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)