This book is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Tilman M. Davies starts 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. Later chapters show how to create impressive data visualizations with R’s graphics tools and contributed packages, like ggplot2, ggvis, and rgl.

<ASIN:1718503687 >

Author: Tilman M. Davies
Publisher: No Starch Press
Date: November 2025
Pages: 936
ISBN: 978-1718503687
Print: 1718503687
Kindle: B0DBXZ93R7
Audience: People wanting to learn R
Level: Introductory/Intermediate
Category: Data Science

Topics include:

• The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
• Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling and how to execute them in R
• How to access R’s thousands of functions, libraries, and datasets
• How to draw valid and useful conclusions from your data and create publication-quality graphics of your results

For recommendations of books on data science see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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