easyMCA: Multiple Correspondence Analysis

In gastonstat/DiscriMiner: Tools of the Trade for Discriminant 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

Author(s)

Gaston Sanchez

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

## Not run: 
  # load insurance wines dataset
  data(insurance)

  # multiple correspondence analysis
  mca1 = easyMCA(insurance[,-1])
  mca1
  
## End(Not run)

gastonstat/DiscriMiner documentation built on Feb. 27, 2021, 4:58 a.m.