.38 table.setVariableNames

- -
-
Method: out = setVariableNames (obj, names)
-
Method: out = setVariableNames (obj, ix, names)
-
-

Set variable names. -

-

Sets the VariableNames for this table to a new list of names. -

-

names is a char or cellstr vector. It must have the same number of elements -as the number of variable names being assigned. -

-

ix is an index vector indicating which variable names to set. If -omitted, it sets all of them present in obj. -

-

This method exists because the obj.Properties.VariableNames = … -assignment form does not work, possibly due to an Octave bug. -

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8.2.54.39 table.setxor

- -
-
Method: [C, ia, ib] = setxor (A, B)
-
-

Set exclusive OR. -

-

Computes the setwise exclusive OR of two tables. The set XOR is defined to be -the unique row values which are present in one or the other of the two input -tables, but not in both. -

-

Returns: - C - A table containing all the unique row values in the set XOR of A and B. - ia - Row indexes into A of the rows from A included in C. - ib - Row indexes into B of the rows from B included in C. -

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8.2.54.40 table.size

- -
-
Method: sz = size (obj)
-
Method: [nr, nv] = size (obj)
-
Method: [nr, nv, …] = size (obj)
-
-

Gets the size of a table. -

-

For tables, the size is [number-of-rows x number-of-variables]. -This is the same as [height(obj), width(obj)]. -

-
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8.2.54.41 table.splitapply

- -
-
Method: out = splitapply (func, obj, G)
-
Method: [Y1, …, YM] = splitapply (func, obj, G)
-
-

Split table data into groups and apply function. -

-

Performs a splitapply, using the variables in obj as the input X variables -to the splitapply function call. -

-

See also: splitapply, table.groupby, tblish.table.grpstats -

-
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8.2.54.42 table.splitvars

- -
-
Method: out = splitvars (obj)
-
Method: out = splitvars (obj, vars)
-
Method: out = splitvars (…, 'NewVariableNames', NewVariableNames)
-
-

Split multicolumn table variables. -

-

Splits multicolumn table variables into new single-column variables. -If vars is supplied, splits only those variables. If vars -is not supplied, splits all multicolumn variables. -

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8.2.54.43 table.squeeze

- -
-
Method: obj = squeeze (obj)
-
-

Remove singleton dimensions. -

-

For tables, this is always a no-op that returns the input unmodified, -because tables always have exactly 2 dimensions, and 2-D arrays are unaffected -by squeeze. -

-
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8.2.54.44 table.stack

- -
-
Method: out = stack (obj, vars)
-
Method: out = stack (…, 'NewDataVariableName', NewDataVariableName)
-
Method: out = stack (…, 'IndexVariableName', IndexVariableName)
-
-

Stack multiple table variables into a single variable. -

-
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8.2.54.45 table.summary

- -
-
Method: summary (obj)
-
-

Display a summary of a table’s data. -

-

Displays a summary of data in the input table. This will contain some -statistical information on each of its variables. The output is printed -to the Octave console (command window, stdout, or the like in your current -session), in a format suited for human consumption. The output format is -not fixed or formally defined, and may change over time. It is only -suitable for human display, and not for parsing or programmatic use. -

-

This method supports, to some degree, extension by other packages. If your -Octave session has loaded other packages which supply extension implementaions -of ‘summary‘, Tablicious will use those in preference to its own internal -implementation, and you will get different, and hopefully better, output. -

-
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8.2.54.46 table.table

- -
-
Constructor: obj = table ()
-
-

Constructs a new empty (0 rows by 0 variables) table. -

-
- -
-
Constructor: obj = table (var1, var2, …, varN)
-
-

Constructs a new table from the given variables. The variables passed as -inputs to this constructor become the variables of the table. Their names -are automatically detected from the input variable names that you used. -

-

Note: If you call the constructor with exactly three arguments, and the first -argument is exactly the value ’__tblish_backdoor__’, that will trigger a special internal-use -backdoor calling form, and you will get incorrect results. This is a bug in -Tablicious. -

-
- -
-
Constructor: obj = table ('Size', sz, 'VariableTypes', varTypes)
-
-

Constructs a new table of the given size, and with the given variable types. -The variables will contain the default value for elements of that type. -

-
- -
-
Constructor: obj = table (…, 'VariableNames', varNames)
-
Constructor: obj = table (…, 'RowNames', rowNames)
-
-

Specifies the variable names or row names to use in the constructed table. -Overrides the implicit names garnered from the input variable names. -

-
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8.2.54.47 table.table2array

- -
-
Method: s = table2struct (obj)
-
-

Converts obj to a homogeneous array. -

-
- -
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8.2.54.48 table.table2cell

- -
-
Method: c = table2cell (obj)
-
-

Converts table to a cell array. Each variable in obj becomes -one or more columns in the output, depending on how many columns -that variable has. -

-

Returns a cell array with the same number of rows as obj, and -with as many or more columns as obj has variables. -

-
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8.2.54.49 table.table2struct

- -
-
Method: s = table2struct (obj)
-
Method: s = table2struct (…, 'ToScalar', trueOrFalse)
-
-

Converts obj to a scalar structure or structure array. -

-

Row names are not included in the output struct. To include them, you -must add them manually: - s = table2struct (tbl, ’ToScalar’, true); - s.RowNames = tbl.Properties.RowNames; -

-

Returns a scalar struct or struct array, depending on the value of the -ToScalar option. -

-
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8.2.54.50 table.union

- -
-
Method: [C, ia, ib] = union (A, B)
-
-

Set union. -

-

Computes the union of two tables. The union is defined to be the unique -row values which are present in either of the two input tables. -

-

Returns: - C - A table containing all the unique row values present in A or B. - ia - Row indexes into A of the rows from A included in C. - ib - Row indexes into B of the rows from B included in C. -

-
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8.2.54.51 table.varfun

- -
-
Method: out = varfun (fcn, obj)
-
Method: out = varfun (…, 'OutputFormat', outputFormat)
-
Method: out = varfun (…, 'InputVariables', vars)
-
Method: out = varfun (…, 'ErrorHandler', errorFcn)
-
-

Apply function to table variables. -

-

Applies the given function fcn to each variable in obj, -collecting the output in a table, cell array, or array of another type. -

-
- -
-
-
-
-

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-

8.2.54.52 table.varnames

- -
-
Method: out = varnames (obj)
-
Method: out = varnames (obj, varNames)
-
-

Get or set variable names for a table. -

-

Returns cellstr in the getter form. Returns an updated datetime in the -setter form. -

-
- -
-
-
-
-

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-
-

8.2.54.53 table.vertcat

- -
-
Method: out = vertcat (varargin)
-
-

Vertical concatenation. -

-

Combines tables by vertically concatenating them. -

-

Inputs that are not tables are automatically converted to tables by calling -table() on them. -

-

The inputs must have the same number and names of variables, and their -variable value types and sizes must be cat-compatible. The types of the resulting -variables are the types that result from doing a ‘vertcat()‘ on the variables -from the corresponding input tables, in the order they were input in. -

-
- -
-
-
-
-

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-
-

8.2.54.54 table.width

- -
-
Method: out = width (obj)
-
-

Number of variables in table. -

-

Note that this is not the sum of the number of columns in each variable. -It is just the number of variables. -

-
- -
-
-
-
-
-

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-
-

8.2.55 tableOuterFillValue

-

Not documented -

-
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-

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-
-

8.2.56 tail

-
-
Function: out = tail (A)
-
Function: out = tail (A, k)
-
-

Get last K rows of an array. -

-

Returns the array A, subsetted to its last k rows. This means -subsetting it to the last (min (k, size (A, 1))) elements along -dimension 1, and leaving all other dimensions unrestricted. -

-

A is the array to subset. -

-

k is the number of rows to get. k defaults to 8 if it is omitted -or empty. -

-

If there are less than k rows in A, returns all rows. -

-

Returns an array of the same type as A, unless ()-indexing A -produces an array of a different type, in which case it returns that type. -

-

See also: head -

-
- - -
-
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-
-

8.2.57 tblish.dataset

-
-
Class: tblish.dataset
-
-

The tblish.dataset class provides convenient access to the various -datasets included with Tablicious. -

-

This class just contains a bunch of static methods, each of which loads -the dataset of that name. It is provided as a convenience so you can use tab -completion or other run-time introspection on the dataset list. -

-
- - - -
-
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-

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-

8.2.57.1 tblish.dataset.airmiles

- -
-
Static Method: out = airmiles ()
-
-

Passenger Miles on Commercial US Airlines, 1937-1960 -

-

Description

- -

The revenue passenger miles flown by commercial airlines in the -United States for each year from 1937 to 1960. -

-

Source

- -

F.A.A. Statistical Handbook of Aviation. -

-

Examples

- -
-
t = tblish.dataset.airmiles;
-plot (t.year, t.miles);
-title ("airmiles data");
-xlabel ("Passenger-miles flown by U.S. commercial airlines")
-ylabel ("airmiles");
-
-
- - -
- -
-
-
-
-

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8.2.57.2 tblish.dataset.AirPassengers

- -
-
Static Method: out = AirPassengers ()
-
-

Monthly Airline Passenger Numbers 1949-1960 -

-

Description

- -

The classic Box & Jenkins airline data. Monthly totals of international -airline passengers, 1949 to 1960. -

-

Source

- -

Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1976). Time Series -Analysis, Forecasting and Control. Third Edition. San Francisco: Holden-Day. -Series G. -

-

Examples

- -
-
## TODO: This example needs to be ported from R.
-
-
- - -
- -
-
-
-
-

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-

8.2.57.3 tblish.dataset.airquality

- -
-
Static Method: out = airquality ()
-
-

New York Air Quality Measurements from 1973 -

-

Description

- -

Daily air quality measurements in New York, May to September 1973. -

-

Format

- -
-
Ozone
-

Ozone concentration (ppb) -

-
SolarR
-

Solar R (lang) -

-
Wind
-

Wind (mph) -

-
Temp
-

Temperature (degrees F) -

-
Month
-

Month (1-12) -

-
Day
-

Day of month (1-31) -

-
- -

Source

- -

New York State Department of Conservation (ozone data) and the National -Weather Service (meteorological data). -

-

References

- -

Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983). -Graphical Methods for Data Analysis. Belmont, CA: Wadsworth. -

-

Examples

- -
-
t = tblish.dataset.airquality
-# Plot a scatter-plot plus a fitted line, for each combination of measurements
-vars = {"Ozone", "SolarR", "Wind", "Temp" "Month", "Day"};
-n_vars = numel (vars);
-figure;
-for i = 1:n_vars
-  for j = 1:n_vars
-    if (i == j)
-      continue
-    endif
-    ix_subplot = (n_vars * (j - 1) + i);
-    hax = subplot (n_vars, n_vars, ix_subplot);
-    var_x = vars{i};
-    var_y = vars{j};
-    x = t.(var_x);
-    y = t.(var_y);
-    scatter (hax, x, y, 10);
-    # Fit a cubic line to these points
-    # TODO: Find out exactly what kind of fitted line R's example is using, and
-    # port that.
-    hold on
-    p = polyfit (x, y, 3);
-    x_hat = unique(x);
-    p_y = polyval (p, x_hat);
-    plot (hax, x_hat, p_y, "r");
-  endfor
-endfor
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.4 tblish.dataset.anscombe

- -
-
Static Method: out = anscombe ()
-
-

Anscombe’s Quartet of “Identical” Simple Linear Regressions -

-

Description

- -

Four sets of x/y pairs which have the same statistical properties, but are -very different. -

-

Format

- -

The data comes in an array of 4 structs, each with fields as follows: -

-
-
x
-

The X values for this pair. -

-
y
-

The Y values for this pair. -

-
- -

Source

- -

Tufte, Edward R. (1989). The Visual Display of Quantitative Information. -13–14. Cheshire, CT: Graphics Press. -

-

References

- -

Anscombe, Francis J. (1973). Graphs in statistical analysis. The -American Statistician, 27, 17–21. -

-

Examples

- -
-
data = tblish.dataset.anscombe
-
-# Pick good limits for the plots
-all_x = [data.x];
-all_y = [data.y];
-x_limits = [min(0, min(all_x)) max(all_x)*1.2];
-y_limits = [min(0, min(all_y)) max(all_y)*1.2];
-
-# Do regression on each pair and plot the input and results
-figure;
-haxs = NaN (1, 4);
-for i_pair = 1:4
-  x = data(i_pair).x;
-  y = data(i_pair).y;
-  # TODO: Port the anova and other characterizations from the R code
-  # TODO: Do a linear regression and plot its line
-  hax = subplot (2, 2, i_pair);
-  haxs(i_pair) = hax;
-  xlabel (sprintf ("x%d", i_pair));
-  ylabel (sprintf ("y%d", i_pair));
-  scatter (x, y, "r");
-endfor
-
-# Fiddle with the plot axes parameters
-linkaxes (haxs);
-xlim (haxs(1), x_limits);
-ylim (haxs(1), y_limits);
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.5 tblish.dataset.attenu

- -
-
Static Method: out = attenu ()
-
-

Joyner-Boore Earthquake Attenuation Data -

-

Description

- -

Event data for 23 earthquakes in California, showing peak accelerations. -

-

Format

- -
-
event
-

Event number -

-
mag
-

Moment magnitude -

-
station
-

Station identifier -

-
dist
-

Station-hypocenter distance (km) -

-
accel
-

Peak acceleration (g) -

-
- -

Source

- -

Joyner, W.B., D.M. Boore and R.D. Porcella (1981). Peak horizontal acceleration -and velocity from strong-motion records including records from the 1979 -Imperial Valley, California earthquake. USGS Open File report 81-365. Menlo -Park, CA. -

