An
introduction to applied multivariate analysis with R
Everitt, Brian.
creator
Hothorn, Torsten.
text
bibliography
nyu
New York
Springer
c2011
2011
monographic
eng
xiv, 273 p. : ill. ; 24 cm.
"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 things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data."--Publisher's description.
TOC 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.
general
Brian Everitt, Torsten Hothorn.
Includes bibliographical references (p. 259-269) and index.
AS
Multivariate analysis
Data processing
R (Computer program language)
Multivariate Analyse
R (Programm)
QA278 .E87 2011
519.535 EVI 2011
ST 601
SK 830
Use R!
9781441996497
1441996494
9781441996503
1441996508
2011926793
http://www.worldcat.org/title/introduction-to-applied-multivariate-analysis-with-r/oclc/728101887&referer=brief_results
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html
http://lib.ewubd.edu/ebook/6707
http://www.worldcat.org/title/introduction-to-applied-multivariate-analysis-with-r/oclc/728101887&referer=brief_results
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html
http://lib.ewubd.edu/ebook/6707
LTSCA
110405
20181205105439.0
6707
eng