cors.to.q

Conversion from a correlation Difference to Cohen's q

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

cors.to.q function

<dl><dt>rho1</dt>
<dd>first correlation.</dd>
<dt>rho2</dt>
<dd>second correlation.</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

Conversion from a correlation Difference to Cohen's q — cors.to.q

<dl>

<dt>rho1</dt>
<dd>first correlation.</dd>


<dt>rho2</dt>
<dd>second correlation.</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>

cors.to.q: Conversion from a correlation Difference to Cohen's q

Description

Usage

Value

Arguments

Examples