Books & Videos

Table of Contents

  1. Getting Started with R

    1. Chapter 1 R Basics

      1. Downloading the Software
      2. Try Some Simple Tasks
      3. User Interface
      4. Installing a Package: A GUI Interface
      5. Data Structures
      6. Sample Datasets
      7. The Working Directory
      8. Putting Data into R
      9. Sourcing a Script
      10. User-Written Functions
      11. A Taste of Things to Come
    2. Chapter 2 An Overview of R Graphics

      1. Exporting a Graph
      2. Exploratory Graphs and Presentation Graphs
      3. Graphics Systems in R
  2. Single-Variable Graphs

    1. Chapter 3 Strip Charts

      1. A Simple Graph
      2. Data Can Be Beautiful
    2. Chapter 4 Dot Charts

      1. Basic Dot Chart
      2. Exercise 4-1
    3. Chapter 5 Box Plots

      1. The Box Plot
      2. Nimrod Again
      3. Making the Data Beautiful
    4. Chapter 6 Stem-and-Leaf Plots

      1. Basic Stem-and-Leaf Plot
      2. Exercise 6-1
    5. Chapter 7 Histograms

      1. Simple Histograms
      2. Histograms with a Second Variable
    6. Chapter 8 Kernel Density Plots

      1. Density Estimation
      2. The Cumulative Distribution Function
    7. Chapter 9 Bar Plots (Bar Charts)

      1. Basic Bar Plot
      2. Spine Plot
      3. Bar Spacing and Orientation
    8. Chapter 10 Pie Charts

      1. Ordinary Pie Chart
      2. Fan Plot
    9. Chapter 11 Rug Plots

      1. The Rug Plot
      2. Exercise 11-1
  3. Two-Variable Graphs

    1. Chapter 12 Scatter Plots and Line Charts

      1. Basic Scatter Plots
      2. Line Charts
      3. Templates
      4. Enhanced Scatter Plots
    2. Chapter 13 High-Density Plots

      1. Working with Large Datasets
    3. Chapter 14 The Bland-Altman Plot

      1. Assessing Measurement Reliability
    4. Chapter 15 QQ Plots

      1. Comparing Sets of Numbers
  4. Multivariable Graphs

    1. Chapter 16 Scatter plot Matrices and Corrgrams

      1. Scatter plot Matrix
      2. Corrgram
      3. Generalized Pairs Matrix with Mixed Quantitative and Categorical Variables
    2. Chapter 17 Three-Dimensional Plots

      1. 3D Scatter plots
      2. False Color Plots
      3. Bubble Plots
    3. Chapter 18 Coplots (Conditioning Plots)

      1. The Coplot
      2. Exercise 18-1
    4. Chapter 19 Clustering: Dendrograms and Heat Maps

      1. Clustering
      2. Heat Maps
    5. Chapter 20 Mosaic Plots

      1. Graphing Categorical Data
  5. What Now?

    1. Chapter 21 Resources for Extending Your Knowledge of Things Graphical and R Fluency

      1. R Graphics
      2. General Principles of Graphics
      3. Learning More About R
      4. Statistics with R
    2. Appendix References

    3. Appendix R Colors

    4. Appendix The R Commander Graphical User Interface

    5. Appendix Packages Used/Referenced

    6. Appendix Importing Data from Outside of R

      1. Some Useful Internet Data Repositories
      2. Importing Data of Various Types into R
    7. Appendix Solutions to Chapter Exercises

      1. Exercises 1-1 Through 1-4
      2. Exercise 3-1
      3. Exercise 3-2
      4. Exercise 4-1
      5. Exercise 4-2
      6. Exercise 5-1
      7. Exercise 5-2
      8. Exercise 6-1
      9. Exercise 6-2
      10. Exercise 7-1
      11. Exercise 8-1
      12. Exercise 8-2
      13. Exercise 9-1
      14. Exercise 9-2
      15. Exercise 10-1
      16. Exercise 10-2
      17. Exercise 11-1
      18. Exercise 12-1
      19. Exercise 12-2
      20. Exercise 13-1
      21. Exercise 14-1
      22. Exercise 15-1
      23. Exercise 15-2
      24. Exercise 16-1
      25. Exercise 17-1
      26. Exercise 17-2
      27. Exercise 18-1
      28. Exercise 19-1
      29. Exercise 19-2
      30. Exercise 19-3
      31. Exercise 20-1
      32. Exercise 21-1
    8. Appendix Troubleshooting: Why Doesn’t My Code Work?

      1. Misspelling
      2. Confusing Uppercase/Lowercase
      3. Too Few (or Too Many) Parenthesis Signs
      4. Forgetting to Load a Package
      5. Forgetting to Install a Package
      6. A Dataset in a Loaded Package Is Not Found
      7. Leaving Out a Comma
      8. Copy-and-Paste Error
      9. Directory Problems—Cannot Load a Saved File
      10. Missing File Extension
      11. Do Not Assume That All Packages Use the Same Argument Abbreviations
      12. Outdated Packages/Package Incompatibility
    9. Appendix R Functions Introduced in This Book

      1. Data Input/Output
      2. Datasets
      3. Graphical Functions 1—Creates Graph
      4. Graphical Functions 2—Adds Features to Existing Graph
      5. Miscellaneous
      6. Packages
      7. Statistics
      8. User-Defined Functions and Scripts
      9. Workspace and Directories