Table of Contents
1. Getting started
2. Technical background
3. Essentials of the R language
4. Data input and dataframes
5. Graphics
6. Graphics in more detail
7. Tables
8. Probability distributions in R
9. Testing
10. Regression
11. Generalised Linear Models
R is one of the leading programming languages for data scientists.
The R Book offers a comprehensive guide to programming in R, plus new animations and integrated live coding to help researchers in various fields.
- A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R
- Comprehensive explorations of worked examples in R
- A complementary companion website with downloadable datasets that are used in the book
- In-depth examination of essential R packages
- Latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R
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Authors
Elinor Jones, PhD
Professor (Teaching), Department of Statistical Science, University College London
Simon Harden, PhD
Retired Professor, Department of Statistical Science, University College London
Michael J. Crawley, FRS
Professor Emeritus of Plant Ecology, Imperial College London
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