An Introductory Guide to R

- Purpose of This Book

- What You Will be Able to Do after Reading This Book

- Whom This Book Is For

- Approach

2. Getting Started

- Download and Install R

- Download and Install RStudio

- RStudio Fundamentals

- Download, Install, and Load R Packages

- Read Data into R

- Write Data Files

- Entering Data via Inline Code

- Cleaning Variable Names

- Clearing the Console

- Clearing the Environment

- Some Thoughts on Debugging R Code

3. Data Wrangling

- Example Data

- The Pipe

- Select Variables

- Select Cases

- Missing Data (Part I)

- Recode Variables

- Arithmetic and Logical Operators

- Missing Data (Part II)

- Identify and Change Variable Types

- Change Factor Value Labels

- Join Data Frames

- Aggregate (Summarize) Data

- Wide and Long Data Formats

4. Descriptive Statistics, t-Tests, One-Way ANOVA, and Chi-Square Test

- Descriptive Statistics

- t-Tests

- One-Way ANOVA

- Crosstabulation

5. Factorial ANOVA, Repeated-Measures ANOVA, Correlation, and Regression

- Factorial ANOVA

- Repeated-Measures ANOVA

- Correlation

- Regression

6. Data Visualization

- Layered Grammar of Graphics

- Bar Chart

- Boxplot

- Line Graph

- Scatterplot

- Regression Diagnostics

- Saving a Chart

7. R Markdown

- Markdown Template

- Working in Markdown

8. Functions

9. Next Steps

- Finding Help

- Learn More about R and R Programming

- Community

- Learn More about Statistics

- Updating R, R Packages, and RStudio

10. Conclusion

Appendix A. R Data Structures

Appendix B. Suggested Answers to Exercises

References

Index