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Multiple Factor Analysis by Example Using R (Hardcover) Loot Price: R2,724
Discovery Miles 27 240
Multiple Factor Analysis by Example Using R (Hardcover): Jerome Pages

Multiple Factor Analysis by Example Using R (Hardcover)

Jerome Pages

Series: Chapman & Hall/CRC The R Series

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Loot Price R2,724 Discovery Miles 27 240 | Repayment Terms: R255 pm x 12*

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Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Series: Chapman & Hall/CRC The R Series
Release date: November 2014
First published: 2014
Authors: Jerome Pages
Dimensions: 234 x 156 x 19mm (L x W x T)
Format: Hardcover
Pages: 272
ISBN-13: 978-1-4822-0547-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Psychology > Psychological methodology > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 1-4822-0547-5
Barcode: 9781482205473

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