Data Management in R: A Guide for Social Scientists [Hardcover]

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.An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students how to recode and document data, as well as how to combine data from different sources, or 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