You are here

Resources to help you teach online

See our resources page for information, support and best practices.

Due to the current restrictions in place, our inspection copy policy has changed. Please refer to our updated inspection copy policy for details.

Data Management in R
Share

Data Management in R
A Guide for Social Scientists

  • Martin Elff - Zeppelin University Friedrichshafen, Germany


December 2020 | 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

For instructors

Select a Purchasing Option


Paperback
ISBN: 9781526459978
£29.99

Hardcover
ISBN: 9781526459961
£85.00