I've linked to Amazon as many of these books have the "Look Inside" feature.
- The Book of R: A First Course in Programming and Statistics. Davies. https://www.amazon.com/Book-First-Course-Programming-Statistics/dp/1593276516
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Wickham. https://www.amazon.com/Data-Science-Transform-Visualize-Model/dp/1491910399 (Free full text at http://r4ds.had.co.nz/)
- The Art of R Programming: A Tour of Statistical Software Design. Matloff. https://www.amazon.com/Art-Programming-Statistical-Software-Design/dp/1593273843
- ggplot2: Elegant Graphics for Data Analysis. Wickham. https://www.amazon.com/dp/331924275X/ref=rdr_ext_sb_ti_sims_7
- Practical Data Science with R. Zumel, Mount, Porzak. https://www.amazon.com/Practical-Data-Science-Nina-Zumel/dp/1617291560/
- Advanced R. Wickham. Free Full Text Amazon
- R Packages. Wickham. Free Full Text Amazon
- Text Mining with R: A Tidy Approach. Silge and Robinson. Free Full Text Amazon
- The
caretPackage. Kuhn. [Free Full Text] (https://topepo.github.io/caret/index.html)
- Learn SAS by Example: A Programmer's Guide. Cody. https://www.amazon.com/Learning-SAS-Example-Programmers-Guide/dp/1599941651/ref=sr_1_1?ie=UTF8&qid=1525201611&sr=8-1
- The Little SAS Book: A Primer. Delwiche, Slaughter. https://www.amazon.com/Little-SAS-Book-Primer-Fifth/dp/1612903436/ref=sr_1_1?s=books&ie=UTF8&qid=1525201649&sr=1-1
- SAS Functions by Example. Ron Cody. https://www.amazon.com/SAS-Functions-Example-Second-Cody/dp/1607643405/ref=sr_1_1?ie=UTF8&qid=1525294121&sr=8-1
- SAS Certification Prep Guide: Base Programming for SAS 9. SAS Institute. https://www.amazon.com/SAS-Certification-Prep-Guide-Programming/dp/1607649241/ref=pd_sim_14_12?_encoding=UTF8&pd_rd_i=1607649241
- Survival Analysis Using SAS: A Practical Guide. Allison. https://www.amazon.com/Survival-Analysis-Using-SAS-Practical/dp/1599946408
- Absolute Java (6th Edition). Savitch, Mock. https://www.amazon.com/Absolute-Java-6th-Walter-Savitch/dp/0134041674/
- Sample Size Calculations in Clinical Research, Third Edition (Chapman & Hall/CRC Biostatistics Series). Chow, Shao, Wang, Lokhnygina. https://www.amazon.com/Calculations-Clinical-Research-Chapman-Biostatistics/dp/1138740985/ref=sr_1_1?ie=UTF8&qid=1524695175
- Fundamentals of Clinical Trials. Friedman, Furberg, DeMets. https://www.amazon.com/Fundamentals-Clinical-Trials-Lawrence-Friedman/dp/0387985867/ref=sr_1_19?ie=UTF8&qid=1524763903&sr=8-19
- Introduction to Design and Analysis of Experiments. Cobb. https://www.amazon.com/Introduction-Design-Analysis-Experiments-George/dp/047041216X/ref=sr_1_3?ie=UTF8&qid=1525383530&sr=8-3
- Guide to Quality Control. Ishikawa. https://www.amazon.com/Guide-Quality-Control-Kaoru-Ishikawa/dp/9283310365
- Biostatistical Analysis. Zar. https://www.amazon.com/Biostatistical-Analysis-5th-Jerrold-Zar/dp/0131008463/ref=sr_1_1?s=books&ie=UTF8&qid=1525294212&sr=1-1
- Applied Predictive Modeling. Kuhn and Johnson. https://www.amazon.com/Applied-Predictive-Modeling-Max-Kuhn/dp/1461468485/ref=sr_1_1?ie=UTF8&qid=1524250504&sr=8-1
- Applied Logistic Regression. Hosmer and Lemeshow. https://www.amazon.com/Applied-Logistic-Regression-David-Hosmer/dp/0470582472/ref=sr_1_1?ie=UTF8&qid=1524446684&sr=8-1
- Survival Analysis: Techniques for Censored and Truncated Data. Klein, Moeschberger. https://www.amazon.com/Survival-Analysis-Techniques-Truncated-Statistics/dp/038795399X/ref=sr_1_1?s=books&ie=UTF8&qid=1524865819&sr=1-1
- Markov Chain Monte Carlo in Practice (Chapman & Hall/CRC Interdisciplinary Statistics). Gilks, Richardson, Spiegelhalter. https://www.amazon.com/Markov-Practice-Chapman-Interdisciplinary-Statistics/dp/0412055511/
- Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques . Witten, Frank, Hall, Pal. https://www.amazon.com/Data-Mining-Fourth-Techniques-Management/dp/0128042915/
- Data Mining: The Textbook. Aggarwal. https://www.amazon.com/Data-Mining-Textbook-Charu-Aggarwal/dp/3319141414/
- Categorical Data Analysis. Agresti. https://www.amazon.com/Categorical-Data-Analysis-Alan-Agresti/dp/0470463635
- Applied Linear Statistical Models. Kutner. https://www.amazon.com/Statistical-McGraw-Hill-Operations-Decision-Sciences/dp/0072386886
- An Introduction to Probability Theory and Its Applications. Feller. https://www.amazon.com/Introduction-Probability-Theory-Applications-William/dp/B000VEJQG4/
- Analysis of Longitudinal Data (Oxford Statistical Science Series). Diggle, Heagerty, Liang, Zeger. https://www.amazon.com/Analysis-Longitudinal-Oxford-Statistical-Science/dp/0199676755/ref=sr_1_1?s=books&ie=UTF8&qid=1524865898&sr=1-1
- Applied Longitudinal Analysis. Fitzmaurice and Ware. https://www.amazon.com/Applied-Longitudinal-Analysis-Garrett-Fitzmaurice/dp/0470380276/ref=sr_1_1?ie=UTF8&qid=1524446746&sr=8-1
- Statistical Methods for the Analysis of Repeated Measurements. Davis. https://www.amazon.com/Statistical-Analysis-Repeated-Measurements-Statistics/dp/0387953701/ref=sr_1_1?ie=UTF8&qid=1524865775&sr=8-1