Description
Data Analysis with RTeach your students to conduct political research with R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. This new, comprehensive workbook covers descriptive statistics, data transformations, bivariate approaches (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is aided by the use of annotated and labeled screen shots as well as a wealth of exercises and datasets so students can apply their new skills.
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This guide details the use of the data analysis software R in political science. It explains the use of R for constructing descriptions of variables and performing substantive analysis of political relationships, covering all major topics in data analysis: descriptive statistics, transforming variables, cross-tabulations and mean comparisons, controlled comparisons, statistical inference, chi-square and measures of association, correlation and linear regression, dummy variables and interaction effects, and logistic regression. The first chapter describes how to install, download, and get started with the program, and the last chapter provides ideas for research projects and details how to import data into R and a framework for a research paper. Chapters are presented as tutorials and guide students through examples for performing analysis. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
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