R is an extremely flexible programming language and environment for statistical computing and graphics. R is an "user contributed software" that a large number of users have contributed code for implementing some of the most up-to-date statistical methods; users can write their own functions, build their own packages and distribute the packages.
R is an implementation of the S language, which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) , chiefly by Dr. John Chambers. It is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form.
|Functionality||A wide variety of statistical and econometric analysis mehtods.|
|Operating Systems||Windows, Mac OS, and UNIX (Linux).|
|Online Support||Online document (manuals) and help, R Mail Lists. R users can post a message for help to all the list members by sending email to firstname.lastname@example.org after subscribing to the R-help list.|
|Vendor's Website||R Foundation.|
|Availability (IUB/IUPUI)||R is available in STC labs (PC) and shared central computing systems (Quarry and Big Red).|
|Support & Training||Limited support since R is categorized as a faculty sponsored software for support.|
|Licensing & Purchase||Free Software Foundation's GNU General Public License. R can be obtained via the Comprehensive R Archive Network (CRAN) of R Project.|
Getting Started with R for Windows (internal)
Estimating Multilevel Models using SPSS, Stata, SAS, and R (internal)
Regression Models for Binary Dependent Variables Using Stata, SAS, R, LIMDEP, and SPSS (internal)