Learning R

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.

The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you’ve learned, and concludes with exercises, most of which involve writing R code.

• Write a simple R program, and discover what the language can do
• Use data types such as vectors, arrays, lists, data frames, and strings
• Execute code conditionally or repeatedly with branches and loops
• Apply R add-on packages, and package your own work for others
• Learn how to clean data you import from a variety of sources
• Understand data through visualization and summary statistics
• Use statistical models to pass quantitative judgments about data and make predictions
• Learn what to do when things go wrong while writing data analysis code

Table of Contents

Part I. The R Language
Chapter 1. Introduction
Chapter 2. A Scientific Calculator
Chapter 3. Inspecting Variables and Your Workspace
Chapter 4. Vectors, Matrices, and Arrays
Chapter 5. Lists and Data Frames
Chapter 6. Environments and Functions
Chapter 7. Strings and Factors
Chapter 8. Flow Control and Loops
Chapter 9. Advanced Looping
Chapter 10. Packages
Chapter 11. Dates and Times

Part II. The Data Analysis Workflow
Chapter 12. Getting Data
Chapter 13. Cleaning and Transforming
Chapter 14. Exploring and Visualizing
Chapter 15. Distributions and Modeling
Chapter 16. Programming
Chapter 17. Making Packages

Part III. Appendixes
Appendix A. Properties of Variables
Appendix B. Other Things to Do in R
Appendix C. Answers to Quizzes
Appendix D. Solutions to Exercises