
The R Project for Statistical Computing
Oct 31, 2025 · 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 …
R (programming language) - Wikipedia
R was started by professors Ross Ihaka and Robert Gentleman as a programming language to teach introductory statistics at the University of Auckland. [13]
LEARN R [Introduction, Data Structures, Data ... - R CODER
This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the R programming language.
Download R-4.5.2 for Windows. The R-project for statistical computing.
Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information.
R CODER The best way to start learning R PROGRAMMING
Welcome to R CODER 📚 This website provides a wide variety of R PROGRAMMING TUTORIALS and a FREE R COURSE developed by experts
The Comprehensive R Archive Network
Oct 31, 2025 · 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 …
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 …
R: Documentation
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 …
An Introduction to R
This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by …
Getting Help with R
For information on how to ask questions, see, e.g., the R mailing list posting guide, and the document about how to create reproducible examples for R on Stack Overflow.