-

References

- -

Boore, D. M. and Joyner, W. B. (1982). The empirical prediction of ground -motion. Bulletin of the Seismological Society of America, 72, S269–S268. -

-

Examples

- -
-
# TODO: Port the example code from R
-# It does coplot() and pairs(), which are higher-level plotting tools
-# than core Octave provides. This could turn into a long example if we
-# just use base Octave here.
-
- - -
- -
-
-
-
-

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-
-

8.2.57.6 tblish.dataset.attitude

- -
-
Static Method: out = attitude ()
-
-

The Chatterjee-Price Attitude Data -

-

Description

- -

Aggregated data from a survey of clerical employees at a large financial -organization. -

-

Format

- -
-
rating
-

Overall rating. -

-
complaints
-

Handling of employee complaints. -

-
privileges
-

Does not allow special privileges. -

-
learning
-

Opportunity to learn. -

-
raises
-

Raises based on performance. -

-
critical
-

Too critical. -

-
advance
-

Advancement. -

-
- -

Source

- -

Chatterjee, S. and Price, B. (1977). Regression Analysis by Example. New York: -Wiley. (Section 3.7, p.68ff of 2nd ed.(1991).) -

-

Examples

- -
-
t = tblish.dataset.attitude
-
-tblish.examples.plot_pairs (t);
-
-# TODO: Display table summary
-
-# TODO: Whatever those statistical linear-model plots are that R is doing
-
-
-
- -
- -
-
-
-
-

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-
-

8.2.57.7 tblish.dataset.austres

- -
-
Static Method: out = austres ()
-
-

Australian Population -

-

Description

- -

Numbers of Australian residents measured quarterly from March 1971 to March 1994. -

-

Format

- -
-
date
-

The month of the observation. -

-
residents
-

The number of residents. -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1996). Introduction to Time Series and -Forecasting. New York: Springer-Verlag. -

-

Examples

- -
-
t = tblish.dataset.austres
-
-plot (datenum (t.date), t.residents);
-datetick x
-xlabel ("Month"); ylabel ("Residents"); title ("Australian Residents");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.8 tblish.dataset.beavers

- -
-
Static Method: out = beavers ()
-
-

Body Temperature Series of Two Beavers -

-

Description

- -

Body temperature readings for two beavers. -

-

Format

- -
-
day
-

Day of observation (in days since the beginning of 1990), December 12–13 (beaver1) -and November 3–4 (beaver2). -

-
time
-

Time of observation, in the form 0330 for 3:30am -

-
temp
-

Measured body temperature in degrees Celsius. -

-
activ
-

Indicator of activity outside the retreat. -

-
- -

Source

- -

P. S. Reynolds (1994) Time-series analyses of beaver body temperatures. -Chapter 11 of Lange, N., Ryan, L., Billard, L., Brillinger, D., Conquest, -L. and Greenhouse, J. (Eds.) (1994) Case Studies in Biometry. New York: John Wiley -and Sons. -

-

Examples

- -
-
# TODO: This example needs to be ported from R.
-
- - -
- -
-
-
-
-

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-
-

8.2.57.9 tblish.dataset.BJsales

- -
-
Static Method: out = BJsales ()
-
-

Sales Data with Leading Indicator -

-

Description

- -

Sales Data with Leading Indicator -

-

Format

- -
-
record
-

Index of the record. -

-
lead
-

Leading indicator. -

-
sales
-

Sales volume. -

-
- -

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Box, G. E. P. and Jenkins, G. M. (1976). Time Series Analysis, Forecasting and -Control. San Francisco: Holden-Day. p. 537. -

-

Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods, -Second edition. New York: Springer-Verlag. p. 414. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.10 tblish.dataset.BOD

- -
-
Static Method: out = BOD ()
-
-

Biochemical Oxygen Demand -

-

Description

- -

Contains biochemical oxygen demand versus time in an evaluation of water quality. -

-

Format

- -
-
Time
-

Time of the measurement (in days). -

-
demand
-

Biochemical oxygen demand (mg/l). -

-
- -

Source

- -

Bates, D.M. and Watts, D.G. (1988). Nonlinear Regression Analysis and Its -Applications. New York: John Wiley & Sons. Appendix A1.4. -

-

Originally from: Marske (1967). Biochemical Oxygen Demand Data -Interpretation Using Sum of Squares Surface, M.Sc. Thesis, University of -Wisconsin – Madison. -

-

Examples

- -
-
# TODO: Port this example from R
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.11 tblish.dataset.cars

- -
-
Static Method: out = cars ()
-
-

Speed and Stopping Distances of Cars -

-

Description

- -

Speed of cars and distances taken to stop. Note that the data were recorded in the 1920s. -

-

Format

- -
-
speed
-

Speed (mph). -

-
dist
-

Stopping distance (ft). -

-
- -

Source

- -

Ezekiel, M. (1930). Methods of Correlation Analysis. New York: Wiley. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
-
-t = tblish.dataset.cars;
-
-
-# TODO: Add Lowess smoothed lines to the plots
-
-figure;
-plot (t.speed, t.dist, "o");
-xlabel ("Speed (mph)"); ylabel ("Stopping distance (ft)");
-title ("cars data");
-
-figure;
-loglog (t.speed, t.dist, "o");
-xlabel ("Speed (mph)"); ylabel ("Stopping distance (ft)");
-title ("cars data (logarithmic scales)");
-
-# TODO: Do the linear model plot
-
-# Polynomial regression
-figure;
-plot (t.speed, t.dist, "o");
-xlabel ("Speed (mph)"); ylabel ("Stopping distance (ft)");
-title ("cars polynomial regressions");
-hold on
-xlim ([0 25]);
-x2 = linspace (0, 25, 200);
-for degree = 1:4
-  [P, S, mu] = polyfit (t.speed, t.dist, degree);
-  y2 = polyval(P, x2, [], mu);
-  plot (x2, y2);
-endfor
-
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.12 tblish.dataset.ChickWeight

- -
-
Static Method: out = ChickWeight ()
-
-

Weight versus age of chicks on different diets -

-

Format

- -
-
weight
-

a numeric vector giving the body weight of the chick (gm). -

-
Time
-

a numeric vector giving the number of days since birth when the -measurement was made. -

-
Chick
-

an ordered factor with levels 18 < ... < 48 giving a unique -identifier for the chick. The ordering of the levels groups chicks on the same -diet together and orders them according to their final weight (lightest to -heaviest) within diet. -

-
Diet
-

a factor with levels 1, ..., 4 indicating which experimental diet -the chick received. -

-
- -

Source

- -

Crowder, M. and Hand, D. (1990). Analysis of Repeated Measures. London: Chapman and -Hall. (example 5.3) -

-

Hand, D. and Crowder, M. (1996), Practical Longitudinal Data Analysis. London: Chapman -and Hall. (table A.2) -

-

Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-PLUS. -New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.ChickWeight
-
-tblish.examples.coplot (t, "Time", "weight", "Chick");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.13 tblish.dataset.chickwts

- -
-
Static Method: out = chickwts ()
-
-

Chicken Weights by Feed Type -

-

Description

- -

An experiment was conducted to measure and compare the effectiveness of various -feed supplements on the growth rate of chickens. -

-

Newly hatched chicks were randomly allocated into six groups, and each group -was given a different feed supplement. Their weights in grams after six weeks -are given along with feed types. -

-

Format

- -
-
weight
-

Chick weight at six weeks (gm). -

-
feed
-

Feed type. -

-
- -

Source

- -

Anonymous (1948) Biometrika, 35, 214. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
# This example requires the statistics package from Octave Forge
-
-t = tblish.dataset.chickwts
-
-# Boxplot by group
-figure
-g = groupby (t, "feed", {
-  "weight", @(x) {x}, "weight"
-});
-boxplot (g.weight, 1);
-xlabel ("feed"); ylabel ("Weight at six weeks (gm)");
-xticklabels ([{""} cellstr(g.feed')]);
-
-# Linear model
-# TODO: This linear model thing and anova
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.14 tblish.dataset.co2

- -
-
Static Method: out = co2 ()
-
-

Mauna Loa Atmospheric CO2 Concentration -

-

Description

- -

Atmospheric concentrations of CO2 are expressed in parts per million (ppm) and -reported in the preliminary 1997 SIO manometric mole fraction scale. Contains -monthly observations from 1959 to 1997. -

-

Format

- -
-
date
-

Date of the month of the observation, as datetime. -

-
co2
-

CO2 concentration (ppm). -

-
- -

Details

- -

The values for February, March and April of 1964 were missing and have -been obtained by interpolating linearly between the values for January -and May of 1964. -

-

Source

- -

Keeling, C. D. and Whorf, T. P., Scripps Institution of Oceanography -(SIO), University of California, La Jolla, California USA 92093-0220. -

-

ftp://cdiac.esd.ornl.gov/pub/maunaloa-co2/maunaloa.co2. -

-

References

- -

Cleveland, W. S. (1993). Visualizing Data. New Jersey: Summit Press. -

-

Examples

- -
-
t = tblish.dataset.co2;
-
-plot (datenum (t.date), t.co2);
-datetick ("x");
-xlabel ("Time"); ylabel ("Atmospheric concentration of CO2");
-title ("co2 data set");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.15 tblish.dataset.crimtab

- -
-
Static Method: out = crimtab ()
-
-

Student’s 3000 Criminals Data -

-

Description

- -

Data of 3000 male criminals over 20 years old undergoing their sentences in the -chief prisons of England and Wales. -

-

Format

- -

This dataset contains three separate variables. The finger_length and -body_height variables correspond to the rows and columns of the -count matrix. -

-
-
finger_length
-

Midpoints of intervals of finger lengths (cm). -

-
body_height
-

Body heights (cm). -

-
count
-

Number of prisoners in this bin. -

-
- -

Details

- -

Student is the pseudonym of William Sealy Gosset. In his 1908 paper he wrote -(on page 13) at the beginning of section VI entitled Practical Test of the -forgoing Equations: -

-

“Before I had succeeded in solving my problem analytically, I had endeavoured -to do so empirically. The material used was a correlation table containing -the height and left middle finger measurements of 3000 criminals, from a -paper by W. R. MacDonell (Biometrika, Vol. I., p. 219). The measurements -were written out on 3000 pieces of cardboard, which were then very thoroughly -shuffled and drawn at random. As each card was drawn its numbers were written -down in a book, which thus contains the measurements of 3000 criminals in a -random order. Finally, each consecutive set of 4 was taken as a sample—750 -in all—and the mean, standard deviation, and correlation of each sample -etermined. The difference between the mean of each sample and the mean of -the population was then divided by the standard deviation of the sample, giving -us the z of Section III.” -

-

The table is in fact page 216 and not page 219 in MacDonell(1902). In the -MacDonell table, the middle finger lengths were given in mm and the heights -in feet/inches intervals, they are both converted into cm here. The midpoints -of intervals were used, e.g., where MacDonell has “4’ 7"9/16 – 8"9/16”, we -have 142.24 which is 2.54*56 = 2.54*(4’ 8"). -

-

MacDonell credited the source of data (page 178) as follows: “The data on which -the memoir is based were obtained, through the kindness of Dr Garson, from the -Central Metric Office, New Scotland Yard... He pointed out on page 179 that: -“The forms were drawn at random from the mass on the office shelves; we are -therefore dealing with a random sampling.” -

-

Source

- -

http://pbil.univ-lyon1.fr/R/donnees/criminals1902.txt thanks to Jean R. -Lobry and Anne-Béatrice Dufour. -

-

References

- -

Garson, J.G. (1900). The metric system of identification of criminals, as used -in in Great Britain and Ireland. The Journal of the Anthropological -Institute of Great Britain and Ireland, 30, 161–198. -

-

MacDonell, W.R. (1902). On criminal anthropometry and the identification of -criminals. Biometrika, 1(2), 177–227. -

-

Student (1908). The probable error of a mean. Biometrika, 6, 1–25. -

-

Examples

- -
-
# TODO: Port this from R
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.16 tblish.dataset.cupcake

- -
-
Static Method: out = cupcake ()
-
-

Google Search popularity for "cupcake", 2004-2019 -

-

Description

- -

Monthly popularity of worldwide Google search results for "cupcake", 2004-2019. -

-

Format

- -
-
Month
-

Month when searches took place -

-
Cupcake
-

An indicator of search volume, in unknown units -

-
- -

Source

- -

Google Trends, https://trends.google.com/trends/explore?q=%2Fm%2F03p1r4&date=all, -retrieved 2019-05-04 by Andrew Janke. -

-

Examples

- -
-
t = tblish.dataset.cupcake
-plot (datenum (t.Month), t.Cupcake)
-title ('“Cupcake” Google Searches'); xlabel ("Year"); ylabel ("Unknown popularity metric");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.17 tblish.dataset.discoveries

- -
-
Static Method: out = discoveries ()
-
-

Yearly Numbers of Important Discoveries -

-

Description

- -

The numbers of “great” inventions and scientific discoveries in each year from 1860 to 1959. -

-

Format

- -
-
year
-

Year. -

-
discoveries
-

Number of “great” discoveries that year. -

-
- -

Source

- -

The World Almanac and Book of Facts, 1975 Edition, pages 315–318. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.discoveries;
-
-plot (t.year, t.discoveries);
-xlabel ("Time"); ylabel ("Number of important discoveries");
-title ("discoveries data set");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.18 tblish.dataset.DNase

- -
-
Static Method: out = DNase ()
-
-

Elisa assay of DNase -

-

Description

- -

Data obtained during development of an ELISA assay for the recombinant protein DNase in rat serum. -

