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Multiple factor analysis by example using R

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서명/저자사항Multiple factor analysis by example using R/ J?r?me Pag?s.
개인저자Pag?s, J?r?me.
발행사항Boca Raton: CRC Press, ?015.
형태사항1 online resource: illustrations.
총서사항Chapman & Hall/CRC the R series
기타형태 저록Print version: Pag?s, J?r?me. Multiple Factor Analysis by Example Using R. Hoboken : Taylor and Francis, ?014 9781482205473
ISBN9781482205480
1482205483
1482205475
9781482205473
9781322635521
1322635528

서지주기Includes bibliographical references.
내용주기1. Principal component analysis -- 2. Multiple correspondence analysis -- 3. Factorial analysis of mixed data -- 4. Weighting groups of variables -- 5. Comparing clouds of partial individuals -- 6. Factors common to different groups of variables -- 7. Comparing groups variables and Indscal model -- 8. Qualitative and mixed data -- 9. Multiple factor analysis and Procrustes analysis -- 10. Hierarchial multiple factor analysis -- 11. Matrix calculus and Euclidean vector space.
이용제한사항Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk.
요약Multiple 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.
일반주제명R (Computer program language) --Statistical methods.
Factor analysis.
MATHEMATICS --Applied.
MATHEMATICS --Probability & Statistics --General.
Factor analysis.
R (Computer program language)
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