RSDA (version 2.0.8)

sym.mcfa: sym.mcfa

Description

This function executes a Multiple Correspondence Factor Analysis for variables of set type.

Usage

sym.mcfa(sym.data, pos.var)

Arguments

sym.data

A symbolic data table containing at least two set type variables.

pos.var

Column numbers in the symbolic data table that contain the set type variables.

References

Arce J. and Rodriguez, O. (2018). Multiple Correspondence Analysis for Symbolic Multi<U+2013>Valued Variables. On the Symbolic Data Analysis Workshop SDA 2018.

Benzecri, J.P. (1973). L' Analyse des Donn<U+00E9>es. Tomo 2: L'Analyse des Correspondances. Dunod, Paris.

Castillo, W. and Rodriguez O. (1997). Algoritmo e implementacion del analisis factorial de correspondencias. Revista de Matematicas: Teoria y Aplicaciones, 24-31.

Takagi I. and Yadosiha H. (2011). Correspondence Analysis for symbolic contingency tables base on interval algebra. Elsevier Procedia Computer Science, 6, 352-357.

Rodriguez, O. (2007). Correspondence Analysis for Symbolic Multi--Valued Variables. CARME 2007 (Rotterdam, The Netherlands), http://www.carme-n.org/carme2007.

Examples

# NOT RUN {
data("ex_mcfa1")
sym.table <- classic.to.sym(ex_mcfa1, concept = "suspect",
                   variables.types = c(hair = type.set(),
                                       eyes = type.set(),
                                       region = type.set()))

res <- sym.mcfa(sym.table, c(1,2))
mcfa.scatterplot(res[,1], res[,2], sym.data = sym.table, pos.var = c(1,2))

# }