-

Format

- -
-
Run
-

Ordered categorical indicating the assay run. -

-
conc
-

Known concentration of the protein (ng/ml). -

-
density
-

Measured optical density in the assay (dimensionless). -

-
- -

Source

- -

Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated -Measurement Data. London: Chapman & Hall. (section 5.2.4, p. 134) -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.DNase;
-
-# TODO: Port this from R
-
-tblish.examples.coplot (t, "conc", "density", "Run", "PlotFcn", @scatter);
-tblish.examples.coplot (t, "conc", "density", "Run", "PlotFcn", @loglog, ...
-  "PlotArgs", {"o"});
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.19 tblish.dataset.esoph

- -
-
Static Method: out = esoph ()
-
-

Smoking, Alcohol and Esophageal Cancer -

-

Description

- -

Data from a case-control study of (o)esophageal cancer in Ille-et-Vilaine, France. -

-

Format

- -
-
item
-

Age group (years). -

-
alcgp
-

Alcohol consumption (gm/day). -

-
tobgp
-

Tobacco consumption (gm/day). -

-
ncases
-

Number of cases. -

-
ncontrols
-

Number of controls -

-
- -

Source

- -

Breslow, N. E. and Day, N. E. (1980) Statistical Methods in Cancer Research. -Volume 1: The Analysis of Case-Control Studies. Oxford: IARC Lyon / Oxford University Press. -

-

Examples

- -
-
# TODO: Port this from R
-
-# TODO: Port the anova output
-
-# TODO: Port the fancy plot
-# This involves a "mosaic plot", which is not supported by Octave, so this will
-# take some work.
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.20 tblish.dataset.euro

- -
-
Static Method: out = euro ()
-
-

Conversion Rates of Euro Currencies -

-

Description

- -

Conversion rates between the various Euro currencies. -

-

Format

- -

This data comes in two separate variables. -

-
-
euro
-

An 11-long vector of the value of 1 Euro in all participating currencies. -

-
euro_cross
-

An 11-by-11 matrix of conversion rates between various Euro currencies. -

-
euro_date
-

The date upon which these Euro conversion rates were fixed. -

-
- -

Details

- -

The data set euro contains the value of 1 Euro in all currencies participating -in the European monetary union (Austrian Schilling ATS, Belgian Franc BEF, -German Mark DEM, Spanish Peseta ESP, Finnish Markka FIM, French Franc FRF, -Irish Punt IEP, Italian Lira ITL, Luxembourg Franc LUF, Dutch Guilder NLG and -Portuguese Escudo PTE). These conversion rates were fixed by the European -Union on December 31, 1998. To convert old prices to Euro prices, divide by the -respective rate and round to 2 digits. -

-

Source

- -

Unknown. -

-

This example data set was derived from the R 3.6.0 example datasets, and they -do not specify a source. -

-

Examples

- -
-
# TODO: Port this from R
-
-# TODO: Example conversion
-
-# TODO: "dot chart" showing euro-to-whatever conversion rates and vice versa
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.21 tblish.dataset.eurodist

- -
-
Static Method: out = eurodist ()
-
-

Distances Between European Cities and Between US Cities -

-

Description

- -

eurodist gives road distances (in km) between 21 cities in Europe. The -data are taken from a table in The Cambridge Encyclopaedia. -

-

UScitiesD gives “straight line” distances between 10 cities in the US. -

-

Format

- -
-
eurodist
-

????? -

-
- -

TODO: Finish this. -

-

Source

- -

Crystal, D. Ed. (1990). The Cambridge Encyclopaedia. Cambridge: -Cambridge University Press. -

-

The US cities distances were provided by Pierre Legendre. -

-

Examples

- - - -
- -
-
-
-
-

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-
-

8.2.57.22 tblish.dataset.EuStockMarkets

- -
-
Static Method: out = EuStockMarkets ()
-
-

Daily Closing Prices of Major European Stock Indices -

-

Description

- -

Contains the daily closing prices of major European stock indices: Germany DAX -(Ibis), Switzerland SMI, France CAC, and UK FTSE. The data are sampled in -business time, i.e., weekends and holidays are omitted. -

-

Format

- -

A multivariate time series with 1860 observations on 4 variables. -

-

The starting date is the 130th day of 1991, with a frequency of 260 observations -per year. -

-

Source

- -

The data were kindly provided by Erste Bank AG, Vienna, Austria. -

-

Examples

- -
-
-
-t = tblish.dataset.EuStockMarkets;
-
-# The fact that we're doing this munging means that table might have
-# been the wrong structure for this data in the first place
-
-t2 = removevars (t, "day");
-index_names = t2.Properties.VariableNames;
-day = 1:height (t2);
-price = table2array (t2);
-
-price0 = price(1,:);
-
-rel_price = price ./ repmat (price0, [size(price, 1) 1]);
-
-figure;
-plot (day, rel_price);
-legend (index_names);
-xlabel ("Business day");
-ylabel ("Relative price");
-
-
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.23 tblish.dataset.faithful

- -
-
Static Method: out = faithful ()
-
-

Old Faithful Geyser Data -

-

Description

- -

Waiting time between eruptions and the duration of the eruption for the Old -Faithful geyser in Yellowstone National Park, Wyoming, USA. -

-

Format

- -
-
eruptions
-

Eruption time (mins). -

-
waiting
-

Waiting time to next eruption (mins). -

-
- -

Source

- -

W. Härdle. -

-

References

- -

Härdle, W. (1991). Smoothing Techniques with Implementation in S. New York: -Springer. -

-

Azzalini, A. and Bowman, A. W. (1990). A look at some data on the Old -Faithful geyser. Applied Statistics, 39, 357–365. -

-

Examples

- -
-
t = tblish.dataset.faithful;
-
-# Munge the data, rounding eruption time to the second
-e60 = 60 * t.eruptions;
-ne60 = round (e60);
-# TODO: Port zapsmall to Octave
-eruptions = ne60 / 60;
-# TODO: Display mean relative difference and bins summary
-
-# Histogram of rounded eruption times
-figure
-hist (ne60, max (ne60))
-xlabel ("Eruption time (sec)")
-ylabel ("n")
-title ("faithful data: Eruptions of Old Faithful")
-
-# Scatter plot of eruption time vs waiting time
-figure
-scatter (t.eruptions, t.waiting)
-xlabel ("Eruption time (min)")
-ylabel ("Waiting time to next eruption (min)")
-title ("faithful data: Eruptions of Old Faithful")
-# TODO: Port Lowess smoothing to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.24 tblish.dataset.Formaldehyde

- -
-
Static Method: out = Formaldehyde ()
-
-

Determination of Formaldehyde -

-

Description

- -

These data are from a chemical experiment to prepare a standard curve for the -determination of formaldehyde by the addition of chromatropic acid and -concentrated sulphuric acid and the reading of the resulting purple color on -a spectrophotometer. -

-

Format

- -
-
record
-

Observation record number. -

-
carb
-

Carbohydrate (ml). -

-
optden
-

Optical Density -

-
- -

Source

- -

Bennett, N. A. and N. L. Franklin (1954). Statistical Analysis in -Chemistry and the Chemical Industry. New York: Wiley. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.Formaldehyde;
-
-figure
-scatter (t.carb, t.optden)
-# TODO: Add a linear model line
-xlabel ("Carbohydrate (ml)")
-ylabel ("Optical Density")
-title ("Formaldehyde data")
-
-# TODO: Add linear model summary output
-# TOD: Add linear model summary plot
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.25 tblish.dataset.freeny

- -
-
Static Method: out = freeny ()
-
-

Freeny’s Revenue Data -

-

Description

- -

Freeny’s data on quarterly revenue and explanatory variables. -

-

Format

- -

Freeny’s dataset consists of one observed dependent variable -(revenue) and four explanatory variables (lagged quartery -revenue, price index, income level, and market potential). -

-
-
date
-

Start date of the quarter for the observation. -

-
y
-

Observed quarterly revenue. -TODO: Determine units (probably millions of USD?) -

-
lag_quarterly_revenue
-

Quarterly revenue (y), lagged 1 quarter. -

-
price_index
-

A price index -

-
income_level
-

??? TODO: Fill this in -

-
market_potential
-

??? TODO: Fill this in -

-
- -

Source

- -

Freeny, A. E. (1977). A Portable Linear Regression Package with Test -Programs. Bell Laboratories memorandum. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.freeny;
-
-summary (t)
-
-tblish.examples.plot_pairs (removevars (t, "date"))
-
-# TODO: Create linear model and print summary
-
-# TODO: Linear model plot
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.26 tblish.dataset.HairEyeColor

- -
-
Static Method: out = HairEyeColor ()
-
-

Hair and Eye Color of Statistics Students -

-

Description

- -

Distribution of hair and eye color and sex in 592 statistics students. -

-

Format

- -

This data set comes in multiple variables -

-
-
n
-

A 3-dimensional array containing the counts of students in each bucket. It -is arranged as hair-by-eye-by-sex. -

-
hair
-

Hair colors for the indexes along dimension 1. -

-
eye
-

Eye colors for the indexes along dimension 2. -

-
sex
-

Sexes for the indexes along dimension 3. -

-
- -

Details

- -

The Hair x Eye table comes rom a survey of students at the University of -Delaware reported by Snee (1974). The split by Sex was added by Friendly -(1992a) for didactic purposes. -

-

This data set is useful for illustrating various techniques for the analysis -of contingency tables, such as the standard chi-squared test or, more -generally, log-linear modelling, and graphical methods such as mosaic plots, -sieve diagrams or association plots. -

-

Source

- -

http://euclid.psych.yorku.ca/ftp/sas/vcd/catdata/haireye.sas -

-

Snee (1974) gives the two-way table aggregated over Sex. The Sex split of -the ‘Brown hair, Brown eye’ cell was changed to agree with that used by -Friendly (2000). -

-

References

- -

Snee, R. D. (1974). Graphical display of two-way contingency tables. -The American Statistician, 28, 9–12. -

-

Friendly, M. (1992a). Graphical methods for categorical data. SAS User -Group International Conference Proceedings, 17, 190–200. -http://www.math.yorku.ca/SCS/sugi/sugi17-paper.html -

-

Friendly, M. (1992b). Mosaic displays for loglinear models. Proceedings -of the Statistical Graphics Section, American Statistical Association, pp. -61–68. http://www.math.yorku.ca/SCS/Papers/asa92.html -

-

Friendly, M. (2000). Visualizing Categorical Data. SAS Institute, -ISBN 1-58025-660-0. -

-

Examples

- -
-
tblish.dataset.HairEyeColor
-
-# TODO: Aggregate over sex and display a table of counts
-
-# TODO: Port mosaic plot to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.27 tblish.dataset.Harman23cor

- -
-
Static Method: out = Harman23cor ()
-
-

Harman Example 2.3 -

-

Description

- -

A correlation matrix of eight physical measurements on 305 girls between -ages seven and seventeen. -

-

Format

- -
-
cov
-

An 8-by-8 correlation matrix. -

-
names
-

Names of the variables corresponding to the indexes of the correlation matrix’s -dimensions. -

-
- -

Source

- -

Harman, H. H. (1976). Modern Factor Analysis, Third Edition Revised. -Chicago: University of Chicago Press. Table 2.3. -

-

Examples

- -
-
tblish.dataset.Harman23cor;
-
-# TODO: Port factanal to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.28 tblish.dataset.Harman74cor

- -
-
Static Method: out = Harman74cor ()
-
-

Harman Example 7.4 -

-

Description

- -

A correlation matrix of 24 psychological tests given to 145 seventh and -eighth-grade children in a Chicago suburb by Holzinger and Swineford. -

-

Format

- -
-
cov
-

A 2-dimensional correlation matrix. -

-
vars
-

Names of the variables corresponding to the indexes along the dimensions of -cov. -

-
- -

Source

- -

Harman, H. H. (1976). Modern Factor Analysis, Third Edition -Revised. Chicago: University of Chicago Press. Table 7.4. -

-

Examples

- -
-
tblish.dataset.Harman74cor;
-
-# TODO: Port factanal to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.29 tblish.dataset.Indometh

- -
-
Static Method: out = Indometh ()
-
-

Pharmacokinetics of Indomethacin -

-

Description

- -

Data on the pharmacokinetics of indometacin (or, older spelling, -‘indomethacin’). -

-

Format

- -
-
Subject
-

Subject identifier. -

-
time
-

Time since drug administration at which samples were drawn (hours). -

-
conc
-

Plasma concentration of indomethacin (mcg/ml). -

-
- -

Details

- -

Each of the six subjects were given an intravenous injection of indometacin. -

-

Source

- -

Kwan, Breault, Umbenhauer, McMahon and Duggan (1976). Kinetics of -Indomethacin absorption, elimination, and enterohepatic circulation in man. -Journal of Pharmacokinetics and Biopharmaceutics 4, 255–280. -

-

Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated -Measurement Data. London: Chapman & Hall. (section 5.2.4, p. 129) -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

- -
- -
-
-
-
-

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-
-

8.2.57.30 tblish.dataset.infert

- -
-
Static Method: out = infert ()
-
-

Infertility after Spontaneous and Induced Abortion -

-

Description

- -

This is a matched case-control study dating from before the availability of -conditional logistic regression. -

-

Format

- -
-
education
-

Index of the record. -

-
age
-

Age in years of case. -

-
parity
-

Count. -

-
induced
-

Number of prior induced abortions, grouped into “0”, “1”, or “2 or more”. -

-
case_status
-

0 = control, 1 = case. -

-
spontaneous
-

Number of prior spontaneous abortions, grouped into “0”, “1”, or “2 or more”. -

-
stratum
-

Matched set number. -

-
pooled_stratum
-

Stratum number. -

-
- -

Note

- -

One case with two prior spontaneous abortions and two prior induced abortions is omitted. -

