int_unexp_records_dataframe

This function contrasts the expected record number in each study in
the metadata with the actual record number in each study data frame.
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_unexp_records_dataframe function

<dl><dt>identifier_name_list</dt>
<dd><a href="/link/character?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::character">character</a> a character vector indicating the name of each study data frame, mandatory.</dd>
<dt>data_record_count</dt>
<dd><a href="/link/integer?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::integer">integer</a> an integer vector with the number of expected data records per study data frame, mandatory.</dd></dl>

Arguments

Check for unexpected data record count at the data frame level — int_unexp_records_dataframe

<dl>

<dt>identifier_name_list</dt>
<dd><a href='https://rdrr.io/r/base/character.html'>character</a> a character vector indicating the name of each study data frame, mandatory.</dd>


<dt>data_record_count</dt>
<dd><a href='https://rdrr.io/r/base/integer.html'>integer</a> an integer vector with the number of expected data records per study data frame, mandatory.</dd>

</dl>

Check for unexpected data record count at the data frame level

int_unexp_records_dataframe: Check for unexpected data record count at the data frame level

Description

Usage

Value

Arguments