interpret_p

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_p function

<dl><dt>p</dt>
<dd>Value or vector of p-values.</dd>
<dt>rules</dt>
<dd>Can be <code>"default"</code>, <code>"rss"</code> (for Redefine statistical
significance rules) or custom set of <code>rules()</code>.</dd></dl>

Arguments

<ul>
<li>Default<ul>
<li>p &gt;= 0.05 - Not significant</li>
<li>p &lt; 0.05 - Significant</li>
</ul></li>
<li>Benjamin et al. (2018) (<code>"rss"</code>)<ul>
<li>p &gt;= 0.05 - Not significant</li>
<li>0.005 &lt;= p &lt; 0.05 - Suggestive</li>
<li>p &lt; 0.005 - Significant</li>
</ul></li>
</ul>

Rules

Interpret p-Values — interpret_p

<dl>

<dt>p</dt>
<dd>Value or vector of p-values.</dd>


<dt>rules</dt>
<dd>Can be <code>"default"</code>, <code>"rss"</code> (for Redefine statistical
significance rules) or custom set of <code>rules()</code>.</dd>

</dl>

<ul>
<li>Default<ul>
<li>p &gt;= 0.05 - Not significant</li>
<li>p &lt; 0.05 - Significant</li>
</ul></li>
<li>Benjamin et al. (2018) (<code>"rss"</code>)<ul>
<li>p &gt;= 0.05 - Not significant</li>
<li>0.005 &lt;= p &lt; 0.05 - Suggestive</li>
<li>p &lt; 0.005 - Significant</li>
</ul></li>
</ul>

Interpret p-Values

interpret_p: Interpret p-Values

Description

Usage

Arguments

Rules

References

Examples