Biostatistical Design and Analysis Using R

R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. <p><b>Topics covered include:</b></p> <ul> <li>simple hypothesis testing, graphing</li> <li>exploratory data analysis and graphical summaries</li> <li>regression (linear, multi and non-linear)</li> <li>simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)</li> <li>frequency analysis and generalized linear models.</li> </ul> <p>Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques.</p> <p>The book is accompanied by a companion website <b>www.wiley.com/go/logan/r</b> with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.</p>