callSimilarityTree {rchic}R Documentation

callSimilarityTree

Description

Reads the data, prepare the data and call similarityTree.

Usage

callSimilarityTree(fileName, contribution.supp = FALSE,
  typicality.supp = FALSE, verbose = FALSE)

Arguments

fileName

name of the file containing the data

contribution.supp

boolean to compute the contribution of supplementary variables

typicality.supp

boolean to compute the typicality of supplementary variables

verbose

boolean to give many details.

Details

This function allows you to compute the similarity tree. The similarity measure is symetric. At the end of the computation we obtain the similarity tree, as follows. In this tree, couple of variables are gathered according to their similarity measure. Significant levels are highlighted in red. A significant level means that the considered level is more significant than the previous level and than the next one. In the following figure and in all the cases, an expert must choose according to his knowledge what is the threshold in the similarity tree after which the similarity measure is not significant for the data considered. In general the last classes in the similarity tree are not significant. On this figure, we can remark that the strongest class is: strong powerful. In this case, this two variables are very similar. The second strongest class is: large heavy. similarity.png

Author(s)

Raphael Couturier


[Package rchic version 0.27 Index]