-

Source

- -

Trichopoulos et al (1976). Br. J. of Obst. and Gynaec. 83, 645–650. -

-

Examples

- -
-
t = tblish.dataset.infert;
-
-# TODO: Port glm() (generalized linear model) stuff to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.31 tblish.dataset.InsectSprays

- -
-
Static Method: out = InsectSprays ()
-
-

Effectiveness of Insect Sprays -

-

Description

- -

The counts of insects in agricultural experimental units treated with different -insecticides. -

-

Format

- -
-
spray
-

The type of spray. -

-
count
-

Insect count. -

-
- -

Source

- -

Beall, G., (1942). The Transformation of data from entomological field -experiments. Biometrika, 29, 243–262. -

-

References

- -

McNeil, D. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.InsectSprays;
-
-# TODO: boxplot
-
-# TODO: AOV plots
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.32 tblish.dataset.iris

- -
-
Static Method: out = iris ()
-
-

The Fisher Iris dataset: measurements of various flowers -

-

Description

- -

This is the classic Fisher Iris dataset. -

-

Format

- -
-
Species
-

The species of flower being measured. -

-
SepalLength
-

Length of sepals, in centimeters. -

-
SepalWidth
-

Width of sepals, in centimeters. -

-
PetalLength
-

Length of petals, in centimeters. -

-
PetalWidth
-

Width of petals, in centimeters. -

-
- -

Source

- -

http://archive.ics.uci.edu/ml/datasets/Iris -

-

References

- -

https://en.wikipedia.org/wiki/Iris_flower_data_set -

-

Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. -Annals of Eugenics, 7, Part II, 179-188. also in Contributions -to Mathematical Statistics (John Wiley, NY, 1950). -

-

Duda, R.O., & Hart, P.E. (1973). Pattern Classification and Scene Analysis. -(Q327.D83) New York: John Wiley & Sons. ISBN 0-471-22361-1. See page 218. -

-

The data were collected by Anderson, Edgar (1935). The irises of the Gaspe -Peninsula. Bulletin of the American Iris Society, 59, 2–5. -

-

Examples

- -
-
# TODO: Port this example from R
-
-
- -
- -
-
-
-
-

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-
-

8.2.57.33 tblish.dataset.islands

- -
-
Static Method: out = islands ()
-
-

Areas of the World’s Major Landmasses -

-

Description

- -

The areas in thousands of square miles of the landmasses which exceed 10,000 -square miles. -

-

Format

- -
-
name
-

The name of the island. -

-
area
-

The area, in thousands of square miles. -

-
- -

Source

- -

The World Almanac and Book of Facts, 1975, page 406. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.islands;
-
-# TODO: Port dot chart to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.34 tblish.dataset.JohnsonJohnson

- -
-
Static Method: out = JohnsonJohnson ()
-
-

Quarterly Earnings per Johnson & Johnson Share -

-

Description

- -

Quarterly earnings (dollars) per Johnson & Johnson share 1960–80. -

-

Format

- -
-
date
-

Start date of the quarter. -

-
earnings
-

Earnings per share (USD). -

-
- -

Source

- -

Shumway, R. H. and Stoffer, D. S. (2000). Time Series Analysis and its -Applications. Second Edition. New York: Springer. Example 1.1. -

-

Examples

- -
-
t = tblish.dataset.JohnsonJohnson
-
-# TODO: Yikes, look at all those plots. Port them to Octave.
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.35 tblish.dataset.LakeHuron

- -
-
Static Method: out = LakeHuron ()
-
-

Level of Lake Huron 1875-1972 -

-

Description

- -

Annual measurements of the level, in feet, of Lake Huron 1875–1972. -

-

Format

- -
-
year
-

Year of the measurement -

-
level
-

Lake level (ft). -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1991). Time Series and Forecasting -Methods. Second edition. New York: Springer. Series A, page 555. -

-

Brockwell, P. J. and Davis, R. A. (1996). Introduction to Time Series -and Forecasting. New York: Springer. Sections 5.1 and 7.6. -

-

Examples

- -
-
t = tblish.dataset.LakeHuron;
-
-plot (t.year, t.level)
-xlabel ("Year")
-ylabel ("Lake level (ft)")
-title ("Level of Lake Huron")
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.36 tblish.dataset.lh

- -
-
Static Method: out = lh ()
-
-

Luteinizing Hormone in Blood Samples -

-

Description

- -

A regular time series giving the luteinizing hormone in blood samples at 10 -minute intervals from a human female, 48 samples. -

-

Format

- -
-
sample
-

The number of the observation. -

-
lh
-

Level of luteinizing hormone. -

-
- -

Source

- -

P.J. Diggle (1990). Time Series: A Biostatistical Introduction. Oxford. -Table A.1, series 3. -

-

Examples

- -
-
t = tblish.dataset.lh;
-
-plot (t.sample, t.lh);
-xlabel ("Sample Number");
-ylabel ("lh level");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.37 tblish.dataset.LifeCycleSavings

- -
-
Static Method: out = LifeCycleSavings ()
-
-

Intercountry Life-Cycle Savings Data -

-

Description

- -

Data on the savings ratio 1960–1970. -

-

Format

- -
-
country
-

Name of the country. -

-
sr
-

Aggregate personal savings. -

-
pop15
-

Percentage of population under 15. -

-
pop75
-

Percentage of population over 75. -

-
dpi
-

Real per-capita disposable income. -

-
ddpi
-

Percent growth rate of dpi. -

-
- -

Details

- -

Under the life-cycle savings hypothesis as developed by Franco Modigliani, the -savings ratio (aggregate personal saving divided by disposable income) is -explained by per-capita disposable income, the percentage rate of change in -per-capita disposable income, and two demographic variables: the percentage -of population less than 15 years old and the percentage of the population over -75 years old. The data are averaged over the decade 1960–1970 to remove the -business cycle or other short-term fluctuations. -

-

Source

- -

The data were obtained from Belsley, Kuh and Welsch (1980). They in turn -obtained the data from Sterling (1977). -

-

References

- -

Sterling, Arnie (1977). Unpublished BS Thesis. Massachusetts Institute of -Technology. -

-

Belsley, D. A., Kuh. E. and Welsch, R. E. (1980). Regression Diagnostics. -New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.LifeCycleSavings;
-
-# TODO: linear model
-
-# TODO: pairs plot with Lowess smoothed line
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.38 tblish.dataset.Loblolly

- -
-
Static Method: out = Loblolly ()
-
-

Growth of Loblolly pine trees -

-

Description

- -

Records of the growth of Loblolly pine trees. -

-

Format

- -
-
height
-

Tree height (ft). -

-
age
-

Tree age (years). -

-
Seed
-

Seed source for the tree. Ordering is according to increasing maximum height. -

-
- -

Source

- -

Kung, F. H. (1986). Fitting logistic growth curve with predetermined carrying -capacity. Proceedings of the Statistical Computing Section, American -Statistical Association, 340–343. -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.Loblolly;
-
-t2 = t(t.Seed == "329",:);
-scatter (t2.age, t2.height)
-xlabel ("Tree age (yr)");
-ylabel ("Tree height (ft)");
-title ("Loblolly data and fitted curve (Seed 329 only)")
-
-# TODO: Compute and plot fitted curve
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.39 tblish.dataset.longley

- -
-
Static Method: out = longley ()
-
-

Longley’s Economic Regression Data -

-

Description

- -

A macroeconomic data set which provides a well-known example for a highly -collinear regression. -

-

Format

- -
-
Year
-

The year. -

-
GNP_deflator
-

GNP implicit price deflator (1954=100). -

-
GNP
-

Gross National Product. -

-
Unemployed
-

Number of unemployed. -

-
Armed_Forces
-

Number of people in the armed forces. -

-
Population
-

“Noninstitutionalized” population ≥ 14 years of age. -

-
Employed
-

Number of people employed. -

-
- -

Source

- -

J. W. Longley (1967). An appraisal of least-squares programs from the point of -view of the user. Journal of the American Statistical Association, 62, -819–841. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.longley;
-
-# TODO: Linear model
-# TODO: opar plot
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.40 tblish.dataset.lynx

- -
-
Static Method: out = lynx ()
-
-

Annual Canadian Lynx trappings 1821-1934 -

-

Description

- -

Annual numbers of lynx trappings for 1821–1934 in Canada. Taken from Brockwell -& Davis (1991), this appears to be the series considered by Campbell & Walker -(1977). -

-

Format

- -
-
year
-

Year of the record. -

-
lynx
-

Number of lynx trapped. -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1991). Time Series and Forecasting -Methods. Second edition. New York: Springer. Series G (page 557). -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Campbell, M. J. and Walker, A. M. (1977). A Survey of statistical work on -the Mackenzie River series of annual Canadian lynx trappings for the years -1821–1934 and a new analysis. Journal of the Royal Statistical Society -series A, 140, 411–431. -

-

Examples

- -
-
t = tblish.dataset.lynx;
-
-plot (t.year, t.lynx);
-xlabel ("Year");
-ylabel ("Lynx Trapped");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.41 tblish.dataset.morley

- -
-
Static Method: out = morley ()
-
-

Michelson Speed of Light Data -

-

Description

- -

A classical data of Michelson (but not this one with Morley) on measurements -done in 1879 on the speed of light. The data consists of five experiments, -each consisting of 20 consecutive ‘runs’. The response is the speed of -light measurement, suitably coded (km/sec, with 299000 subtracted). -

-

Format

- -
-
Expt
-

The experiment number, from 1 to 5. -

-
Run
-

The run number within each experiment. -

-
Speed
-

Speed-of-light measurement. -

-
- -

Details

- -

The data is here viewed as a randomized block experiment with experiment -and run as the factors. run may also be considered a quantitative -variate to account for linear (or polynomial) changes in the measurement over -the course of a single experiment. -

-

Source

- -

A. J. Weekes (1986). A Genstat Primer. London: Edward Arnold. -

-

S. M. Stigler (1977). Do robust estimators work with real data? Annals -of Statistics 5, 1055–1098. (See Table 6.) -

-

A. A. Michelson (1882). Experimental determination of the velocity of -light made at the United States Naval Academy, Annapolis. Astronomic -Papers, 1, 135–8. U.S. Nautical Almanac Office. (See Table 24.). -

-

Examples

- -
-
t = tblish.dataset.morley;
-
-# TODO: Port to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.42 tblish.dataset.mtcars

- -
-
Static Method: out = mtcars ()
-
-

Motor Trend 1974 Car Road Tests -

-

Description

- -

The data was extracted from the 1974 Motor Trend US magazine, and -comprises fuel consumption and 10 aspects of automobile design and -performance for 32 automobiles (1973–74 models). -

-

Format

- -
-
mpg
-

Fuel efficiency in miles/gallon -

-
cyl
-

Number of cylinders -

-
disp
-

Displacement (cu. in.) -

-
hp
-

Gross horsepower -

-
drat
-

Rear axle ratio -

-
wt
-

Weight (1,000 lbs) -

-
qsec
-

1/4 mile time -

-
vs
-

Engine type (0 = V-shaped, 1 = straight) -

-
am
-

Transmission type (0 = automatic, 1 = manual) -

-
gear
-

Number of forward gears -

-
carb
-

Number of carburetors -

-
- -

Note

- -

Henderson and Velleman (1981) comment in a footnote to Table 1: “Hocking -[original transcriber]’s noncrucial coding of the Mazda’s rotary engine -as a straight six-cylinder engine and the Porsche’s flat engine as a V -engine, as well as the inclusion of the diesel Mercedes 240D, have been -retained to enable direct comparisons to be made with previous analyses.” -

-

Source

- -

Henderson and Velleman (1981). Building multiple regression models -interactively. Biometrics, 37, 391–411. -

-

Examples

- -
-
# TODO: Port this example from R
-
- -
- -
-
-
-
-

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-
-

8.2.57.43 tblish.dataset.nhtemp

- -
-
Static Method: out = nhtemp ()
-
-

Average Yearly Temperatures in New Haven -

-

Description

- -

The mean annual temperature in degrees Fahrenheit in New Haven, Connecticut, -from 1912 to 1971. -

-

Format

- -
-
year
-

Year of the observation. -

-
temp
-

Mean annual temperature (degrees F). -

-
- -

Source

- -

Vaux, J. E. and Brinker, N. B. (1972) Cycles, 1972, 117–121. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.nhtemp;
-
-plot (t.year, t.temp);
-title ("nhtemp data");
-xlabel ("Mean annual temperature in New Haven, CT (deg. F)");
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.44 tblish.dataset.Nile

- -
-
Static Method: out = Nile ()
-
-

Flow of the River Nile -

-

Description

- -

Measurements of the annual flow of the river Nile at Aswan (formerly Assuan), -1871–1970, in m^3, “with apparent changepoint near 1898” -(Cobb(1978), Table 1, p.249). -

-

Format

- -
-
year
-

Year of the record. -

-
flow
-

Annual flow (cubic meters). -

-
- -

Source

- -

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/DKbook.html -

-

References

- -

Balke, N. S. (1993). Detecting level shifts in time series. Journal of -Business and Economic Statistics, 11, 81–92. -

-

Cobb, G. W. (1978). The problem of the Nile: conditional solution to a -change-point problem. Biometrika 65, 243–51. -

-

Examples

- -
-
t = tblish.dataset.Nile;
-
-figure
-plot (t.year, t.flow);
-
-# TODO: Port the rest of the example to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.45 tblish.dataset.nottem

