mixAK (version 4.2)

plot.NMixPredCDFMarg: Plot computed marginal predictive cumulative distribution functions

Description

This is a basic plotting tool to visualize computed marginal cumulative distribution functions, see NMixPredCDFMarg.

Usage

"plot"(x, K=0, auto.layout=TRUE, type="l", col="darkblue", lty=1, lwd=1, main, xlab, ylab, ...)

Arguments

x

an object of class NMixPredCDFMarg.

K

if equal to 0 then the overall predictive CDF's are plotted taken from the dens part of the object x.

If higher than 0 then the predictive CDF conditioned by the value of K is plotted (taken from the densK part of the object x).

auto.layout

if TRUE then the function determines itself how to divide the plotting region to draw densities for all margins.

type

type of the plot.

col

color used to draw the lines.

lty

type of the line.

lwd

line width.

main

main title of the plot. Either character which is replicated or a vector of characters of the length equal to the number of margins.

xlab

label for the x-axis. Either character which is replicated or a vector of characters of the length equal to the number of margins.

ylab

label for the y-axis. Either character which is replicated or a vector of characters of the length equal to the number of margins.

...

additional arguments passed to the plot function.

Value

invisible(x)

References

Komárek, A. (2009). A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data. Computational Statistics and Data Analysis, 53(12), 3932--3947.

See Also

NMixPredCDFMarg, NMixMCMC.