interpret_rope

interpreters

Provide utilities to work with indices of effect size for a wide
variety of models and hypothesis tests (see list of supported models using
the function 'insight::supported_models()'), allowing computation of and
conversion between indices such as Cohen's d, r, odds, etc.
References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.

Mattan S. Ben-Shachar

effectsize

Indices of Effect Size

Dominique Makowski

Daniel Lüdecke

Indrajeet Patil

Brenton M. Wiernik

Rémi Thériault

Ken Kelley

David Stanley

Aaron Caldwell

Jessica Burnett

Johannes Karreth

interpret_rope function

<dl><dt>rope</dt>
<dd>Value or vector of percentages in ROPE.</dd>
<dt>ci</dt>
<dd>The Credible Interval (CI) probability, corresponding to the proportion of HDI, that was used. Can be <code>1</code> in the case of "full ROPE".</dd>
<dt>rules</dt>
<dd>A character string (see details) or a custom set of <code>rules()</code>.</dd></dl>

Arguments

<ul>
<li>Default<ul>
<li>For CI &lt; 1<ul>
<li>Rope = 0 - Significant</li>
<li>0 &lt; Rope &lt; 1 - Undecided</li>
<li>Rope = 1 - Negligible</li>
</ul></li>
<li>For CI = 1<ul>
<li>Rope &lt; 0.01 - Significant</li>
<li>0.01 &lt; Rope &lt; 0.025 - Probably significant</li>
<li>0.025 &lt; Rope &lt; 0.975 - Undecided</li>
<li>0.975 &lt; Rope &lt; 0.99 - Probably negligible</li>
<li>Rope &gt; 0.99 - Negligible</li>
</ul></li>
</ul></li>
</ul>

Rules

Interpret Bayesian Posterior Percentage in ROPE. — interpret_rope

<dl>

<dt>rope</dt>
<dd>Value or vector of percentages in ROPE.</dd>


<dt>ci</dt>
<dd>The Credible Interval (CI) probability, corresponding to the proportion of HDI, that was used. Can be <code>1</code> in the case of "full ROPE".</dd>


<dt>rules</dt>
<dd>A character string (see details) or a custom set of <code>rules()</code>.</dd>

</dl>

<ul>
<li>Default<ul>
<li>For CI &lt; 1<ul>
<li>Rope = 0 - Significant</li>
<li>0 &lt; Rope &lt; 1 - Undecided</li>
<li>Rope = 1 - Negligible</li>
</ul></li>
<li>For CI = 1<ul>
<li>Rope &lt; 0.01 - Significant</li>
<li>0.01 &lt; Rope &lt; 0.025 - Probably significant</li>
<li>0.025 &lt; Rope &lt; 0.975 - Undecided</li>
<li>0.975 &lt; Rope &lt; 0.99 - Probably negligible</li>
<li>Rope &gt; 0.99 - Negligible</li>
</ul></li>
</ul></li>
</ul>

Interpret Bayesian Posterior Percentage in ROPE.

interpret_rope: Interpret Bayesian Posterior Percentage in ROPE.

Description

Usage

Arguments

Rules

References

Examples