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 1.3.2 Index]