screening_test

A sample (simulated) dataset, used in tests and some examples.

data

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

Ken Kelley

David Stanley

Jessica Burnett

Johannes Karreth

screening_test function

A data frame with 1600 rows and 3 variables:<dl>
<dt>Diagnosis</dt>
<dd>Ground truth</dd><dt>Test1</dt>
<dd>Results given by the 1st test</dd><dt>Test2</dt>
<dd>Results given by the 2nd test</dd>
</dl><div class="sourceCode r"></div><pre><code>data("screening_test")
head(screening_test, n = 5)
#&gt; Diagnosis Test1 Test2
#&gt; 1 Neg "Neg" "Neg"
#&gt; 2 Neg "Neg" "Neg"
#&gt; 3 Neg "Neg" "Neg"
#&gt; 4 Neg "Neg" "Neg"
#&gt; 5 Neg "Neg" "Neg"
</code></pre>

Format

Results from 2 Screening Tests — screening_test

A data frame with 1600 rows and 3 variables:<dl>
<dt>Diagnosis</dt>
<dd>Ground truth</dd>

<dt>Test1</dt>
<dd>Results given by the 1st test</dd>

<dt>Test2</dt>
<dd>Results given by the 2nd test</dd>


</dl>

<div class="sourceCode r"><pre><code>data("screening_test")
head(screening_test, n = 5)
#&gt; Diagnosis Test1 Test2
#&gt; 1 Neg "Neg" "Neg"
#&gt; 2 Neg "Neg" "Neg"
#&gt; 3 Neg "Neg" "Neg"
#&gt; 4 Neg "Neg" "Neg"
#&gt; 5 Neg "Neg" "Neg"
</code></pre></div>

Results from 2 Screening Tests

screening_test: Results from 2 Screening Tests

Description

Arguments

Format

See Also