pl2curves: Plot 2 Noncentral Distribution Curves for Visual Comparison

In DPQ: Density, Probability, Quantile ('DPQ') Computations

Plot 2 Noncentral Distribution Curves for Visual Comparison

Description

Plot two noncentral (chi-squared or t or ..) distribution curves for visual comparison.

Usage

pl2curves(fun1, fun2, df, ncp, log = FALSE,
          from = 0, to = 2 * ncp, p.log = "", n = 2001,
          leg = TRUE, col2 = 2, lwd2 = 2, lty2 = 3, ...)

Arguments

fun1, fun2	function()s, both to be used via curve(), and called with the same 4 arguments, (., df, ncp, log) (the name of the first argument is not specified).
df, ncp, log	parameters to be passed and used in both functions, which hence typically are non-central chi-squared or t density, probability or quantile functions.
from, to	numbers determining the x-range, passed to curve().
p.log	string, passed as curve(...., log = log.p).
n	the number of evaluation points, passed to curve().
leg	logical specifying if a legend() should be drawn.
col2, lwd2, lty2	color, line width and line type for the second curve. (The first curve uses defaults for these graphical properties.)
...	further arguments passed to first curve(..) call.

Value

TODO: inivisible return both curve() results, i.e., (x,y1, y2), possibly as data frame

Author(s)

Martin Maechler

See Also

curve, ..

Examples

p.dnchiBessel <- function(df, ncp, log=FALSE, from=0, to = 2*ncp, p.log="", ...)
{
    pl2curves(dnchisqBessel, dchisq, df=df, ncp=ncp, log=log,
              from=from, to=to, p.log=p.log, ...)
}

  ## TODO the p.dnchiB()  examples  >>>>>> ../tests/chisq-nonc-ex.R <<<

DPQ documentation built on Nov. 3, 2024, 3 a.m.