util_looks_like_missing

Values not being finite (see <code><a href="/link/is.finite?package=dataquieR&version=1.0.13" data-mini-rdoc="dataquieR::is.finite">is.finite</a></code>) are also reported as missing
codes.

Data quality assessments guided by a
'data quality framework introduced by Schmidt and colleagues, 2021'
<doi:10.1186/s12874-021-01252-7> target the
data quality dimensions integrity, completeness, consistency, and
accuracy. The scope of applicable functions rests on the
availability of extensive metadata which can be provided in
spreadsheet tables. Either standardized (e.g. as 'html5' reports) or
individually tailored reports can be generated. For an introduction
into the specification of corresponding metadata, please refer to the
'package website'
<https://dataquality.ship-med.uni-greifswald.de/Annotation_of_Metadata.html>.

Stephan Struckmann

dataquieR

Data Quality in Epidemiological Research

University Medicine Greifswald 

Elisa Kasbohm

Joany Marino

Adrian Richter

Carsten Oliver Schmidt

German Research Foundation (DFG SCHM 2744/3-1) 

European Union’s Horizon 2020 programme (euCanSHare, grant agreement No. 825903) 

util_looks_like_missing function

<dl><dt>x</dt>
<dd><code><a href="/link/numeric?package=dataquieR&version=1.0.13" data-mini-rdoc="dataquieR::numeric">numeric</a></code> vector to test</dd>
<dt>n_rules</dt>
<dd><code><a href="/link/numeric?package=dataquieR&version=1.0.13" data-mini-rdoc="dataquieR::numeric">numeric</a></code> Only outlying values can be missing
codes; at least <code>n_rules</code> rules in
<code>acc_univariate_outlier</code> match</dd></dl>

Arguments

Values not being finite (see <code><a href='https://rdrr.io/r/base/is.finite.html'>is.finite</a></code>) are also reported as missing
codes.

Check for repetitive values using the digits 8 or 9 only — util_looks_like_missing

<dl>

<dt>x</dt>
<dd><code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> vector to test</dd>


<dt>n_rules</dt>
<dd><code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> Only outlying values can be missing
codes; at least <code>n_rules</code> rules in
<code>acc_univariate_outlier</code> match</dd>

</dl>

util_looks_like_missing: Check for repetitive values using the digits 8 or 9 only

Description

Usage

Value

Arguments

See Also