
eBook - ePub
A Survivor′s Guide to R
An Introduction for the Uninitiated and the Unnerved
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz's A Survivor's Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz's easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R's powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access A Survivor′s Guide to R by Kurt Taylor Gaubatz 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 Page
- Halftitle
- Dedication
- Title
- Copyright
- Brief Contents
- Detailed Contents
- List of Tables
- List of Figures
- About the Author
- Preface
- Acknowledgments
- 1 Getting Started
- 2 A Sample Session
- 3 Object Types in R
- 4 Getting Your Data Into R
- 5 Reviewing and Summarizing Data
- 6 Sorting and Selecting Data
- 7 Transforming Data
- 8 Text Operations
- 9 Working With Date and Time Data
- 10 Data Merging and Aggregation
- 11 Dealing With Missing Data
- 12 R Graphics I: The Built-In Plots
- 13 R Graphics II: The Boring Stuff
- 14 R Graphics III: The Fun Stuff–Text
- 15 R Graphics IV: The Fun Stuff–Shapes
- 16 From Here to Where?
- Appendix A. Installing R and Related Programs
- Appendix B. Statistical Commands
- Appendix C. R Packages
- Appendix D. Some Style Guidelines
- References
- Data Sources
- Main Index
- Index of R Commands and Expressions
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