awesomer
github.com/ktaranov/awesomer ↗Awesome R resources, packages and FAQs
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Installing RRstudioFree CoursesR booksAwesome R ArticlesAwesome R Packages
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Installation instructions →What's inside
R books
- Advanced R Programming
- An Introduction to Statistical Learning with Applications in R
- BookDown - Write HTML, PDF, ePub, and Kindle books with R Markdown
Write HTML, PDF, ePub, and Kindle books with R Markdown
- Cookbook for R
- Creating Effective Graphs with Microsoft R Open
- Data Mining Techniques, Third Edition, Chapter 19
Rstudio
- Architect - IDE for Data Science
IDE for Data Science
- Displayr - data science, visualization, and reporting platform for everyone
data science, visualization, and reporting platform for everyone
- Exploratory - Cloud Platform
Cloud Platform
- IDEA R plugin
- MLstudio - is an interactive platform for data visualization, statistical modeling and machine learning applications
is an interactive platform for data visualization, statistical modeling and machine learning applications
- Nvim-R - Vim plugin to work with R
Vim plugin to work with R
Free Courses
Awesome R Packages
Awesome R Articles
Showing a sample of 62 resources. View the full list on GitHub →