Diez, D.M., Barr, C.D., & Çetinkaya-Rundel, M. (2015). OpenIntro Statistics (3rd Ed).
This is an open source textbook and can be downloaded in PDF format here, from the OpenIntro website, or a printed copy can be ordered from Amazon.
Navarro, D. (2015, version 0.5). Learning Statistics with R
This is free textbook that supplements a lot of the material covered in Diez and Barr. We will use the chapter on Bayesian analysis. You can download a PDF version, or buy a print copy from Lulu through the author’s website.
Wickham, H., & Grolemund, G. (2016) R for Data Science. O’Reilly.
Most of this books is available freely online at r4ds.had.co.nz/ but can be purchased from Amazon.
Kabacoff, R.I. (2011). R in Action. Manning Publications.
You can find a lot of the material in R in Action on Kabacoff’s website, statmethods.net. You can receive 38% off using the ria38 promo code when ordering from here.
Wickham, H. Advanced R. Baca Raton, FL: Taylor & Francis Group.
Most of this book is available freely online at adv-r.had.co.nz but can be purchased from Amazon.
Kruschke, J.K. (2014). Doing Bayesian Data Analysis, Second Edition: A Tutorial with R, JAGS, and Stan (2nd Ed). London: Academic Press.
This book can be purchased from Amazon, but also check out the author’s webiste (doingbayesiandataanalysis.blogspot.com/) for additional resources.