Statistical Analysis: an Introduction using R

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

As of 17:02, 14 November 2008 (UTC), this wikibook is being constantly worked upon. Please feel free to contribute, and thrash out the intended structure and contents on the discussion page --Yan

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Contents

Wikibook Development Stages
Sparse text	Developing text	Maturing text	Developed text	Comprehensive text:

• Cover page / Foreword
• Chapter 0: R Basics

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• Chapter 1: Statistics and science (10:57, 7 March 2009 (UTC))
• Chapter 2: Datasets and types of data (10:57, 7 March 2009 (UTC))
• Chapter 3: Statistical models (10:57, 7 March 2009 (UTC))
• Chapter 4: Model formulation and EDA (10:57, 7 March 2009 (UTC))
• Chapter 5: Probability and likelihood (10:57, 7 March 2009 (UTC))
• Chapter 6: The error process (09:05, 16 May 2007 (UTC))

Including hypothesis testing

• Chapter 7: Models for discrete data (09:36, 16 May 2007 (UTC))
• Chapter 8: Models for continuous data (09:36, 16 May 2007 (UTC))
• Chapter 9: Univariate models (09:36, 16 May 2007 (UTC))
•  : to be continued

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• Appendix A: R topics in text (10:58, 7 March 2009 (UTC))

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

• Appendix B: Further references (09:36, 16 May 2007 (UTC))
• Appendix C: Resources for contributors (10:08, 29 January 2009 (UTC))
• Appendix D: Freely available datasets used in the book (10:08, 29 January 2009 (UTC))

Authors

Yan