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

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