An R Companion to Political Analysis
eBook - ePub

An R Companion to Political Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

An R Companion to Political Analysis

About this book

The Third Edition of An R Companion to Political Analysis by Philip H. Pollock III and Barry C. Edwards teaches your students to conduct political research with R, the open-source programming language and software environment for statistical computing and graphics. This workbook offers the same easy-to-use and effective style as the other software companions to the Essentials of Political Analysis, tailored for R. With this comprehensive workbook, students analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (such as cross-tabulations and mean comparisons), controlled comparisons, correlation and bivariate regression, interaction effects, and logistic regression. The clear explanations and instructions are aided by the use of many annotated and labeled screen shots, as well as QR codes linking to demonstration videos. The many end-of-chapter exercises allow students to apply their new skills.

The Third Edition includes new and revised exercises, along with new and updated datasets from the 2020 American National Election Study, an experiment dataset, and two aggregate datasets, one on 50 U.S. states and one based on countries of the world. A new structure helps break up individual elements of political analysis for deeper explanation while an updated suite of R functions makes using R even easier. Students will gain valuable skills learning to analyze political data in R.

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Yes, you can access An R Companion to Political Analysis by Philip H. Pollock III,Barry C. Edwards in PDF and/or ePUB format, as well as other popular books in Politics & International Relations & Politics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Table of Contents
  7. Contents
  8. Illustration List
  9. Preface
  10. Acknowledgments
  11. About the Authors
  12. A Quick Reference Guide to R Companion Functions
  13. Introduction: Getting Started with R
  14. 1 Using R for Data Analysis
  15. 2 Descriptive Statistics
  16. 3 Creating and Transforming Variables
  17. 4 Making Comparisons
  18. 5 Graphing Relationships and Describing Patterns
  19. 6 Random Assignment and Sampling
  20. 7 Making Controlled Comparisons
  21. 8 Foundations of Statistical Inference
  22. 9 Hypothesis Tests with One or Two Samples
  23. 10 Chi-Square Test and Analysis of Variance
  24. 11 Correlation and Bivariate Regression
  25. 12 Multiple Regression
  26. 13 Analyzing Regression Residuals
  27. 14 Logistic Regression
  28. 15 Doing Your Own Political Analysis
  29. Appendix, Table A-1 Variables in the Debate Experiment Dataset1
  30. Appendix, Table A-2 Variables in the NES Dataset1
  31. Appendix, Table A-3 Variables in the States Dataset by Topic
  32. Appendix, Table A-4 Variables in the World Dataset by Topic