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Biostatistisches Design und Analyse mit R: Ein praktischer Leitfaden von Dr. Murray Logan-
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eBay-Artikelnr.:388673658035
Artikelmerkmale
- Artikelzustand
- 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
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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