~ Function: clusterLongData3d (or cld3d) ~
clusterLongData3d
(or cld3d
in short) is the constructor
for ClusterLongData3d
object.
clusterLongData3d(traj, idAll, time, timeInData, varNames, maxNA) cld3d(traj, idAll, time, timeInData, varNames, maxNA)
traj |
|
idAll |
|
time |
|
timeInData |
|
varNames |
|
maxNA |
|
clusterLongData3d
construct a object of class
ClusterLongData
. Two cases can be distinguised:
traj
is an array
: the first dimension (line) are
individual. The second dimension (column) are time at which the
measurement are made. The third dimension are the differents
variable-trajectories. For example, traj[,,2]
is the second variable-trajectory.
If idAll
is missing, the individuals are labelled i1
,
i2
, i3
,...
If timeInData
is missing, all the column
are used (1:ncol(traj)
).
traj
is a data.frame
: lines are individual. Time of
measurement and variables should be provide through
timeInData
. timeInData
is a list.
The label of the list are the
variable-trajectories names. Elements of the list are the column
containning the trajectories. For example, if
timeInData=list(V=c(2,3,4),W=c(6,8,12))
, then the first
variable-trajectory is 'V', its mesearment are in column 2,3 and
4. The second variable-trajectory is 'W', its measurment are in column
6,8 and 12.
If idAll
is missing, the first column of the data.frame
is used.
An object of class ClusterLongData3d
.
############### ### Building an array tr1n <- array(c(1,2,NA, 1,4,NA, 6,1,8, 10,NA,2, 3,NA,NA, 4,NA,5, 6,3,4, 3,4,4, 4,NA,NA, 5,5,4), dim=c(3,5,2)) ############### ### clusterLongData ### With maxNA=3 clusterLongData3d(traj=tr1n, idAll=as.character(c(100,102,104)), time=c(1,2,4,8,16), varNames=c("P","A"), maxNA=3 ) ### With maxNA=2 ### Individual 104 is exclude clusterLongData3d(traj=tr1n, idAll=as.character(c(100,102,104)), time=c(1,2,4,8,16), varNames=c("P","A"), maxNA=2 )
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