A handbook of statistical analyses using R / Torsten Hothorn, Universität Zürich, Zürich, Switzerland, Brian S. Everitt, Professor Emeritus, King's College, London, UK.

By: Contributor(s): Material type: TextTextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2014]Copyright date: �2014Edition: Third editionDescription: xxix, 421 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781482204582
  • 1482204584
Subject(s): Genre/Form: DDC classification:
  • 519.50285/5133 23
LOC classification:
  • QA276.45.R3 H68 2014
Contents:
An introduction to R -- Data analysis using graphical displays -- Simple inference -- Conditional inference -- Analysis of variance -- Simple and multiple linear regression -- Logistic repression and generalised 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 interference -- Principal component analysis -- Multidimensional scaling -- Cluster analysis.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Kwara State University Library QA276.45R3.H68 2014 (Browse shelf(Opens below)) Available 013718-01
Books Books Kwara State University Library QA276.45R3.H68 2014 (Browse shelf(Opens below)) Available 013718-02

"A Chapman & Hall book"--Cover.

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

Includes bibliographical references (pages 399-414) and index.

An introduction to R -- Data analysis using graphical displays -- Simple inference -- Conditional inference -- Analysis of variance -- Simple and multiple linear regression -- Logistic repression and generalised 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 interference -- Principal component analysis -- Multidimensional scaling -- Cluster analysis.

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