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Biostatistical Design and Analysis Using R
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Description
Description| Publisher | John Wiley & Sons (UK) |
| Author(s) | Dr Murray Logan |
| Subtitle | A Practical Guide |
| Edition | 1 |
| Published | 13th April 2010 |
| Related course codes |
A Practical Guide
R ? the statistical and graphical environment is rapidlyemerging 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.
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