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Biostatistical Design and Analysis Using R.

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 f...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Logan, Murray
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester : John Wiley & Sons, 2010.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a 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. 
505 8 |a 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. 
520 |a 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. 
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