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Multiple Factor Analysis by Example Using R (Hardcover)
Loot Price: R2,397
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Multiple Factor Analysis by Example Using R (Hardcover)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 12 - 17 working days
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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.
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