ecdf.ksCI: Plot Empirical Distribution Function With 95% Confidence...

In sfsmisc: Utilities from 'Seminar fuer Statistik' ETH Zurich

Plot Empirical Distribution Function With 95% Confidence Curves

Description

Plots the empirical (cumulative) distribution function (ECDF) for univariate data, together with upper and lower simultaneous 95% confidence curves, computed via Kolmogorov-Smirnov' D, see KSd.

Usage

ecdf.ksCI(x, main = NULL, sub = NULL, xlab = deparse(substitute(x)),
          ci.col = "red", ...)

Arguments

x	x numerical vector of observations.
main, sub, xlab	arguments passed to title.
ci.col	color for confidence interval lines.
...	optional arguments passed to plot.stepfun.

Value

Nothing. Used for its side effect, to produce a plot.

Note

Presently, will only work if length(x) > 9.

Author(s)

Kjetil Halvorsen

References

Bickel and Doksum, see KSd.

See Also

ecdf and plot.stepfun in standard R.

Examples

ecdf.ksCI( rchisq(50,3) )

sfsmisc documentation built on Sept. 11, 2024, 6:53 p.m.