Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.
Awesome Lists | Featured Topics | Projects
https://github.com/ktaranov/AwesomeR

Awesome R resources, packages and FAQs
https://github.com/ktaranov/AwesomeR
List: AwesomeR
awesome-list r
Last synced: 3 months ago
JSON representation
Awesome R resources, packages and FAQs
Host: GitHub
URL: https://github.com/ktaranov/AwesomeR
Owner: ktaranov
License: mit
Created: 2017-07-28T11:59:16.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2020-06-26T13:00:41.000Z (over 4 years ago)
Last Synced: 2024-05-19T22:41:32.497Z (6 months ago)
Topics: awesome-list, r
Language: R
Homepage:
Size: 27.3 KB
Stars: 12
Watchers: 5
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

ultimate-awesome - AwesomeR - Awesome R resources, packages and FAQs. (Other Lists / PowerShell Lists)
jimsghstars - ktaranov/AwesomeR - Awesome R resources, packages and FAQs (R)
README

        # AwesomeR

[![licence badge]][licence]

[![stars badge]][stars]

[![forks badge]][forks]

[![issues badge]][issues]

[![contributors_badge]][contributors]

[licence badge]:https://img.shields.io/badge/license-MIT-blue.svg

[stars badge]:https://img.shields.io/github/stars/ktaranov/AwesomeR.svg

[forks badge]:https://img.shields.io/github/forks/ktaranov/AwesomeR.svg

[issues badge]:https://img.shields.io/github/issues/ktaranov/AwesomeR.svg

[contributors_badge]:https://img.shields.io/github/contributors/ktaranov/AwesomeR.svg

[licence]:https://github.com/ktaranov/AwesomeR/blob/master/LICENSE

[stars]:https://github.com/ktaranov/AwesomeR/stargazers

[forks]:https://github.com/ktaranov/AwesomeR/network

[issues]:https://github.com/ktaranov/AwesomeR/issues

[contributors]:https://github.com/ktaranov/AwesomeR/graphs/contributors

Awesome R resources, packages and FAQs

 

 

## Installing R

| 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 |

[MacOS Link]:https://cran.r-project.org/bin/macosx/R-4.0.2.pkg

[Windows Link]:https://cran.r-project.org/bin/windows/base/R-4.0.2-win.exe

**[⬆ back to top](#awesomer)**

## Rstudio

Best free and Open Source IDE for R: https://www.rstudio.com/products/RStudio/

Alternatives:

 - [R kernel for Jupyter Notebook](https://irkernel.github.io)

 - [Architect - IDE for Data Science](https://www.getarchitect.io)

 - [R-Brain - Next Generation Data Science Cloud Platform](https://r-brain.io/en/)

 - [Exploratory - Cloud Platform](https://exploratory.io)

 - [Displayr - data science, visualization, and reporting platform for everyone](https://www.displayr.com)

 - [Rattle: A Graphical User Interface for Data Mining using R](https://rattle.togaware.com)

 - [RKWard - full featured IDE for R](https://rkward.kde.org)

 - [R AnalyticFlow - utilizes the R environment for statistical computing](http://r.analyticflow.com/en/)

 - [RTools for Visual Studio](https://docs.microsoft.com/en-us/visualstudio/rtvs/?view=vs-2017)

 - [MLstudio - is an interactive platform for data visualization, statistical modeling and machine learning applications](https://github.com/RamiKrispin/MLstudio)

 - [StatET -  Eclipse based IDE for R]()

 - [Tinn-R - editor/word processor ASCII/UNICODE generic for the Windows operating system](https://sourceforge.net/projects/tinn-r/)

 - [IDEA R plugin](https://plugins.jetbrains.com/plugin/6632-r-language-support)

 - [Nvim-R - Vim plugin to work with R](https://github.com/jalvesaq/Nvim-R)

