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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 The R Journal is an open access, academic journal that features short to medium-length articles on the use and development of R The journal includes articles on packages, programming tips, CRAN news, and foundation news
R in Visual Studio Code R in Visual Studio Code The R programming language is a dynamic language built for statistical computing and graphics R is commonly used in statistical analysis, scientific computing, machine learning, and data visualization The R extension for Visual Studio Code supports extended syntax highlighting, code completion, linting, formatting, interacting with R terminals, viewing data, plots
How to Install and Set Up R - Statology In this tutorial, We’ll walk through the steps to install and set up R on different operating systems (Windows, macOS, Linux) By the end, you’ll be ready to start coding in R and explore the powerful tools for analyzing data, machine learning, and visualization
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: 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
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 John Chambers et al
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 variety of languages