发帖
雷达卡
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 pre 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.
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