Biostatistical design and analysis using R a practical guide Murray Logan

By: Logan, Murray
Material type: TextTextLanguage: English Publisher: Chichester Wiley-Blackwell 2010Description: XXVIII, 546 S. Ill., graph. DarstISBN: 1405190086 (pbk. : £39.99); 9781405190084 (pbk. : £39.99); 9781444335248 (hbk)Subject(s): Biometry | R (Computer program language) | Biostatistik | R | R (Computer file) | Biometry Data processingDDC classification: 570.1/5195 | 570.72 LOC classification: QH323.5Other classification: 42.11 | 48.03 | WC 7000 | 23 | for | mat Online resources: Inhaltsverzeichnis | Zentralblatt MATH Inhaltstext
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).
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Literaturverz. S. [531] - 533. - Hier auch später erschienene, unveränderte Nachdrucke

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).

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