51_cuv_plotting_functions: Plots of Continuous Univariate Models

In probhat: Multivariate Generalized Kernel Smoothing and Related Statistical Methods

Description

Plots of continuous univariate probability distributions.

Usage

plot_cpd (sf, data=FALSE, ...,
    main, xlab, ylab,
    xlim, ylim,
    add=FALSE, axes=TRUE,
    line.width, line.color, fill.color,
    n=200)

Arguments

sf	A suitable function object. Here, this is a continuous univariate probability distribution. Refer to the references and see also sections.
data	Logical, if true, include a subpanel with data points. Ignored, if sf is a quantile function, or a conditional distribution.
main, xlab, ylab	Optional strings, main/axes titles.
xlim, ylim	Optional length-2 numeric vectors, giving the plot ranges.
add	Logical, if true, add to an existing plot.
axes	Logical vector of length one or two, if true, plot axis ticks with labels.
line.width	Optional numeric, giving the main line width. If missing, determined by global options.
line.color, fill.color	Optional (R color) strings, giving the main line color and main fill color. If missing, determined by global options.
n	Integer, number of (line) points.
...	Ignored.

References

Refer to the vignette for an overview, references and better examples.

See Also

set.ph.options

ph.plotf.cksuv, ph.plotf.eluv

plot_cpd_bv, plot_cpd_tv

Examples

prep.ph.data ()

cfh <- pdfuv.cks (height)

plot (cfh)
plot (cfh, TRUE)

probhat documentation built on May 12, 2021, 5:08 p.m.