# plot: ~ Function: plot for Clds ~ In kmlShape: K-Means for Longitudinal Data using Shape-Respecting Distance

## Description

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

## Usage

 ```1 2``` ```## 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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21``` ```### 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) ```

kmlShape documentation built on May 29, 2017, 10:19 a.m.