ATU Sligo /ATU St Angela's

go

Amazon cover image
Image from Amazon.com

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 | Multivariate analysis -- Data processing | R (Computer program language)DDC classification: 519.5350285
Contents:
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.
Summary: 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.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 519.5350285 EVE (Browse shelf(Opens below)) 1 Lost Checked out 04/05/2017 0064198
Total holds: 0

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.

Share