The R book /
By: Crawley, Michael J
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Publisher: Chichester, West Sussex, UK : Wiley, 2013Edition: 2nd edition.Description: xxiv, 1051 p. : ill. (some coloured) ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780470973929; 9780470973929:; 0470973927.Subject(s): R (Computer program language)![](/opac-tmpl/bootstrap/images/filefind.png)
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Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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ATU Sligo Yeats Library Main Lending Collection | 519.5 CRA (Browse shelf(Opens below)) | 1 | Lost Checked out | 01/10/2019 | 0064191 |
Includes bibliographical references and index.
Preface -- Getting started -- Essentials of the R language -- Dara input -- Dataframes -- Graphics -- Tables -- Mathematics -- Classical tests -- Statistical modelling -- Regression -- Analysis of variance -- Ananlysis of covariance -- Generalized linear models -- Count data -- Count data in tables -- Proportin data -- Binary repsonse variables -- Generalized additive models -- Mixed-effects models -- Non-linear regression -- Meta-analysis -- Bayesian statistics -- Tree models -- Time series analysis -- Multivariate statistics -- Spatial statistics -- Survival analysis -- Simulation models -- Changing the look of graphics -- References and further reading -- Index.
The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.