check_audit_special

(Note: Ignore this function if your <code>audit()</code> method calls
<code>audit_cols_minimal()</code>.)
Call <code>check_audit_special()</code> within an <code>audit()</code> method for a consistency
test mapper function, such as <code>audit.scr_grim_map()</code>. It checks if the
input data frame was the product of a function produced by
<code>function_map_seq()</code> or <code>function_map_total_n()</code>.
If so, the function issues a gentle alert to the user that points to
<code>audit_seq()</code> or <code>audit_total_n()</code>, respectively.

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

Nicolas Roman Posner

check_audit_special function

<dl><dt>data</dt>
<dd>The <code>audit()</code> method's input data frame.</dd>
<dt>name_test</dt>
<dd>String (length 1). Short, plain-text name of the consistency
test, such as <code>"GRIM"</code>.</dd></dl>

Arguments

Alert user if more specific audit_*() summaries are available — check_audit_special

<dl>

<dt>data</dt>
<dd>The <code>audit()</code> method's input data frame.</dd>


<dt>name_test</dt>
<dd>String (length 1). Short, plain-text name of the consistency
test, such as <code>"GRIM"</code>.</dd>

</dl>

check_audit_special: Alert user if more specific `audit_*()` summaries are available

Description

Usage

Value

Arguments

See Also