An introduction to applied multivariate analysis with R /
By: Everitt, Brian
.
Contributor(s): Hothorn, Torsten.
Series: Use R!: Publisher: New York : Springer, 2011Description: xiv, 273 pages : illustrations, charts ; 24 cm.Content type: text | text | still image Media type: unmediated | unmediated Carrier type: volume | volumeISBN: 9781441996497; 9781441996497:; 1441996494; 9781441996503; 1441996508.Subject(s): Statistics![](/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 | 519.5350285 EVE (Browse shelf(Opens below)) | 1 | Lost Checked out | 04/05/2017 | 0064198 |
Includes bibliographical references (pages 259-269) and index.
Multivariate data and multivariate analysis -- Looking at multivariate data: visualisation -- Principal components analysis -- Multidimensional scaling -- Exploratory factor analysis -- Cluster analysis -- Confirmatory factor analysis and structural equation models -- The analysis of repeated measures data.
The majority of data sets collected by researchers in all disciplines are multivariate. This book comprehensively covers a variety of multivariate analysis techniques using R. It provides extensive examples of R code used to apply the multivariate techniques.