Many authors of the following resources inherit this open-source spirit: they are willing to put their contents online and let everyone can learn R for free. In this post, we collect many free online resources to help you learn R for FREE. Notice that these resources are offered in a different form of format such as videos, books, podcasts, or purely just texts. We classify these resources based on their formats for fitting your learning styles.R is an open-source software package and rapidly increases its popularity in both industry and academics. Google trend is probably the best tool to show you how popular R is since it allows us to rank the search interest among five major statistical software packages. You can clearly observe that R has been the top search interest since 2011 and continues to maintain its top place.
1. R Courses (with videos)
- Coursera
- swirl
- R Programming Tutorial
- Code School -Try R
- twotutorials: This website teaches you how to do stuff in R within two minutes or less.
2. R Books
- R for data science
- R packages
- R Programming
- Advanced R
- Cookbook for R
- bookdown: This is a new website to host lots of R books. You can read them online and some authors even allow you to download the book as a PDF file.
3.R Journals
4. R Q and A
5. R Podcasts
The following first three podcasts are talking about the news about R while the others mainly involve the applications (data science, finance, ... ) in R.
6. R tutorials
This type of learning resources provides some step-by-step procedures to learn R. One trait about them is that these resources are usually offered in the form of texts instead of videos like R courses above. These resources are mainly written by many bloggers.
- Quick-R: The author 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. The author also provided a lot of tables and figures to help you learn R (mainly functions) step by step.
- R tutorials (provided by R bloggers)
- Resources to help you learn and use R (provided by UCLA idre)
- tutorials (provided by Karl Broman)
- OnePageR: A Survival Guide to Data Science with R
Page last updated on 14 Dec. 2016.