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R Resources

Where to obtain R

R is available for free.  Download links can be found below.

  • Download R for Mac OS X
  • Download the TCL/TK Utility to run Rcmdr
  • Download R for Windows XP, Vista, and 7

Resources about R

Arts and Sciences Computing supports the use and development of the R statistical software package. Accordingly, we provide the following links to resources about R.  The principal designer of S was John Chambers who works at Bell Labs and is a consulting professor of statistics at Stanford University.

Founders/What is R?

R is an implementation of the S programming language created by Ross Ihaka and Robert Gentleman.  It is often said that S is the language, R is the dialect.

Documentation

  • R - Publications
  • R - Books
  • Official R manuals
  • The Comprehensive R Archive Network
  • Technical Notes on the R programming language

Software

  • CRAN - Mirrors
  • ESS - Emacs Speaks Statistics
  • LyX

Blogs

  • Revolutions News about R
  • R Bloggers A site that aggregates more than 100 blogs about R

Videos

  • Rvideos at Texas A & M has about 20 videos
  • ramstatdavid has roughly 25 videos
  • Jeromy Anglim has links to dozens of videos (beginner through advanced) on his blog.

Tutorials/Introductions

  • Statistical Computing with R: A tutorial
  • An R Introduction to Statistics |
  • R TutorialR Tutorial (Using "R"
  • Using R for statistical analyses - Introduction
  • Quick-R: Home Page
  • An Introduction to R

Status of the R project

  • CRAN Mirror Status
  • R Package Check Summary
  • Cranberries An RSS feed about new packages
  • R for MacOS Developers Page

Building R packages

  • Cran's official manual for Writing R Packages
  • Making R packages on a Mac
  • Friedrich Leisch's paper on cran
  • Graves and Dorai-Raj's presentation on cran

Scientific Applications for R

  • Bayesian Analysis
  • Cluster Analysis
  • Probability Distributions
  • Econometrics
  • Experimental Data
  • Finance
  • Graphics
  • High Performance Computing
  • Multivariate Statistics
  • Natural Language Processing
  • Optimization
  • Psychometrics
  • Robust Statistical Methods
  • Spatial Analysis
  • Survival Analysis
  • Time Series Analysis
  • Technical Support
  • Media & Equipment
  • Humanities Digital Workshop
  • Social Sciences Computing
    • SSC FAQs
    • Economics Grad Students

ArtSci Tech Support

Call us at (314) 935-8077 Mon-Fri 11:00 am-5:00 pm, or use our contact form.

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Arts & Sciences Computing | Washington University in St. Louis | (314) 935-5165 | Campus Box 1160
One Brookings Drive, St. Louis, MO 63130-4899 | artscihelp@wustl.edu