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 and a secure convergence algorithm.

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

Details

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Examples