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. |
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.] |
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. |
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] |
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] |
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. |
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] |
Server Clinic: R Handy for Crunching Data - http://www-128.ibm.com/developerworks/linux/library/l-sc16.html
Beginner introduction with code samples, further reading. [developerWorks] |
Statistical Programming with R: Part 1. Dabbling with a Wealth of Statistical Facilities - http://www-128.ibm.com/developerworks/linux/library/l-r1/
Intermediate introduction, abilities. Text, code samples, graphics. [developerWorks] |
Statistical Programming with R: Part 2. Functional Programming and Data Exploration - http://www-106.ibm.com/developerworks/linux/library/l-r2/
Now that the data is correct, delves into functionality of system. Text, code samples, graphics. [developerWorks] |