Big Book of R
12 February, 2021
1 Welcome :)
1.1 Your last-ever bookmark
Thanks for stopping by. If you’re like me, you can’t help but bookmark every R-related programming book you find in the hopes that one day you, or someone you know, might find it useful.
Hopefully this is the only bookmark you’ll need in future ;).
When I initially released this collection in late August 2020, it contained about 100 books that I’d been collecting over the previous two years. Since then I’ve found a few more and there have been contributions from many people. The collection now stands at about 150 books.
Most of these are free. Some are paid but usually quite affordable.
If there’s something specific you’re looking for, use the menu or search using the magnifying glass icon at the top of the screen.
Please feel free to contribute paid and free books - see the GitHub.
If you’ve contributed, add your name and Twitter / blog link below!
Oscar Baruffa, Mohit Sharma, Vebash Naidoo, Julia Silge, Erik Gahner Larsen, Nicole Radziwill, Nistara Randhawa, Antoine Fabri, Jon Calder, Mike Smith, Ben Bolker, Maëlle Salmon, Laura Ellis, Bryan Shalloway, Antonio Uzal, Louis Aslett, Lluís Revilla Sancho, Brendan Cullen, Rami Krispin, Michael Dorman, Ezekiel Adebayo Ogundepo, Shamsuddeen Hassan Muhammad, Eric Leung, Isabella Velásquez, Matt Roumaya
This website/book is free to use, and is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
1.6 Live stats
Who says you can’t have privacy AND transparency??
I’m guessing that if you’re interested in R then you also like data ;).
I initially used Google Analytics for this site but as I’m keen to enhance user privacy I switched to Plausible Analytics from 30 December 2020 onward.
You can view the old Google Analytics summary report PDF here. TLDR 22k unique visitors and 33k sessions between August 2020 and December 2020 :D!!
Note that “unique” visits will be higher in Plausible than you’d find with Google Analytics. Because Plausible is GDPR compliant and privacy focused, each user is identified for only 1 day. If someone visits the site 2 days in a row, that’s counted as 2 “uniques” whereas in Google Analytics it would only be counted as 1 unique visitor because of the presence of persistent cookies and such that allows for tracking of users.
From now on, you can view the LIVE site stats right here.