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.
สารบัญ
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. D...
เกี่ยวกับผู้แต่ง
I am a political scientist with research interests in political sociology, political behaviour, comparative politics, and political methodology. In the first two ar...