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25 Recipes for Getting Started with R

Book Description

Selected recipes from the R Cookbook, giving you just what you need to know to get started with R for basic statistics.

Table of Contents

  1. 25 Recipes for Getting Started with R
  2. SPECIAL OFFER: Upgrade this ebook with O’Reilly
  3. Preface
    1. Other Resources
    2. Downloading Additional Packages
    3. Software and Platform Notes
    4. Conventions Used in This Book
    5. Using Code Examples
    6. Safari® Books Online
    7. How to Contact Us
  4. 1. The Recipes
    1. 1.1. Downloading and Installing R
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    2. 1.2. Getting Help on a Function
      1. Problem
      2. Solution
      3. Discussion
    3. 1.3. Viewing the Supplied Documentation
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    4. 1.4. Searching the Web for Help
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    5. 1.5. Reading Tabular Datafiles
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    6. 1.6. Reading from CSV Files
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    7. 1.7. Creating a Vector
      1. Problem
      2. Solution
      3. Discussion
    8. 1.8. Computing Basic Statistics
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    9. 1.9. Initializing a Data Frame from Column Data
      1. Problem
      2. Solution
      3. Discussion
    10. 1.10. Selecting Data Frame Columns by Position
      1. Problem
      2. Solution
      3. Discussion
    11. 1.11. Selecting Data Frame Columns by Name
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    12. 1.12. Forming a Confidence Interval for a Mean
      1. Problem
      2. Solution
      3. Discussion
    13. 1.13. Forming a Confidence Interval for a Proportion
      1. Problem
      2. Solution
      3. Discussion
    14. 1.14. Comparing the Means of Two Samples
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    15. 1.15. Testing a Correlation for Significance
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    16. 1.16. Creating a Scatter Plot
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    17. 1.17. Creating a Bar Chart
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    18. 1.18. Creating a Box Plot
      1. Problem
      2. Solution
      3. Discussion
    19. 1.19. Creating a Histogram
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    20. 1.20. Performing Simple Linear Regression
      1. Problem
      2. Solution
      3. Discussion
    21. 1.21. Performing Multiple Linear Regression
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    22. 1.22. Getting Regression Statistics
      1. Problem
      2. Solution
      3. Discussion
    23. 1.23. Diagnosing a Linear Regression
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    24. 1.24. Predicting New Values
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
    25. 1.25. Accessing the Functions in a Package
      1. Problem
      2. Solution
      3. Discussion
      4. See Also
  5. About the Author
  6. SPECIAL OFFER: Upgrade this ebook with O’Reilly
  7. Copyright