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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
RStudio Education No matter how much you know about the R ecosystem already, you’ll always have more to learn At RStudio, we know that everyone is at a different stage in learning the vast ecosystem of R, ranging from rank beginner to seasoned data scientists to professional educators
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
CS50s Introduction to Programming with R An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains Learn to use RStudio, a popular integrated development environment (IDE)
What is R: Overview, its Applications and what is R used for? R was developed in 1993 by Ross Ihaka and Robert Gentleman and includes linear regression, machine learning algorithms, statistical inference, time series, and more R is a universal programming language compatible with the Windows, Macintosh, UNIX, and Linux platforms
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