| plot,ClusterLongData {kml} | R Documentation |
~ Function: plot for ClusterLongData ~
Description
plot the trajectories of an object ClusterLongData relativly
to a Partition.
Usage
## S4 method for signature 'ClusterLongData,ANY'
plot(x,y=NA,parTraj=parTRAJ(),parMean=parMEAN(),
addLegend=TRUE, adjustLegend=-0.12,toPlot="both",criterion=x["criterionActif"],
nbCriterion=1000, ...)
Arguments
x |
|
y |
|
parTraj |
|
parMean |
|
toPlot |
|
criterion |
|
nbCriterion |
|
addLegend |
|
adjustLegend |
|
... |
Some other parameters can be passed to the method (like "xlab" or "ylab". |
Details
plot the trajectories of an object ClusterLongData relativly
to the 'best' Partition, or to the
Partition define by y.
Graphical option concerning the individual trajectory (col, type, pch
and xlab) can be change using parTraj.
Graphical option concerning the cluster mean trajectory (col, type, pch,
pchPeriod and cex) can be change using parMean. For more
detail on parTraj and parMean, see object of
class ParLongData.
See Also
Overview: kml-package
Classes : ClusterLongData
Plot : plot: overview, plotCriterion
Examples
### Move to tempdir
wd <- getwd()
setwd(tempdir()); getwd()
##################
### Construction of the data
ld <- gald()
### Basic plotting
plot(ld)
##################
### Changing graphical parameters 'par'
kml(ld,3:4,1)
### No letters on the mean trajectories
plot(ld,3,parMean=parMEAN(type="l"))
### Only one letter on the mean trajectories
plot(ld,4,parMean=parMEAN(pchPeriod=Inf))
### Color individual according to its clusters (col="clusters")
plot(ld,3,parTraj=parTRAJ(col="clusters"))
### Mean without individual
plot(ld,4,parTraj=parTRAJ(type="n"))
### No mean trajectories (type="n")
### Color individual according to its clusters (col="clusters")
plot(ld,3,parTraj=parTRAJ(col="clusters"),parMean=parMEAN(type="n"))
### Only few trajectories
plot(ld,4,nbSample=10,parTraj=parTRAJ(col='clusters'),parMean=parMEAN(type="n"))
### Go back to current dir
setwd(wd)