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
- Cover page / Foreword
- Chapter 0: R Basics
- 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))
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- 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
- Appendix A: R topics in text
(10:58, 7 March 2009 (UTC))
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- 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))
