power.signrank

Use the Noether (1987) formula to compute the power of the signed-rank test, which is based on asymptotic normal approximation.

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.signrank function

<dl><dt>n</dt>
<dd>sample size (scalar)</dd>
<dt>alpha</dt>
<dd>p-value threshold (scalar)</dd>
<dt>p1</dt>
<dd>Pr(X&gt;0), as in Noether (JASA 1987)</dd>
<dt>p2</dt>
<dd>Pr(X+X'&gt;0), as in Noether (JASA 1987)</dd></dl>

Arguments

Compute power of the signed-rank test — power.signrank

<dl>

<dt>n</dt>
<dd>sample size (scalar)</dd>


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


<dt>p1</dt>
<dd>Pr(X&gt;0), as in Noether (JASA 1987)</dd>


<dt>p2</dt>
<dd>Pr(X+X'&gt;0), as in Noether (JASA 1987)</dd>

</dl>

power.signrank: Compute power of the signed-rank test

Description

Usage

Value

Arguments

Details

References

Examples