Statistical Analysis: an Introduction using R

See also the Wikibook R Programming.

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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Chapter 1: Assumptions and models (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

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

Statistical Analysis: an Introduction using R

Contents

Authors