Multiple factor analysis by example using R
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 theoreti...
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| Format: | eBook |
| Language: | English |
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Boca Raton
CRC Press
2015
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| Series: | Chapman & Hall/CRC the R series
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | 1 online resource illustrations |
| ISBN: | 1322635528 1482205483 9780429171086 9781322635521 9781482205480 0429171080 1498786693 9781498786690 |