Awesome R resources, packages and FAQs
| Platform | Version | Distributive Link | Direct download | Size, Mb | SHA-1 |
|---|---|---|---|---|---|
| MacOS | 4.0.2 | https://cran.r-project.org/bin/macosx/ | MacOS Link | 84 | 7e4e1f0d407ccd475eeaeadd96a126ee9c83db3b |
| Linux | 4.0.2 | https://cran.r-project.org/bin/linux/ | |||
| Windows | 4.0.2 | https://cran.r-project.org/bin/windows/base/ | Windows Link | 84 | df4ad3c36e193423ebf2d698186feded15777da1 |
Best free and Open Source IDE for R: https://www.rstudio.com/products/RStudio/
Alternatives:
- R kernel for Jupyter Notebook
- Architect - IDE for Data Science
- R-Brain - Next Generation Data Science Cloud Platform
- Exploratory - Cloud Platform
- Displayr - data science, visualization, and reporting platform for everyone
- Rattle: A Graphical User Interface for Data Mining using R
- RKWard - full featured IDE for R
- R AnalyticFlow - utilizes the R environment for statistical computing
- RTools for Visual Studio
- MLstudio - is an interactive platform for data visualization, statistical modeling and machine learning applications
- StatET - Eclipse based IDE for R
- Tinn-R - editor/word processor ASCII/UNICODE generic for the Windows operating system
- IDEA R plugin
- Nvim-R - Vim plugin to work with R
- Rbox - an integrated R package for ATOM Editor
| Installers | Size | Date |
|---|---|---|
| RStudio 1.3.959 - Windows 7+ (64-bit) | 171.4 MB | 2020-05-18 |
| RStudio 1.3.959 - macOS 10.13+ (64-bit) | 148.6 MB | 2020-05-18 |
| RStudio 1.3.959 - Ubuntu 16 (64-bit) | 124.6 MB | 2020-05-18 |
| RStudio 1.3.959 - Ubuntu 18/Debian 10 (64-bit) | 126.1 MB | 2020-05-18 |
| RStudio 1.3.959 - Fedora 19/RedHat 7 (64-bit) | 146.2 MB | 2020-05-18 |
| RStudio 1.3.959 - Fedora 28/RedHat 8 (64-bit) | 150.3 MB | 2020-05-18 |
| RStudio 1.3.959 - Debian 9 (64-bit) | 126.4 MB | 2020-05-18 |
| RStudio 1.3.959 - SLES/OpenSUSE 12 (64-bit) | 119.0 MB | 2020-05-18 |
| RStudio 1.3.959 - OpenSUSE 15 (64-bit) | 127.6 MB | 2020-05-18 |
Russian
- Основы программирования на R (by Bioinformatics Institute)
- Анализ данных в R (by Bioinformatics Institute)
- Анализ данных в R. Часть 2 (by Bioinformatics Institute)
- Основы статистики (by Bioinformatics Institute)
- Основы статистики. Часть 2 (by Bioinformatics Institute)
- Основы статистики. Часть 3 (by Bioinformatics Institute)
Coursera
- Data Science Specialization (by Johns Hopkins University)
Other:
- BookDown - Write HTML, PDF, ePub, and Kindle books with R Markdown
- FreeComputerBooks R EBooks
- Effective Graphs with Microsoft R Open
- Little Book of R for Time Series (by Avril Coghlan)
- Little Book of R for Biomedical Statistics (by Avril Coghlan)
- Little Book of R for Multivariate Analysis (by Avril Coghlan)
- Text Mining with R (by Julia Silge and David Robinson)
- An Introduction to Statistical Learning with Applications in R (by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani)
- Advanced R Programming (by Hadley Wickham)
- Cookbook for R (by Winston Chang)
- Introduction to Probability and Statistics Using R (by G. Jay Kerns (PDF))
- Learning Statistics with R (by Daniel Navarro)
- Machine Learning with R (by Brett Lantz, Packt.
- ModernDive (by Chester Ismay and Albert Y. Kim)
- Practical Regression and Anova using R (by Julian J. Faraway (PDF))
- R for Data Science (by Garrett Grolemund and Hadley Wickham
- R for Spatial Analysis (PDF)
- R Language for Programmers (by John D. Cook)
- R Packages (by Hadley Wickham)
- R Practicals (PDF)
- R Programming
- R Programming for Data Science (Needs valid email)
- R Succinctly, Syncfusion (PDF, Kindle)
- The caret Package (by Max Kuhn)
- The R Inferno (by Patrick Burns (PDF))
- The R Language
- The R Manuals
- Tidy Text Mining with R (by Julia Silge and David Robinson)
- R Programming for Data Science (by Roger D. Peng)
- Creating Effective Graphs with Microsoft R Open (by Naomi B. Robbins)
- Data Mining Techniques, Third Edition, Chapter 19 (by Michael J.A. Berry)
- Data Science Live Book (by Pablo Casas)
- Статистическая среда R (by Shipunov)
- R Packages: Organize, Test, Document, and Share Your Code (by Hadley Wickham)