An R Companion to Political Analysis guides students in conducting political research using R, an open-source programming language and software environment for statistical computing and graphics. This second edition of the best-selling companion offers a straightforward and effective approach, featuring new and revised exercises and datasets. It covers essential topics such as descriptive statistics, data transformations, bivariate analysis (including cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. Accompanied by annotated screen shots and end-of-chapter exercises, the book ensures students can apply their knowledge effectively. Praise from Courtney Brown of Emory University highlights its value for both students and instructors.