~ Class: ClusterLongData3d ~
ClusterLongData3d is an object containing joint-trajectories and
associated Partition.
When created, an ClusterLongData3d object simply contains initial
data (the joint-trajectories).
After the execution of kml3d, it contains
the original data and the Partition which has
just been find by kml3d.
Note that if kml3d is executed several times, every new Partition
are added to the original ones, no pre-existing Partition is erased.
idAll[vector(character)]: Single identifier
for each of the joint-trajectory (each individual). Usefull for exporting clusters.
idFewNA[vector(character)]: Restriction of
idAll to the trajectories that does not have 'too many' missing
value. See maxNA for details.
time[numeric]: Time at which measures are made.
varNames[vector(character)]: Names of the variable measured.
traj[array(numeric)]: Contains
the joint longitudianl data. Each horizontal plan (first dimension) corresponds to the trajectories of an
individual. Vertical plans (second dimension) refer to the time at which measures
are made. Transversal plans (the third dimension) are for variables.
dimTraj[vector3(numeric)]: size of the array
traj (ie c(length(idFewNA),length(time),length(varNames))).
maxNA[numeric] or [vector(numeric)]:
Individual whose trajectories contain more missing value than
maxNA are exclude from traj and will no be use in
the analysis. Their identifier is preserved in idAll but
not in idFewNA. When maxNA is a single number, it is
used for all the variables.
reverse[matrix(numeric)]: contain the
mean (first line) and the standard deviation (second line) used to
normalize the data. Usefull to restaure the original data after a
scaling operation.
criterionActif[character]: Store the criterion name that will be used by functions that need a single criterion (like plotCriterion or ordered).
initializationMethod[vector(chararcter)]: list all
the initialization method that has allready been used to find some
Partition
(usefull to not run several time a deterministic method).
sorted[logical]: are the Partition
curently hold in the object sorted in decreasing order ?
c1[list(Partition)]: list of
Partition with 1 clusters.
c2[list(Partition)]: list of
Partition with 2 clusters.
c3[list(Partition)]: list of
Partition with 3 clusters.
...c26[list(Partition)]: list of
Partition with 26 clusters.
Class LongData3d, directly.
Class ListPartition, directly.
object['xxx']Get the value of the field
xxx. Inherit from LongData3d and
ListPartition.
object['xxx']<-valueSet the field xxx to value.
xxx. Inherit from ListPartition.
plotDisplay the ClusterLongData3d, one
graph for each variable, according to a Partition.
plot3dDisplay two
variables of the ClusterLongData3d in 3D according to a
Partition.
plot3dPdfExport the AZY code for displaying two
variables of the ClusterLongData3d in a 3D pdf graph.
Special thanks to Boris Hejblum for debugging the '[' and '[<-' operators (the previous version was not compatible with the matrix package, which is used by lme4).
### Building longData
traj <- array(c(1,2,3,1,4, 3,6,1,8,10, 1,2,1,3,2, 4,2,5,6,3, 4,3,4,4,4, 7,6,5,5,4),
dim=c(3,5,2))
myCld <- clusterLongData3d(
traj=traj,
idAll=as.character(c(100,102,103)),
time=c(1,2,4,8,15),
varNames=c("P","A"),
maxNA=3
)
### Show
myCld
### Get
myCld['varNames']
### Set
myCld['criterionActif']<-"Davies.Bouldin"
### Plot
plot(myCld)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.