Biostatistical Design and Analysis Using R.

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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Bibliographic Details
Main Author: Logan, Murray
Format: eBook
Language:English
Published: Chichester : John Wiley & Sons, 2010.
Subjects:
Biometry.
R (Computer program language)
biometrics.
Biometry
Online Access:Click for online access
Table of Contents:
  • 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.

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