Mathematical and Statistical Application – R

Table of Contents

Overview

Installation

Setting up your environment and invoking from a Research Computing server

Install R packages on the Research Computing server

Manuals

Tutorials

FAQs

Useful links

References

Additional help

Overview

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

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

 

 

Default Version: 3.0.1
Installed Version(s): (Kure, Killdevil)  2.12.2, 2.14.0, 2.15.1, 3.0.1, 3.1.1
Research Computing Servers: Kure. Killdevil

Installation

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.

Setting up your environment and invoking from a Research Computing server

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

Install R packages on the Research Computing server

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 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, please read this help documentation.

Manuals

The R Project web site includes links to online documentation, FAQ and R-related mailing lists and sites.

  • R manuals are available online from CRAN web site.

Tutorials

  • An Introduction to R included in the R manual provided by CRAN is useful for users new to this software.

FAQs

Useful links

References

Additional help

Research Computing home page