AdaptGauss (version 1.2.0)

PlotMixtures: Shows GMM

Description

Plots Gaussian Mixture Model without Bayes decision boundaries, such that: Black is the PDE of Data Red is color of the GMM Blue is the color of components of the mixture

Usage

PlotMixtures(Data, Means, SDs, Weights,IsLogDistribution, SingleColor, 
MixtureColor,DataColor, SingleGausses,axes, xlab, ylab,xlim, ylim, ...)

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

SingleColor

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

MixtureColor

Optional,Color of line lot for the mixture default red

DataColor

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

axes

Optional,Default:TRUE with axis, see argument axis of plot

xlim

Optional, see plot

ylim

Optional, see plot

xlab

Optional, see plot

ylab

Optional, see plot

SingleGausses

Optional, If TRUE, single gaussians are shown, default FALSE

...

other plot arguments like xlim = c(1,10)

See Also

PlotMixturesAndBoundaries

Examples

data=c(rnorm(1000),rnorm(2000)+2,rnorm(1000)*2-1)
PlotMixtures(data,c(-1,0,2),c(2,1,1),c(0.25,0.25,0.5),SingleColor='blue',SingleGausses=TRUE)