DiscriMiner (version 0.1-22)

easyMCA: Multiple Correspondence Analysis

Description

Performs a basic Multiple Correspondence Analysis (MCA)

Usage

easyMCA(variables)

Arguments

variables

data frame with categorical variables (coded as factors)

Value

• An object of class "qualmca", basically a list with the following elements
• values
  table with eigenvalues
• coefficients
  coefficients of factorial axes
• components
  factor coordinates

References

Lebart L., Piron M., Morineau A. (2006) Statistique Exploratoire Multidimensionnelle. Dunod, Paris.

Saporta G. (2006) Probabilites, analyse des donnees et statistique. Editions Technip, Paris.

See Also

disqual, binarize

Examples

# load insurance wines dataset
  data(insurance)

  # multiple correspondence analysis
  mca1 = easyMCA(insurance[,-1])
  mca1