ph.plotf.ph4.gset

ph.plotf.ph4.mset

Logical, if true, plots (most notably CDFs) extend across the entire plotting window.

span.win

Logical, if true, add a legend to the plot.

legend

Character vector, colors for each distribution.

colors

Optional integers, number of panels.

nr, nc

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Plot methods for distribution sets. NOTE THAT THESE FUNCTIONS WILL BE REPLACED.

44_other_plot_methods

Probability mass functions (PMFs), probability density functions (PDFs), cumulative distribution functions (CDFs) and quantile functions, mainly via (optionally bounded/truncated) kernel smoothing. In the continuous case, there's support for univariate, multivariate and conditional distributions, including distributions that are both multivariate and conditional. Refer to the book "Kernel Smoothing" by Wand and Jones (1995), whose methods are generalized by the methods here. Also, supports categorical distributions, mixed conditional distributions (with mixed input types) and smooth empirical-like distributions, some of which, can be used for statistical classification. There are extensions for computing distance matrices (between distributions), multivariate probabilities, multivariate random numbers, moment-based statistics and mode estimates.

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44_other_plot_methods: Other Plot Methods

Description

Usage

Arguments

References

See Also

Examples