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clustEff (version 0.3.1)

plot.fpcac: Plot Functional Principal Component Analysis Clustering

Description

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

Usage

# S3 method for fpcac
plot(x, which, polygon=TRUE, conf.level, ...)

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

conf.level

the confidence level required.

...

additional graphical parameters, that can include xlim, ylim, xlab, ylab, col, lwd, lty. See par.

Author

Gianluca Sottile gianluca.sottile@unipa.ot

Details

Different plot for the clustering algorithm.

See Also

fpcac, summary.fpcac, opt.fpcac.

Examples

Run this code

  # using simulated data

  # see the documentation for 'fpcac'

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