proportion_overlap

This function calculates the proportion overlap from two independent
group d effect size calculations. Cohen's u1, u2, u3 and proportion
overlap are provided.

effect

size

overlap

proportion

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

proportion_overlap function

<dl><dt>model</dt>
<dd>a saved independent t-test model</dd>
<dt>x_col</dt>
<dd>name of the column that contains the factor levels OR
a numeric vector of group 1 scores</dd>
<dt>y_col</dt>
<dd>name of the column that contains the dependent score OR
a numeric vector of group 2 scores</dd>
<dt>df</dt>
<dd>optional dataframe that includes the x_col and y_col</dd>
<dt>d</dt>
<dd>previously calculated d value</dd></dl>

Arguments

Proportion Overlap Calculations for Cohen's d — proportion_overlap

<dl>

<dt>model</dt>
<dd>a saved independent t-test model</dd>


<dt>x_col</dt>
<dd>name of the column that contains the factor levels OR
a numeric vector of group 1 scores</dd>


<dt>y_col</dt>
<dd>name of the column that contains the dependent score OR
a numeric vector of group 2 scores</dd>


<dt>df</dt>
<dd>optional dataframe that includes the x_col and y_col</dd>


<dt>d</dt>
<dd>previously calculated d value</dd>

</dl>

proportion_overlap: Proportion Overlap Calculations for Cohen's d

Description

Usage

Value

Arguments

Examples