plot.clustEff {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 xlim, ylim, xlab, ylab, col, lwd, lty. See |
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'