plot.fclust: Plot method for the class 'fclust'

View source: R/fclustering.r

plot.fclustR Documentation

Plot method for the class 'fclust'

Description

Plot method for the 'fclust' objects returned by fclustering.

Usage

## S3 method for class 'fclust'
plot(x, plotstyle = c("marginal", "joined"), coverage = 0.5, nstep, ncol, ...)

Arguments

x

An 'fclust' object.

plotstyle

The resulting central regions of clusters can be plotted by sorting the appropriate curve_set only 'marginal' or by sorting the joined list of curve_set objects 'joined'. If 'joined' is used the shown central regions corresponds to the joined ordering used to cluster the functional data. If 'marginal' is used the shown central regions do not correspond to the joined ordering used to cluster the functional data, but better express the shape of cluster with respect to given curve_set.

coverage

The coverage of central regions to be used to show the clusters.

nstep

1 or 2 for how to contruct a combined (joined) global envelope if there are more than one sets of curves. Default to 1, if the numbers of points where the curves are observed (r) are the same in each set, and 2 otherwise.

ncol

The number of columns in the graphical output, when there is just one set of curves that has been ordered. If not given, c(1, k+1) is used, which gives all plots in one row. For more sets of curves, the rows are fixed to correspond to the sets (one row for each set).

...

Ignored.

Details

The clusters are shown respectively for each curve_set. Thus for each curve_set the panel with all the medoids is shown followed by all clusters represented by central region, medoid and all curves belonging to it.

For all sources, the function plots the deepest curves for all clusters and the deepest curve of each cluster together with the desired central region and all the curves of the group.

References

Dai, W., Athanasiadis, S., Mrkvička, T. (2021) A new functional clustering method with combined dissimilarity sources and graphical interpretation. Intech open, London, UK. DOI: 10.5772/intechopen.100124


GET documentation built on Nov. 16, 2022, 5:09 p.m.