MFACT, a new funcionality in MFA -FactoMineR
Visualitza/Obre
kostov-becuebertaut-husson.pdf (212,3Kb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/22005
Tipus de documentArticle
Data publicació2013
Condicions d'accésAccés restringit per política de l'editorial
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
We present multiple factor analysis for contingency tables (MFACT) and its implementation
in the FactoMineR package. This method, through an option of the MFA function, allows us to deal
with multiple contingency or frequency tables, in addition to the categorical and quantitative multiple
tables already considered in previous versions of the package. Thanks to this revised function, either
a multiple contingency table or a mixed multiple table integrating quantitative, categorical and
frequency data can be tackled.
The FactoMineR package (Lê et al., 2008; Husson et al., 2011) offers the most commonly used
principal component methods: principal component analysis (PCA), correspondence analysis (CA;
Benzécri, 1973), multiple correspondence analysis (MCA; Lebart et al., 2006) and multiple factor
analysis (MFA; Escofier and Pagès, 2008). Detailed presentations of these methods enriched by
numerous examples can be consulted at the website http://factominer.free.fr/.
An extension of the MFA function that considers contingency or frequency tables as proposed by
Bécue-Bertaut and Pagès (2004, 2008) is detailed in this article.
First, an example is presented in order to motivate the approach. Next, the mortality data used
to illustrate the method are introduced. Then we briefly describe multiple factor analysis (MFA)
and present the principles of its extension to contingency tables. A real example on mortality data
illustrates the handling of the MFA function to analyse these multiple tables and, finally, conclusions
are presented.
CitacióKostov, B.; Becue, M.; Husson, F. MFACT, a new funcionality in MFA -FactoMineR. "R Journal", 2013, vol. 5, p. 29-38.
ISSN2073-4859
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
kostov-becuebertaut-husson.pdf | 212,3Kb | Accés restringit |