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Overview

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R is the fastest growing statistical software/language and is rapidly overtaking all others (e.g. SPSS, STATA, & SAS in popularity.)  It is growing so quickly that it is probably best to use a google search for finding resources to get you started.  In spite of this claim, we'll provide a few resources here since the google search can be completely overwhelming. 

Contents

Product Details  

System Requirements

R runs on *inux, Windows & Mac operating systems.

Licensing & Cost Information

This software is freely available from the publisher. Freely available refers to software which is legally available for no monetary cost to the college or individual.  Note that there may still be usage limitations (such as personal use only) set down by the license agreement.

Regardless of licensing, please place all requests for software through ITS (see below).  This way, the college may be able to save significant amounts of money by including the additional license(s) under existing agreements.

If you would like to request a copy of this software, please see these instructions|#SWRequest|||||\ below.

Usage Restrictions

This section should remain the the form of three questions and the statement on "non-commercial" use.

  • Can I use R for research?  Yes, but click here for compliance and validation issues
  • Is R limited to educational use?  No
  • Is R available for personal use?  Yes
  • This software is for non-commercial use only.

To learn more about the variety of software usage limitations which we are working with on campus, please click here.

Home Use

You can install R for your personal use and even continue to use it after you leave Carleton. 

Where Can I Find R on campus?

R (and RStudio) is available in all refreshing labs and classrooms.  For a complete list, see: a list of what's where in the labs.

How Do I Request R?

Labs and Classrooms

To request this software be installed on a refreshing lab/classroom contact either Rapid Response or Student Computing.

College Owned Equipment

You can install R on college owned (or any) equipment by downloading it from here.

Personal Machines

You can install R on your personal machine by downloading it from here.  It is also available for college owned computers via KBOX.  

Getting Started with R (and RStudio)

Through our licensed access to Lynda.com, you can get go through the 2+hour  "Up and Running with R"  and/or try a more detailed (6 hr) look via  "R-Statistics Essential Training"  (This one includes a bit on RStudio as well.  RStudio is a convenient and free interface to R that makes it easier to navigate.)

Note that you need to login via your Carleton credentials for access to Lynda online courses. 

See also: 

 

 

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