Introductory course on R

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of Unix platforms as well as on Windows and on the Macintosh operating systems (MacOS). If you want to download a copy for your own machine you can find it at the R-project website.

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. The following links take you to a basic tutorial for both the Windows and Unix installations which will help you get started on using R.

See here for a 2009 New York Times article on R fans across the industry and academia. See the follow up article.

Faculty Joint PublicationsMap of Faculty and PhD Students backgroundsDavid Sprott Distinguished Lectures

Faculty Research Chairs

Actuarial Science

David Landriault
Tier II Canada Research Chair

Ken Seng Tan 
Sun Life Fellow

Ruodu Wang
University Research Chair

Gord Willmot 
Munich Re Chair in Insurance

Tony Wirjanto
University Research Chair

Statistics

Grace Yi
University Research Chair