power.binom.test: Power Calculations for Exact Binomial Test

In jmuOutlier: Permutation Tests for Nonparametric Statistics

Description

Compute the power of the binomial test of a simple null hypothesis about a population median.

Usage

power.binom.test(n, alpha = 0.05, alternative = c("two.sided", "less", "greater"), 
                 null.median, alt.pdist, ...)

Arguments

n	The sample size.
alpha	Probability of Type I error.
alternative	A character string specifying the alternative hypothesis, and must be one of "two.sided" (default), "greater" or "less". Only the initial letter needs to be specified.
null.median	The population median under the null hypothesis.
alt.pdist	Name of the cumulative distribution function under the alternative distribution. Some options include pnorm, pexp, pcauchy, plaplace, pt, pchisq, pf, ptriang, punif, pbinom, pgeom, ppois.
...	Optional arguments to alt.pdist, excluding the first argument of alt.pdist. See the examples below.

Value

Power of the test.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

References

Higgins, J. J. (2004) Introduction to Modern Nonparametric Statistics.

See Also

power.t.test

Examples

# Alternative distribution is Normal( mean=55.7, sd=2.5 ).
power.binom.test( 30, 0.05, "greater", 55, pnorm, 55.7, 2.5 )

# Alternative distribution is Laplace( mean=55.7, sd=2.5 ).
power.binom.test( 30, 0.05, "greater", 55, plaplace, 55.7, 2.5 )

Example output

[1] 0.3321649
[1] 0.570145

jmuOutlier documentation built on Aug. 6, 2019, 1:03 a.m.