R: Plot Functional Principal Component Analysis Clustering

plot.fpcac {clustEff}

R Documentation

Plot Functional Principal Component Analysis Clustering

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

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

`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`.

Different plot for the clustering algorithm.


  # using simulated data

  # see the documentation for 'fpcac'

[Package clustEff version 0.3.1 Index]