- R: The R Project for Statistical Computing
R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R , please choose your preferred CRAN mirror
- R-4. 5. 1 for Windows - The Comprehensive R Archive Network
Download R-4 5 1 for Windows (86 megabytes, 64 bit) README on the Windows binary distribution; New features in this version
- The R Project for Statistical Computing
R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R , please choose your preferred CRAN mirror
- R: What is R? - The R Project for Statistical Computing
R 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
- The Comprehensive R Archive Network
The Comprehensive R Archive Network (CRAN) provides access to R software, packages, and documentation for statistical computing and graphics
- The Comprehensive R Archive Network
What are R and CRAN? R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
- Documentation - The R Project for Statistical Computing
Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of R “R-patched” and “R-devel”, updated daily CRAN has a growing list of contributed documentation in a variety of languages
- An Introduction to R
R is very much a vehicle for newly developing methods of interactive data analysis It has developed rapidly, and has been extended by a large collection of packages However, most programs written in R are essentially ephemeral, written for a single piece of data analysis
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