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.

Topics covered include

- simple hypothesis testing, graphing,

- exploratory data analysis and graphical summaries

- regression (linear, multi, and non-linear)

- simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot, and repeated measures)

- frequency analysis and generalized linear models

Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modelling techniques.

The book is accompanied by a companion website (www.wiley.com/go/logan/r) 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.

AUTHOR BIOG

Murray Logan is a lecturer and researcher in the School of Biological Sciences, Monash University, Melbourne, Australia. He teaches a range of zoological and ecological courses in addition to biostatistical and R courses to undergraduate and graduate students. He also provides research design and analysis advice to a range of university, government and private organizations.