~ Function: plot for ClusterLongData ~
plot
the trajectories of an object ClusterLongData
relativly
to a Partition
.
## 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, ...)
x |
|
y |
|
parTraj |
|
parMean |
|
toPlot |
|
criterion |
|
nbCriterion |
|
addLegend |
|
adjustLegend |
|
... |
Some other parameters can be passed to the method (like "xlab" or "ylab". |
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
.
Overview: kml-package
Classes : ClusterLongData
Plot : plot: overview
, plotCriterion
################## ### 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"))
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