by Tilman M. Davies
July 2016, 832 pp.
“You must see this epic work...a game changer.”
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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.
You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.
Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
About the Author
Tilman M. Davies is a senior lecturer at the University of Otago in New Zealand, where he teaches statistics and R at all university levels. He has been programming in R for 10 years and uses it in all of his courses.
Table of Contents
PART I THE LANGUAGE
PART II PROGRAMMING
PART III STATISTICS AND PROBABILITY
PART IV STATISTICAL TESTING AND MODELING
PART V ADVANCED GRAPHICS
“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.”
“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.”
“Overall, The Book of R is an excellent reference for novice data analysts and for students being introduced to statistical programming tools.”
“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.”
“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.”