- -
-
Static Method: out = nottem ()
-
-

Average Monthly Temperatures at Nottingham, 1920-1939 -

-

Description

- -

A time series object containing average air temperatures at -Nottingham Castle in degrees Fahrenheit for 20 years. -

-

Format

- -
-
record
-

Index of the record. -

-
lead
-

Leading indicator. -

-
sales
-

Sales volume. -

-
- -

Source

- -

Anderson, O. D. (1976). Time Series Analysis and Forecasting: -The Box-Jenkins approach. London: Butterworths. Series R. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.46 tblish.dataset.npk

- -
-
Static Method: out = npk ()
-
-

Classical N, P, K Factorial Experiment -

-

Description

- -

A classical N, P, K (nitrogen, phosphate, potassium) factorial experiment -on the growth of peas conducted on 6 blocks. Each half of a fractional -factorial design confounding the NPK interaction was used on 3 of the plots. -

-

Format

- -
-
block
-

Which block (1 to 6). -

-
N
-

Indicator (0/1) for the application of nitrogen. -

-
P
-

Indicator (0/1) for the application of phosphate. -

-
K
-

Indicator (0/1) for the application of potassium. -

-
yield
-

Yield of peas, in pounds/plot. Plots were 1/70 acre. -

-
- -

Source

- -

Imperial College, London, M.Sc. exercise sheet. -

-

References

- -

Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics -with S. Fourth edition. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.npk;
-
-# TODO: Port aov() and LM to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.47 tblish.dataset.occupationalStatus

- -
-
Static Method: out = occupationalStatus ()
-
-

Occupational Status of Fathers and their Sons -

-

Description

- -

Cross-classification of a sample of British males according to each subject’s -occupational status and his father’s occupational status. -

-

Format

- -

An 8-by-8 matrix of counts, with classifying fators origin (father’s -occupational status, levels 1:8) and destination (son’s -occupational status, levels 1:8). -

-

Source

- -

Goodman, L. A. (1979). Simple Models for the Analysis of Association in -Cross-Classifications having Ordered Categories. J. Am. Stat. -Assoc., 74 (367), 537–552. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.48 tblish.dataset.Orange

- -
-
Static Method: out = Orange ()
-
-

Growth of Orange Trees -

-

Description

- -

Records of the growth of orange trees. -

-

Format

- -
-
Tree
-

A categorical indicating on which tree the measurement is made. -Ordering is according to increasing maximum diameter. -

-
age
-

Age of the tree (days since 1968-12-31). -

-
circumference
-

Trunk circumference (mm). -This is probably “circumference at breast height”, a standard measurement in forestry. -

-
- -

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Draper, N. R. and Smith, H. (1998). Applied Regression Analysis (3rd ed). -New York: Wiley. (exercise 24.N). -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in S and -S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.Orange;
-
-# TODO: Port coplot to Octave
-
-# TODO: Linear model
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.49 tblish.dataset.OrchardSprays

- -
-
Static Method: out = OrchardSprays ()
-
-

Potency of Orchard Sprays -

-

Description

- -

An experiment was conducted to assess the potency of various constituents -of orchard sprays in repelling honeybees, using a Latin square design. -

-

Format

- -
-
rowpos
-

Row of the design. -

-
colpos
-

Column of the design -

-
treatment
-

Treatment level. -

-
decrease
-

Response. -

-
- -

Details

- -

Individual cells of dry comb were filled with measured amounts of lime -sulphur emulsion in sucrose solution. Seven different concentrations of lime -sulphur ranging from a concentration of 1/100 to 1/1,562,500 in successive -factors of 1/5 were used as well as a solution containing no lime sulphur. -

-

The responses for the different solutions were obtained by releasing 100 -bees into the chamber for two hours, and then measuring the decrease in volume -of the solutions in the various cells. -

-

An 8 x 8 Latin square design was used and the treatments were coded as follows: -

-

A – highest level of lime sulphur -B – next highest level of lime sulphur -… -G – lowest level of lime sulphur -H – no lime sulphur -

-

Source

- -

Finney, D. J. (1947). Probit Analysis. Cambridge. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.OrchardSprays;
-
-tblish.examples.plot_pairs (t);
-
-
- - -
- -
-
-
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-

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-
-

8.2.57.50 tblish.dataset.PlantGrowth

- -
-
Static Method: out = PlantGrowth ()
-
-

Results from an Experiment on Plant Growth -

-

Description

- -

Results from an experiment to compare yields (as measured by dried weight of -plants) obtained under a control and two different treatment conditions. -

-

Format

- -
-
group
-

Treatment condition group. -

-
weight
-

Weight of plants. -

-
- -

Source

- -

Dobson, A. J. (1983). An Introduction to Statistical Modelling. -London: Chapman and Hall. -

-

Examples

- -
-
t = tblish.dataset.PlantGrowth;
-
-# TODO: Port anova to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.51 tblish.dataset.precip

- -
-
Static Method: out = precip ()
-
-

Annual Precipitation in US Cities -

-

Description

- -

The average amount of precipitation (rainfall) in inches for each of 70 United -States (and Puerto Rico) cities. -

-

Format

- -
-
city
-

City observed. -

-
precip
-

Annual precipitation (in). -

-
- -

Source

- -

Statistical Abstracts of the United States, 1975. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.precip;
-
-# TODO: Port dot plot to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.52 tblish.dataset.presidents

- -
-
Static Method: out = presidents ()
-
-

Quarterly Approval Ratings of US Presidents -

-

Description

- -

The (approximately) quarterly approval rating for the President of the United -States from the first quarter of 1945 to the last quarter of 1974. -

-

Format

- -
-
date
-

Approximate date of the observation. -

-
approval
-

Approval rating (%). -

-
- -

Details

- -

The data are actually a fudged version of the approval ratings. See McNeil’s book -for details. -

-

Source

- -

The Gallup Organisation. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.presidents;
-
-figure
-plot (datenum (t.date), t.approval)
-datetick ("x")
-xlabel ("Date")
-ylabel ("Approval rating (%)")
-title ("presidents data")
-
-
- - -
- -
-
-
-
-

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-

8.2.57.53 tblish.dataset.pressure

- -
-
Static Method: out = pressure ()
-
-

Vapor Pressure of Mercury as a Function of Temperature -

-

Description

- -

Data on the relation between temperature in degrees Celsius and vapor pressure -of mercury in millimeters (of mercury). -

-

Format

- -
-
temperature
-

Temperature (deg C). -

-
pressure
-

Pressure (mm Hg). -

-
- -

Source

- -

Weast, R. C., ed. (1973). Handbook of Chemistry and Physics. Cleveland: CRC Press. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.pressure;
-
-figure
-plot (t.temperature, t.pressure)
-xlabel ("Temperature (deg C)")
-ylabel ("Pressure (mm of Hg)")
-title ("pressure data: Vapor Pressure of Mercury")
-
-figure
-semilogy (t.temperature, t.pressure)
-xlabel ("Temperature (deg C)")
-ylabel ("Pressure (mm of Hg)")
-title ("pressure data: Vapor Pressure of Mercury")
-
-
-
- - -
- -
-
-
-
-

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-
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8.2.57.54 tblish.dataset.Puromycin

- -
-
Static Method: out = Puromycin ()
-
-

Reaction Velocity of an Enzymatic Reaction -

-

Description

- -

Reaction velocity versus substrate concentration in an enzymatic reaction -involving untreated cells or cells treated with Puromycin. -

-

Format

- -
-
state
-

Whether the cell was treated. -

-
conc
-

Substrate concentrations (ppm). -

-
rate
-

Instantaneous reaction rates (counts/min/min). -

-
- -

Details

- -

Data on the velocity of an enzymatic reaction were obtained by Treloar -(1974). The number of counts per minute of radioactive product from the -reaction was measured as a function of substrate concentration in parts per -million (ppm) and from these counts the initial rate (or velocity) of the -reaction was calculated (counts/min/min). The experiment was conducted once -with the enzyme treated with Puromycin, and once with the enzyme untreated. -

-

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Bates, D.M. and Watts, D.G. (1988). Nonlinear Regression Analysis and -Its Applications. New York: Wiley. Appendix A1.3. -

-

Treloar, M. A. (1974). Effects of Puromycin on Galactosyltransferase -in Golgi Membranes. M.Sc. Thesis, U. of Toronto. -

-

Examples

- -
-
t = tblish.dataset.Puromycin;
-
-# TODO: Port example to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.55 tblish.dataset.quakes

- -
-
Static Method: out = quakes ()
-
-

Locations of Earthquakes off Fiji -

-

Description

- -

The data set give the locations of 1000 seismic events of MB > 4.0. The events -occurred in a cube near Fiji since 1964. -

-

Format

- -
-
lat
-

Latitude of event. -

-
long
-

Longitude of event. -

-
depth
-

Depth (km). -

-
mag
-

Richter magnitude. -

-
stations
-

Number of stations reporting. -

-
- -

Details

- -

There are two clear planes of seismic activity. One is a major plate junction; -the other is the Tonga trench off New Zealand. These data constitute a subsample -from a larger dataset of containing 5000 observations. -

-

Source

- -

This is one of the Harvard PRIM-H project data sets. They in turn obtained it -from Dr. John Woodhouse, Dept. of Geophysics, Harvard University. -

-

References

- -

G. E. P. Box and G. M. Jenkins (1976). Time Series Analysis, Forecasting and -Control. San Francisco: Holden-Day. p. 537. -

-

P. J. Brockwell and R. A. Davis (1991). Time Series: Theory and Methods. -Second edition. New York: Springer-Verlag. p. 414. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.56 tblish.dataset.randu

- -
-
Static Method: out = randu ()
-
-

Random Numbers from Congruential Generator RANDU -

-

Description

- -

400 triples of successive random numbers were taken from the VAX FORTRAN -function RANDU running under VMS 1.5. -

-

Format

- -
-
record
-

Index of the record. -

-
x
-

X value of the triple. -

-
y
-

Y value of the triple. -

-
z
-

Z value of the triple. -

-
- -

Details

- -

In three dimensional displays it is evident that the triples fall on 15 -parallel planes in 3-space. This can be shown theoretically to be true -for all triples from the RANDU generator. -

-

These particular 400 triples start 5 apart in the sequence, that is they -are ((U[5i+1], U[5i+2], U[5i+3]), i= 0, ..., 399), and they are rounded -to 6 decimal places. -

-

Under VMS versions 2.0 and higher, this problem has been fixed. -

-

Source

- -

David Donoho -

-

Examples

- -
-
t = tblish.dataset.randu;
-
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.57 tblish.dataset.rivers

- -
-
Static Method: out = rivers ()
-
-

Lengths of Major North American Rivers -

-

Description

- -

This data set gives the lengths (in miles) of 141 “major” rivers in North -America, as compiled by the US Geological Survey. -

-

Format

- -
-
rivers
-

A vector containing 141 observations. -

-
- -

Source

- -

World Almanac and Book of Facts, 1975, page 406. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.rivers;
-
-longest_river = max (rivers)
-shortest_river = min (rivers)
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.58 tblish.dataset.rock

- -
-
Static Method: out = rock ()
-
-

Measurements on Petroleum Rock Samples -

-

Description

- -

Measurements on 48 rock samples from a petroleum reservoir. -

-

Format

- -
-
area
-

Area of pores space, in pixels out of 256 by 256. -

-
peri
-

Perimeter in pixels. -

-
shape
-

Perimeter/sqrt(area). -

-
perm
-

Permeability in milli-Darcies. -

-
- -

Details

- -

Twelve core samples from petroleum reservoirs were sampled by 4 -cross-sections. Each core sample was measured for permeability, and each -cross-section has total area of pores, total perimeter of pores, and shape. -

-

Source

- -

Data from BP Research, image analysis by Ronit Katz, U. Oxford. -

-

Examples

- -
-
t = tblish.dataset.rock;
-
-figure
-scatter (t.area, t.perm)
-xlabel ("Area of pores space (pixels out of 256x256)")
-ylabel ("Permeability (milli-Darcies)")
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.59 tblish.dataset.sleep

- -
-
Static Method: out = sleep ()
-
-

Student’s Sleep Data -

-

Description

- -

Data which show the effect of two soporific drugs (increase in hours of sleep -compared to control) on 10 patients. -

-

Format

- -
-
id
-

Patient ID. -

-
group
-

Drug given. -

-
extra
-

Increase in hours of sleep. -

-
- -

Details

- -

The group variable name may be misleading about the data: They -represent measurements on 10 persons, not in groups. -

-

Source

- -

Cushny, A. R. and Peebles, A. R. (1905). The action of optical isomers: -II hyoscines. The Journal of Physiology, 32, 501–510. -

-

Student (1908). The probable error of the mean. Biometrika, 6, 20. -

-

References

- -

Scheffé, Henry (1959). The Analysis of Variance. New York, NY: Wiley. -

-

Examples

- -
-
t = tblish.dataset.sleep;
-
-# TODO: Port to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.60 tblish.dataset.stackloss

- -
-
Static Method: out = stackloss ()
-
-

Brownlee’s Stack Loss Plant Data -

-

Description

- -

Operational data of a plant for the oxidation of ammonia to nitric acid. -

-

Format

- -
-
AirFlow
-

Flow of cooling air. -

-
WaterTemp
-

Cooling Water Inlet temperature. -

-
AcidConc
-

Concentration of acid (per 1000, minus 500). -

-
StackLoss
-

Stack loss -

-
- -

Details

- -

“Obtained from 21 days of operation of a plant for the oxidation of ammonia -(NH3) to nitric acid (HNO3). The nitric oxides produced are absorbed in a -countercurrent absorption tower”. (Brownlee, cited by Dodge, slightly reformatted by MM.) -

