QQplotGMM {AdaptGauss}

Quantile Quantile Plot of Data

Description

Quantile Quantile plot of data against gaussian distribution mixture model with optional best-fit-line

Usage

QQplotGMM(Data,Means,SDs,Weights,IsLogDistribution,Method,Line,
PlotSymbol,col,xug,xog,LineWidth,PointWidth,PositiveData,Type,NoQuantiles,
ylabel,main,lwd,pch,xlabel,...)

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 Zeros of Length L

Method

Optional, ==1 default. ==2 for robust calculation

Line

Optional, Default: TRUE=Regression Line is drawn

col

Character: color of regression line (only for Method = 2)

xug

Optional, lower limit of the interval [xug, xog], in which a line will be interpolated

xog

Optional, upper limit of the interval [xug, xog], in which a line will be interpolated

PlotSymbol

Optional, plot symbol. Default is 20.

LineWidth

Optional, width of regression line, if Line==TRUE

PointWidth

Optional, width of points

PositiveData

Optional, Boolean: If true only positive values of GMM sampling are used. Default FALSE

Type

Optional,Integer: number of method used for computing the quantiles, see quantile

NoQuantiles

Optional, Integer: Number of quantiles to compute (only for Method = 2)

ylabel

Optional, see plot

main

Optional, see plot

lwd

Optional, Integer: graphic parameter - line width option (only for Method = 2)

pch

Integer: graphic parameter for points (only for Method = 2)

xlabel

Optional, see plot

...

Note: xlab cannot be changed, other parameters see qqplot

Details

Only verified for a Gaussian Mixture Model, usage of IsLogDistribution for LogNormal Modes is experimental!

Value

List with

x

The x coordinates of the points that were plotted

y

The original data vector, i.e., the corresponding y coordinates

Author(s)

Michael Thrun

References

Michael, J. R. (1983). The stabilized probability plot. Biometrika, 70(1), 11-17.

See Also

qqplot

Examples

data=c(rnorm(1000),rnorm(2000)+2,rnorm(1000)*2-1)
QQplotGMM(data,c(-1,0,2),c(2,1,1),c(0.25,0.25,0.5))