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Biostatistisches Design und Analyse mit R: Ein praktischer Leitfaden von Dr. Murray Logan-

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Biostatistical Design and Analysis Using R: A Practical Guide by Dr Murray Logan
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ISBN-13
9781405190084
Book Title
Biostatistical Design and Analysis Using R
ISBN
9781405190084

Über dieses Produkt

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1405190086
ISBN-13
9781405190084
eBay Product ID (ePID)
102872346

Product Key Features

Number of Pages
576 Pages
Publication Name
Biostatistical Design and Analysis Using R : a Practical Guide
Language
English
Publication Year
2010
Subject
Programming Languages / General, Life Sciences / General, Life Sciences / Biology
Type
Textbook
Subject Area
Computers, Science
Author
Murray Logan
Format
Trade Paperback

Dimensions

Item Height
1.2 in
Item Weight
32.1 Oz
Item Length
9.5 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2009-053162
Dewey Edition
22
Reviews
"If you want to do more than just the basics then Biostatistical Design and Analysis using Ris an excellent guide, helping you climb the steep learning curve." ( British Ecological Society Bulletin , 1 March 2012) "Overall, this is an excellent reference for biologists and biostatisticians; it is also a very good supplemental textbook for a graduate-level biostatistics course." (The Quarterly Review of Biology, 2011)
Illustrated
Yes
Dewey Decimal
570.1/5195
Synopsis
First book specifically aimed at biologists/ecologists that explains how the new freeware statistical package "R" can be applied to their problems. This software package is becoming increasingly popular as it is powerful and free., 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., 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.
LC Classification Number
QH323.5.L645 2010

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