The Book of R

Praise

“You must see this epic work…a game changer.”
—Kirk Borne, Principal Data Scientist at Booz Allen Hamilton

“Extremely well written with excellent explanations and examples, this book fully accomplishes the goal of providing the reading with both the programming and statistical skills required to become proficient with this language. I am nothing short of amazed at the consistent quality and clarity of the text and the utility of the exercises.”
—Computerworld

“The Book of R is a gentle yet informative introduction to the statistical software environment R. It is for anyone interested in programming, statistics, and data analysis, and is especially well-suited for students and instructors of statistics courses.”
—Timothy King, Solutions Review

“I’ve been looking for a book like this for some time. It fills some holes in my course content that my own book doesn’t address.”
—insideBIGDATA

“I recommend this book to both beginners, as a good introduction to basic statistics and R, and to intermediate users as a desktop reference to assist in performing day-to-day analysis.”
—One R Tip a Day

“Overall, The Book of R is an excellent reference for novice data analysts and for students being introduced to statistical programming tools.”
—Harry J. Foxwell, ACM’s Computing Reviews

“Because it has a clearly defined structure, one can easily focus on aspects of specific interest . . . And this is, in fact, what the author intended: to serve a variety of audiences that would be interested in the dual aspects of using R as both a programming language and as a tool for statistical problem solving. In this regard, the book serves these audiences well, including students, researchers, and practitioners of both computing and statistical methods.”
—Janusz Zalewski, ACM’s Computing Reviews

“The book is therefore addressing two audiences with different needs – coders who might need help with understanding statistical concepts and statisticians of one breed or another who want to learn how to code. Satisfying both groups is a big ask, but Tilman Davies pulls it off.”
—Network Security Newsletter

“Davies’ book is perhaps the most comprehensive explanation of the core R language in print, and an excellent introduction to using R for statistical programming.”
—Oliver Keyes, sociotechnical systems researcher