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Getting Started with R
1. Using R for Data Analysis
2. Descriptive Statistics
3. Creating and Transforming Variables
4. Making Comparisons
5. Graphing Relationships and Describing Patterns
6. Random Assignment and Sampling
7. Making Controlled Comparisons
8. Foundations of Statistical Inference
9. Hypothesis Tests with One or Two Samples
10. Chi-Square Test and Analysis of Variance
11. Correlation and Bivariate Regression
12. Multiple Regression Analysis
13. Analyzing Regression Residuals
14. Logistic Regression
15. Doing Your Own Political Analysis
Appendix: Tables 1-4: Variables in the Debate Experiment, NES, States, and World Datasets
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