plot.fpcac {clustEff}R Documentation

Plot Functional Principal Component Analysis Clustering

Description

Produces a cluster plot of an object of class “fpcac”.

Usage

## S3 method for class 'fpcac'
plot(x, which, polygon=TRUE, ...)

Arguments

x

An object of class “clustEdd”, typically the result of a call to fpcac.

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

...

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 gianluca.sottile@unipa.ot

See Also

fpcac, summary.fpcac, opt.fpcac.

Examples


  # using simulated data

  # see the documentation for 'fpcac'


[Package clustEff version 0.2.0 Index]