power.fisher.test

Calculate by simulation the power of Fisher's exact test for comparing two proportions given two margin counts.

htest

A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.

Gordon Smyth

statmod

Statistical Modeling

power.fisher.test function

<dl><dt>p1</dt>
<dd>first proportion to be compared.</dd><dt>p2</dt>
<dd>second proportion to be compared.</dd><dt>n1</dt>
<dd>first sample size.</dd><dt>n2</dt>
<dd>second sample size.</dd><dt>alpha</dt>
<dd>significance level.</dd><dt>nsim</dt>
<dd>number of data sets to simulate.</dd><dt>alternative</dt>
<dd>indicates the alternative hypothesis and must be one of "two.sided", "greater" or "less".</dd></dl>

Arguments

Author

Power of Fisher's Exact Test for Comparing Proportions — power.fisher.test

<dl>

<dt>p1</dt>
<dd>first proportion to be compared.</dd>

<dt>p2</dt>
<dd>second proportion to be compared.</dd>

<dt>n1</dt>
<dd>first sample size.</dd>

<dt>n2</dt>
<dd>second sample size.</dd>

<dt>alpha</dt>
<dd>significance level.</dd>

<dt>nsim</dt>
<dd>number of data sets to simulate.</dd>

<dt>alternative</dt>
<dd>indicates the alternative hypothesis and must be one of "two.sided", "greater" or "less".</dd>

</dl>

power.fisher.test: Power of Fisher's Exact Test for Comparing Proportions

Description

Usage

Value

Arguments

Author

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Examples