sym.mcfa: sym.mcfa

In PROMiDAT/RSDA: R to Symbolic Data Analysis

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.

Author(s)

Jorge Arce

References

Arce J. and Rodriguez, O. (2018). Multiple Correspondence Analysis for Symbolic Multi–Valued Variables. On the Symbolic Data Analysis Workshop SDA 2018.

Benzecri, J.P. (1973). L' Analyse des Données. 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

data("ex_mcfa1")
sym.table <- classic.to.sym(ex_mcfa1,
  concept = suspect,
  hair = sym.set(hair),
  eyes = sym.set(eyes),
  region = sym.set(region)
)
sym.table

PROMiDAT/RSDA documentation built on Sept. 14, 2023, 9:16 p.m.