ArtificialLongData-class {kml} | R Documentation |
ArtificialLongData
is a class design to build up
artificial data set in order to explore clusterization's algorithm
properties.
name
nbClusters
clusterNames
nbEachClusters
time
functionClusters
functionNoise
trajMeanTheo
trajMeanReal
id
varName
traj
id
, 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()