R 3.1.2

A language and environment for statistical computing and graphics
R started as an alternative (different implementation) of Bell Laboratories' S language, but has grown into its own form and gained its separate followers.

It compiles and runs on all major OSes.

Main features:

  • Easy data storage
  • Easy data manipulation
  • Lots of calculation operators
  • Tools for data analysis
  • Graphical data analysis
  • Publication-quality plots
  • Time-series analysis
  • Classification
  • Clustering
  • Conditionals
  • Loops
  • User-defined recursive functions
  • Lots of input and output methods
  • Linear and nonlinear modelling
  • Lots of documentation

last updated on:
October 31st, 2014, 13:56 GMT
developed by:
The R Core Team
license type:

GPL: GNU General Public License

operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
C: \ Development Tools \ Compilers
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What's New in version 2.15.1
  • source() now uses withVisible() rather than .Internal(eval.with.vis). This sometimes alters tracebacks slightly.
  • install.packages("pkg_version.tgz") on Mac OS X now has sanity checks that this is actually a binary package (as people have tried it with incorrectly named source packages).
  • splineDesign() and spline.des() in package splines have a new option sparse which can be used for efficient construction of a sparse B-spline design matrix (via Matrix).
  • norm() now allows type = "2" (the ‘spectral’ or 2-norm) as well, mainly for didactical completeness.
read full changelog

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