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Feb 28, 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 preferred CRAN mirror.

R is free and open-source software distributed under the GNU General Public License. [3][11] The language is implemented primarily in C, Fortran, and R itself. Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows).

R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions. All these features help you think about …

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.

Jul 23, 2025 · In this section, we will explore the steps to install and set up R and RStudio on your system. We'll also cover the necessary configurations to get started with writing and executing R code. Installing R Studio on Windows and Linux? In this section, we will cover the basic concepts and syntax of R programming.

Jun 13, 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 modelling, statistical tests, time series analysis, classification, clustering, etc.

Jul 31, 2025 · R is a free, open-source programming language tailored for data visualization and statistical analysis. Find out more about the R programming language below.

"R is a language and environment for statistical computing and graphics." "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."

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.