Exploratory Multivariate Analysis by Example Using R

Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitati...

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Bibliographic Details
Main Authors: Husson, Francois (Author), Le, Sebastien (Author), Pages, Jerome (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press 2011
©2011
Subjects:
Multivariate analysis
R (Computer program language)
Online Access:Click Here to View Status and Holdings.
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100 1 # |a Husson, Francois  |e author 
245 1 0 |a Exploratory Multivariate Analysis by Example Using R  |c Francois Husson, Sebastien Le, Jerome Pages 
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264 # 1 |c ©2011 
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504 # # |a Includes bibliographical references and index 
505 0 # |a Principal component analysis (PCA) -- Correspondence analysis (CA) -- Multiple correspondence analysis (MCA) -- Clustering 
520 # # |a Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. 
650 # 0 |a Multivariate analysis 
650 # 0 |a R (Computer program language) 
700 1 # |a Le, Sebastien  |e author 
700 1 # |a Pages, Jerome  |e author 
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