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A handbook of statistical analyses using R

Author: Torsten Hothorn; Brian Everitt
Publisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, [2014] ©2014
Edition/Format:   Print book : English : Third editionView all editions and formats
Summary:
This handbook provides an up-to-date guide to data analysis using the R system for statistical computing. It explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.
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Genre/Form: Handbooks and manuals
Handbooks, manuals, etc
Document Type: Book
All Authors / Contributors: Torsten Hothorn; Brian Everitt
ISBN: 9781482204582 1482204584
OCLC Number: 866922850
Notes: "A Chapman & Hall book"--Cover.
Previous editions cataloged under main entry for Brian S. Everitt.
Description: xxix, 421 pages : illustrations ; 24 cm
Contents: An introduction to R --
Data analysis using graphical displays --
Simple inference --
Conditional inference --
Analysis of variance --
Simple and multiple linear regression --
Logistic regression and generalized linear models --
Density estimation --
Recursive partitioning --
Scatterplot smoothers and addictive models --
Survival analysis --
Quantile regression --
Analyzing longitudinal data I --
Analyzing longitudinal data II --
Simultaneous inference and multiple comparisons --
Missing values --
Meta-analysis --
Bayesian inference --
Principal component analysis --
Multidimensional scaling --
Cluster analysis.
Responsibility: Torsten Hothorn (Universität Zürich, Zürich, Switzerland), Brian S. Everitt (Professor Emeritus, King's College, London, UK).

Abstract:

Previous editions cataloged under main entry for Brian S. Everitt.  Read more...

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"I truly appreciate how grounded in practicality this book is-and the way its chapters are structured really underlines this. Furthermore, all the datasets are interesting and vary widely in subject Read more...

 
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