03589cam a22005177a 4500
6707
BD-DhEWU
20181205105439.0
110405s2011 nyua g b 001 0 eng d
2011926793
9781441996497
1441996494
9781441996503
1441996508
(OCoLC)728101887
LTSCA
LTSCA
CDX
BD-DhEWU
eng
eng
QA278
.E87 2011
519.535
EVI 2011
ST 601
rvk
SK 830
rvk
Everitt, Brian.
19581
An introduction to applied multivariate analysis with R /
Brian Everitt, Torsten Hothorn.
New York :
Springer,
c2011.
xiv, 273 p. :
ill. ;
24 cm.
Use R!
Includes bibliographical references (p. 259-269) and index.
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.
"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.
AS
Tahur Ahmed
Multivariate analysis
Data processing.
19582
R (Computer program language)
19583
Multivariate Analyse.
swd
19584
R (Programm)
swd
19585
Hothorn, Torsten.
19240
Use R!
19520
WorldCat details
http://www.worldcat.org/title/introduction-to-applied-multivariate-analysis-with-r/oclc/728101887&referer=brief_results
Contributor biographical information
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html
Publisher description
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html
Table of contents only
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html
Ebook Fulltext
http://lib.ewubd.edu/ebook/6707
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