Diez, D.M., Barr, C.D., & Çetinkaya-Rundel, M. (2019). OpenIntro Statistics (4th 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. (2018, version 0.6). 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, Bookdown version, or visit the author’s website at learningstatisticswithr.com.
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.
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.