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@ -138,6 +138,21 @@ data insights and code generation for basic plotting to fine tune.</p>
</div>
</div>
<div class="section level3">
<h3 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
</h3>
<p>This is the panel to get a good overview of your data, check data is
classed and formatted correctly, perform simple modifications and filter
data.</p>
<div class="section level4">
<h4 id="summary">Summary<a class="anchor" aria-label="anchor" href="#summary"></a>
</h4>
</div>
<div class="section level4">
<h4 id="modify">Modify<a class="anchor" aria-label="anchor" href="#modify"></a>
</h4>
</div>
</div>
<div class="section level3">
<h3 id="evaluate">Evaluate<a class="anchor" aria-label="anchor" href="#evaluate"></a>
</h3>
<p>This panel allows for basic data evaluation.</p>
@ -219,29 +234,6 @@ visualise data distribution</td>
set relationships</td>
</tr>
<tr class="odd">
<td align="left">ordinal</td>
<td align="left">Stacked horizontal bars</td>
<td align="left">A classical way of visualising the distribution of an
ordinal scale like the modified Ranking Scale and known as Grotta
bars</td>
</tr>
<tr class="even">
<td align="left">ordinal</td>
<td align="left">Violin plot</td>
<td align="left">A modern alternative to the classic boxplot to
visualise data distribution</td>
</tr>
<tr class="odd">
<td align="left">ordinal</td>
<td align="left">Sankey plot</td>
<td align="left">A way of visualising change between groups</td>
</tr>
<tr class="even">
<td align="left">ordinal</td>
<td align="left">Box plot</td>
<td align="left">A classic way to plot data distribution by groups</td>
</tr>
<tr class="odd">
<td align="left">categorical</td>
<td align="left">Stacked horizontal bars</td>
<td align="left">A classical way of visualising the distribution of an
@ -277,6 +269,41 @@ fine tune all the small details.</p>
<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>
<p>Below are the available regression types listed.</p>
<table class="table">
<colgroup>
<col width="16%">
<col width="46%">
<col width="15%">
<col width="21%">
</colgroup>
<thead><tr class="header">
<th align="left">Data type</th>
<th align="left">Regression model</th>
<th align="left">Function</th>
<th align="left">Study design</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">continuous</td>
<td align="left">Linear regression model</td>
<td align="left">stats::lm</td>
<td align="left">cross-sectional</td>
</tr>
<tr class="even">
<td align="left">dichotomous</td>
<td align="left">Logistic regression model</td>
<td align="left">stats::glm</td>
<td align="left">cross-sectional</td>
</tr>
<tr class="odd">
<td align="left">categorical</td>
<td align="left">Ordinal logistic regression model</td>
<td align="left">MASS::polr</td>
<td align="left">cross-sectional</td>
</tr>
</tbody>
</table>
<div class="section level4">
<h4 id="table">Table<a class="anchor" aria-label="anchor" href="#table"></a>
</h4>
@ -305,7 +332,7 @@ Choose which model(s) to include.</p>
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 id="data-1">Data<a class="anchor" aria-label="anchor" href="#data-1"></a>
</h4>
<p>Export the modified dataset in different formats.</p>
</div>