Book of R

Tilman M. Davies is a lecturer at the University of Otago in New Zealand, where he teaches statistics at all university levels. He has been programming in R for ten years and has taught it in all of his courses. His research has been awarded by the New Zealand Statistical Association. He organizes an annual three-day Introduction to R workshop, which inspired him to write this book as a guide for beginners.

Preface

PART I: THE R LANGUAGE
Chapter 1: Getting Started
Chapter 2: Numerics, Arithmetic, Assignment, and the Vector
Chapter 3: Matrices
Chapter 4: Non-numeric Values
Chapter 5: Lists and Data Frames
Chapter 6: Special Values, Classes, and Coercion
Chapter 7: Basic Plotting
Chapter 8: Reading and Writing Files

PART II: R PROGRAMMING
Chapter 9: Calling Functions
Chapter 10: Conditions and Loops
Chapter 11: Writing Functions
Chapter 12: Exceptions, Timings, and Visibility

PART III: STATISTICS, PROBABILITY, AND R
Chapter 13: Elementary Statistics
Chapter 14: Basic Data Visualization
Chapter 15: Probability
Chapter 16: Common Probability Distributions

PART IV: STATISTICAL TESTING AND MODELING USING R
Chapter 17: Sampling Distributions and Confidence
Chapter 18: Hypothesis Testing
Chapter 19: Analysis of Variance
Chapter 20: Simple Linear Regression
Chapter 21: Multiple Linear Regression
Chapter 22: Advanced Data and Model Visualization

Appendix A: Installing R and Contributed Packages
Appendix B: Working with RStudio
Appendix C: Package Authoring
Bibliography
Index