TraMineR (version 1.1)

disscenter: Compute distance to center of a group

Description

Compute the distance to a group center according to a matrix of distance. The method use the decomposition of distance used by the Ward criteria.

Usage

disscenter(diss, group=NULL, medoids.index=FALSE, max.iter=20)

Arguments

diss

A matrix of dissimilarity such as the one computed by seqdist, or a "dist" object

group

If null, only one group is considered, otherwise group to compute center

medoids.index

If TRUE, return the index of the first encontered most central sequence. One index per group is returned.

max.iter

Maximum number of iteration to trim the outliers

Value

• A vector with the distance to center of group for each sequence, or a list of medoid index

See Also

dissvar to compute pseudo variance using dissimilarities and for a basic introduction to concepts of pseudo variance analysis dissassoc to test association between dissimilarity and another variable disstree to analyse dissimilarities using induction trees dissreg to analyse dissimilarities in a way close to linear regression

Examples

## Defining a state sequence object
data(mvad)
mvad.seq <- seqdef(mvad[, 17:86])

## Building dissimilarities
mvad.lcs <- seqdist(mvad.seq, method="LCS")

## Compute distance to center according to group gcse5eq
dc <- disscenter(mvad.lcs,group=mvad$gcse5eq)

## Ploting distribution of dissimilarity  to center 
boxplot(dc~mvad$gcse5eq, col="cyan")