int_duplicate_ids

This function tests for duplicates entries in identifiers. It is possible to
check duplicated identifiers by study segments or to consider only selected
segments.
Indicator

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.qihs.uni-greifswald.de/Annotation_of_Metadata.html>.

Stephan Struckmann

dataquieR

Data Quality in Epidemiological Research

University Medicine Greifswald 

Elisa Kasbohm

Joany Marino

Elena Salogni

Adrian Richter

Carsten Oliver Schmidt

German Research Foundation (DFG SCHM 2744/3-1, SCHM 2744/9-1, SCHM 2744/3-4) 

National Research Data Infrastructure for Personal Health Data: (NFDI 13/1) 

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

int_duplicate_ids function

<dl><dt>level</dt>
<dd><a href="/link/character?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::character">character</a> a character vector indicating whether the assessment should be conducted at the study level (level = "dataframe") or at the segment level (level = "segment").</dd>
<dt>...</dt>
<dd>Depending on <code>level</code>, passed to either
util_int_duplicate_ids_segment or
util_int_duplicate_ids_dataframe</dd></dl>

Arguments

Check for duplicated IDs — int_duplicate_ids

<dl>

<dt>level</dt>
<dd><a href='https://rdrr.io/r/base/character.html'>character</a> a character vector indicating whether the assessment should be conducted at the study level (level = "dataframe") or at the segment level (level = "segment").</dd>


<dt>...</dt>
<dd>Depending on <code>level</code>, passed to either
util_int_duplicate_ids_segment or
util_int_duplicate_ids_dataframe</dd>

</dl>

Check for duplicated IDs

int_duplicate_ids: Check for duplicated IDs

Description

Usage

Value

Arguments