Statistics: An Introduction Using R, 2nd Edition

“…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.

Table of Contents

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