The R Project: LSU Overview

  

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General Information

R for Windows is available as a FREE download provided by the CRAN Site.  It provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
 

System Requirements

The R Program runs on the Windows, Mac, and Linux.

Available to LSU Faculty, Students, and Staff.
 

Download & Install

Training & Support

Training Manuals

R for Windows Frequently Asked Questions

The "R" Project Main Web Site
 

Frequently Asked Questions

How do I check an installation is NOT corrupt?
Relates to earlier installers, removed in R 2.11.0.

Can I run the "R" project from a CD or USB drive?
Yes, with care. A basic R installation is relocate-able, so you can burn an image of the R installation on your hard disc or install directly onto a removable storage device such as a flash-memory USB drive. Running R does need access to a writable temporary directory and to a home directory, and in the last resort these are taken to be the current directory. This should be no problem on a properly configured version of Windows, but otherwise does mean that it may not be possible to run R without creating a shortcut starting in a writable folder.

Can I use the "R" project on 64-bit Windows?
The 32-bit build of R for Windows will run on both 32-bit and 64-bit versions of Windows. 64-bit versions of Windows run 32-bit executables under the WOW (Windows on Windows) subsystem: they run in almost exactly the same way as on a 32-bit version of Windows, except that the address limit for the R process is 4GB (rather than 2GB or perhaps 3GB). When R is installed on 64-bit Windows there is the option of installing 32- and/or 64-bit builds: the default is to install both. If you are using the 32-bit build, replace ‘x64’ by ‘i386’ in the examples in this Frequently Asked Questions document.

 

Referenced from: R-project.org

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6/8/2017 12:55:29 PM