Multiple factor analysis by example using R

Multiple factor analysis by example using R

1. Principal component analysis2. 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. Q...

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Bibliographische Detailangaben
1. Verfasser: Pagès, Jérôme (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, Fla. u.a. CRC Press, Taylor & Francis Group 2015
Schriftenreihe:Chapman & Hall/CRC the R series
Chapman & Hall/CRC: The R series
Schlagworte:
Factor analysis > R (Computer program language) > Multivariate analysis > R > Multivariate Analyse
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Beschreibung
Zusammenfassung:1. Principal component analysis2. 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.
Beschreibung:literaturverz. S. 249 - 251
Beschreibung:XIV, 257 S.
graph. Darst.
ISBN:9781482205473
978-1-4822-0547-3