25 Recipes for Getting Started with R
Excerpts from the R Cookbook
1st Edition
Published on 31. January 2011
62 pages
978-1-4493-0386-0 (ISBN)
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 how-to 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.
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Content
- Intro
- 25 Recipes for Getting Started with R
- Preface
- Other Resources
- Downloading Additional Packages
- Software and Platform Notes
- Conventions Used in This Book
- Using Code Examples
- Safari® Books Online
- How to Contact Us
- 1. The Recipes
- 1.1. Downloading and Installing R
- Problem
- Solution
- Discussion
- See Also
- 1.2. Getting Help on a Function
- Problem
- Solution
- Discussion
- 1.3. Viewing the Supplied Documentation
- Problem
- Solution
- Discussion
- See Also
- 1.4. Searching the Web for Help
- Problem
- Solution
- Discussion
- See Also
- 1.5. Reading Tabular Datafiles
- Problem
- Solution
- Discussion
- See Also
- 1.6. Reading from CSV Files
- Problem
- Solution
- Discussion
- See Also
- 1.7. Creating a Vector
- Problem
- Solution
- Discussion
- 1.8. Computing Basic Statistics
- Problem
- Solution
- Discussion
- See Also
- 1.9. Initializing a Data Frame from Column Data
- Problem
- Solution
- Discussion
- 1.10. Selecting Data Frame Columns by Position
- Problem
- Solution
- Discussion
- 1.11. Selecting Data Frame Columns by Name
- Problem
- Solution
- Discussion
- See Also
- 1.12. Forming a Confidence Interval for a Mean
- Problem
- Solution
- Discussion
- 1.13. Forming a Confidence Interval for a Proportion
- Problem
- Solution
- Discussion
- 1.14. Comparing the Means of Two Samples
- Problem
- Solution
- Discussion
- See Also
- 1.15. Testing a Correlation for Significance
- Problem
- Solution
- Discussion
- See Also
- 1.16. Creating a Scatter Plot
- Problem
- Solution
- Discussion
- See Also
- 1.17. Creating a Bar Chart
- Problem
- Solution
- Discussion
- See Also
- 1.18. Creating a Box Plot
- Problem
- Solution
- Discussion
- 1.19. Creating a Histogram
- Problem
- Solution
- Discussion
- See Also
- 1.20. Performing Simple Linear Regression
- Problem
- Solution
- Discussion
- 1.21. Performing Multiple Linear Regression
- Problem
- Solution
- Discussion
- See Also
- 1.22. Getting Regression Statistics
- Problem
- Solution
- Discussion
- 1.23. Diagnosing a Linear Regression
- Problem
- Solution
- Discussion
- See Also
- 1.24. Predicting New Values
- Problem
- Solution
- Discussion
- See Also
- 1.25. Accessing the Functions in a Package
- Problem
- Solution
- Discussion
- See Also
- About the Author
- Copyright
