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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• 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

Yan