R HelpDocument ActionsR 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 provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) 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 under a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS. Tips, Tutorials and other materials
Introduction to R
An Introduction to R is based on the former "Notes on R", gives an introduction to the language and how to use R for doing statistical analysis and graphics. 
Structural Equation Modeling with R (sem)
SEM is an R package for fitting structural-equation models. The package supports general structural equation models with latent varibles, fit by maximum likelihood assuming multinormality, and single-equation estimation for observed-variable models by two-stage least.squares Also of interest to R users
Imputation Methods Document
A survey of multiple imputation software packages. How-to's, tips and pitfalls.
R Project
Unix Software
A list of the public Unix/Linux hosts and their respective software packages available to PRI account holders. Access to unix systems belonging to staff members is also available beyond the public hosts listed below, provided you have the direct permission from that staff member.
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