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@ -266,10 +266,34 @@ visualise data distribution</td>
</tr>
</tbody>
</table>
<p>Export the plots directly from the sidebar with easily adjusted plot
dimensions for your next publication.</p>
<p>Also copy the code to generate the plot in your own R-environment and
fine tune all the small details.</p>
</div>
<div class="section level3">
<h3 id="regression">Regression<a class="anchor" aria-label="anchor" href="#regression"></a>
</h3>
<p>This section is only intended for very simple explorative analyses
and as a proof-of-concept for now. If you are doing complex regression
analyses you should probably just write the code yourself.</p>
<div class="section level4">
<h4 id="table">Table<a class="anchor" aria-label="anchor" href="#table"></a>
</h4>
<p>Generate simple regression models and get the results in a nice
table. This will also be included in the exported report.</p>
</div>
<div class="section level4">
<h4 id="plots">Plots<a class="anchor" aria-label="anchor" href="#plots"></a>
</h4>
<p>Plot the coefficients from the regression models in a forest plot.
Choose which model(s) to include.</p>
</div>
<div class="section level4">
<h4 id="checks">Checks<a class="anchor" aria-label="anchor" href="#checks"></a>
</h4>
<p>Check model assumptions visually. Supported checks can be chosen.</p>
</div>
</div>
<div class="section level3">
<h3 id="download">Download<a class="anchor" aria-label="anchor" href="#download"></a>
@ -277,14 +301,19 @@ visualise data distribution</td>
<div class="section level4">
<h4 id="report">Report<a class="anchor" aria-label="anchor" href="#report"></a>
</h4>
<p>Download a nice report with baseline characteristics and regression
model results. Choose between MS Word or LibreOffice format.</p>
</div>
<div class="section level4">
<h4 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
</h4>
<p>Export the modified dataset in different formats.</p>
</div>
<div class="section level4">
<h4 id="code">Code<a class="anchor" aria-label="anchor" href="#code"></a>
</h4>
<p>See all the code snippets from the different steps in your data
evaluation.</p>
</div>
</div>
</div>