other_to_d

This function allows you to convert other effect sizes
to d including f, f squared, number needed to treat,
correlation coefficient, probability of superiority,
proportion overlap (u1, u2, u3, and proportion distribution
overlap). Please note these are approximations.

effect

convert

size

Cohen's

Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) <doi:10.1016/j.biopsych.2005.09.014>.

Erin M. Buchanan

ViSe

Visualizing Sensitivity

other_to_d function

<dl><dt>f</dt>
<dd>Cohen's f</dd>
<dt>f2</dt>
<dd>Cohen's f squared</dd>
<dt>nnt</dt>
<dd>Number needed to treat</dd>
<dt>r</dt>
<dd>Correlation coefficient</dd>
<dt>prob</dt>
<dd>Probability superiority</dd>
<dt>prop_u1</dt>
<dd>Proportion Overlap U1</dd>
<dt>prop_u2</dt>
<dd>Proportion Overlap U2</dd>
<dt>prop_u3</dt>
<dd>Proportion Overlap U3</dd>
<dt>prop_overlap</dt>
<dd>Proportion Overlap of Distributions</dd></dl>

Arguments

Convert other statistics to d — other_to_d

<dl>

<dt>f</dt>
<dd>Cohen's f</dd>


<dt>f2</dt>
<dd>Cohen's f squared</dd>


<dt>nnt</dt>
<dd>Number needed to treat</dd>


<dt>r</dt>
<dd>Correlation coefficient</dd>


<dt>prob</dt>
<dd>Probability superiority</dd>


<dt>prop_u1</dt>
<dd>Proportion Overlap U1</dd>


<dt>prop_u2</dt>
<dd>Proportion Overlap U2</dd>


<dt>prop_u3</dt>
<dd>Proportion Overlap U3</dd>


<dt>prop_overlap</dt>
<dd>Proportion Overlap of Distributions</dd>

</dl>

other_to_d: Convert other statistics to d

Description

Usage

Value

Arguments

Examples