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plot3d

~ Function: plot3d for ClusterLongData3d ~

Description

Plot two variables of a ClusterLongData3d object in 3D, optionnaly relatively to a Partition.

Usage

## S4 method for signature 'ClusterLongData3d,numeric'
plot3d(x,y,varY=1,varZ=2,
   parTraj=parTRAJ(),parMean=parMEAN(),...)

Arguments

x

[ClusterLongData3d]: Object containing the trajectories to plot.
y

[numeric] or [vector2(numeric)]: Define the Partition P that will be use to plot the object. P is a Partition hold in the field c2, c3, ... c26. If y=c(a,b), then P is the Partition number b with a clusters. If y=a, then P is the partition number 1 with a clusters. If y is missing, P is the Partition with the best criterion.
varY

[numeric] or [character]: either the number or the name of the first variable to display. 1 by default.
varZ

[numeric] or [character]: either the number or the name of the second variable to display. 2 by default.
parTraj

[ParLongData]: Set the graphical parameters used to plot the trajectories of the ClusterLongData3d. See ParLongData for details.
parMean

[ParLongData]: Set the graphical parameters used to plot the mean trajectories of each clusters ClusterLongData3d (only when y is non missing). See ParLongData for details.
...

Arguments to be passed to methods, such as graphical parameters.

Details

Plot two variables of a ClusterLongData3d object in 3D. It use the rgl library. The user can make the graphical representation turn using its mouse.

See Also

Examples

##################
### Real example on array

time=c(1,2,3,4,8,12,16,20)
id2=1:120
f <- function(id,t)((id-1)%%3-1) * t
g <- function(id,t)(id%%2+1)*t
h <- function(id,t)(id%%4-0.5)*(20-t)
myCld <- clusterLongData3d(array(cbind(outer(id2,time,f),outer(id2,time,g),
   outer(id2,time,h))+rnorm(120*8*3,0,3),dim=c(120,8,3)))

### Basic plot
plot(myCld,parTraj=parTRAJ(col=rep(1:6,20)))

### plot3d, variable 1 and 2
plot3d(myCld,parTraj=parTRAJ(col=rep(1:6,20)))

### plot3d, variable 1 and 3
plot3d(myCld,parTraj=parTRAJ(col=rep(1:6,20)),varZ=3)
plot3d(myCld,parTraj=parTRAJ(col="red"))
kml3d

K-Means for Joint Longitudinal Data

v2.4.2
GPL (>= 2)
Authors
Christophe Genolini [cre, aut], Bruno Falissard [ctb], Jean-Baptiste Pingault [ctb]
Initial release
2017-08-01

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