Pluralsight.Revolution

Pluralsight Revolution learning

Some Brief History

R followed S. The S language was conceived by John Chambers, Rick Becker, Trevor Hastie, Allan Wilks and others at Bell Labs in the mid 1970s. S was made publically available in the early 1980's. R, which is modeled closely on S, was developed by Robert Gentleman and Ross Ihaka in the early 1990's while they were both faculty members at the University of Auckland. R was established as an open source project (www.r-project.org) in 1995. Since 1997 the R project has been managed by the R Core Group. When AT&T spun of Bell Labs in 1996, S was no longer freely available. S-PLUS is a commercial implementation of the S language developed by the Insightful corporation which is now sold by TIBCO software Inc. The R Core Group: http://www.r-project Download R: http://cran.r-project.org/

How R is organized

R is an interpreted functional language with objects. The core of R language contains the data manipulation and statistical functions. Most of R's capabilities are delivered as user contributed packages that may be downloaded from CRAN. R ships with the "base and recommended" packages:
http://cran.r-project.org/doc/FAQ/R-FAQ.html#Which-add_002don-packages-exist-for-R_003f

R RESOURCES

What is R? the movie: http://www.youtube.com/watch?v=TR2bHSJ_eck Search for R topics on the web: http://www.rseek.org Search or R packages: http://www.rdocumentation.org A list of R Resources: http://www.revolutionanalytics.com/what-is-open-source-r/r-resources.php Quick R: http://www.statmethods.net/ R Reference Card: http://cran.r-project.org/doc/contrib/Short-refcard.pdf An online book: http://www.cookbook-r.com/ Hadley Wickham's book, Advanced R: http://adv-r.had.co.nz CRAN Task Views: http://cran.r-project.org/web/views/ Some help with packages: http://crantastic.org/ The BIOCONDUCTOR PROJECT FOR GENOMICS: http://www.bioconductor.org/

R Blogs

Revolutions blog: http://blog.revolutionanalytics.com/ RBloggers: http://www.r-bloggers.com

TO DO

http://statistics-with-r.teachable.com/courses/statistics-with-r/lectures/1141870

http://www.endmemo.com/program/R/ztest.php

http://www.listendata.com/2015/09/linear-regression-with-r.html

https://www.ling.upenn.edu/~joseff/rstudy/summer2010_ggplot2_intro.html

http://t-redactyl.io/blog/2016/03/creating-plots-in-r-using-ggplot2-part-9-function-plots.html

http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html

http://seananderson.ca/ggplot2-FISH554/

http://abeautifulwww.com/

https://gigadom.wordpress.com/2015/01/16/a-crime-map-of-india-in-r-crime-against-women/

https://tadaa-data.de/2016/rstats/tadaatoolbox-got-your-back/

http://stephenturner.us/edu.html

http://r4ds.had.co.nz/index.html

https://www.analyticsvidhya.com/blog/2016/03/tutorial-powerful-packages-imputing-missing-values/

http://r-pkgs.had.co.nz/

http://adv-r.had.co.nz/

http://adv-r.had.co.nz/OO-essentials.html#rc

http://tdhock.github.io/

https://msdn.microsoft.com/en-us/microsoft-r/scaler-getting-started

http://philferriere.blogspot.ca/2016/05/using-microsoft-cognitive-services-web.html

https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Towards-a-grammar-of-interactive-graphics

https://channel9.msdn.com/Series/Microsoft-R-Server-Series/Introduction-to-Microsoft-R-Server-Session-2--Data-Ingestion?ocid=player

https://gallery.cortanaintelligence.com/Notebook/Predictive-Maintenance-Modelling-Guide-R-Notebook-1

https://www.microsoft.com/en-us/sql-server/developer-get-started/r

ToPackage

https://www.analyticsvidhya.com/blog/2017/03/create-packages-r-cran-github/

To Discover

https://www.analyticsvidhya.com/blog/2016/03/tutorial-powerful-packages-imputing-missing-values/?utm_content=buffer31034&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

Joining Data in R with dplyr

Learn how to combine data sets with dplyr's two table verbs. You'll learn the best ways to combine data sets using mutating joins, filtering joins, and set operations. Play now! https://www.datacamp.com/courses/joining-data-in-r-with-dplyr

Manipulating Time Series Data in R: Case Studies

This follow-up course on Manipulating Time Series Data in R will strengthen your knowledge with new exercises and interesting datasets. Start now! https://www.datacamp.com/courses/manipulating-time-series-data-in-r-case-studies

Community Course: Plotly and R

This Plotly tutorial will show you how you can use plotly to easily create stunning data visualizations with R. Play now for free! https://www.datacamp.com/community/open-courses/plotly-tutorial-plotly-and-r