An introduction to applied multivariate analysis with R / (Record no. 4796)

MARC details
000 -LEADER
fixed length control field 02774cam a22002897a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260112063323.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441996497
039 ## - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 202109301258
Level of effort used to assign nonsubject heading access points staff
Level of effort used to assign subject headings 201508172036
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Level of effort used to assign subject headings 201506090936
Level of effort used to assign classification staff
Level of effort used to assign subject headings 201506090934
Level of effort used to assign classification staff
-- 201506090932
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082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5 35
Item number EVE [Shelf 77 ]
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Everitt, Brian.
245 #3 - TITLE STATEMENT
Title An introduction to applied multivariate analysis with R /
Statement of responsibility, etc. Brian Everitt, Torsten Hothorn.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. c2011.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 273 p. :
Other physical details ill. ;
Dimensions 24 cm.
490 ## - SERIES STATEMENT
Series statement Use R!
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 259-269) and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. "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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multivariate analysis
General subdivision Data processing.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Computer program language)
650 07 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multivariate Analyse.
Source of heading or term swd
650 07 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Programm)
Source of heading or term swd
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hothorn, Torsten.
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Use R!
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Copy number Koha item type
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