Software Statistics Math


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, d








    Top: Science: Math: Statistics: Software: S

R


See Also:
Editor's Picks:

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, d

  • RPy - R from Python. Simple, robust, Python interface to s R; manage s all kinds of R objects and s execute arbitrary R functions, s including graphics. Converts all s R errors to Python exceptions. Use s any R s module from within Python. [Open Source, GPL]
  • Statistical Programming with R: Part 2. Functional Programming and Data Exploration - Now that the data is correct, delves into functionality of software system. Text, code samples, graphics. [developerWorks]
  • Omegahat R Package Download Area - Over 30 R packages, libraries, released as part of Omegahat r project. Many are bindings to other languages: Python, Gtk, XML; r COM, SOAP, etc. Most can also be used with S-Plus. r [Open Source, BSD-like]
  • Server Clinic: R Handy for Crunching Data - Beginner introduction with code samples, further reading. [developerWorks]
  • Books about R - Sells printed copies of free software manuals, including r the official software R introduction (tutorial) and both reference r manuals. [Network Theory Ltd.]
  • Comprehensive R Archive Network - Network of FTP and Web servers around the s world that store identical, up-to-date, versions of r s code, documentation.
  • Universal GUI for R - JGR is a universal and platform independent GUI r for R. It features many tools like, advanced r editor, object browser, flexible data input/output, package management r and many more innovative features.
  • Statistical Programming with R: Part 1. Dabbling with a Wealth of Statistical Facilities - Intermediate introduction, abilities. Text, code samples, graphics. [developerWorks]
  • An Introduction to R - Derived from an original set of notes describing r the S software and S-Plus environments.[PDF]


   MySQL - Cache Direct


  
Twitter