An Introduction to Applied Multivariate Analysis with R / Edition 1

An Introduction to Applied Multivariate Analysis with R / Edition 1

by Brian Everitt, Torsten Hothorn
     
 

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.

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Overview

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.

Product Details

ISBN-13:
9781441996497
Publisher:
Springer New York
Publication date:
04/28/2011
Series:
Use R! Series
Edition description:
2011
Pages:
274
Sales rank:
559,474
Product dimensions:
6.10(w) x 9.20(h) x 0.80(d)

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.-

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