
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)
A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R
This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
Includes numerous worked examples and exercises within each chapter.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- Chapter 1: Fundamentals
- Chapter 2: Dataframes
- Chapter 3: Central Tendency
- Chapter 4: Variance
- Chapter 5: Single Samples
- Chapter 6: Two Samples
- Chapter 7: Regression
- Chapter 8: Analysis of Variance
- Chapter 9: Analysis of Covariance
- Chapter 10: Multiple Regression
- Chapter 11: Contrasts
- Chapter 12: Other Response Variables
- Chapter 13: Count Data
- Chapter 14: Proportion Data
- Chapter 15: Binary Response Variable
- Chapter 16: Death and Failure Data
- Appendix: Essentials of the R Language
- Index
- End User License Agreement