ClassPDEplotMaxLikeli: Create PDE plot for all classes with maximum likelihood

In Mthrun/DataVisualizations: Visualizations of High-Dimensional Data

Create PDE plot for all classes with maximum likelihood

Description

PDEplot the data for allclasses, weight the Plot with 1 (= maximum likelihood)

Usage

ClassPDEplotMaxLikeli(Data, Cls, ColorSequence = DataVisualizations::DefaultColorSequence,

 ClassNames, PlotLegend = TRUE, MinAnzKernels = 0,PlotNorm,

 main = "Pareto Density Estimation (PDE)",

 xlab = "Data", ylab = "ParetoDensity", xlim, ylim, lwd=1, ...)

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
ClassNames	Optional: the names of the classes to be displayed in the legend
PlotLegend	Optional: add a legent to plot (default == 1)
MinAnzKernels	Optional: Minimum number of kernels
PlotNorm	Optional: ==1 => plot Normal distribuion on top , ==2 = plot robust normal distribution,; default: PlotNorm= 0
main	Optional: Title of the plot
xlab	Optional: title of the x axis
ylab	Optional: title of the y axis
xlim	Optional: area of the x-axis to be plotted
lwd	Optional: area of the y-axis to be plotted
ylim	numerical scalar defining the width of the lines
...	further arguments passed to plot

Value

Kernels	Kernels of the distributions
ClassParetoDensities	Pareto densities for classes
ggobject	ggplot2 plot object. This should be used to further modify the plot

Author(s)

Felix Pape

References

Aubert, A. H., Thrun, M. C., Breuer, L., & Ultsch, A. : Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions, Scientific reports, Nature, Vol. 6(31536), pp. doi 10.1038/srep31536, 2016.

Examples

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

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

DataVisualizations::ClassPDEplotMaxLikeli(ITS,Classification)$ggobject

Mthrun/DataVisualizations documentation built on Jan. 16, 2024, 1:01 a.m.