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Exploratory multivariate analysis by example using R
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Exploratory multivariate analysis by example using R/ François Husson, Sébastien Lê, Jérôme Pagès.
Author:
Husson, François.
other author:
Pagès, Jérôme.
Published:
Boca Raton :CRC Press, : c2011.,
Description:
1 online resource (xii, 228 p.) :ill. :
Notes:
"A Chapman & Hall book".
Subject:
R (Computer program language) -
Online resource:
https://www.taylorfrancis.com/books/9780429190032
ISBN:
9781439835814 (electronic bk.)
Exploratory multivariate analysis by example using R
Husson, François.
Exploratory multivariate analysis by example using R
[electronic resource] /François Husson, Sébastien Lê, Jérôme Pagès. - Boca Raton :CRC Press,c2011. - 1 online resource (xii, 228 p.) :ill. - Chapman & Hall/CRC computer science and data analysis series. - Series in computer science and data analysis..
"A Chapman & Hall book".
Includes bibliographical references and index.
1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.
"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the author Provided by publisher.
ISBN: 9781439835814 (electronic bk.)Subjects--Topical Terms:
679069
R (Computer program language)
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA278 / .H87 2011
Dewey Class. No.: 519.53502855133
Exploratory multivariate analysis by example using R
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Exploratory multivariate analysis by example using R
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[electronic resource] /
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François Husson, Sébastien Lê, Jérôme Pagès.
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Boca Raton :
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CRC Press,
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c2011.
300
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1 online resource (xii, 228 p.) :
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ill.
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Chapman & Hall/CRC computer science and data analysis series
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"A Chapman & Hall book".
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Includes bibliographical references and index.
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1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.
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"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the author Provided by publisher.
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R (Computer program language)
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Pagès, Jérôme.
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Lê, Sébastien.
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https://www.taylorfrancis.com/books/9780429190032
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