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:
R_(programming_language): Wikipedia Article: Wikibooks, wikiversity :Both Wikibooks and Wikiversity provides other external links, which have been incorporated in the lists.
r-bloggers.com
developer.r-project.org/ blogs
analyticsvidhya.com
personality-project.org/r: ©William Revelle and the Personality Project.
cyclismo.org :Kelly Black, Department of Mathematics,
University of Georgia Athens, GA 30602moderndive.com: website for Statistical Inference via Data Science: A ModernDive into R and the tidyverse
varianceexplained.org: David Robinson 2014
Statistics with R: Vincent Zoonekynd
<zoonek@math.jussieu.fr>faculty.washington.edu
scholar.harvard.edu/dromney/online-resources-learning-r :
stat.auckland.ac.nz
mayin.org Ajay Shah, 2005
warwick.ac.uk/ Lists More Resources
patilv.com Lists more resources
stats.stackexchange.com Lists more resources
programmingr lists resources
statsguys.wordpress.com/
B. YOUTUBE VIDEOS / MULTIMEDIA ~ LINKS
Playlist: Learn R Programming with Johns Hopkins University
Playlist: Learn R by Intensive Practice
Playlist: R Tutorial Videos (Edureka)
Playlist: Learn R + Statistics
Playlist: R programming language(Hindi)
Playlist: twotorials.com
Plotting in R for Biologists -- The Course by Maria Nattestad
Vidya-mitra
All Playlists From Youtube
C. BOOKS/Pdfs ~
~easily available through google search
r4ds.had.co.nz
R for Data Science: Exercise Solution
'Introduction to R' book open access from School of Biological Sciences at the University of Aberdeen
cran.r-project.org (manuals)
cran.r-project.org (other-docs)
r-project.org (R-books): Only to view the lists of the book
The important among all: www.bigbookofr.com
D. ONLINE COURSE MATERIALS/MOOCs/
Datacamp.com
learndatasci.com
cognitiveclass.ai
dcl-docs.stanford.edu/home/ (includes books)
statmethods.net/
edx (data-science-r-basics)
edx.org introduction-to-r-for-data-science-2
R for Biologists (R LABS) Site:ecarleton.ca
E. Specific Packages:
F. Video Streaming Sites:
- Twitch: https://www.twitch.tv/kierisi
G. Miscellaneous
- Twitter Search: #rstats
- Learning Resources (R Nepal)
- R User Facebook Group of Nepal
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!
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