add_effect_sizes

Calculates effect-size measures for Analysis of Variance output objects.
This function is not exported and will soon be deprecated.

internal

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add_effect_sizes function

<dl><dt>x</dt>
<dd>An object of class <code>apa_variance_table</code>.</dd>
<dt>es</dt>
<dd>Character. A vector naming all to-be-computed effect-size measures.
Currently, partial eta-squared (<code>"pes"</code>), generalized eta-squared
(<code>"ges"</code>), and eta-squared (<code>"es"</code>) are supported.</dd>
<dt>observed</dt>
<dd>Character. A vector naming all factors that are observed
(i.e., not manipulated).</dd>
<dt>mse</dt>
<dd>Logical. Should means-squared errors be computed?</dd>
<dt>intercept</dt>
<dd>Logical. Should the sum of squares of the intercept (i.e., the
deviation of the grand mean from 0) be included in the calculation of eta-squared?</dd></dl>

Arguments

Effect Sizes for Analysis of Variance — add_effect_sizes

<dl>

<dt>x</dt>
<dd>An object of class <code>apa_variance_table</code>.</dd>


<dt>es</dt>
<dd>Character. A vector naming all to-be-computed effect-size measures.
Currently, partial eta-squared (<code>"pes"</code>), generalized eta-squared
(<code>"ges"</code>), and eta-squared (<code>"es"</code>) are supported.</dd>


<dt>observed</dt>
<dd>Character. A vector naming all factors that are observed
(i.e., not manipulated).</dd>


<dt>mse</dt>
<dd>Logical. Should means-squared errors be computed?</dd>


<dt>intercept</dt>
<dd>Logical. Should the sum of squares of the intercept (i.e., the
deviation of the grand mean from 0) be included in the calculation of eta-squared?</dd>

</dl>

add_effect_sizes: Effect Sizes for Analysis of Variance

Description

Usage

Arguments