Book description
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 modeling 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.
