Statistical Analysis: an Introduction using R

This book aims to introduce the principles of statistics and modern statistical analysis for a non-mathematical audience, using the free statistical package R.

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Contents

Cover page / Foreword
Introduction: Statistics is common sense
Chapter 0: A basic introduction to the R software package

Chapter 1: Assumptions and models
Chapter 2: Datasets and types of data
Chapter 3: Statistical models
Chapter 4: Model formulation and EDA
Chapter 5: Probability and likelihood
Chapter 6: The error process

Including hypothesis testing

Chapter 7: Models for discrete data
Chapter 8: Models for continuous data
Chapter 9: Univariate models
: to be continued

Appendix A: R topics in text

These can be used on their own as a basic introduction to R

Appendix B: Further references
Appendix C: Resources for contributors
Appendix D: Freely available datasets used in the book

Authors

Yan

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