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