R: Plot computed univariate conditional predictive cumulative...

plot.NMixPredCondCDFMarg {mixAK}

R Documentation

Plot computed univariate conditional predictive cumulative distribution functions

Description

This is a basic plotting tool to visualize computed posterior predictive estimates of univariate conditional cdf's, see NMixPredCondCDFMarg.

Usage

## S3 method for class 'NMixPredCondCDFMarg'
plot(x, ixcond, imargin, prob, over=FALSE,
    auto.layout=TRUE, type="l", lwd=1, lty, col, qlwd=1, qlty, qcol,
    main, xlab, ylab, ylim,
    annot=TRUE, ...)

Arguments

`x`	an object of class `NMixPredCondCDFMarg`.
`ixcond`	if given then conditional cdf's of all margins given `x[[icond]][ixcond]` are plotted where `icond` is taken from `x`.
`imargin`	if given then conditional cdf's of the `imargin`-th margin given all values of `x[[icond]]` are plotted - either separately or all in one plot.
`prob`	probabilities of pointwise posterior quantiles which should be added to the plot. Computed values of requested posterior quantiles must be present in the object `x` (see argument `prob` of `NMixPredCondCDFMarg`).
`over`	logical. If `TRUE` and `imargin` is given then all conditional cdf's are drawn in one plot.
`auto.layout`	if `TRUE` then the function determines itself how to divide the plotting region to draw the computed cdf's.
`type`	type of the plot.
`lwd`	line width.
`lty`	type of the line. It can be a vector in which case different lines are drawn in different types.
`col`	color used to draw the lines. It can be a vector in which case different lines are drawn in different colors.
`qlwd`	line width for pointwise posterior quantiles.
`qlty`	type of the line for pointwise posterior quantiles.
`qcol`	color used to draw pointwise posterior quantiles.
`main`	main title of the plot. Either character which is replicated or a vector of characters.
`xlab`	label for the x-axis. Either character which is replicated or a vector of characters.
`ylab`	label for the y-axis. Either character which is replicated or a vector of characters.
`ylim`	limits for the y-axis.
`annot`	if `TRUE` and `imargin` is given and `over` is `TRUE` then a legend is added to the plot.
`...`	additional arguments passed to the `plot` function.

Value

invisible(x)

Author(s)