inflate.sample

Flexible and comprehensive functions for statistical power, minimum required
sample size, and minimum detectable effect calculations across a wide range of
commonly used hypothesis tests in psychological, biomedical, and social sciences.

Metin Bulus

pwrss

Statistical Power, Sample Size, and Detectable Effect
Calculations

Sebastian Jentschke

inflate.sample function

<dl><dt>n</dt>
<dd>sample size.</dd>
<dt>rate</dt>
<dd>attrition rate.</dd>
<dt>ceil.n</dt>
<dd>rounds-up the inflated sample size.</dd>
<dt>verbose</dt>
<dd><code>1</code> by default (returns test, hypotheses, and results),
if <code>2</code> a more detailed output is given (plus key
parameters and definitions), if <code>0</code> no output is printed
on the console.</dd></dl>

Arguments

Inflate Sample Size for Attrition — inflate.sample

<dl>

<dt>n</dt>
<dd>sample size.</dd>


<dt>rate</dt>
<dd>attrition rate.</dd>


<dt>ceil.n</dt>
<dd>rounds-up the inflated sample size.</dd>


<dt>verbose</dt>
<dd><code>1</code> by default (returns test, hypotheses, and results),
if <code>2</code> a more detailed output is given (plus key
parameters and definitions), if <code>0</code> no output is printed
on the console.</dd>

</dl>

inflate.sample: Inflate Sample Size for Attrition

Description

Usage

Value

Arguments

Examples