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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

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Martin Elff

I am a political scientist with research interests in political sociology, political behaviour, comparative politics, and political methodology. In the first two areas I focus on electoral behaviour, political attitudes and behaviour in Germany, the relation between social structure and politics, and on political knowledge and political sophistication. My methodological research interests focus on the spatial modelling of party manifestos, survey research methodology in general, computational statistics and ecological inference. On these topics I have published a monograph, a variety of book chapters as well as research articles in ... More About Author

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