Related Projects

Community Services

Projects focusing on useRs helping other useRs.
The R Wiki
provides user-editable help pages for many R-related topics and problems.

The R Graph Gallery
aims to present several different graphics fully created with R. You can browse exemplar graphs by topic, package, or user ranking.

R Forge
R-Forge is a framework for R-project developers based on GForge offering easy access to the best in SVN, daily built and checked packages, mailing lists, bug tracking, message boards/forums, site hosting, permanent file archival, full backups, and total web-based administration.

Google Summer of Code
R projects in the Google Summer of Code

Special Areas of Application

Projects focusing on special application areas, statistical models, etc.
Bioconductor: Bioinformatics with R
The broad goals of Bioconductor are to

Rgeo: Spatial Statistics with R
This collection of web pages is intended to be a supplement to the Spatial Task View on CRAN. It provides news, and guides to some of the resources for the analysis of spatial data using R, and other associated software.

gR: gRaphical models in R
gR is an initiative aiming at providing facilities for graphical models in R. It includes software for graphical model fitting, graph visualizations and computations, and interfaces to standalone graphical model software packages such as BUGS, CoCo and MIM.

Robust: Robust Statistics with R
This web page contains information about the development of tools in R for methods in Robust Statistics.

Rmetrics: Financial Market Analysis with R
Rmetrics is an open source solution for financial market analysis and valuation of financial instruments.

Computational Infrastructure

Projects focusing on computational infrastructure, user interfaces, web-based services, etc.
Omega: Distributed Statistical Computing
Omega is a joint project with the goal of providing a variety of open-source software for statistical applications. The Omega project began with discussions among designers responsible for three current statistical languages (S, R, and Lisp-Stat), with the idea of working together on new directions with special emphasis on web-based software, Java, the Java virtual machine, and distributed computing. Omega encourages participation by anyone wanting to extend computing capabilities in one of the existing languages, to those interested in distributed or web-based statistical software, and to those interested in the design of new statistical languages.

R GUIs: Graphical User Interfaces for R
This web page gives an overview over several projects that develop or offer the opportunity to develop graphical user interfaces for R. A Special Interest Group mailing list (R-SIG-GUI) exists also to freely discuss concerned issues.

ESS: Emacs speaks Statistics
An Emacs-Lisp interface to interactive statistical programming and data analysis languages, including: S dialects (such as R), LispStat dialects and SAS.

R Zope
Tools for integrating R and Zope for developing WWW-based statistical environments. These include RSOAP (simple API for managing and communicating with multiple concurrent R processes), RSessionDA (Zope objects for interacting with R), and others.

R for Mediawiki
allows to run R programs and display results (graphics, text) within Mediawiki, the software behind Wikipedia and other wiki projects.

PowerShell R Interop Cmdlet
A PowerShell Cmdlet providing smooth integration of R via the R-(D)COM Server into the PowerShell environment. Data can be piped from other PowerShell Cmdlets into R. Results from R can be piped into PowerShell Cmdlets. As R-(D)COM supports invocation of functions generating graphical output, Powershell 2 Interop Cmdlet can be used to easily create plots.

Fortran code for the Augmented Lagrangian method for nonlinear programming problems, with interfaces to AMPL, C/C++, CUTEr, Matlab, Python, Octave and R.


Statlib S Archive
A rich source of useful code, as most S code runs under R.

Dataverse Network Project
Via web application software, data citation standards, and statistical methods (powered by R), DVN increases scholarly recognition and distributed control for authors, journals, and others who make data available, and facilitates data access and analysis for researchers.
Jim Lindsey's R page
contains code for nonlinear regression and repeated measurements (packages event, gnlm, growth, repeated, rmutil and stable).