rnorm(3, mean=0, sd=1) ## random draws
[1] -0.8433635 0.3151217 -0.4799710
+[1] -1.3733147 -0.5293865 0.9294630
diff --git a/docs/Stats_review.html b/docs/Stats_review.html index 2a5348e..c986886 100644 --- a/docs/Stats_review.html +++ b/docs/Stats_review.html @@ -340,7 +340,7 @@
We usually use capital letters – e.g. X, Y, sometimes with bold or with subscripts – to denote the RVs. In contrast we use lower case letters, e.g. x, y, k, to denote the values that the RV takes. For instance, lets say that the heights of the woman at Virginia Tech are the RV, X, and X has a normal distribution with mean 62 inches and variance 6^2, i.e., X \sim \mathrm{N}(62,6^2) distribution. Say we then observe the heights of 3 individuals drawn from this distribution – we would write this as: x=( 60.6, 68.6, 60.6 ).
+We usually use capital letters – e.g. X, Y, sometimes with bold or with subscripts – to denote the RVs. In contrast we use lower case letters, e.g. x, y, k, to denote the values that the RV takes. For instance, lets say that the heights of the woman at Virginia Tech are the RV, X, and X has a normal distribution with mean 62 inches and variance 6^2, i.e., X \sim \mathrm{N}(62,6^2) distribution. Say we then observe the heights of 3 individuals drawn from this distribution – we would write this as: x=( 64.5, 64, 60.1 ).
R
rnorm(3, mean=0, sd=1) ## random draws
[1] -0.8433635 0.3151217 -0.4799710
+[1] -1.3733147 -0.5293865 0.9294630
We will be using R
for all data manipulation and analyses/model fitting. Any operating system (Windows, Mac, Linux) will do, as long as you have R
(version 3.6 or higher) installed.
You may use any IDE/ GUI for R
(VScode, RStudio, Emacs, etc). For most people, RStudio
is a good option. Whichever one you decide to use, please make sure it is installed and test it before the workshop.
You may use any IDE/ GUI for R
(VScode, RStudio, Emacs, etc). For most people, RStudio
is a good option. Whichever one you decide to use, please make sure it is installed and tested before the workshop.
We will also be using Slack for additional support during the training. Please have these installed in advance. We will have a channel on Slack dedicated to software/hardware issues and troubleshooting.
We will be using R
for all data manipulation and analyses/model fitting. Any operating system (Windows, Mac, Linux) will do, as long as you have R
(version 3.6 or higher) installed.
You may use any IDE/ GUI for R
(VScode, RStudio, Emacs, etc). For most people, RStudio
is a good option. Whichever one you decide to use, please make sure it is installed and test it before the workshop.
You may use any IDE/ GUI for R
(VScode, RStudio, Emacs, etc). For most people, RStudio
is a good option. Whichever one you decide to use, please make sure it is installed and tested before the workshop.
We will also be using Slack for additional support during the training. Please have these installed in advance. We will have a channel on Slack dedicated to software/hardware issues and troubleshooting.