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Using R for Data Analysis in Social Sciences – A Research Project-Oriented Approach - Oxford Scholarship Online
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach

Quan Li

Abstract

This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R ... More

Keywords: data management, data visualization, data analysis, reproducible research, replication, one-sample t-test, difference-of-means test, covariance, correlation, OLS regression, regression model diagnostics, logistic regression, Penn World Table, World Value Survey

Bibliographic Information

Print publication date: 2018 Print ISBN-13: 9780190656218
Published to Oxford Scholarship Online: March 2019 DOI:10.1093/oso/9780190656218.001.0001

Authors

Affiliations are at time of print publication.

Quan Li, author
Professor of Political Science, Texas A&M University