Produces a dendrogram, a cluster plot and a boxplot of average distance cluster of an object of class “clustEff”.
# S3 method for clustEff
plot(x, xvar=c("clusters", "dendrogram", "boxplot", "numclust"), which,
polygon=TRUE, dissimilarity=TRUE, par=FALSE, ...)
An object of class “clustEdd”, typically the result of a call to clustEff.
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;
If missing all curves effect are plotted.
If TRUE confidence intervals are represented by shaded areas via polygon. Otherwise, dashed lines are used. If NULL no confidence intervals are represented
If TRUE dissimilarity measure within each cluster is used to do boxplot representation.
If TRUE the screen is automaticcaly splitted.
additional graphical parameters, that can include xlim, ylim, xlab, ylab, col, lwd, lty. See par.
Gianluca Sottile gianluca.sottile@unipa.ot
Different plot for the clustering algorithm.
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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