546 pages, Figs, tabs
The R 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 availability of R to couple the theory and practice of biostatistics into a single treatment so as to provide a resource 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.
1 Introduction to R
2 Data sets
3 Introductory statistical principles
4 Sampling and experimental design with R
5 Graphical data presentation
6 Simple hypothesis testing - one and two population tests
7 Introduction to Linear models
8 Correlation and simple linear regression
9 Multiple and curvilinear regression
10 Single factor classification (ANOVA)
11 Nested ANOVA
12 Factorial ANOVA
13 Unreplicated factorial designs - randomized block and simple repeated measures
14 Partly nested designs: split plot and complex repeated measures
15 Analysis of covariance (ANCOVA)
16 Simple frequency analysis
17 Generalized linear models (GLM)
There are currently no reviews for this product. Be the first to review this product!
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.