ArtificialLongData-class

ArtificialLongData

<code>ArtificialLongData</code> is a class design to build up
  artificial data set in order to explore clusterization's algorithm
  properties.

classes

cluster

spatial

datagen

classif

nonparametric

chron

K-Means for Longitudinal data (KmL) is a version of k-means for longitudinal able to deal with missing value and proposing a graphical interphace for cloosing the correct number of clusters.

Christophe Genolini

K-Means for Longitudinal data

ArtificialLongData-class function

Objects can be created by calling <code><a href="/link/generateArtificialLongData?package=kml&version=0.9.2" rd-options="" data-mini-rdoc="kml::generateArtificialLongData">generateArtificialLongData</a></code> (or <code><a href="/link/gald?package=kml&version=0.9.2&to=%3DgenerateArtificialLongData" rd-options="=generateArtificialLongData" data-mini-rdoc="=generateArtificialLongData::gald">gald</a></code> in short)

Construction

<code>get</code> and <code>set</code> are inherited from <code><links4class>ClusterizLongData</links4class></code>.

Get [ and set [&lt;-

All the methods are inherited from <code><links4class>ClusterizLongData</links4class></code>.

Methods

Christophe GenoliniPSIGIAM: Paris Sud Innovation Group in Adolescent Mental HealthINSERM U669 / Maison de Solenn / ParisContact author : <genolini@u-paris10.fr></genolini@u-paris10.fr>

Author(s)

Rapha�l RicaudLaboratoire "Sport & Culture" / "Sports & Culture" Laboratory University of Paris 10 / Nanterre

ArtificialLongData-class: ~ Class: ArtificialLongData ~

Description

Arguments

Construction

Get [ and set [<-

Methods

Author(s)

English translation

References

See Also

Examples

Description

Arguments

Construction

Get [ and set [&lt;-

Methods

Author(s)

English translation

References

See Also

Examples

Get [ and set [<-