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Logan, Murray

Biostatistical Design and Analysis Using R

Logan, Murray - Biostatistical Design and Analysis Using R, ebook

63,80€

Ebook, ePUB with Adobe DRM
ISBN: 9781444362473
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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 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.

AUTHOR BIOG

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.

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2009
Language
en
Edition
1
Page amount
280 pages
Category
Zoology
Format
Ebook
eISBN (ePUB)
9781444362473
Printed ISBN
9781405190084

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