This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis.
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 writing programs in R.
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 tests and modeling. You’ll even learn how to create impressive data visualizations with R’s graphics tools and contributed packages, like ggplot2, ggvis, and rgl.
Dozens of hands-on exercises take you from theory to practice as you learn:
The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loopsStatistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling and how to execute them in RHow to access R’s thousands of functions, libraries, and datasetsHow to draw valid and useful conclusions from your data and create publication-quality graphics of your results
The Book of R brings both statistics and R to life. With clear explanations, practical examples, and hands-on exercises, this book opens the door to the evolving world of data analysis.
New to this edition: The entire book has been revised and expanded, with nearly 100 pages of new content and exercises. You’ll find greater coverage of data plots and R graphics, guidance on using pipes to string together commands, and new ways to read and write external files, among many other lessons.
From the Publisher
About the Author
Tilman M. Davies is an academic at the Department of Mathematics and Statistics at the University of Otago in New Zealand, where he teaches statistics at all university levels. He has been programming in R since the early 2000s and uses it in all of his courses. Davies has received multiple significant research grants for his methodological work in spatial statistics and in 2024 received the Littlejohn Award, the premier research award of the New Zealand Statistical Association.
About the Publisher
No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.
ASIN : B0DBXZ93R7
Publisher : No Starch Press
Accessibility : Learn more
Publication date : November 25, 2025
Language : English
File size : 35.1 MB
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 936 pages
ISBN-13 : 978-1718503694
Page Flip : Enabled
Best Sellers Rank: #1,850,439 in Kindle Store (See Top 100 in Kindle Store) #46 in Mathematical & Statistical Software #216 in Mathematical & Statistical #322 in Probability & Statistics (Books)