util_ds1_eval_env

generates an environment similar to <code>as.environment(ds1)</code>, but makes
variables available by their <code>VAR_NAME</code>, <code>LABEL</code>, and <code>label_col</code> - names.

internal

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) 

util_ds1_eval_env 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>meta_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 metadata
attributes of study data</dd>
<dt>label_col</dt>
<dd>variable attribute the name of the column in the metadata
with labels of variables. If
<code>study_data</code> has already been mapped,
i.e., <code>util_ds1_eval_env(ds1, ...)</code> is
called, this will work too</dd></dl>

Arguments

Create an environment with several alias names for the study data variables — util_ds1_eval_env

<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>meta_data</dt>
<dd><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> the data frame that contains metadata
attributes of study data</dd>


<dt>label_col</dt>
<dd>variable attribute the name of the column in the metadata
with labels of variables. If
<code>study_data</code> has already been mapped,
i.e., <code>util_ds1_eval_env(ds1, ...)</code> is
called, this will work too</dd>

</dl>

Create an environment with several alias names for the study data variables

util_ds1_eval_env: Create an environment with several alias names for the study data variables

Description

Usage

Arguments