- 272 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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.
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.
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Yes, you can access Data Management in R by Martin Elff,SAGE Publications Ltd in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Contents
- About the Author
- Preface
- 1 Introduction
- 2 Building Blocks of Data
- 3 Rectangles of Variables and Observations: Data Frames and Their Management
- 4 Data Tables and the 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
- Bibliography
- Index