plot.clustEff | R Documentation |

Produces a dendrogram, a cluster plot and a boxplot of average distance cluster of an object of class “`clustEff`

”.

## S3 method for class 'clustEff' plot(x, xvar=c("clusters", "dendrogram", "boxplot", "numclust"), which, polygon=TRUE, dissimilarity=TRUE, par=FALSE, ...)

`x` |
An object of class “ |

`xvar` |
Clusters: plot of the k clusters; Dendrogram: plot of the tree after computing the dissimilarity measure and applying a hierarchical clustering algorithm; Boxplot: plot the average distance within clusters; Numclust: plot the curve to minimize to select the best number of clusters; |

`which` |
If missing all curves effect are plotted. |

`polygon` |
If TRUE confidence intervals are represented by shaded areas via polygon. Otherwise, dashed lines are used. If NULL no confidence intervals are represented |

`dissimilarity` |
If TRUE dissimilarity measure within each cluster is used to do boxplot representation. |

`par` |
If TRUE the screen is automaticcaly splitted. |

`...` |
additional graphical parameters, that can include |

Different plot for the clustering algorithm.

Gianluca Sottile gianluca.sottile@unipa.ot

`clustEff`

for cluster algorithm; `extract.object`

for extracting information through a quantile regression coefficient modeling in a multivariate case; `summary.clustEff`

for clustering summary.

# using simulated data # see the documentation for 'clustEff'

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