# 50_duv_plotting_functions: Plots of Discrete Univariate Models In probhat: Multivariate Generalized Kernel Smoothing and Related Statistical Methods

## Description

Plots of discrete univariate probability distributions.

## Usage

 ```1 2 3 4 5 6``` ```plot_dpd (sf, data=FALSE, ..., main, xlab, ylab, xlim, ylim, add=FALSE, axes=TRUE, combine = is.dks (sf), freq=FALSE, n, space=0, line.width, line.color, fill.color) ```

## Arguments

 `sf` A suitable function object. Here, this is a discrete univariate probability distribution. Refer to the references and see also sections. `data` Logical, if true, include a subpanel with the data bars. 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. `combine` Logical, if true, combine the bars. `freq` Logical, if true, plot frequencies. Currently, ignored in quantile functions. `n` An integer, representing the sample size, and is ignored except for PMFs/CDFs with freq set to TRUE. (If missing, it defaults to the number of observations used, or the sum of their frequencies). `space` Numeric, the space (in mm) between the bars. Ignored, if combine is true. `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. `...` Ignored.

## References

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

 ```1 2 3 4 5 6``` ```prep.ph.data () dfh <- pmfuv.dks (traffic.bins, traffic.freq) plot (dfh) plot (dfh, TRUE) ```