An Introduction to Applied Multivariate Analysis with R

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other...

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Bibliographic Details
Main Authors: Everitt, Brian, Hothorn, Torsten (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2011, 2011
Edition:1st ed. 2011
Series:Use R!
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Multivariate data and multivariate analysis
  • Looking at multivariate data: visualization
  • Principal components analysis
  • Multidimensional scaling.- Exploratory factor analysis
  • Cluster analysis
  • Confirmatory factor analysis and structural equation models
  • The analysis of repeated measures data.-