ClusterizLongData-class {kml} | R Documentation |
ClusterizLongData
is an objet containing trajectories and associated clusterizations.
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.
id
[character]
: single identifier
for each of the trajectories, which is to say each individual.time
[numeric]
: time during which measures were made.traj
[array(numeric)]
: contains longitudinal data. Each line corresponds to the trajectory of an individual. The columns refer to the time during which measures were made.
The third dimension enables you to considerer more variables (joint trajetories, actuelly under development)varName
[character]
:
Name of the variable measured.trajSizeMin
[numeric]
:
Trajectories whose values are partially missing can either be excluded by treatment, or included. trajSizeMin
sets the
minimum number of values that a trajectory must contain not to be excluded. Please note that trajectories
that are totally missing (i.e. 0 present values) must always be excluded.clusterizList
:[list(list(Clusterization))]
clusterzList
contains the list of Clusterization
found by
KmL
. More specifically, clusterizList
contains nine items : c2, c3,
c4 up to c10. Each item contains a list of Clusterization
: c2 contains the Clusterization
having 2 clusters, c3
contains the Clusterization
having 3 clusters and so on.
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).
signature(.Object = "ClusterizLongData")
:
KmL
is the algorithm that enables you to construct the new
Clusterization
based on longitudinal data contained in .Object
.signature(x = "ClusterizLongData")
:
choice
enables you to display all Clusterization
found, to choose the one that seems fittest and to export its graphic representation.
Christophe M. Genolini
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris
Responsable : <genolini@u-paris10.fr>
Raphaël Ricaud
Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory
University of Paris 10 / Nanterre
Article submited at ``Statistics in Medicines''
showClass("ClusterizLongData")