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. Biostatistical Design and Analysis Using R draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, providing a textbook for biologists learning statistics, R, or both.

An abridged description of biostatistical principles and analysis sequence keys are combined with worked examples of the practical use of R, creating a complete practical guide to designing and analysing 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, split-plot and repeated measures)
• frequency analysis and generalized linear models

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

The book is accompanied by a companion website at www.wiley.com/go/logan/r with an extensive set of resources, including all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.