R: Plot computed marginal predictive cumulative distribution...

plot.NMixPredCDFMarg {mixAK}

R Documentation

Plot computed marginal predictive cumulative distribution functions

Description

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

Usage

## S3 method for class 'NMixPredCDFMarg'
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)

Author(s)

Arnošt Komárek arnost.komarek@mff.cuni.cz

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.