seq_test_ranking

Run this function after generating a sequence with
<code>seq_endpoint_df()</code> or <code>seq_distance_df()</code> and testing it with one of
scrutiny's mapping functions, such as <code>grim_map()</code>. It will rank the test's
consistent and inconsistent results by their positions in the sequence.

Test published summary statistics for consistency
(Brown and Heathers, 2017, <doi:10.1177/1948550616673876>;
Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>;
Heathers and Brown, 2019, <https://osf.io/5vb3u/>).
The package also provides infrastructure for implementing new
error detection techniques.

Lukas Jung

scrutiny

Error Detection in Science

Aurélien Allard

seq_test_ranking function

<dl><dt>x</dt>
<dd>Data frame.</dd>
<dt>explain</dt>
<dd>If <code>TRUE</code> (the default), results come with an explanation.</dd></dl>

Arguments

Rank sequence test results — seq_test_ranking

<dl>

<dt>x</dt>
<dd>Data frame.</dd>


<dt>explain</dt>
<dd>If <code>TRUE</code> (the default), results come with an explanation.</dd>

</dl>

seq_test_ranking: Rank sequence test results

Description

Usage

Value

Arguments

Details

Examples