clusterizLongData (or cld in short) is the constructor
for ClusterizLongData clusterizLongData(traj, id, time, varName = "V", trajSizeMin = 1)
cld(traj, id, time, varName = "V", trajSizeMin = 1)[array(numeric)]: contains longitudinal
data. Each line is the trajectory of an individual. The columns refer to the time during which measures were made.[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 [numeric]: time during which measures were made.[character]:
name of the variable measured.[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 exampClusterizLongData clusterizLongData create a
ClusterizLongData clusters can not be
initialised through this function since this slot is not suppose be be
manipulated by the user (only by kml).http://christophe.genolini.free.fr/kmlkml-package
Classes : ClusterizLongData choice, as.clusterizLongData
Plot : plot: overview, plot(ClusterizLongData),
plotSubGroups(ClusterizLongData), plotAll(ClusterizLongData)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))Run the code above in your browser using DataLab