Description |
xxviii, 546 pages : illustrations ; 25 cm |
Contents |
Introduction to r -- Data sets -- Introductory statistical principles -- Sampling and experimental design with R -- Graphical data presentation -- Simple hypothesis testing, one and two population tests -- Introduction to linear models -- Correlation and simple linear regression -- Multiple and curvilinear regression -- Single factor classification (ANOVA) -- Nested ANOVA -- Factorial ANOVA -- Unreplicated factorial designs, randomized -- Block and simple repeated measures -- Partly nested designs : split plot and complex -- Repeated measures -- Partly nested designs : split plot and complex -- Repeated measures -- Simple frequency analysis -- Generalized linear models (GLM) |
Summary |
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 inc |
Analysis |
DATA ANALYSIS |
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R (COMPUTER PROGRAM LANGUAGE) |
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STATISTICAL ANALYSIS |
Notes |
Formerly CIP. Uk |
Bibliography |
Includes bibliographical references and indexes |
Notes |
Online version of the print title |
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Mode of access: World Wide Web |
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System requirements: Internet connectivity, World Wide Web browser, and Adobe Acrobat reader |
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Description based on print version record |
SUBJECT |
R (Computer file)
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Subject |
Biometry.
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R (Computer program language)
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Author |
ebrary, Inc.
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LC no. |
2009053162 |
ISBN |
1405190086 (paperback: alk. paper) |
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1444335243 (hardcover : alk. paper) |
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9781405190084 (paperback: alk. paper) |
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9781444335248 (hardcover : alk. paper) |
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