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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 (programming language) - Wikipedia 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 - Programming Resources - UCSF Guides at University of California . . . A guide to articles and getting started resources for UCSF researchers and staff interested in learning R, Python, SQL, Unix and more! This workshop series is intended to be a relatively slow-paced introduction to R, and does not assume any prior exposure to R or computer programming
Home - RDocumentation Easily search the documentation for every version of every R package on CRAN and Bioconductor
R | STAT ONLINE "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 "
The Comprehensive R Archive Network 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
R-4. 5. 2 for Windows - The Comprehensive R Archive Network Download R-4 5 2 for Windows The R-project for statistical computing This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016 On older systems, UCRT has to be installed manually from here
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