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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>

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@ -0,0 +1,163 @@
<!DOCTYPE html>
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<title>Data types • FreesearchR</title>
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<h1>Data types</h1>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/FreesearchR/blob/main/vignettes/data-types.Rmd" class="external-link"><code>vignettes/data-types.Rmd</code></a></small>
<div class="d-none name"><code>data-types.Rmd</code></div>
</div>
<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/agdamsbo/FreesearchR" class="external-link">FreesearchR</a></span><span class="op">)</span></span>
<span><span class="co">#&gt; </span></span>
<span><span class="co">#&gt; Attaching package: 'FreesearchR'</span></span>
<span><span class="co">#&gt; The following object is masked from 'package:base':</span></span>
<span><span class="co">#&gt; </span></span>
<span><span class="co">#&gt; sort_by</span></span></code></pre></div>
<div class="section level2">
<h2 id="a-clinical-data-class">A clinical data class<a class="anchor" aria-label="anchor" href="#a-clinical-data-class"></a>
</h2>
<p>Traditionally in <em>R</em>, data is identified by classes, like
numeric, integer, double, logical, factor etc. These classes can be a
little confusing from a clinical or operational standpoint. In the
<strong><em>FreesearchR</em></strong> app, these classes has been
simplified and modified to the following data types, that are assigned
on a prioritised order like the following:</p>
<table class="table">
<colgroup>
<col width="14%">
<col width="50%">
<col width="35%">
</colgroup>
<thead><tr class="header">
<th align="left">Data type</th>
<th align="left">Description</th>
<th align="left">Data classes included</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">empty</td>
<td align="left">Variable of all NAs</td>
<td align="left">Any class</td>
</tr>
<tr class="even">
<td align="left">monotone</td>
<td align="left">Variable with only one unique value</td>
<td align="left">Any class</td>
</tr>
<tr class="odd">
<td align="left">dichotomous</td>
<td align="left">Variable with only two unique values</td>
<td align="left">Any class</td>
</tr>
<tr class="even">
<td align="left">categorical</td>
<td align="left">Factor variable</td>
<td align="left">factor (ordered or unordered)</td>
</tr>
<tr class="odd">
<td align="left">text</td>
<td align="left">Character variable</td>
<td align="left">character</td>
</tr>
<tr class="even">
<td align="left">datetime</td>
<td align="left">Variable of time, date or datetime values</td>
<td align="left">hms, Date, POSIXct and POSIXt</td>
</tr>
<tr class="odd">
<td align="left">continuous</td>
<td align="left">Numeric variable</td>
<td align="left">numeric, integer or double</td>
</tr>
<tr class="even">
<td align="left">unknown</td>
<td align="left">Anything not falling within the previous</td>
<td align="left">Any other class</td>
</tr>
</tbody>
</table>
<p>Categorising data in this way makes sense when making choices on how
to evaluate and analyse data. This is used throughout the
<strong><em>FreesearchR</em></strong> app to simplify data handling.</p>
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@ -38,7 +38,9 @@
<h3>All vignettes</h3>
<div class="section-desc"></div>
<dl><dt><a href="FreesearchR.html">FreesearchR</a></dt>
<dl><dt><a href="data-types.html">Data types</a></dt>
<dd>
</dd><dt><a href="FreesearchR.html">FreesearchR</a></dt>
<dd>
</dd></dl></div>
</main></div>