Free Resources for Learning R (Programming)

  R is a popular and widely used programming language for statistical analysis. With various programming and statistical features and being absolutely free, its implications to every data science enthusiast and an academic are multiple. 

As a learner myself, I have tried collecting all the free resources for learning R programming language. By free, I meant it to be freely available (100% Free), accessible with the means of internet where the individual has no need to pay anything online. The current digital world luckily provides our wish to learn anything. For that; however, the time and dedication is the strong requirement for sure. More, the collection has to be well prepared ahead before beginning the learning journey.




The resources will be continuously added as I, myself, will continue my comprehension and practice programming skills in R. The general drawbacks (which I have faced) of the following resources are that *they do not assess your true understanding before or after you complete them, *they begin from the very beginning with the same topics (which sure might be the good way to revise and relearn), *confusion within the resources as which might be appropriate.

Also, the post in particular may only  be suitable for the complete beginner, or most as a beginner myself. Bookmarking and listing might be helpful but would be personal (little helpful in the terms of sharing), and the following collective lists also come as the help for easy access for myself with the objective to share.

So, Let's begin the list:

A. ARTICLE/ BLOGS/ WEBSITEs/ ~ LINKS:

  1. R_(programming_language): Wikipedia Article: Wikibooks, wikiversity :Both Wikibooks and Wikiversity provides other external links, which have been incorporated in the lists.

  2. r-bloggers.com

  3. developer.r-project.org/ blogs

  4. analyticsvidhya.com

  5. personality-project.org/r: ©William Revelle and the Personality Project.

  6. cyclismo.org :Kelly Black, Department of Mathematics,

    University of Georgia Athens, GA 30602
  7. moderndive.com: website for Statistical Inference via Data Science: A ModernDive into R and the tidyverse

  8. varianceexplained.org: David Robinson 2014

  9. Statistics with R: Vincent Zoonekynd
    <zoonek@math.jussieu.fr>

  10. faculty.washington.edu

  11. scholar.harvard.edu/dromney/online-resources-learning-r :

  12. stat.auckland.ac.nz

  13. mayin.org Ajay Shah, 2005

  14. warwick.ac.uk/ Lists More Resources

  15. patilv.com Lists more resources

  16. stats.stackexchange.com Lists more resources

  17. programmingr lists resources

  18. statsguys.wordpress.com/


B. YOUTUBE VIDEOS /  MULTIMEDIA ~ LINKS

C. BOOKS/Pdfs ~

~easily available through google search

  1. r4ds.had.co.nz

  2. R for Data Science: Exercise Solution

  3. 'Introduction to R' book open access from School of Biological Sciences at the University of Aberdeen

  4. cran.r-project.org (manuals)

  5. cran.r-project.org (other-docs)

  6. r-project.org (R-books): Only to view the lists of the book

  7. The important among all: www.bigbookofr.com


D. ONLINE COURSE MATERIALS/MOOCs/


E. Specific Packages:


F. Video Streaming Sites:


G. Miscellaneous




The list will continue whenever I come across other helpful resources will be found. My learning will continue even if little. Any comments are welcomed.

~Thankyou!

HAPPY LEARNING R.

बढी पढिएका सामग्रीहरुः

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Learner, Loves/Learns agronomy, remote sensing, gis, other interests in writing poetry, learning languages, literature, learning the guitar, (+ve person)