The Resource An Introduction to Applied Multivariate Analysis with R, by Brian Everitt, Torsten Hothorn, (electronic resource)

An Introduction to Applied Multivariate Analysis with R, by Brian Everitt, Torsten Hothorn, (electronic resource)

Label
An Introduction to Applied Multivariate Analysis with R
Title
An Introduction to Applied Multivariate Analysis with R
Statement of responsibility
by Brian Everitt, Torsten Hothorn
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
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
Member of
http://library.link/vocab/creatorName
Everitt, Brian
Dewey number
519.5/35
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • 79r5Ub7Qmxk
  • tE0oETe-4qM
Language note
English
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Hothorn, Torsten.
Series statement
Use R!,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Statistical Theory and Methods
Label
An Introduction to Applied Multivariate Analysis with R, by Brian Everitt, Torsten Hothorn, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographic references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
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.-
Dimensions
unknown
Edition
1st ed. 2011.
Extent
1 online resource (283 p.)
Form of item
online
Isbn
9781441996503
Media category
computer
Media type code
c
Other control number
10.1007/978-1-4419-9650-3
Specific material designation
remote
System control number
  • (CKB)2670000000082572
  • (EBL)3066676
  • (SSID)ssj0000508439
  • (PQKBManifestationID)11346823
  • (PQKBTitleCode)TC0000508439
  • (PQKBWorkID)10555497
  • (PQKB)10632333
  • (DE-He213)978-1-4419-9650-3
  • (MiAaPQ)EBC3066676
  • (EXLCZ)992670000000082572
Label
An Introduction to Applied Multivariate Analysis with R, by Brian Everitt, Torsten Hothorn, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographic references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
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.-
Dimensions
unknown
Edition
1st ed. 2011.
Extent
1 online resource (283 p.)
Form of item
online
Isbn
9781441996503
Media category
computer
Media type code
c
Other control number
10.1007/978-1-4419-9650-3
Specific material designation
remote
System control number
  • (CKB)2670000000082572
  • (EBL)3066676
  • (SSID)ssj0000508439
  • (PQKBManifestationID)11346823
  • (PQKBTitleCode)TC0000508439
  • (PQKBWorkID)10555497
  • (PQKB)10632333
  • (DE-He213)978-1-4419-9650-3
  • (MiAaPQ)EBC3066676
  • (EXLCZ)992670000000082572

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