kml: getCluster – R documentation

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kml

getCluster

~ 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.

Examples

### 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)

kml

K-Means for Longitudinal Data

v2.4.1

GPL (>= 2)

Authors

Christophe Genolini [cre, aut], Bruno Falissard [ctb]

Initial release

2016-02-02