prep_pmap

parallel version of <code><a href="https://purrr.tidyverse.org/reference/map2.html">purrr::pmap</a></code>

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_pmap function

<dl><dt>.l</dt>
<dd><a href="/link/data.frame?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::data.frame">data.frame</a> with one call per line and one function argument
per column</dd>
<dt>.f</dt>
<dd><code><a href="/link/function?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::function">function</a></code> to call with the arguments from <code>.l</code></dd>
<dt>...</dt>
<dd>additional, static arguments for calling <code>.f</code></dd>
<dt>cores</dt>
<dd>number of cpu cores to use or a (named) list with arguments for
parallelMap::parallelStart or NULL, if parallel has already
been started by the caller. Set to 0 to run without
parallelization.</dd></dl>

Arguments

<a href="https://stackoverflow.com/users/6197649">Aurèle</a>
S Struckmann

Author

parallel version of <code><a href='https://purrr.tidyverse.org/reference/map2.html'>purrr::pmap</a></code>

Support function for a parallel pmap — prep_pmap

<dl>

<dt>.l</dt>
<dd><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with one call per line and one function argument
per column</dd>


<dt>.f</dt>
<dd><code><a href='https://rdrr.io/r/base/function.html'>function</a></code> to call with the arguments from <code>.l</code></dd>


<dt>...</dt>
<dd>additional, static arguments for calling <code>.f</code></dd>


<dt>cores</dt>
<dd>number of cpu cores to use or a (named) list with arguments for
parallelMap::parallelStart or NULL, if parallel has already
been started by the caller. Set to 0 to run without
parallelization.</dd>

</dl>

<a href='https://stackoverflow.com/users/6197649'>Aurèle</a>
S Struckmann

prep_pmap: Support function for a parallel `pmap`

Description

Usage

Value

Arguments

Author

See Also