plot.fclust | R Documentation |
Plot method for the 'fclust' objects returned by fclustering
.
## S3 method for class 'fclust' plot(x, plotstyle = c("marginal", "joined"), coverage = 0.5, nstep, ncol, ...)
x |
An 'fclust' object. |
plotstyle |
The resulting central regions of clusters can be plotted by sorting the
appropriate |
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, |
... |
Ignored. |
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.
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
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