R: ~ Function: plotTraj for ClusterLongData ~

plotTraj,ClusterLongData {kml} | R Documentation

## ~ Function: plotTraj for ClusterLongData ~

### Description

`plotTraj` plot the trajectories of an object `ClusterLongData` relativly to a `Partition`.

### Usage

    ## S4 method for signature 'ClusterLongData,ANY'
    plotTraj(x,y,parTraj=parTRAJ(col="clusters"),
       parWin=windowsCut(x['nbVar'],addLegend=TRUE),nbSample=1000,...)

### Arguments

`x` | `[ClusterLongData]`: Object containing the trajectories to plotTraj.
`y` | `[numeric]` or `[couple(numeric)]`: Give the `Partition` to represent. If `y` is missing, the `Partition` with the highest quality criterion (the actif one) is selected. If `y` is a number, the first `Partition` of the sublist `c-y` is selected. If `y` is a couple of numeric, the `y[2]`th `Partition` of the sublist `c-y[1]` is selected (so `y=c(2,3)` select the partition with 2 clusters, the third one).
`parTraj` | `[ParLongData]`: Specification of the plotting parameters of the individual trajectories. Fields that can be changes are 'type','col','pch','xlab' and 'ylab'. In addition to the standard possible values, the option `col="clusters"` (the default) can be use to color the individual trajectories according to their clusters (exemple: `parTraj=parTRAJ(type="o",col="clusters")`). See `ParLongData` for details.
`parWin` | `[parWindows]`: Set the graphical display of the windows. See `ParWindows` for details.
`nbSample` | `[numeric]`: Graphical display of huge sample can be time consumming. This parameters fixe the maximum number of trajectories (randomly chosen) that will be drawn.
`...` | Some other parameters can be passed to the method.

### Details

`plotTraj` the trajectories of an object `ClusterLongData` relativly to the 'best' `Partition`, or to the `Partition` define by `y`.

Graphical option (col, type, pch and xlab) can be change using `parTraj`. For more detail on `parTraj`, see object of class `ParLongData`.

### See Also

Overview: `kml-package`
Classes : `ClusterLongData`
PlotTraj : `plotTraj: overview`, `plotCriterion`

### Examples

    ##################
    ### Construction of the data

    ld <- gald()
    kml(ld,3:4,1)

    ### Basic plotTrajting
    plotTraj(ld,3)

[Package kml version 2.4.1 Index]