자료유형 | 단행본 |
---|---|
서명/저자사항 | Multiple factor analysis by example using R/ J?r?me Pag?s. |
개인저자 | Pag?s, J?r?me. |
발행사항 | Boca Raton: CRC Press, ?015. |
형태사항 | 1 online resource: illustrations. |
총서사항 | Chapman & Hall/CRC the R series |
기타형태 저록 | Print version: Pag?s, J?r?me. Multiple Factor Analysis by Example Using R. Hoboken : Taylor and Francis, ?014 9781482205473 |
ISBN | 9781482205480 1482205483 1482205475 9781482205473 9781322635521 1322635528 |
서지주기 | Includes bibliographical references. |
내용주기 | 1. 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. |
이용제한사항 | Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk. |
요약 | 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. |
일반주제명 | R (Computer program language) --Statistical methods. Factor analysis. MATHEMATICS --Applied. MATHEMATICS --Probability & Statistics --General. Factor analysis. R (Computer program language) |
언어 | 영어 |
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