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Data Management in R
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Data Management in R
A Guide for Social Scientists

  • Martin Elff - Zeppelin University Friedrichshafen, Germany


February 2021 | 272 pages | SAGE Publications Ltd
An invaluable, step-by-step guide to data management in R for social science researchers.

This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images, tables, and diagrams.

 
1. Introduction
 
2. Building Blocks of Data
 
3. Data Frames
 
4. Data Tables and Tidyverse
 
5. Handling Data from Social Science Surveys
 
6. Managing Data from Complex Samples
 
7. Dates, Times, and Time Series
 
8. Spatial/Geographical data
 
9. Text as Data

Sage College Publishing

You can purchase this book and request an instructor sample on our US College site:

Go To College Site

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.