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
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