getCluster: ~ Function: getClusters ~

In kml: K-Means for Longitudinal Data

~ Function: getClusters ~

Description

This function extract a cluster affectation from an ClusterLongData object.

Usage

getClusters(xCld, nbCluster, clusterRank = 1, asInteger = FALSE)

Arguments

xCld	[ClusterLongData]: object from who a cluster should be extracted.
nbCluster	[integer]: number of cluster of the desired cluster.
clusterRank	[integer]: rank of the partition in the clusters list.
asInteger	[logical]: should the cluster be given as a vector of integer ? If FALSE, a vector of LETTERS is return.

Details

This function extract a clusters from an object ClusterLongData. It is almost the same as xCld[paste("c",nbCluster,sep="")][[clusterRank]] except that the individual with too many missing value (and thus excludes from the analysis) will be noted by some NA values.

Value

A vector of numeric or a LETTER, according to the value of asInteger.

See Also

ClusterLongData

Examples

### Move to tempdir
wd <- getwd()
setwd(tempdir()); getwd()

### Creation of an object ClusterLongData
myCld <- gald(20)

### Computation of some partition
kml(myCld,2:4,3)

### Extraction form the list of partition with 3 clusters
###   of the second clustering
getClusters(myCld,3,2)

### Go back to current dir
setwd(wd)

kml documentation built on Oct. 30, 2024, 9:09 a.m.