R Project for Statistical Computing
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
Derived from an original set of notes describing the S and S-Plus environments.
Books about R
Sells printed copies of free software manuals, including the official R introduction (tutorial) and both reference manuals. [Network Theory Ltd.]
CRAN Task Views
A directory of links to R packages, sorted by topic, by prominant figures in the R community
Comprehensive R Archive Network
Network of FTP and Web servers around the world that store identical, up-to-date, versions of r code, documentation.
JGR - Java GUI for R
A universal and platform independent GUI for R. It features many tools like advanced editor, object browser, flexible data input/output, and package management.
Jobs for R-users
A job board for people and companies looking to hire R users (for programming, data science, teaching).
R - Books
An extensive list (with brief comments) of R-related books
R for Windows FAQ
Answers many questions on installing, packages, customizing, Windows features, building from source.
A center for R users to find and read bloggers who write about the statistical programming language, R.
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]
A C++ API for R, along with associated classes to allow for the integration of C++ into R code.
A custom front-end to Google search engine to assist in finding content related to the R language.
A powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux.
Server Clinic: R Handy for Crunching Data
Beginner introduction with code samples, further reading. [developerWorks]
The R Journal
An open access, refereed journal of the R project for statistical computing.