 - [Rbox - an integrated R package for ATOM Editor](https://atom.io/packages/rbox)

| 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 |

[RStudio 1.3.959 - Windows 7+ (64-bit)]:https://download1.rstudio.org/desktop/windows/RStudio-1.3.959.exe

[RStudio 1.3.959 - macOS 10.13+ (64-bit)]:https://download1.rstudio.org/desktop/macos/RStudio-1.3.959.dmg

[RStudio 1.3.959 - Ubuntu 16 (64-bit)]:https://download1.rstudio.org/desktop/xenial/amd64/rstudio-1.3.959-amd64.deb

[RStudio 1.3.959 - Ubuntu 14/Debian 8 (64-bit)]:https://download1.rstudio.org/desktop/trusty/amd64/rstudio-1.3.959-amd64.deb

[RStudio 1.3.959 - Ubuntu 18/Debian 10 (64-bit)]:https://download1.rstudio.org/desktop/bionic/amd64/rstudio-1.3.959-amd64.deb

[RStudio 1.3.959 - Fedora 19/RedHat 7 (64-bit)]:https://download1.rstudio.org/desktop/centos7/x86_64/rstudio-1.3.959-x86_64.rpm

[RStudio 1.3.959 - Fedora 28/RedHat 8 (64-bit)]:https://download1.rstudio.org/desktop/centos8/x86_64/rstudio-1.3.959-x86_64.rpm

[RStudio 1.3.959 - Debian 9 (64-bit)]:https://download1.rstudio.org/desktop/debian9/x86_64/rstudio-1.3.959-amd64.deb

[RStudio 1.3.959 - SLES/OpenSUSE 12 (64-bit)]:https://download1.rstudio.org/desktop/opensuse/x86_64/rstudio-1.3.959-x86_64.rpm

[RStudio 1.3.959 - OpenSUSE 15 (64-bit)]:https://download1.rstudio.org/desktop/opensuse15/x86_64/rstudio-1.3.959-x86_64.rpm

**[⬆ back to top](#awesomer)**

## Free Courses

Russian

 - [Основы программирования на R](https://stepik.org/course/Основы-программирования-на-R-497) (by Bioinformatics Institute)

 - [Анализ данных в R](https://stepik.org/course/Анализ-данных-в-R-129) (by Bioinformatics Institute)

 - [Анализ данных в R. Часть 2](https://stepik.org/course/Анализ-данных-в-R-Часть-2-724) (by Bioinformatics Institute)

 - [Основы статистики](https://stepik.org/course/Основы-статистики-76/) (by Bioinformatics Institute)

 - [Основы статистики. Часть 2](https://stepik.org/course/Основы-статистики-Часть-2-524) (by Bioinformatics Institute)

 - [Основы статистики. Часть 3](https://stepik.org/course/Основы-статистики-Часть-3-2152/) (by Bioinformatics Institute)

Coursera

 - [Data Science Specialization](https://www.coursera.org/specializations/jhu-data-science) (by Johns Hopkins University)

Other:

 - [R-exercises](http://www.r-exercises.com/)

 - [TRYR codeschool](http://tryr.codeschool.com/)

 - [DataCamp](https://www.datacamp.com/)

**[⬆ back to top](#awesomer)**

## R books

 - [BookDown - Write HTML, PDF, ePub, and Kindle books with R Markdown](https://bookdown.org)

 - [FreeComputerBooks R EBooks](http://freecomputerbooks.com/langRBooks.html)

 - [Effective Graphs with Microsoft R Open](http://blog.revolutionanalytics.com/2016/05/e-book-effective-graphs.html)

 - [Little Book of R for Time Series](http://a-little-book-of-r-for-time-series.readthedocs.io/en/latest/index.html) (by Avril Coghlan)

 - [Little Book of R for Biomedical Statistics](http://a-little-book-of-r-for-biomedical-statistics.readthedocs.io/en/latest/index.html) (by Avril Coghlan)

 - [Little Book of R for Multivariate Analysis](http://little-book-of-r-for-multivariate-analysis.readthedocs.io/en/latest/index.html) (by Avril Coghlan)

