Book description
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 handson guide, youâ??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 youâ??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 addon 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
 Learning R
 Preface

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

II. The Data Analysis Workflow
 12. Getting Data
 13. Cleaning and Transforming
 14. Exploring and Visualizing
 15. Distributions and Modeling
 16. Programming
 17. Making Packages
 III. Appendixes
 E. Bibliography
 Index
 About the Author
 Colophon
 Copyright
Product information
 Title: Learning R
 Author(s):
 Release date: September 2013
 Publisher(s): O'Reilly Media, Inc.
 ISBN: 9781449357108
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