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R

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According to Comprehensive R Archive Network (CRAN), R is “GNU S,” which is similar to the S system (see SPlus). R is a freely available language and environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques: linear and nonlinear modeling, statistical tests, time series analysis classification and clustering.

You can choose to either install R locally in your personal computer or invoke it from a Research Computing Server.

Price/License cost per machine:
No cost

 

You can choose to either install R locally in your personal computer or invoke it from a Research Computing Server. R is available on Kure and Killdevil. The current versions available are:
Default: 3.0.1
Installed: 2.12.2, 2.14.0, 2.15.1, 3.0.1, 3.1.1
Anyone on Kure or Killdevil can see the current version information at any time by running the command:
“module avail r/”
If you wish to install a local copy of the R, the software source code and compilation instructions along with binaries for Linux, MacOS and Microsoft Windows are available for the Comprehensive R Archive Network Web site.

Further details for submitting R jobs on a Research Computing Server can be found in the Mathematical and Statistical Software Application Notes help documentation.

We have installed a majority of the contributed packages that compiled without problems into the distribution for each architecture. Because we are using the best compiler for a given platform rather than GCC, the installed contributed packages are slightly different on each of the supported platforms.

If you have need of a contributed package which isn’t installed on the Research Computing server, there are two options for users:

  • Option 1: Users can email their requests to the Research Computing group with relevant information about the packages/libraries to be installed.
  • Option 2: Users can install R packages on the scratch space on their own. For detailed descriptions on this option, read this help documentation.
The R Project web site includes links to online documentation, FAQ and R-related mailing lists and sites.

  • R manuals are available online from the CRAN Web site.
Introduction to R included in the R manual provided by CRAN is helpful for new users.
FAQs from CRAN.
related to R from the CRAN Web site.
Research Computing home page