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WHAT'S NEW? US Politics | IR | Law & Courts🎵

An R Companion to Political Analysis, Third Edition

An earlier edition of the R Companion

This page records the third edition's place in the Political Analysis series. The fourth edition is the current edition: visit its page for book information and current teaching and learning resources.

The R Companion brought the Political Analysis series' emphasis on learning by doing to R: guided examples, annotated screenshots, and reusable scripts helped students connect research methods with political questions.

Published in 2022, the third edition expanded the book to 15 chapters and bundled its functions and political datasets in the RCPA3 package. Its coverage extended from descriptive statistics and visualization to inference, regression, and independent research.

RCPA4 continues that approach with revised content and updated datasets. It is the edition to explore for new courses and current resources.

An R Companion to Political Analysis, Third Edition cover

Book Information

Authors
Philip H. Pollock III and Barry C. Edwards
Edition
Third edition
Publisher
CQ Press, an imprint of Sage
Publication
July 2022
Pages
416
Paperback ISBN
978-1-0718-6241-4
Ebook ISBN
978-1-0718-6244-5

Earlier-Edition Archive

Third-edition links

These links are retained for reference to earlier work. They relate to RCPA3 and may differ from RCPA4.

Third-Edition Contents

Chapter titles are retained here as a reference to the 2022 edition.

  • 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
  • 13. Analyzing Regression Residuals
  • 14. Logistic Regression
  • 15. Doing Your Own Political Analysis
  • Appendix: Descriptions of Variables in Datasets