PlotMixturesAndBoundaries {AdaptGauss} | R Documentation |
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
PlotMixturesAndBoundaries(Data, Means, SDs, Weights,
IsLogDistribution = rep(FALSE, length(Means)), SingleColor = "blue",
MixtureColor = "red", DataColor = "black",
BoundaryColor = "magenta", xlab, ylab,
SingleGausses =TRUE, ...)
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 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 |
ylab |
Optional, y label, ee |
SingleGausses |
Optional, SingleGausses=T than components of the mixture in blue will be shown. |
... |
Optional, see |
Michael Thrun
BayesDecisionBoundaries
,PlotMixtures