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Last data update: 2014.03.03

R: Shows GMM

PlotMixtures

R Documentation

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)

Author(s)

Michael Thrun

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)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(AdaptGauss)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AdaptGauss/PlotMixtures.Rd_%03d_medium.png", width=480, height=480)
> ### Name: PlotMixtures
> ### Title: Shows GMM
> ### Aliases: PlotMixtures
> ### Keywords: GMM gaussian mixture model
> 
> ### ** 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)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>