Data Management in R: A Guide for Social Scientists

Author:   Martin Elff
Publisher:   SAGE Publications Ltd
ISBN:  

9781526459978


Pages:   272
Publication Date:   23 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Data Management in R: A Guide for Social Scientists


Overview

An invaluable, step-by-step guide to data management in R for social science researchers. This book will show you 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.

Full Product Details

Author:   Martin Elff
Publisher:   SAGE Publications Ltd
Imprint:   SAGE Publications Ltd
Weight:   0.470kg
ISBN:  

9781526459978


ISBN 10:   1526459973
Pages:   272
Publication Date:   23 December 2020
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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Author Information

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 Acta Politica, Electoral Studies, the European Journal of Political Research, German Politics, Perspectives on Politics, and Political Analysis.

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NOV RG 20252

 

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