print.dataquieR_resultset

Generate a RMarkdown-based report from a dataquieR report

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

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) 

print.dataquieR_resultset function

<dl><dt>x</dt>
<dd>dataquieR report.</dd>
<dt>dir</dt>
<dd><a href="/link/character?package=dataquieR&version=2.0.1" data-mini-rdoc="dataquieR::character">character</a> directory to store the rendered report's files,
a temporary one,
if omitted. Directory will be created, if missing, files may be
overwritten inside that directory</dd>
<dt>view</dt>
<dd><a href="/link/logical?package=dataquieR&version=2.0.1" data-mini-rdoc="dataquieR::logical">logical</a> display the report</dd>
<dt>self_contained</dt>
<dd><a href="/link/logical?package=dataquieR&version=2.0.1" data-mini-rdoc="dataquieR::logical">logical</a> create a single page application HTML file.
This may be quite big and hard to render for your web-browser.</dd>
<dt>...</dt>
<dd>additional arguments:<ul>
<li>template: Report template to use, not yet supported.</li>
<li>chunk_error: display error messages in report</li>
<li>chunk_warning: display warnings in report</li>
<li>output_format: output format to use, see <a href="https://pkgs.rstudio.com/rmarkdown/reference/render.html">rmarkdown::render</a> -- currently,
html based formats are supported by the default template.
If set, the argument self_contained will be ignored.</li>
<li>chunk_echo: display R code in report</li>
<li>chunk_message: display <a href="/link/message?package=dataquieR&version=2.0.1" data-mini-rdoc="dataquieR::message">message</a> outputs in report</li>
</ul></dd></dl>

Arguments

Generate a RMarkdown-based report from a dataquieR report — print.dataquieR_resultset

<dl>

<dt>x</dt>
<dd>dataquieR report.</dd>


<dt>dir</dt>
<dd><a href='https://rdrr.io/r/base/character.html'>character</a> directory to store the rendered report's files,
a temporary one,
if omitted. Directory will be created, if missing, files may be
overwritten inside that directory</dd>


<dt>view</dt>
<dd><a href='https://rdrr.io/r/base/logical.html'>logical</a> display the report</dd>


<dt>self_contained</dt>
<dd><a href='https://rdrr.io/r/base/logical.html'>logical</a> create a single page application HTML file.
This may be quite big and hard to render for your web-browser.</dd>


<dt>...</dt>
<dd>additional arguments:<ul>
<li>template: Report template to use, not yet supported.</li>
<li>chunk_error: display error messages in report</li>
<li>chunk_warning: display warnings in report</li>
<li>output_format: output format to use, see <a href='https://pkgs.rstudio.com/rmarkdown/reference/render.html'>rmarkdown::render</a> -- currently,
html based formats are supported by the default template.
If set, the argument self_contained will be ignored.</li>
<li>chunk_echo: display R code in report</li>
<li>chunk_message: display <a href='https://rdrr.io/r/base/message.html'>message</a> outputs in report</li>
</ul></dd>

</dl>

Generate a RMarkdown-based report from a dataquieR report

print.dataquieR_resultset: Generate a RMarkdown-based report from a dataquieR report

Description

Usage

Value

Arguments