R: ~ Function: plot for Clds ~

plot {kmlShape} | R Documentation

## ~ Function: plot for Clds ~

### Description

`plot` plot both the trajectories the the clusters' means of an object `Clds`.

### Usage

    ## S4 method for signature 'Clds,missing'
    plot(x,y,col="darkgrey",lty=1,legend=TRUE,...)

### Arguments

`x` | [`Clds`]: Object containing the trajectories to plot.
`y` | Useless. For compatibility only.
`col` | [`character`], [`integer`] or [`vector(integer)`]: color use for the trajectories. If the special value "clusters" is used, the trajectories will be colored according to their clusters.
`lty` | [`integer`] or [`vector(integer)`]: line type of the trajectories
`legend` | [`logical`]: shall the pourcent of individual in each cluster be printed as a legend ?
`...` | Arguments to be passed to methods. These arguments need to be compatible with `plotTraj`.

### Details

`plot` plot both the trajectories the the clusters' means of an object `Clds`. If the option `col="clusters"` is used, the trajectories will be colored according to their clusters.

### Examples

    ### Generating artificial data
    nbLignes <- 12
    trajH <- matrix(0,nbLignes,10)

     for(i in 1:(nbLignes/3)){
       trajH[i,] <- pnorm(1:10,runif(1,3,8),1)*rnorm(1,10,1)
    }
    for(i in (nbLignes/3+1):(2*nbLignes/3)){
       trajH[i,] <- dnorm(1:10,runif(1,3,8),1)*rnorm(1,13,1)
    }

    for(i in (2*nbLignes/3+1):nbLignes){
       trajH[i,] <- pnorm(1:10,runif(1,3,8),1)*rnorm(1,5,0.1)
    }

    myClds <- cldsWide(data.frame(1:60,trajH))

    par(mfrow=c(1,2))
    plotTraj(myClds)
    kmlShape(myClds,toPlot="none")
    plotTraj(myClds)

[Package kmlShape version 0.9.5 Index]