Book description
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of howto recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.
Publisher resources
Table of contents
 Preface

1. The Recipes
 1.1. Downloading and Installing R
 1.2. Getting Help on a Function
 1.3. Viewing the Supplied Documentation
 1.4. Searching the Web for Help
 1.5. Reading Tabular Datafiles
 1.6. Reading from CSV Files
 1.7. Creating a Vector
 1.8. Computing Basic Statistics
 1.9. Initializing a Data Frame from Column Data
 1.10. Selecting Data Frame Columns by Position
 1.11. Selecting Data Frame Columns by Name
 1.12. Forming a Confidence Interval for a Mean
 1.13. Forming a Confidence Interval for a Proportion
 1.14. Comparing the Means of Two Samples
 1.15. Testing a Correlation for Significance
 1.16. Creating a Scatter Plot
 1.17. Creating a Bar Chart
 1.18. Creating a Box Plot
 1.19. Creating a Histogram
 1.20. Performing Simple Linear Regression
 1.21. Performing Multiple Linear Regression
 1.22. Getting Regression Statistics
 1.23. Diagnosing a Linear Regression
 1.24. Predicting New Values
 1.25. Accessing the Functions in a Package
 About the Author
 Copyright
Product information
 Title: 25 Recipes for Getting Started with R
 Author(s):
 Release date: February 2011
 Publisher(s): O'Reilly Media, Inc.
 ISBN: 9781449303235
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