A Survivor′s Guide to R
eBook - ePub

A Survivor′s Guide to R

An Introduction for the Uninitiated and the Unnerved

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

A Survivor′s Guide to R

An Introduction for the Uninitiated and the Unnerved

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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Information

Year
2014
Print ISBN
9781483346731
Edition
1
eBook ISBN
9781483346878

Table of contents

  1. Cover Page
  2. Halftitle
  3. Dedication
  4. Title
  5. Copyright
  6. Brief Contents
  7. Detailed Contents
  8. List of Tables
  9. List of Figures
  10. About the Author
  11. Preface
  12. Acknowledgments
  13. 1 Getting Started
  14. 2 A Sample Session
  15. 3 Object Types in R
  16. 4 Getting Your Data Into R
  17. 5 Reviewing and Summarizing Data
  18. 6 Sorting and Selecting Data
  19. 7 Transforming Data
  20. 8 Text Operations
  21. 9 Working With Date and Time Data
  22. 10 Data Merging and Aggregation
  23. 11 Dealing With Missing Data
  24. 12 R Graphics I: The Built-In Plots
  25. 13 R Graphics II: The Boring Stuff
  26. 14 R Graphics III: The Fun Stuff–Text
  27. 15 R Graphics IV: The Fun Stuff–Shapes
  28. 16 From Here to Where?
  29. Appendix A. Installing R and Related Programs
  30. Appendix B. Statistical Commands
  31. Appendix C. R Packages
  32. Appendix D. Some Style Guidelines
  33. References
  34. Data Sources
  35. Main Index
  36. Index of R Commands and Expressions
  37. Advertisement

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