De Gruyter, 2023. — 398 p. — ISBN: 978-3-11-070497-6.
Many students learn to analyze data using commercial packages, even though there is open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research. Practice R introduces R to social science students, inspiring them to consider R as an excellent choice. In a non-technical pragmatic way, this book covers all typical steps of applied empirical research. Learn how to prepare, analyze, and visualize data in R. Discover how to collect data, generate reports, or automate error-prone tasks.
The book is accompanied by an R package. This provides further learning materials that include interactive tutorials, challenging you with typical problems of applied research. This way, you can immediately practice the knowledge you have learned. The package also includes the source code of each chapter and templates that help to create reports.
Practice R has social science students in mind, nonetheless a broader audience may use Practice R to become a proficient R user.
The first steps.
First steps in R.
Data exploration.
Data manipulation.
The basics.
Prepare data.
Analyze data.
Visualize research findings.
Communicate research findings.
Beyond the basics.
GitHub.
Automate work.
Collect data.
Next steps.