plot {kml}R Documentation

~ Functions: plot for KmL ~

Description

Four fonctions plot are define in the package KmL. See detail.

Usage

plot(x, y, ...)

Arguments

x See details
y See details
... See details

Details

Four methods plot are define in the package KmL, depending on the data they plot :

plot(ClusterizLongData) or plotTraj(ClusterizLongData)
plot the trajectories relatively to a specific Clusterization
plot(Calinski) or plotCalinski(Calinski)
plot a matrix of Calinki's criterion.
plotSubGroups(ClusterizLongData)
plot the trajectories clusters y clusters, relatively to a specific Clusterization
plotAll(ClusterizLongData)
merge the three previous graph in one windows.

Author(s)

Christophe M. Genolini
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris

Contact author: <genolini@u-paris10.fr>

English translation

Raphaël Ricaud
Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory
University of Paris 10 / Nanterre

References

Article submited
Web site: http://christophe.genolini.free.fr/kml

See Also

Overview: kml-package
Classes : ClusterizLongData, Clusterization, ArtificialLongData
Plot : plot(ClusterizLongData), plot(Calinski), plotSubGroups(ClusterizLongData), plotAll(ClusterizLongData)

Examples

ld <- gald()
kml(ld,,5)
par(ask=TRUE)

### Default ploting
plot(ld)

### Plot all the trajectories
plotTraj(ld)

### Plot by subgroups
plotSubGroups(ld)

### Calinski and all at once
plotAll(ld,point="symbols",size=1)

par(ask=FALSE)

[Package kml version 0.9.2 Index]