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  1. RStudio provides free and open source tools for R and enterprise-ready professional software for data science teams to develop and share their work at scale. Live Panel Presentation | Thursday, May 13th at 1pm ET.

  2. Microsoft R Open

    R is the world’s most powerful programming language for statistical computing, machine learning and graphics and has a thriving global community of users, developers and contributors. Microsoft R Open

  3. R


    Installing, Customizing, Updating R. Documentation for R packages organized by topical domains.

  4. R-4.0.5 for Windows (32/64 bit) Download R 4.0.5 for Windows (85 megabytes, 32/64 bit) Installation and other instructions. New features in this version. If you want to double-check that the package you have downloaded matches the package distributed by CRAN, you can compare the md5sum of the .exe to the fingerprint on the master server.

  5. Microsoft R Open › download

    Microsoft R Open. Microsoft R Open Home; About Microsoft R Open; Multithreaded Performance; Reproducibility; Installed Packages; NEWS File; FAQs; Release History; Download; Installation Docs; R Packages. About Packages; Explore All Packages; Explore by Task Views; Package Spotlight; CRAN Time Machine; R Community. Microsoft R Open Forum ...

  6. R: Documentation › other-docs
    • Document Collections, Journals and Proceedings
    • Smaller Collections and Single Documents
    • Non-English Material

    In addition to the manuals, FAQs, the R Journal and its predecessor R News, the following sites may be of interest to R users: 1. Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of R “R-patched” and “R-devel”, updated daily. 2. CRAN has a growing list of contributed documentationin a variety of languages. 3. A list of books and other publicationsrelated to R. 4. The Journal of Statistical Softwarefeatures R-related articles like package guides on a regular basis. 5. Proceedings from the International Workshops on Distributed Statistical Computing.

    R guides and documentation not contained in the contributed documentationsection of CRAN: 1. Sigal Blay maintains a web page with “Technical Notes on the R Programming Language”. 2. Wei-Chen Chen maintains a web page with notes on “The Exploration of Statistic Software R”. 3. David Rossiter maintains a web page with several (geo-)statistics tutorials using R. 4. David Hiebeler maintains a tutorial “Matlab/R Reference”in PDF with some Matlab functions. 5. K. A. Garrett et al have written several papers on “Ecology and epidemiology in the R programming environment” published as part of the The Plant Health Instructor(URL change on 2011-02-01). 6. Benjamin Yakir has written a book named “Introduction to Statistical Thinking (With R, Without Calculus)”. Both the PDF document and data sets are available from the webpage. 7. Avril Coghlan maintains 7.1. “A Little Book of R for Biomedical Statistics” 7.2. “A Little Book of R for Time Series” 7.3. “A Little Book of R for Multivariate Analys...


    1. Translations of the R manuals(An Introduction to R , R Data Import/Export, The R language definition, Writing R Extensions, R Internals) and “R for Beginners” to Chinese by Dr. Guohui Ding.


    Currently none are freely available.


    1. A set of R documentation in Russian by Alexey Shipunov. The list of documents is also available in English. Disclaimer: Most of the documents listed on this page are provided by users of R. The R core team does not take any responsibility for contents (except when explicitly named as author), but we appreciate every effort to create R-related documentation very much and encourage everybody to contribute to this list!

  7. R for Windows › bin › windows

    R for Windows. Subdirectories: base. Binaries for base distribution. This is what you want to install R for the first time. contrib. Binaries of contributed CRAN packages (for R >= 2.13.x; managed by Uwe Ligges). There is also information on third party software available for CRAN Windows services and corresponding environment and make variables.

  8. Quick-R: Home Page

    R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS , SPSS, Stata) who would like to transition to R. My goal is to help you quickly access this language in your work.

  9. r/funny - reddit

    www.reddit.comr › funny

    r/ funny. Subreddit Of The Month [June 2021]: /r/drunkpeopledoingstuff/. Know of a small (under 20,000 subscribers) humor-based subreddit that deserves a month in the spotlight? Link it inside!

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