ClassPDEplot {DataVisualizations}

PDE Plot for all classes

Description

PDEplot the data for all classes, weights the pdf with priors

Usage

ClassPDEplot(Data, Cls, ColorSequence,

 ColorSymbSequence, PlotLegend = 1,

 SameKernelsAndRadius = 0, xlim, ylim, ...)

Arguments

Data

The Data to be plotted

Cls

Vector of class identifiers. Can be integers or NaN's, need not be consecutive nor positive

ColorSequence

Optional: the sequence of colors used, Default: DefaultColorSequence

ColorSymbSequence

Optional: the plot symbols used (theoretisch nicht notwendig, da erst wichtig, wenn mehr als 562 Cluster)

PlotLegend

Optional: add a legent to plot (default == 1)

SameKernelsAndRadius

Optional: Use the same PDE kernels and radii for all distributions (default == 0)

xlim

Optional: range of the x axis

ylim

Optional: range of the y axis

...

further arguments passed to plot

Value

Kernels of the Pareto density estimation in mode invisible

Author(s)

Michael Thrun

Examples

data(ITS)
#please download package from cran
#model=AdaptGauss::AdaptGauss(ITS)
#Classification=AdaptGauss::ClassifyByDecisionBoundaries(ITS,

#DecisionBoundaries = AdaptGauss::BayesDecisionBoundaries(model$Means,model$SDs,model$Weights))

DataVisualizations::ClassPDEplot(ITS,Classification)$ggobject