EnQuireR (version 0.10)

ENMCA: MCA and cluster analysis

Description

This function allows to perform a cluster analysis following a MCA.

Usage

ENMCA(dataset,ind.sup = NULL, quanti.sup = NULL, quali.sup = NULL, axes = c(1, 2), row.w = NULL,level.ventil = 0,signif=FALSE,proba=0.05,report=FALSE,language="english")

Arguments

dataset

current dataset

ind.sup

a vector indicating the indexes of the supplementary individuals

quanti.sup

a vector indicating the indexes of the supplementary quantitatives variables

quali.sup

a vector indicating the indexes of the supplementary qualitatives variables

axes

a length 2 vector specifying the components to plot

row.w

an optional row weights (by default, uniform row weights)

level.ventil

a number corresponding to the level under which the category is ventilated; by default 0, and no ventilation is done

signif

a logical value. If TRUE, a p-value is associated to the 2 first dimensions

proba

Threshold used for the automatic description of the clusters. By default, proba=0.05

report

a logical value. If TRUE, a pdf report is produced using the Sweave package

language

a value of c("english","french") which determines the language to use for the report

Value

A list containing the following elements:

data

dataset withe the new categorical variable, obtained with the cluster analysis

catdes

result of the catdes of the clusters

MCA

normal results of an MCA. On the MCA factor map, each cluster is displayed in a different colour

Details

If report=TRUE, a directory named "EnQuireR" is created in your working directory (which can be known thanks to the getwd() function). This directory contains the final pdf report and also the teX file used to produce it.

Examples

## Not run: 
# data(tea)
# res.enmca=ENMCA(tea[,1:18])
# ## End(Not run)