average.power.oneway

Compute average power of many one-way ANOVA tests

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

average.power.oneway function

<dl><dt>n</dt>
<dd>per-group sample size (scalar)</dd>
<dt>alpha</dt>
<dd>p-value threshold (scalar)</dd>
<dt>theta</dt>
<dd>sum of ((group mean - overall mean)/stdev)^2 across all groups for each hypothesis test(vector)</dd>
<dt>k</dt>
<dd>the number of groups to be compared</dd></dl>

Arguments

Compute average power of many one-way ANOVA tests — average.power.oneway

<dl>

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


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


<dt>theta</dt>
<dd>sum of ((group mean - overall mean)/stdev)^2 across all groups for each hypothesis test(vector)</dd>


<dt>k</dt>
<dd>the number of groups to be compared</dd>

</dl>

average.power.oneway: Compute average power of many one-way ANOVA tests

Description

Usage

Value

Arguments

See Also

Examples