A handbook of statistical analyses using R / Torsten Hothorn, Universität Zürich, Zürich, Switzerland, Brian S. Everitt, Professor Emeritus, King's College, London, UK.
By: Hothorn, Torsten [author.].
Contributor(s): Everitt, Brian [author.].
Material type:
TextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2014]Copyright date: ©2014Edition: Third edition.Description: xxix, 421 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781482204582; 1482204584.Subject(s): Mathematical statistics -- Data processing -- Handbooks, manuals, etc | R (Computer program language) -- Handbooks, manuals, etc | Mathematical statistics -- Data processing | R (Computer program language)Genre/Form: Handbooks, manuals, etc.DDC classification: QA 276.45 .H68 2014 | Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | QA 276.45 .H68 2014 | Available | KYU/2017/5277 | ||
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Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | QA 276.45 .H68 2014 | Available | KYU/2017/5278 | ||
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Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | QA 276.45 .H68 2014 | Available | KYU/2017/5279 | ||
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Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | QA 276.45 .H68 2014 | Available | KYU/2017/5280 |
"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.