-

AirFlow represents the rate of operation of the plant. WaterTemp is the -temperature of cooling water circulated through coils in the absorption tower. -AcidConc is the concentration of the acid circulating, minus 50, times 10: -that is, 89 corresponds to 58.9 per cent acid. StackLoss (the dependent variable) -is 10 times the percentage of the ingoing ammonia to the plant that escapes from -the absorption column unabsorbed; that is, an (inverse) measure of the over-all -efficiency of the plant. -

-

Source

- -

Brownlee, K. A. (1960, 2nd ed. 1965). Statistical Theory and Methodology -in Science and Engineering. New York: Wiley. pp. 491–500. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Dodge, Y. (1996). The guinea pig of multiple regression. In: Robust -Statistics, Data Analysis, and Computer Intensive Methods; In Honor of -Peter Huber’s 60th Birthday, 1996, Lecture Notes in Statistics -109, Springer-Verlag, New York. -

-

Examples

- -
-
t = tblish.dataset.stackloss;
-
-# TODO: Create linear model and print summary
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.61 tblish.dataset.state

- -
-
Static Method: out = state ()
-
-

US State Facts and Figures -

-

Description

- -

Data related to the 50 states of the United States of America. -

-

Format

- -
-
abb
-

State abbreviation. -

-
name
-

State name. -

-
area
-

Area (sq mi). -

-
lat
-

Approximate center (latitude). -

-
lon
-

Approximate center (longitude). -

-
division
-

State division. -

-
revion
-

State region. -

-
Population
-

Population estimate as of July 1, 1975. -

-
Income
-

Per capita income (1974). -

-
Illiteracy
-

Illiteracy as of 1970 (percent of population). -

-
LifeExp
-

Lfe expectancy in years (1969-71). -

-
Murder
-

Murder and non-negligent manslaughter rate per 100,000 population (1976). -

-
HSGrad
-

Percent high-school graduates (1970). -

-
Frost
-

Mean number of days with minimum temperature below freezing (1931-1960) -in capital or large city. -

-
- -

Source

- -

U.S. Department of Commerce, Bureau of the Census (1977) Statistical -Abstract of the United States. -

-

U.S. Department of Commerce, Bureau of the Census (1977) County -and City Data Book. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.state;
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.62 tblish.dataset.sunspot_month

- -
-
Static Method: out = sunspot_month ()
-
-

Monthly Sunspot Data, from 1749 to “Present” -

-

Description

- -

Monthly numbers of sunspots, as from the World Data Center, aka SIDC. This -is the version of the data that may occasionally be updated when new counts -become available. -

-

Format

- -
-
month
-

Month of the observation. -

-
sunspots
-

Number of sunspots. -

-
- -

Source

- -

WDC-SILSO, Solar Influences Data Analysis Center (SIDC), Royal Observatory -of Belgium, Av. Circulaire, 3, B-1180 BRUSSELS. -Currently at http://www.sidc.be/silso/datafiles. -

-

Examples

- -
-
t = tblish.dataset.sunspot_month;
-
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.63 tblish.dataset.sunspot_year

- -
-
Static Method: out = sunspot_year ()
-
-

Yearly Sunspot Data, 1700-1988 -

-

Description

- -

Yearly numbers of sunspots from 1700 to 1988 (rounded to one digit). -

-

Format

- -
-
year
-

Year of the observation. -

-
sunspots
-

Number of sunspots. -

-
- -

Source

- -

H. Tong (1996) Non-Linear Time Series. Clarendon Press, Oxford, p. 471. -

-

Examples

- -
-
t = tblish.dataset.sunspot_year;
-
-figure
-plot (t.year, t.sunspots)
-xlabel ("Year")
-ylabel ("Sunspots")
-
-
- - -
- -
-
-
-
-

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-

8.2.57.64 tblish.dataset.sunspots

- -
-
Static Method: out = sunspots ()
-
-

Monthly Sunspot Numbers, 1749-1983 -

-

Description

- -

Monthly mean relative sunspot numbers from 1749 to 1983. Collected at Swiss -Federal Observatory, Zurich until 1960, then Tokyo Astronomical Observatory. -

-

Format

- -
-
month
-

Month of the observation. -

-
sunspots
-

Number of observed sunspots. -

-
- -

Source

- -

Andrews, D. F. and Herzberg, A. M. (1985) Data: A Collection -of Problems from Many Fields for the Student and Research Worker. -New York: Springer-Verlag. -

-

Examples

- -
-
t = tblish.dataset.sunspots;
-
-figure
-plot (datenum (t.month), t.sunspots)
-datetick ("x")
-xlabel ("Date")
-ylabel ("Monthly sunspot numbers")
-title ("sunspots data")
-
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.65 tblish.dataset.swiss

- -
-
Static Method: out = swiss ()
-
-

Swiss Fertility and Socioeconomic Indicators (1888) Data -

-

Description

- -

Standardized fertility measure and socio-economic indicators for each of 47 -French-speaking provinces of Switzerland at about 1888. -

-

Format

- -
-
Fertility
-

Ig, ‘common standardized fertility measure’. -

-
Agriculture
-

% of males involved in agriculture as occupation. -

-
Examination
-

% draftees receiving highest mark on army examination. -

-
Education
-

% education beyond primary school for draftees. -

-
Catholic
-

% ‘Catholic’ (as opposed to ‘Protestant’). -

-
InfantMortality
-

Live births who live less than 1 year. -

-
- -

All variables but ‘Fertility’ give proportions of the population. -

-

Source

- -

(paraphrasing Mosteller and Tukey): -

-

Switzerland, in 1888, was entering a period known as the demographic transition; -i.e., its fertility was beginning to fall from the high level typical of -underdeveloped countries. -

-

The data collected are for 47 French-speaking “provinces” at about 1888. -

-

Here, all variables are scaled to [0, 100], where in the original, all but -Catholic were scaled to [0, 1]. -

-

Note

- -

Files for all 182 districts in 1888 and other years have been available at -https://opr.princeton.edu/archive/pefp/switz.aspx. -

-

They state that variables Examination and Education are averages -for 1887, 1888 and 1889. -

-

References

- -

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S -Language. Monterey: Wadsworth & Brooks/Cole. -

-

Examples

- -
-
t = tblish.dataset.swiss;
-
-# TODO: Port linear model to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.66 tblish.dataset.Theoph

- -
-
Static Method: out = Theoph ()
-
-

Pharmacokinetics of Theophylline -

-

Description

- -

An experiment on the pharmacokinetics of theophylline. -

-

Format

- -
-
Subject
-

Categorical identifying the subject on whom the observation was made. The -ordering is by increasing maximum concentration of theophylline observed. -

-
Wt
-

Weight of the subject (kg). -

-
Dose
-

Dose of theophylline administerred orally to the subject (mg/kg). -

-
Time
-

Time since drug administration when the sample was drawn (hr). -

-
conc
-

Theophylline concentration in the sample (mg/L). -

-
- -

Details

- -

Boeckmann, Sheiner and Beal (1994) report data from a study by Dr. Robert -Upton of the kinetics of the anti-asthmatic drug theophylline. Twelve subjects -were given oral doses of theophylline then serum concentrations were measured -at 11 time points over the next 25 hours. -

-

These data are analyzed in Davidian and Giltinan (1995) and Pinheiro and Bates -(2000) using a two-compartment open pharmacokinetic model, for which a -self-starting model function, SSfol, is available. -

-

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Boeckmann, A. J., Sheiner, L. B. and Beal, S. L. (1994). NONMEM Users -Guide: Part V. NONMEM Project Group, University of California, San Francisco. -

-

Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated -Measurement Data. London: Chapman & Hall. (section 5.5, p. 145 and section 6.6, p. 176) -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models in -S and S-PLUS. New York: Springer. (Appendix A.29) -

-

Examples

- -
-
t = tblish.dataset.Theoph;
-
-# TODO: Coplot
-# TODO: Yet another linear model to port to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.67 tblish.dataset.Titanic

- -
-
Static Method: out = Titanic ()
-
-

Survival of passengers on the Titanic -

-

Description

- -

This data set provides information on the fate of passengers on the fatal -maiden voyage of the ocean liner ‘Titanic’, summarized according to -economic status (class), sex, age and survival. -

-

Format

- -

n is a 4-dimensional array resulting from cross-tabulating 2201 observations -on 4 variables. The dimensions of the array correspond to the following variables: -

-
-
Class
-

1st, 2nd, 3rd, Cre. -

-
Sex
-

Male, Female. -

-
Age
-

Child, Adult. -

-
Survived
-

No, Yes. -

-
- -

Details

- -

The sinking of the Titanic is a famous event, and new books are still being -published about it. Many well-known facts—from the proportions of first-class -passengers to the ‘women and children first’ policy, and the fact that that -policy was not entirely successful in saving the women and children in the -third class—are reflected in the survival rates for various classes of -passenger. -

-

These data were originally collected by the British Board of Trade in their -investigation of the sinking. Note that there is not complete agreement among -primary sources as to the exact numbers on board, rescued, or lost. -

-

Due in particular to the very successful film ‘Titanic’, the last years saw a -rise in public interest in the Titanic. Very detailed data about the passengers -is now available on the Internet, at sites such as Encyclopedia Titanica -(https://www.encyclopedia-titanica.org/). -

-

Source

- -

Dawson, Robert J. MacG. (1995). The ‘Unusual Episode’ Data Revisited. -Journal of Statistics Education, 3. -

-

The source provides a data set recording class, sex, age, and survival status -for each person on board of the Titanic, and is based on data originally -collected by the British Board of Trade and reprinted in: -

-

British Board of Trade (1990). Report on the Loss of the ‘Titanic’ -(S.S.). British Board of Trade Inquiry Report (reprint). Gloucester, -UK: Allan Sutton Publishing. -

-

Examples

- -
-
tblish.dataset.Titanic;
-
-# TODO: Port mosaic plot to Octave
-
-# TODO: Check for higher survival rates in children and females
-
-
- - -
- -
-
-
-
-

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-

8.2.57.68 tblish.dataset.ToothGrowth

- -
-
Static Method: out = ToothGrowth ()
-
-

The Effect of Vitamin C on Tooth Growth in Guinea Pigs -

-

Description

- -

The response is the length of odontoblasts (cells responsible for tooth growth) -in 60 guinea pigs. Each animal received one of three dose levels of vitamin C -(0.5, 1, and 2 mg/day) by one of two delivery methods, orange juice or -ascorbic acid (a form of vitamin C and coded as VC). -

-

Format

- -
-
supp
-

Supplement type. -

-
dose
-

Dose (mg/day). -

-
len
-

Tooth length. -

-
- -

Source

- -

C. I. Bliss (1952). The Statistics of Bioassay. Academic Press. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Crampton, E. W. (1947). The growth of the odontoblast of the incisor -teeth as a criterion of vitamin C intake of the guinea pig. The -Journal of Nutrition, 33(5), 491–504. -

-

Examples

- -
-
t = tblish.dataset.ToothGrowth;
-
-tblish.examples.coplot (t, "dose", "len", "supp");
-
-# TODO: Port Lowess smoothing to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.69 tblish.dataset.treering

- -
-
Static Method: out = treering ()
-
-

Yearly Treering Data, -6000-1979 -

-

Description

- -

Contains normalized tree-ring widths in dimensionless units. -

-

Format

- -

A univariate time series with 7981 observations. -

-

Each tree ring corresponds to one year. -

-

Details

- -

The data were recorded by Donald A. Graybill, 1980, from Gt Basin -Bristlecone Pine 2805M, 3726-11810 in Methuselah Walk, California. -

-

Source

- -

Time Series Data Library: http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/, -series ‘CA535.DAT’. -

-

References

- -

For some photos of Methuselah Walk see -https://web.archive.org/web/20110523225828/http://www.ltrr.arizona.edu/~hallman/sitephotos/meth.html. -

-

Examples

- -
-
t = tblish.dataset.treering;
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.70 tblish.dataset.trees

- -
-
Static Method: out = trees ()
-
-

Diameter, Height and Volume for Black Cherry Trees -

-

Description

- -

This data set provides measurements of the diameter, height and volume of -timber in 31 felled black cherry trees. Note that the diameter (in inches) -is erroneously labelled Girth in the data. It is measured at 4 ft 6 in -above the ground. -

-

Format

- -
-
Girth
-

Tree diameter (rather than girth, actually) in inches. -

-
Height
-

Height in ft. -

-
Volume
-

Volume of timber in cubic feet. -

-
- -

Source

- -

Ryan, T. A., Joiner, B. L. and Ryan, B. F. (1976). The Minitab -Student Handbook. Duxbury Press. -

-

References

- -

Atkinson, A. C. (1985). Plots, Transformations and Regression. -Oxford: Oxford University Press. -

-

Examples

- -
-
t = tblish.dataset.trees;
-
-figure
-tblish.examples.plot_pairs (t);
-
-figure
-loglog (t.Girth, t.Volume)
-xlabel ("Girth")
-ylabel ("Volume")
-
-# TODO: Transform to log space for the coplot
-
-# TODO: Linear model
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.71 tblish.dataset.UCBAdmissions

- -
-
Static Method: out = UCBAdmissions ()
-
-

Student Admissions at UC Berkeley -

-

Description

- -

Aggregate data on applicants to graduate school at Berkeley for the six -largest departments in 1973 classified by admission and sex. -

-

Format

- -

A 3-dimensional array resulting from cross-tabulating 4526 observations on -3 variables. The variables and their levels are as follows: -

