Biostatistical Design and Analysis Using R (PDF)
A Practical Guide
(Sprache: Englisch)
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...
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...
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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 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.
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.
Autoren-Porträt von Murray Logan
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.
Bibliographische Angaben
- Autor: Murray Logan
- 2010, 1. Auflage, 576 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1444319639
- ISBN-13: 9781444319637
- Erscheinungsdatum: 21.01.2010
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- Größe: 4.62 MB
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Sprache:
Englisch
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