Statistical Analysis: an Introduction using R

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. If you are just browsing, we recommend setting up your personal Wikibooks style as specified in /Statistics and R#Setting up wikibooks. Contents Cover page / Foreword 100% /Introduction/: Statistics is common sense 00% Chapter 0: A basic introduction to the R software package 100% /Chapter 1/: Assumptions and models 50% 10:57, 7 March 2009 (UTC) /Chapter 2/: Datasets and types of data 50% 10:57, 7 March 2009 (UTC) /Chapter 3/: Statistical models 00% 10:57, 7 March 2009 (UTC) /Chapter 4/: Model formulation and EDA 00% 10:57, 7 March 2009 (UTC) /Chapter 5/: Probability and likelihood 00% 10:57, 7 March 2009 (UTC) /Chapter 6/: The error process 00% 09:05, 16 May 2007 (UTC) Including hypothesis testing /Chapter 7/: Models for discrete data 00% 09:36, 16 May 2007 (UTC) /Chapter 8/: Models for continuous data 00% 09:36, 16 May 2007 (UTC) /Chapter 9/: Univariate models 00% 09:36, 16 May 2007 (UTC) : to be continued Appendix A: R topics in text 25% 10:58, 7 March 2009 (UTC) These can be used on their own as a basic introduction to R Appendix B: Further references 00% 09:36, 16 May 2007 (UTC) Appendix C: Resources for contributors 00% 10:08, 29 January 2009 (UTC) Appendix D: Freely available datasets used in the book 00% 10:08, 29 January 2009 (UTC) Authors Yan S Statistics R programming language 25% __NOTOC__ __NOEDITSECTION__