ClassPDEplot: PDE Plot for all classes

In DataVisualizations: Visualizations of High-Dimensional Data

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

DataVisualizations documentation built on Oct. 10, 2023, 9:06 a.m.