You are here

Resources to help you transition to teaching online

Instructors: To support your transition to online learning, please see our resources and tools page whether you are teaching in the UK, or teaching outside of the UK.

Inspection copy update April 2020: Due to the current restrictions in place in response to COVID-19, our inspection copy policy has changed. Please refer to our updated inspection copy policy for full details. If you have recently placed an inspection copy order with us, we will be in touch to advise of any changes.

Data Management in R

Data Management in R
A Guide for Social Scientists

  • Martin Elff - Zeppelin University Friedrichshafen, Germany

December 2020 | 256 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 datait properly and how to combine data from different sources. As well as:
  • Exploring both qualitative and quantitative data.
  • Providing an accessible approach with pedagogical features including overview boxes, images, tables and diagrams.
  • Helping students to import from statistical packages other than R.

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

Preview this book

For instructors

Select a Purchasing Option

ISBN: 9781526459978
ISBN: 9781526459961