NominalDistances: Distances between indidividuals calculated from nominal...

In NominalLogisticBiplot: Biplot representations of categorical data

Description

This function calculates the hamming distances (or similarities) among individuals from a nominal data matrix.

Usage

NominalDistances(x, similarities = FALSE)

Arguments

x	This parameter is a matrix with the nominal variables
similarities	Boolean parameter to specify if the user wants a distances matrix or a similarities matrix. By default this parameter is FALSE, so the function calculates the distances.

Value

The function returns a matrix with the distances or similarities

Author(s)

Jose Luis Vicente-Villardon,Julio Cesar Hernandez Sanchez

Maintainer: Jose Luis Vicente-Villardon <[e-mail]>

References

Boriah, S., Chandola, V. & Kumar,V.(2008) Similarity measures for categorical data: A comparative evaluation. In proceedings of the eight SIAM International Conference on Data Mining, pp 243–254

Examples

  data(HairColor)
  NominalDistances(data.matrix(HairColor))
  

NominalLogisticBiplot documentation built on May 2, 2019, 6:03 a.m.