power.fisher

Compute power for Fisher's exact test

Defines a collection of functions to compute average power and sample size for studies that use the false discovery rate as the final measure of statistical significance. A three-rectangle approximation method of a p-value histogram is proposed to derive a formula to compute the statistical power for analyses that involve the FDR. The methodology paper of this package is under review.

Yonghui Ni

FDRsamplesize2

Computing Power and Sample Size for the False Discovery Rate in
Multiple Applications

Stanley Pounds

power.fisher function

<dl><dt>p1</dt>
<dd>probability in one group (scalar)</dd>
<dt>p2</dt>
<dd>probability in other group (scalar)</dd>
<dt>n</dt>
<dd>per-group sample size (scalar)</dd>
<dt>alpha</dt>
<dd>p-value threshold (scalar)</dd>
<dt>alternative</dt>
<dd>one- or two-sided test, must be one of "greater", "less", or "two.sided"</dd></dl>

Arguments

Compute power for Fisher's exact test — power.fisher

<dl>

<dt>p1</dt>
<dd>probability in one group (scalar)</dd>


<dt>p2</dt>
<dd>probability in other group (scalar)</dd>


<dt>n</dt>
<dd>per-group sample size (scalar)</dd>


<dt>alpha</dt>
<dd>p-value threshold (scalar)</dd>


<dt>alternative</dt>
<dd>one- or two-sided test, must be one of "greater", "less", or "two.sided"</dd>

</dl>

power.fisher: Compute power for Fisher's exact test

Description

Usage

Value

Arguments

Examples