- R Project for Statistical Computing - http://www.r-project.org/
R, also called GNU S, is a strongly functional language and environment to statistically explore data sets, make many graphical displays of data from custom command line, shell has option to save one full environment per working directory. Descriptions, documents, downloads. [Open Source, GPL]
- An Introduction to R - http://cran.r-project.org/doc/manuals/R-intro.pdf
Derived from an original set of notes describing the S and S-Plus environments.
- RPy - http://rpy.sourceforge.net/
R from Python. Simple, robust, Python interface to R; manage all kinds of R objects and execute arbitrary R functions, including graphics. Converts all R errors to Python exceptions. Use any R module from within Python. [Open Source, GPL]
- Omegahat R Package Download Area - http://www.omegahat.org/download/R/packages/
Over 30 R packages, libraries, released as part of Omegahat project. Many are bindings to other languages: Python, Gtk, XML; COM, SOAP, etc. Most can also be used with S-Plus. [Open Source, BSD-like]
- Comprehensive R Archive Network - http://www.cran.r-project.org/
Network of FTP and Web servers around the world that store identical, up-to-date, versions of r code, documentation.
- Books about R - http://www.network-theory.co.uk/R/
Sells printed copies of free software manuals, including the official R introduction (tutorial) and both reference manuals. [Network Theory Ltd.]
- R Mailing Lists Archive - http://maths.newcastle.edu.au/~rking/R/
Of the four R mailing lists: R-announce, R-packages, R-help, R-devel. Automatically updated four times a day; anything posted to a list is usually on this archive within about 10 hours.
- R Statistical Programming Language - http://www.gsm.uci.edu/~joelwest/Statistics/R.html
Brief description and book list with links; links to resources, history, comparisons, packages useful in Management.
- R Resources - http://www.xs4all.nl/~jhckx/R/
Packages: MCL/square tables with special restrictions; multiway percentage tables; perturb evaluates collinearity by adding random noise to variables for categorical variables and non-regression models.
- R for Windows FAQ - http://www.stats.ox.ac.uk/pub/R/rw-FAQ.html
Answers many questions on installing, packages, customizing, Windows features, building from source.
- Universal GUI for R - http://www.rosuda.org/JGR/
JGR is a universal and platform independent GUI for R. It features many tools like, advanced editor, object browser, flexible data input/output, package management and many more innovative features.
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