| ArtificialLongData-class {kml} | R Documentation |
ArtificialLongData is a class design to build up
artificial data set in order to explore clusterization's algorithm
properties.
namenbClustersclusterNamesnbEachClusterstimefunctionClustersfunctionNoisetrajMeanTheotrajMeanRealidvarNametrajid, each column refers to a time.percentOfMissing
Objects can be created by calling generateArtificialLongData (or gald in short)
get and set are inherited from ClusterizLongData.
All the methods are inherited from ClusterizLongData.
Christophe Genolini
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris
Contact author : <genolini@u-paris10.fr>
Raphaël Ricaud
Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory
University of Paris 10 / Nanterre
Article submited
Web site: http://christophe.genolini.free.fr/kml
Overview: kml-package
Classes : ClusterizLongData, Clusterization
Methods : kml, generateArtificialLongData, choice
Plot : plot: overview, plot(ClusterizLongData),
plot(Calinski),
plotSubGroups(ClusterizLongData), plotAll(ClusterizLongData)
showClass("ArtificialLongData")
gald()