PlotMixturesAndBoundaries {AdaptGauss}

Shows GMM with Boundaries

Description

Plots Gaussian Mixture Model with Bayes decision boundaries, such that:

Black is the PDE of Data

Red is color of the GMM

Magenta are the Bayes boundaries

Usage

PlotMixturesAndBoundaries(Data, Means, SDs, Weights, 

IsLogDistribution = rep(FALSE, length(Means)), Plotter="native",

SingleColor = "blue", MixtureColor = "red", DataColor = "black",

BoundaryColor = "magenta", xlab, ylab, 
				   
 SingleGausses =TRUE, ...)

Arguments

Data

vector (1:N) of data points

Means

vector[1:L] of Means of Gaussians (of GMM),L == Number of Gaussians

SDs

vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means

Weights

vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means

IsLogDistribution

Optional, ==1 if distribution(i) is a LogNormal, default vector of zeros of length 1:L

Plotter

Optional, plotting package, either native or plotly

SingleColor

Optional, Color for line plot of all the single gaussians, default magenta

MixtureColor

Optional, Color of line plot for the mixture, default red

DataColor

Optional, Color of line plot for the data, default black

BoundaryColor

Optional, Color of bayesian boundaries

xlab

Optional, x label, see plot

ylab

Optional, y label, ee plot

SingleGausses

Optional, SingleGausses=T than components of the mixture in blue will be shown.

...

Optional, see plot for plot properties and for SingleGausses PlotMixtures

Author(s)

Michael Thrun

See Also

BayesDecisionBoundaries,PlotMixtures