power.oneway

Compute power of one-way ANOVA; Uses classical power formula for ANOVA; Assumes equal variance and sample size

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.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, default k=2</dd></dl>

Arguments

Compute power of one-way ANOVA — 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, default k=2</dd>

</dl>

power.oneway: Compute power of one-way ANOVA

Description

Usage

Value

Arguments

Details

Examples