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.
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.