Data Management in R: A Guide for Social Scientists

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.