plot.clustEff: Plot Clustering Effects

In gianluca-sottile/clustEff: Clusters of effects in pseudo multi-type response model

Description

Produces a dendrogram, a cluster plot and a boxplot of average distance cluster class “piqr”.

Usage

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

Arguments

x	An object of class “clustEdd”, typically the result of a call to clustEff.
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.
which	If missing all curves effect are plotted.
add	If TRUE and xvar="clusters", a unique plot of clusters is done.
all	If TRUE and add=FALSE and xvar="clusters", a unique window of clusters is done.
polygon	If TRUE confidence intervals are represented by shaded areas via polygon. Otherwise, dashed lines are used..
...	additional graphical parameters, that can include xlim, ylim, xlab, ylab, col, lwd, lty. See par.

Details

Different plot for the clustering algorithm.

Author(s)

Gianluca Sottile [e-mail]

See Also

clustEff for cluster algorithm; extract.object for extracting information through a quantile regression coefficient modeling in a multivariate case; summary.clustEff for clustering summary.

Examples

  # using simulated data

  # see the documentation for 'clustEff-package'

gianluca-sottile/clustEff documentation built on May 8, 2019, 9:22 a.m.