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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


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

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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