prep_min_obs_level

utility function to subset data based on minimum number of observation per
level

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) 

prep_min_obs_level function

<dl><dt>study_data</dt>
<dd><a href="/link/data.frame?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::data.frame">data.frame</a> the data frame that contains the measurements</dd>
<dt>group_vars</dt>
<dd>variable list the name grouping variable</dd>
<dt>min_obs_in_subgroup</dt>
<dd><a href="/link/integer?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::integer">integer</a> optional argument if a "group_var" is
used. This argument specifies the
minimum no. of observations that is
required to include a subgroup (level)
of the "group_var" in the analysis.
Subgroups with less observations are
excluded. The default is 30.</dd></dl>

Arguments

Support function to identify the levels of a process variable with minimum
number of observations — prep_min_obs_level

<dl>

<dt>study_data</dt>
<dd><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> the data frame that contains the measurements</dd>


<dt>group_vars</dt>
<dd>variable list the name grouping variable</dd>


<dt>min_obs_in_subgroup</dt>
<dd><a href='https://rdrr.io/r/base/integer.html'>integer</a> optional argument if a "group_var" is
used. This argument specifies the
minimum no. of observations that is
required to include a subgroup (level)
of the "group_var" in the analysis.
Subgroups with less observations are
excluded. The default is 30.</dd>

</dl>

Support function to identify the levels of a process variable with minimum
number of observations

prep_min_obs_level: Support function to identify the levels of a process variable with minimum number of observations

Description

Usage

Value

Arguments

Details