Statistics Using R with Biological Examples

Statistics Using R. with Biological Examples Kim Seefeld, MS, *. Ernst Linder, University of New Hampshire, Durham, NH. Department of Mathematics & Statistics *Also affiliated with the Dept. of Nephrology and the Biostatistics Research Center, Tufts-NEMC, Boston,MA. Copyright May 2007, K Seefeld 1. Permission granted to reproduce for nonprofit, educational use. Preface This book is a manifestation of my desire to teach researchers in biology a bit more about Statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those with little or no training in higher level Statistics so that they can do more of their own data analysis, communicate more with statisticians, and appreciate the great potential Statistics has to offer as a tool to answer Biological questions. This is necessary in light of the increasing use of higher level Statistics in biomedical research.

Probability Theory and Modeling (Ch 6-9) These chapters are probably the most “theoretical” in the book. They cover a lot of basic background information on probability theory and modeling. Chapters 6-8 cover probability theory, univariate, and multivariate probability distributions respectively.

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