1.

Record Nr.

UNINA9910819516303321

Autore

Logan Murray

Titolo

Biostatistical design and analysis using R [[electronic resource] ] : a practical guide / / Murray Logan

Pubbl/distr/stampa

Hoboken, N.J., : Wiley-Blackwell, 2010

ISBN

1-4443-6247-X

1-282-54792-5

9786612547928

1-4443-1962-0

1-4443-1963-9

Edizione

[1st ed.]

Descrizione fisica

1 online resource (576 p.)

Disciplina

570.1/5195

Soggetti

Biometry

R (Computer program language)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Biostatistical Design and Analysis Using R; Contents; Preface; R quick reference card; General key to statistical methods; 1 Introduction to R; 2 Datasets; 3 Introductory statistical principles; 4 Sampling and experimental design with R; 5 Graphical data presentation; 6 Simple hypothesis testing - one and two population tests; 7 Introduction to Linear models; 8 Correlation and simple linear regression; 9 Multiple and curvilinear regression; 10 Single factor classification (ANOVA); 11 Nested ANOVA; 12 Factorial ANOVA

13 Unreplicated factorial designs - randomized block and simple repeated measures14 Partly nested designs: split plot and complex repeated measures; 15 Analysis of covariance (ANCOVA); 16 Simple Frequency Analysis; 17 Generalized linear models (GLM); Bibliography; R index; Statistics index

Sommario/riassunto

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 covere