 - [Text Mining with R](http://tidytextmining.com/) (by Julia Silge and David Robinson)

 - [An Introduction to Statistical Learning with Applications in R](http://www-bcf.usc.edu/~gareth/ISL/) (by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani)

 - [Advanced R Programming](http://adv-r.had.co.nz) (by Hadley Wickham)

 - [Cookbook for R](http://www.cookbook-r.com) (by Winston Chang)

 - [Introduction to Probability and Statistics Using R](http://cran.r-project.org/web/packages/IPSUR/vignettes/IPSUR.pdf) (by G. Jay Kerns (PDF))

 - [Learning Statistics with R](http://health.adelaide.edu.au/psychology/ccs/teaching/lsr) (by Daniel Navarro)

 - [Machine Learning with R](https://www.packtpub.com/packyt/free-ebook/r-machine-learning) (by Brett Lantz, Packt.

 - [ModernDive](https://ismayc.github.io/moderndiver-book/) (by Chester Ismay and Albert Y. Kim)

 - [Practical Regression and Anova using R](http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf) (by Julian J. Faraway (PDF))

 - [R for Data Science](http://r4ds.had.co.nz) (by Garrett Grolemund and Hadley Wickham

 - [R for Spatial Analysis](http://www.columbia.edu/~cjd11/charles_dimaggio/DIRE/resources/spatialEpiBook.pdf) (PDF)

 - [R Language for Programmers](http://www.johndcook.com/blog/r_language_for_programmers) (by John D. Cook)

 - [R Packages](http://r-pkgs.had.co.nz) (by Hadley Wickham)

 - [R Practicals](http://www.columbia.edu/~cjd11/charles_dimaggio/DIRE/resources/R/practicalsBookNoAns.pdf) (PDF)

 - [R Programming](https://en.wikibooks.org/wiki/R_Programming)

 - [R Programming for Data Science](https://leanpub.com/rprogramming) (Needs valid email)

 - [R Succinctly, Syncfusion](https://www.syncfusion.com/resources/techportal/ebooks/rsuccinctly) (PDF, Kindle)

 - [The caret Package](http://topepo.github.io/caret/index.html) (by Max Kuhn)

 - [The R Inferno](http://www.burns-stat.com/pages/Tutor/R_inferno.pdf) (by Patrick Burns (PDF))

 - [The R Language](http://stat.ethz.ch/R-manual/R-patched/doc/html)

 - [The R Manuals](http://cran.r-project.org/manuals.html)

 - [Tidy Text Mining with R](http://tidytextmining.com) (by Julia Silge and David Robinson)

 - [R Programming for Data Science](https://leanpub.com/rprogramming) (by Roger D. Peng)

 - [Creating Effective Graphs with Microsoft R Open](https://github.com/nbrgraphs/mro) (by Naomi B. Robbins)

 - [Data Mining Techniques, Third Edition, Chapter 19](https://www.jmp.com/en_us/offers/data-mining-techniques-book/thanks.html#formsuccess) (by Michael J.A. Berry)

 - [Data Science Live Book](https://livebook.datascienceheroes.com/) (by Pablo Casas)

 - [Статистическая среда R](http://herba.msu.ru/shipunov/software/r/r-ru.htm) (by Shipunov)

 - [R Packages: Organize, Test, Document, and Share Your Code](http://r-pkgs.had.co.nz/) (by Hadley Wickham)

**[⬆ back to top](#awesomer)**

## Awesome R Articles

 - [Running R scripts on Azure Function](https://github.com/thdeltei/azure-function-r)

 

 **[⬆ back to top](#awesomer)**

## Awesome R Packages

 - [R Interface to Python](https://rstudio.github.io/reticulate/index.html)

 

 **[⬆ back to top](#awesomer)**

## License

[MIT](/LICENSE)

**[⬆ back to top](#awesomer)**