-
-
Admit
-

Admitted, Rejected. -

-
Gender
-

Male, Female. -

-
Dept
-

A, B, C, D, E, F. -

-
- -

Details

- -

This data set is frequently used for illustrating Simpson’s paradox, see -Bickel et al (1975). At issue is whether the data show evidence of sex bias -in admission practices. There were 2691 male applicants, of whom 1198 (44.5%) -were admitted, compared with 1835 female applicants of whom 557 (30.4%) were -admitted. This gives a sample odds ratio of 1.83, indicating that males were -almost twice as likely to be admitted. In fact, graphical methods (as in the -example below) or log-linear modelling show that the apparent association -between admission and sex stems from differences in the tendency of males -and females to apply to the individual departments (females used to apply -more to departments with higher rejection rates). -

-

Source

- -

The data are given in Box & Jenkins (1976). Obtained from the Time Series Data -Library at http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/. -

-

References

- -

Bickel, P. J., Hammel, E. A., and O’Connell, J. W. (1975). Sex bias in -graduate admissions: Data from Berkeley. Science, 187, 398–403. -http://www.jstor.org/stable/1739581. -

-

Examples

- -
-
tblish.dataset.UCBAdmissions;
-
-# TODO: Port mosaic plot to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.72 tblish.dataset.UKDriverDeaths

- -
-
Static Method: out = UKDriverDeaths ()
-
-

Road Casualties in Great Britain 1969-84 -

-

Description

- -

UKDriverDeaths is a time series giving the monthly totals of car drivers in Great Britain killed -or seriously injured Jan 1969 to Dec 1984. Compulsory wearing of seat belts -was introduced on 31 Jan 1983. -

-

Seatbelts is more information on the same problem. -

-

Format

- -

UKDriverDeaths is a table with the following variables: -

-
-
month
-

Month of the observation. -

-
deaths
-

Number of deaths. -

-
- -

Seatbelts is a table with the following variables: -

-
-
month
-

Month of the observation. -

-
DriversKilled
-

Car drivers killed. -

-
drivers
-

Same as UKDriverDeaths deaths count. -

-
front
-

Front-seat passengers killed or seriously injured. -

-
rear
-

Rear-seat passengers killed or seriously injured. -

-
kms
-

Distance driven. -

-
PetrolPrice
-

Petrol price. -

-
VanKilled
-

Number of van (“light goods vehicle”) drivers killed. -

-
law
-

0/1: was the seatbelt law in effect that month? -

-
- -

Source

- -

Harvey, A.C. (1989). Forecasting, Structural Time Series Models and -the Kalman Filter. Cambridge: Cambridge University Press. pp. 519–523. -

-

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/dkbook/ -

-

References

- -

Harvey, A. C. and Durbin, J. (1986). The effects of seat belt legislation -on British road casualties: A case study in structural time series -modelling. Journal of the Royal Statistical Society series A, 149, 187–227. -

-

Examples

- -
-
tblish.dataset.UKDriverDeaths;
-d = UKDriverDeaths;
-s = Seatbelts;
-
-# TODO: Port the model and plots to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.73 tblish.dataset.UKgas

- -
-
Static Method: out = UKgas ()
-
-

UK Quarterly Gas Consumption -

-

Description

- -

Quarterly UK gas consumption from 1960Q1 to 1986Q4, in millions of therms. -

-

Format

- -
-
date
-

Quarter of the observation -

-
gas
-

Gas consumption (MM therms). -

-
- -

Source

- -

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/dkbook/. -

-

Examples

- -
-
t = tblish.dataset.UKgas;
-
-plot (datenum (t.date), t.gas);
-datetick ("x")
-xlabel ("Month")
-ylabel ("Gas consumption (MM therms)")
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.74 tblish.dataset.UKLungDeaths

- -
-
Static Method: out = UKLungDeaths ()
-
-

Monthly Deaths from Lung Diseases in the UK -

-

Description

- -

Three time series giving the monthly deaths from bronchitis, emphysema and -asthma in the UK, 1974–1979. -

-

Format

- -
-
date
-

Month of the observation. -

-
ldeaths
-

Total lung deaths. -

-
fdeaths
-

Lung deaths among females. -

-
mdeaths
-

Lung deaths among males. -

-
- -

Source

- -

P. J. Diggle (1990). Time Series: A Biostatistical Introduction. Oxford. table A.3 -

-

Examples

- -
-
t = tblish.dataset.UKLungDeaths;
-
-figure
-plot (datenum (t.date), t.ldeaths);
-title ("Total UK Lung Deaths")
-xlabel ("Month")
-ylabel ("Deaths")
-
-figure
-plot (datenum (t.date), [t.fdeaths t.mdeaths]);
-title ("UK Lung Deaths buy sex")
-legend ({"Female", "Male"})
-xlabel ("Month")
-ylabel ("Deaths")
-
-
- - -
- -
-
-
-
-

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-

8.2.57.75 tblish.dataset.USAccDeaths

- -
-
Static Method: out = USAccDeaths ()
-
-

Accidental Deaths in the US 1973-1978 -

-

Description

- -

A time series giving the monthly totals of accidental deaths in the USA. -

-

Format

- -
-
month
-

Month of the observation. -

-
deaths
-

Accidental deaths. -

-
- -

Source

- -

Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods. -New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.USAccDeaths;
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.76 tblish.dataset.USArrests

- -
-
Static Method: out = USArrests ()
-
-

Violent Crime Rates by US State -

-

Description

- -

This data set contains statistics, in arrests per 100,000 residents for -assault, murder, and rape in each of the 50 US states in 1973. Also given -is the percent of the population living in urban areas. -

-

Format

- -
-
State
-

State name. -

-
Murder
-

Murder arrests (per 100,000). -

-
Assault
-

Assault arrests (per 100,000). -

-
UrbanPop
-

Percent urban population. -

-
Rape
-

Rape arrests (per 100,000). -

-
- -

Note

- -

USArrests contains the data as in McNeil’s monograph. For the -UrbanPop percentages, a review of the table (No. 21) in the -Statistical Abstracts 1975 reveals a transcription error for Maryland -(and that McNeil used the same “round to even” rule), as found by -Daniel S Coven (Arizona). -

-

See the example below on how to correct the error and improve accuracy -for the ‘<n>.5’ percentages. -

-

Source

- -

World Almanac and Book of Facts 1975. (Crime rates). -

-

Statistical Abstracts of the United States 1975, p.20, (Urban rates), -possibly available as https://books.google.ch/books?id=zl9qAAAAMAAJ&pg=PA20. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.USArrests;
-
-summary (t);
-
-tblish.examples.plot_pairs (t(:,2:end));
-
-# TODO: Difference between USArrests and its correction
-
-# TODO: +/- 0.5 to restore the original <n>.5 percentages
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.77 tblish.dataset.USJudgeRatings

- -
-
Static Method: out = USJudgeRatings ()
-
-

Lawyers’ Ratings of State Judges in the US Superior Court -

-

Description

- -

Lawyers’ ratings of state judges in the US Superior Court. -

-

Format

- -
-
CONT
-

Number of contacts of lawyer with judge. -

-
INTG
-

Judicial integrity. -

-
DMNR
-

Demeanor. -

-
DILG
-

Diligence. -

-
CFMG
-

Case flow managing. -

-
DECI
-

Prompt decisions. -

-
PREP
-

Preparation for trial. -

-
FAMI
-

Familiarity with law. -

-
ORAL
-

Sound oral rulings. -

-
WRIT
-

Sound written rulings. -

-
PHYS
-

Physical ability. -

-
RTEN
-

Worthy of retention. -

-
- -

Source

- -

New Haven Register, 14 January, 1977 (from John Hartigan). -

-

Examples

- -
-
t = tblish.dataset.USJudgeRatings;
-
-figure
-tblish.examples.plot_pairs (t(:,2:end));
-title ("USJudgeRatings data")
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.78 tblish.dataset.USPersonalExpenditure

- -
-
Static Method: out = USPersonalExpenditure ()
-
-

Personal Expenditure Data -

-

Description

- -

This data set consists of United States personal expenditures (in billions -of dollars) in the categories: food and tobacco, household operation, -medical and health, personal care, and private education for the years 1940, -1945, 1950, 1955 and 1960. -

-

Format

- -

A 2-dimensional matrix x with Category along dimension 1 and Year along dimension 2. -

-

Source

- -

The World Almanac and Book of Facts, 1962, page 756. -

-

References

- -

Tukey, J. W. (1977). Exploratory Data Analysis. Reading, Mass: Addison-Wesley. -

-

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.USPersonalExpenditure;
-
-# TODO: Port medpolish() from R, whatever that is.
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.79 tblish.dataset.uspop

- -
-
Static Method: out = uspop ()
-
-

Populations Recorded by the US Census -

-

Description

- -

This data set gives the population of the United States -(in millions) as recorded by the decennial census for the period 1790–1970. -

-

Format

- -
-
year
-

Year of the census. -

-
population
-

Population, in millions. -

-
- -

Source

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.uspop;
-
-figure
-semilogy (t.year, t.population)
-xlabel ("Year")
-ylabel ("U.S. Population (millions)")
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.80 tblish.dataset.VADeaths

- -
-
Static Method: out = VADeaths ()
-
-

Death Rates in Virginia (1940) -

-

Description

- -

Death rates per 1000 in Virginia in 1940. -

-

Format

- -

A 2-dimensional matrix deaths, with age group along dimension 1 and -demographic group along dimension 2. -

-

Details

- -

The death rates are measured per 1000 population per year. They are -cross-classified by age group (rows) and population group (columns). The -age groups are: 50–54, 55–59, 60–64, 65–69, 70–74 and the population groups -are Rural/Male, Rural/Female, Urban/Male and Urban/Female. -

-

This provides a rather nice 3-way analysis of variance example. -

-

Source

- -

Molyneaux, L., Gilliam, S. K., and Florant, L. C.(1947) Differences -in Virginia death rates by color, sex, age, and rural or urban -residence. American Sociological Review, 12, 525–535. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.VADeaths;
-
-# TODO: Port to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.81 tblish.dataset.volcano

- -
-
Static Method: out = volcano ()
-
-

Topographic Information on Auckland’s Maunga Whau Volcano -

-

Description

- -

Maunga Whau (Mt Eden) is one of about 50 volcanos in the Auckland volcanic -field. This data set gives topographic information for Maunga Whau on a -10m by 10m grid. -

-

Format

- -

A matrix volcano with 87 rows and 61 columns, rows corresponding -to grid lines running east to west and columns to grid lines running south -to north. -

-

Source

- -

Digitized from a topographic map by Ross Ihaka. These data should not be regarded as accurate. -

-

References

- -

Box, G. E. P. and Jenkins, G. M. (1976). Time Series Analysis, Forecasting and -Control. San Francisco: Holden-Day. p. 537. -

-

Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods. -Second edition. New York: Springer-Verlag. p. 414. -

-

Examples

- -
-
tblish.dataset.volcano;
-
-# TODO: Figure out how to do a topo map in Octave. Just a gridded color plot
-# should be fine. And then maybe do a 3-d mesh plot.
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.82 tblish.dataset.warpbreaks

- -
-
Static Method: out = warpbreaks ()
-
-

The Number of Breaks in Yarn during Weaving -

-

Description

- -

This data set gives the number of warp breaks per loom, where a loom -corresponds to a fixed length of yarn. -

-

Format

- -
-
wool
-

Type of wool (A or B). -

-
tension
-

The level of tension (L, M, H). -

-
breaks
-

Number of breaks. -

-
- -

There are measurements on 9 looms for each of the six types of warp (AL, AM, AH, BL, BM, BH). -

-

Source

- -

Tippett, L. H. C. (1950). Technological Applications of Statistics. -New York: Wiley. Page 106. -

-

References

- -

Tukey, J. W. (1977). Exploratory Data Analysis. Reading, Mass: Addison-Wesley. -

-

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.warpbreaks;
-
-summary (t)
-
-# TODO: Port the plotting code and OPAR to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.83 tblish.dataset.women

- -
-
Static Method: out = women ()
-
-

Average Heights and Weights for American Women -

-

Description

- -

This data set gives the average heights and weights for American women aged 30–39. -

-

Format

- -
-
height
-

Height (in). -

-
weight
-

Weight (lbs). -

-
- -

Details

- -

The data set appears to have been taken from the American Society of Actuaries -Build and Blood Pressure Study for some (unknown to us) earlier year. -

-

The World Almanac notes: “The figures represent weights in ordinary indoor -clothing and shoes, and heights with shoes”. -

-

Source

- -

The World Almanac and Book of Facts, 1975. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
t = tblish.dataset.women;
-
-figure
-scatter (t.height, t.weight)
-xlabel ("Height (in)")
-ylabel ("Weight (lb")
-title ("women data: American women aged 30-39")
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.84 tblish.dataset.WorldPhones

- -
-
Static Method: out = WorldPhones ()
-
-

The World’s Telephones -

-

Description

- -

The number of telephones in various regions of the world (in thousands). -

-

Format

- -

A matrix with 7 rows and 8 columns. The columns of the matrix give the -figures for a given region, and the rows the figures for a year. -

-

The regions are: North America, Europe, Asia, South America, Oceania, -Africa, Central America. -

-

The years are: 1951, 1956, 1957, 1958, 1959, 1960, 1961. -

-

Source

- -

AT&T (1961) The World’s Telephones. -

-

References

- -

McNeil, D. R. (1977). Interactive Data Analysis. New York: Wiley. -

-

Examples

- -
-
tblish.dataset.WorldPhones;
-
-# TODO: Port matplot() to Octave
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.85 tblish.dataset.WWWusage

