HKSYU Course Resources

An R companion to political analysis

Philip H. Pollock III, University of Central Florida, Barry C. Edwards, University of Central Florida.
Thousand Oaks, California : Sage CQ Press, [2023]
"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 other software Companions, 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"--

Availability

At the library
Location Call number Status

Bibliographic Information

Format:
book Book
Author:
Pollock, Philip H., III
Subject:
Political statistics > Computer programs > Handbooks, manuals, etc.
Analysis of variance > Computer programs > Handbooks, manuals, etc.
R (Computer program language) > Handbooks, manuals, etc.
Language:
English
ISBN:
9781071862414
Course:
GED217
Exploring Data Analysis and Visualisation with R

 

 


Powered by Blacklight