.compute_and_format

Compute effect size and do some pre-return tasks

internal

Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.

Facundo Decunta

minter

Effect Sizes for Meta-Analysis of Interactions from Factorial
Experiments

Shinichi Nakagawa

Daniel Noble

.compute_and_format function

<dl><dt>effsize_func</dt>
<dd>Function used to compute the effect size</dd>
<dt>effsize_args</dt>
<dd>Arguments needed for that function</dd>
<dt>data</dt>
<dd>Data frame to use</dd>
<dt>col_names</dt>
<dd>Vector of length 2 with the name of the columns</dd>
<dt>append</dt>
<dd>Logical. If append or not the effect sizes to the data</dd></dl>

Arguments

Compute And Format — .compute_and_format

<dl>

<dt>effsize_func</dt>
<dd>Function used to compute the effect size</dd>


<dt>effsize_args</dt>
<dd>Arguments needed for that function</dd>


<dt>data</dt>
<dd>Data frame to use</dd>


<dt>col_names</dt>
<dd>Vector of length 2 with the name of the columns</dd>


<dt>append</dt>
<dd>Logical. If append or not the effect sizes to the data</dd>

</dl>

.compute_and_format: Compute And Format

Description

Usage

Arguments