- -
-
Static Method: out = WWWusage ()
-
-

WWWusage -

-

Description

- -

A time series of the numbers of users connected to the Internet through -a server every minute. -

-

Format

- -

A time series of length 100. -

-

Source

- -

Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State -Space Methods. Oxford: Oxford University Press. http://www.ssfpack.com/dkbook/ -

-

References

- -

Makridakis, S., Wheelwright, S. C. and Hyndman, R. J. (1998). Forecasting: -Methods and Applications. New York: Wiley. -

-

Examples

- -
-
# TODO: Come up with example code here
-
-
- - -
- -
-
-
-
-

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-
-

8.2.57.86 tblish.dataset.zCO2

- -
-
Static Method: out = zCO2 ()
-
-

Carbon Dioxide Uptake in Grass Plants -

-

Description

- -

The CO2 data set has 84 rows and 5 columns of data from an experiment -on the cold tolerance of the grass species Echinochloa crus-galli. -

-

Format

- -

Details

- -

The CO2 uptake of six plants from Quebec and six plants from Mississippi was -measured at several levels of ambient CO2 concentration. Half the plants of -each type were chilled overnight before the experiment was conducted. -

-

Source

- -

Potvin, C., Lechowicz, M. J. and Tardif, S. (1990). The statistical -analysis of ecophysiological response curves obtained from experiments -involving repeated measures. Ecology, 71, 1389–1400. -

-

Pinheiro, J. C. and Bates, D. M. (2000). Mixed-effects Models -in S and S-PLUS. New York: Springer. -

-

Examples

- -
-
t = tblish.dataset.zCO2;
-
-# TODO: Coplot
-# TODO: Port the linear model to Octave
-
-
- - -
- -
-
-
-
-
-

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-
-

8.2.58 tblish.datasets

-
-
Class: tblish.datasets
-
-

Example dataset collection. -

-

tblish.datasets is a collection of example datasets to go with the -Tablicious package. -

-

The tblish.datasets class provides methods for listing and loading -the example datasets. -

-
- - - -
-
-
-

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-

8.2.58.1 datasets.description

- -
-
Static Method: description (datasetName)
-
Static Method: out = description (datasetName)
-
-

Get or display the description for a dataset. -

-

Gets the description for the named dataset. If the output is captured, -it is returned as a charvec containing plain text suitable for human display. -If the output is not captured, displays the description to the console. -

-
- -
-
-
-
-

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-

8.2.58.2 datasets.list

- -
-
Static Method: list ()
-
Static Method: out = list ()
-
-

List all datasets. -

-

Lists all the example datasets known to this class. If the output is -captured, returns the list as a table. If the output is not captured, -displays the list. -

-

Returns a table with variables Name, Description, and possibly more. -

-
- -
-
-
-
-

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-
-

8.2.58.3 datasets.load

- -
-
Static Method: load (datasetName)
-
Static Method: out = load (datasetName)
-
-

Load a specified dataset. -

-

datasetName is the name of the dataset to load, as found in the -Name column of the dataset list. -

-
- -
-
-
-
-
-

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8.2.59 tblish.evalWithTableVars

-
-
Function: out = tblish.evalWithTableVars (tbl, expr)
-
-

Evaluate an expression against a table array’s variables. -

-

Evaluates the M-code expression expr in a workspace where all of tbl’s -variables have been assigned to workspace variables. -

-

expr is a charvec containing an Octave expression. -

-

As an implementation detail, the workspace will also contain some variables -that are prefixed and suffixed with "__". So try to avoid those in your -table variable names. -

-

Returns the result of the evaluation. -

-

Examples: -

-
-
[s,p,sp] = tblish.examples.SpDb
-tmp = join (sp, p);
-shipment_weight = tblish.evalWithTableVars (tmp, "Qty .* Weight")
-
- -

See also: table.restrict -

-
- - -
-
-
-
-

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-
-

8.2.60 tblish.examples.coplot

-
-
Function: [fig, hax] = tblish.examples.coplot (tbl, xvar, yvar, gvar)
-
Function: [fig, hax] = tblish.examples.coplot (fig, tbl, xvar, yvar, gvar)
-
Function: [fig, hax] = tblish.examples.coplot (…, OptionName, OptionValue, …)
-
-

Conditioning plot. -

-

tblish.examples.coplot produces conditioning plots. This is a kind of plot that breaks up the -data into groups based on one or two grouping variables, and plots each group of data -in a separate subplot. -

-

tbl is a table containing the data to plot. -

-

xvar is the name of the table variable within tbl to use as the X values. -May be a variable name or index. -

-

yvar is the name of the table variable within tbl to use as the Y values. -May be a variable name or index. -

-

gvar is the name of the table variable or variables within tbl to use as -the grouping variable(s). The grouping variables split the data into groups based on -the distinct values in those variables. gvar may specify either one or two -grouping variables (but not more). It can be provided as a charvec, cellstr, or index -array. Records with a missing value for their grouping variable(s) are ignored. -

-

fig is the figure handle to plot into. If fig is not provided, a new figure -is created. -

-

Name/Value options: -

-
-
PlotFcn
-

The plotting function to use, supplied as a function handle. Defaults to @plot. -It must be a function that provides the signature fcn(hax, X, Y, …). -

-
PlotArgs
-

A cell array of arguments to pass in to the plotting function, following the hax, -x, and y arguments. -

-
- -

Returns: - fig – the figure handle it plotted into - hax – array of axes handles to all the axes for the subplots -

-
- - -
-
-
-
-

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8.2.61 tblish.examples.plot_pairs

-
-
Function: out = tblish.examples.plot_pairs (data)
-
Function: out = tblish.examples.plot_pairs (data, plot_type)
-
Function: out = tblish.examples.plot_pairs (fig, …)
-
-

Plot pairs of variables against each other. -

-

data is the data holding the variables to plot. It may be either a -table or a struct. Each variable or field in the table -or struct is considered to be one variable. Each must hold a vector, and -all the vectors of all the variables must be the same size. -

-

plot_type is a charvec indicating what plot type to do in each subplot. -("scatter" is the default.) Valid plot_type values are: -

-
-
"scatter"
-

A plain scatter plot. -

-
"smooth"
-

A scatter plot + fitted line, like R’s panel.smooth does. -

-
- -

fig is an optional figure handle to plot into. If omitted, a new -figure is created. -

-

Returns the created figure, if the output is captured. -

-
- - -
-
-
-
-

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-
-

8.2.62 tblish.examples.SpDb

-
-
Function: spdb = tblish.examples.SpDb ()
-
Function: [s, p, sp] = tblish.examples.SpDb ()
-
-

The classic Suppliers-Parts example database. -

-

Constructs the classic C. J. Date Suppliers-Parts ("SP") example database as tables. -This database is the one used as an example throughout Date’s "An Introduction to -Database Systems" textbook. -

-

Returns the database as a set of three table arrays. If one argout is captured, the -tables are returned in the fields of a single struct. If multiple argouts are captured, the -tables are returned as three argouts with a single table in each, in the order (s, -p, sp). -

-
- - -
-
-
-
-

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-

8.2.63 tblish.sizeof2

-
-
Function: out = tblish.sizeof2 (x)
-
-

Approximate size of an array in bytes, with object support. -

-

This is an alternative to Octave’s sizeof function that tries to provide -meaningful support for objects, including the classes defined in Tablicious. It is -named "sizeof2" instead of "sizeof" to avoid a "shadowing core function" warning -when loading Tablicious, because it seems that Octave does not consider packages -(namespaces) when detecting shadowed functions. -

-

This may be supplemented or replaced by sizeof override methods on Tablicious’s -classes. I’m not sure whether Octave’s sizeof supports extension by method -overrides, so I’m not doing that yet. If that happens, this sizeof2 function -will stick around in a deprecated state for a while, and it will respect those override -methods. -

-

For tables, this returns the sum of sizeof for all of its variables’ -arrays, plus the size of the VariableNames and any other metadata stored in obj. -

-

This is currently broken for some types, because its implementation is in transition -from overridden methods on Tablicious’s objects to a separate function. -

-

This is not supported, fully or at all, for all input types, but it has support -for the types defined in Tablicious, plus some Octave built-in types, and makes a -best effort at figuring out user-defined classdef objects. It currently does not -have extensibility support for customization by classdef classes, but that may be -added in the future, in which case its output may change significantly for classdef -objects in future releases. -

-

x is an array of any type. -

-

Returns a scalar numeric. Returns NaN for types that are known to not be supported, -instead of raising an error. Raises an error if it fails to determine the size of an -input of a type that it thought was supported. -

-

See also: sizeof -

-
- - -
-
-
-
-

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-

8.2.64 tblish.table.grpstats

-
-
Function: [out] = tblish.table.grpstats (tbl, groupvar)
-
Function: [out] = tblish.table.grpstats (…, 'DataVars', DataVars)
-
-

Statistics by group for a table array. -

-

This is a table-specific implementation of grpstats that works on table arrays. -It is supplied as a function in the +tblish package to avoid colliding with -the global grpstats function supplied by the Statistics Octave Forge package. -Depending on which version of the Statistics OF package you are using, it may or may -not support table inputs to its grpstats function. This function is supplied -as an alternative you can use in an environment where table arrays are not -supported by the grpstats that you have, though you need to make code changes -and call it as tblish.table.grpstats(tbl) instead of with a plain -grpstats(tbl). -

-

See also: table.groupby, table.findgroups, table.splitapply -

-
- - -
-
-
-
-

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-
-

8.2.65 timezones

-
-
Function: out = timezones ()
-
Function: out = timezones (area)
-
-

List all the time zones defined on this system. -

-

This lists all the time zones that are defined in the IANA time zone database -used by this Octave. (On Linux and macOS, that will generally be the system -time zone database from /usr/share/zoneinfo. On Windows, it will be -the database redistributed with the Tablicious package. -

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If the return is captured, the output is returned as a table if your Octave -has table support, or a struct if it does not. It will have fields/variables -containing column vectors: -

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Name
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The IANA zone name, as cellstr. -

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Area
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The geographical area the zone is in, as cellstr. -

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Compatibility note: Matlab also includes UTCOffset and DSTOffset fields in -the output; these are currently unimplemented. -

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8.2.66 todatetime

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Function: out = todatetime (x)
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Convert input to a Tablicious datetime array, with convenient interface. -

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This is an alternative to the regular datetime constructor, with a signature -and conversion logic that Tablicious’s author likes better. -

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This mainly exists because datetime’s constructor signature does not accept -datenums, and instead treats one-arg numeric inputs as datevecs. (For compatibility -with Matlab’s interface.) I think that’s less convenient: datenums seem to be -more common than datevecs in M-code, and it returns an object array that’s not the -same size as the input. -

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Returns a datetime array whose size depends on the size and type of the input -array, but will generally be the same size as the array of strings or numerics -the input array "represents". -

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8.2.67 vartype

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Function: out = vartype (type)
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Filter by variable type for use in suscripting. -

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Creates an object that can be used for subscripting into the variables -dimension of a table and filtering on variable type. -

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type is the name of a type as charvec. This may be anything that -the isa function accepts, or 'cellstr' to select cellstrs, -as determined by iscellstr. -

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Returns an object of an opaque type. Don’t worry about what type it is; -just pass it into the second argument of a subscript into a table -object. -

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8.2.68 vecfun

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Function: out = vecfun (fcn, x, dim)
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Apply function to vectors in array along arbitrary dimension. -

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This function is not implemented yet. -

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Applies a given function to the vector slices of an N-dimensional array, where -those slices are along a given dimension. -

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fcn is a function handle to apply. -

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x is an array of arbitrary type which is to be sliced and passed -in to fcn. -

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dim is the dimension along which the vector slices lay. -

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Returns the collected output of the fcn calls, which will be -the same size as x, but not necessarily the same type. -

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8.2.69 years

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Function File: out = years (x)
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Create a duration x years long, or get the years in a duration -x. -

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If input is numeric, returns a duration array in units of fixed-length -years of 365.2425 days each. -

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If input is a duration, converts the duration to a number of fixed-length -years as double. -

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Note: years creates fixed-length years, which may not be what you want. -To create a duration of calendar years (which account for actual leap days), -use calyears. -

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See calyears. -

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9 Copying

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+
+

+Next: , Up: datetime   [Contents]

+
+
+

8.2.10.1 datetime.colon

+ +
+
Method: out = colon (lo, hi)
+
Method: out = colon (hi, inc, hi)
+
+

Generate a sequence of uniformly-spaced values. +

+

This method implements the behavior for the colon operator (lo:hi or +lo:inc:hi calls) for the datetime type. +

+

"Uniformly-spaced" means uniform in terms of the duration or calendarDuration +value used as the increment. Calendar durations are not necessarily equal-sized in +terms of the amount of actual time contained in them, so when using a +calendarDuration as the increment, the resulting vector may not be, and often will +not be, uniformly spaced in terms of actual (non-"calendar") time. +

+

The inc argument may be a duration, calendarDuration, or numeric. Numerics +are taken to be a number of days (uniform-size days, not calendar days), and are +converted to a duration object with duration.ofDays (inc). The default value +for inc, used in the two-arg lo:hi is 1, that is, 1 day of exactly 24 +hours. +

+

Returns a datetime vector. +

+

WARNING: There are issues with negative-direction sequences. When hi is less than +lo, this will always produce an empty array, even if inc is a negative value. +And there are cases with calendarDurations that have both Months, Days and/or Times +with mixed signs that values may move in the "wrong" direction, or produce an +infinite loop. If these problem cases can be correctly identified, but not +corrected, those cases may raise an error future releases of Tablicious. +

+
+ +