clusterizLongData {kml}R Documentation

~ Constructor: clusterizLongData (or cld) ~

Description

clusterizLongData (or cld in short) is the constructor for ClusterizLongData object.

Usage

clusterizLongData(traj, id, time, varName = "V", trajSizeMin = 1)
cld(traj, id, time, varName = "V", trajSizeMin = 1)

Arguments

traj [array(numeric)]: contains longitudinal data. Each line is the trajectory of an individual. The columns refer to the time during which measures were made.
id [character] : single identifier for each individual (i.e. each trajectories). Note that the identifiant are of type character (that allow to deal identifiants like XUK32-612 identifiant that our favorite epidemiologists are so good at providing) . If numeric are provided, they are converted into characters.
time [numeric]: time during which measures were made.
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. For example, if the trajectories have 7 mesurements (time=7) and trajSizeMin is set to 3, the trajectory (5,3,NA,4,NA,NA,NA) will be include in the calculation while (2,NA,NA,NA,4,NA,NA) will be exclude. Please note that trajectories that are totally missing (i.e. 0 present values) are always excluded.

Details

clusterizLongData create a ClusterizLongData object and set its slot to the corresponding value. Note that the field clusters can not be initialised through this function since this slot is not suppose be be manipulated by the user (only by kml).

Value

Object of class ClusterizLongData.

Author(s)

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

Contact author: <genolini@u-paris10.fr>

English translation

Raphaël Ricaud
Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory
University of Paris 10 / Nanterre

References

Article submited
Web site: http://christophe.genolini.free.fr/kml

See Also

Overview: kml-package
Classes : ClusterizLongData
Methods : choice, as.clusterizLongData
Plot : plot: overview, plot(ClusterizLongData), plotSubGroups(ClusterizLongData), plotAll(ClusterizLongData)

Examples

mat <- matrix(c(1,2,3,1,4,6,1,8,10),3)
(ld1 <- cld(traj=mat,id=c("1","2","3"),time=c(1,2,3),varName="V",trajSizeMin=2))
(ld2 <- clusterizLongData(traj=mat,id=c("A-101","A-102","A-108"),time=c(2,4,8),varName="Age",trajSizeMin=2))

[Package kml version 0.9.2 Index]