R: PDE Plot for all classes

ClassPDEplot {DataVisualizations} | R Documentation

## 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

[Package DataVisualizations version 1.2.3 Index]