kml (version 0.9.0)

ClusterizLongData-class: ~ Class: ClusterizLongData ~

Description

ClusterizLongData is an objet containing trajectories and associated clusterizations.

Objects from the Class

KmL is an algorithm that builds an ensemble of Clusterization from longitudinal data. ClusterizLongData is the object contaning the original longitudinal data, then all the Clusterization that KmL finds. When created, a class ClusterizLongData object simply contains initial data (the trajectories). After the execution of KmL, it contains the original data as well as the Clusterization which has just been calculated by the KmL. Please note that if KmL is executed several times, the new Clusterization are added to the original ones, no pre-existing Clusterization is erased.

Construction

Class ClusterizLongData objects can be constructed via function as.cld. This fonction takes into account matrix (see as.cld.matrix), data.frame (voir as.cld.data.frame) and ArtificialLongData (see as.cld.artificialLongData).

Author(s)

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

English translation

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

References

Article submited at ``Statistics in Medicines''

Examples

showClass("ClusterizLongData")