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]
Derived from an original set of notes describing the S and S-Plus environments.
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]
Intermediate introduction, abilities. Text, code samples, graphics. [developerWorks]
Now that the data is correct, delves into functionality of system. Text, code samples, graphics. [developerWorks]
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]
Network of FTP and Web servers around the world that store identical, up-to-date, versions of r code, documentation.
Sells printed copies of free software manuals, including the official R introduction (tutorial) and both reference manuals. [Network Theory Ltd.]
Brief description and book list with links; links to resources, history, comparisons, packages useful in Management.
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.
Computers /
Artificial_Intelligence /
Machine_Learning /
Software
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