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2
pkgdown.yml
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@ -2,7 +2,7 @@ pandoc: 3.1.11
pkgdown: 2.1.1
pkgdown_sha: ~
articles: {}
last_built: 2025-03-12T17:44Z
last_built: 2025-03-13T12:02Z
urls:
reference: https://agdamsbo.github.io/freesearcheR/reference
article: https://agdamsbo.github.io/freesearcheR/articles

17
reference/data-correlations.html
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@ -1,7 +1,5 @@
<!DOCTYPE html>
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data correlations evaluation module — data-correlations • freesearcheR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Montserrat-0.4.9/font.css" rel="stylesheet"><link href="../deps/Public_Sans-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Data correlations evaluation module — data-correlations"><meta name="description" content="Data correlations evaluation module
Data correlations evaluation module"><meta property="og:description" content="Data correlations evaluation module
Data correlations evaluation module"></head><body>
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data correlations evaluation module — data-correlations • freesearcheR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Montserrat-0.4.9/font.css" rel="stylesheet"><link href="../deps/Public_Sans-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Data correlations evaluation module — data-correlations"><meta name="description" content="Data correlations evaluation module"><meta property="og:description" content="Data correlations evaluation module"></head><body>
<a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@ -33,24 +31,19 @@ Data correlations evaluation module"></head><body>
<main id="main" class="col-md-9"><div class="page-header">
<h1>Data correlations evaluation module</h1>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/correlations-module.R" class="external-link"><code>R/correlations-module.R</code></a>, <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/data_plots.R" class="external-link"><code>R/data_plots.R</code></a></small>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/correlations-module.R" class="external-link"><code>R/correlations-module.R</code></a></small>
<div class="d-none name"><code>data-correlations.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Data correlations evaluation module</p>
<p>Data correlations evaluation module</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">data_correlations_ui</span><span class="op">(</span><span class="va">id</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">data_correlations_server</span><span class="op">(</span><span class="va">id</span>, <span class="va">data</span>, include.class <span class="op">=</span> <span class="cn">NULL</span>, cutoff <span class="op">=</span> <span class="fl">0.7</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">data_visuals_ui</span><span class="op">(</span><span class="va">id</span>, tab_title <span class="op">=</span> <span class="st">"Plots"</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">data_visuals_server</span><span class="op">(</span><span class="va">id</span>, <span class="va">data</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
<span><span class="fu">data_correlations_server</span><span class="op">(</span><span class="va">id</span>, <span class="va">data</span>, include.class <span class="op">=</span> <span class="cn">NULL</span>, cutoff <span class="op">=</span> <span class="fl">0.7</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
</div>
<div class="section level2">
@ -62,7 +55,7 @@ Data correlations evaluation module"></head><body>
<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
<dd><p>ignored</p></dd>
<dd><p>arguments passed to toastui::datagrid</p></dd>
<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
@ -80,8 +73,6 @@ Data correlations evaluation module"></head><body>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<p>Shiny ui module</p>
<p>shiny server module</p>
<p>Shiny ui module</p>
<p>shiny server module</p>
</div>

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@ -1,17 +1,19 @@
<!DOCTYPE html>
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot nice ridge plot — data-plots • freesearcheR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Montserrat-0.4.9/font.css" rel="stylesheet"><link href="../deps/Public_Sans-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Plot nice ridge plot — data-plots"><meta name="description" content="Plot nice ridge plot
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data correlations evaluation module — data-plots • freesearcheR</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Montserrat-0.4.9/font.css" rel="stylesheet"><link href="../deps/Public_Sans-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Data correlations evaluation module — data-plots"><meta name="description" content="Data correlations evaluation module
Wrapper to create plot based on provided type
Nice horizontal stacked bars (Grotta bars)
Beatiful violin plot
Beautiful violin plot
Plot nice ridge plot
Readying data for sankey plot
Beautiful sankey plot with option to split by a tertiary group"><meta property="og:description" content="Plot nice ridge plot
Beautiful sankey plot with option to split by a tertiary group
Beautiful violin plot
Beatiful violin plot"><meta property="og:description" content="Data correlations evaluation module
Wrapper to create plot based on provided type
Nice horizontal stacked bars (Grotta bars)
Beatiful violin plot
Beautiful violin plot
Plot nice ridge plot
Readying data for sankey plot
Beautiful sankey plot with option to split by a tertiary group"></head><body>
Beautiful sankey plot with option to split by a tertiary group
Beautiful violin plot
Beatiful violin plot"></head><body>
<a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@ -42,46 +44,63 @@ Beautiful sankey plot with option to split by a tertiary group"></head><body>
<div class="row">
<main id="main" class="col-md-9"><div class="page-header">
<h1>Plot nice ridge plot</h1>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/data_plots.R" class="external-link"><code>R/data_plots.R</code></a>, <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/plot_sankey.R" class="external-link"><code>R/plot_sankey.R</code></a></small>
<h1>Data correlations evaluation module</h1>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/data_plots.R" class="external-link"><code>R/data_plots.R</code></a>, <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/plot_hbar.R" class="external-link"><code>R/plot_hbar.R</code></a>, <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/plot_ridge.R" class="external-link"><code>R/plot_ridge.R</code></a>, and 3 more</small>
<div class="d-none name"><code>data-plots.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Plot nice ridge plot</p>
<p>Data correlations evaluation module</p>
<p>Wrapper to create plot based on provided type</p>
<p>Nice horizontal stacked bars (Grotta bars)</p>
<p>Beatiful violin plot</p>
<p>Beautiful violin plot</p>
<p>Plot nice ridge plot</p>
<p>Readying data for sankey plot</p>
<p>Beautiful sankey plot with option to split by a tertiary group</p>
<p>Beautiful violin plot</p>
<p>Beatiful violin plot</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_ridge</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">data_visuals_ui</span><span class="op">(</span><span class="va">id</span>, tab_title <span class="op">=</span> <span class="st">"Plots"</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">data_visuals_server</span><span class="op">(</span><span class="va">id</span>, <span class="va">data</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">create_plot</span><span class="op">(</span><span class="va">data</span>, <span class="va">type</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">plot_hbars</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">plot_violin</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">plot_scatter</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
<span><span class="fu">plot_ridge</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">sankey_ready</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, numbers <span class="op">=</span> <span class="st">"count"</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">plot_sankey</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span>, color.group <span class="op">=</span> <span class="st">"x"</span>, colors <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
<span><span class="fu">plot_sankey</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span>, color.group <span class="op">=</span> <span class="st">"x"</span>, colors <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">plot_scatter</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">plot_violin</span><span class="op">(</span><span class="va">data</span>, <span class="va">x</span>, <span class="va">y</span>, z <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
</div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
<dl><dt id="arg-id">id<a class="anchor" aria-label="anchor" href="#arg-id"></a></dt>
<dd><p>Module id. (Use 'ns("id")')</p></dd>
<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
<dd><p>ignored for now</p></dd>
<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
<dd><p>data.frame</p></dd>
<dt id="arg-type">type<a class="anchor" aria-label="anchor" href="#arg-type"></a></dt>
<dd><p>plot type (derived from possible_plots() and matches custom function)</p></dd>
<dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
<dd><p>primary variable</p></dd>
@ -93,33 +112,37 @@ Beautiful sankey plot with option to split by a tertiary group"></head><body>
<dt id="arg-z">z<a class="anchor" aria-label="anchor" href="#arg-z"></a></dt>
<dd><p>tertiary variable</p></dd>
<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
<dd><p>ignored for now</p></dd>
<dt id="arg-type">type<a class="anchor" aria-label="anchor" href="#arg-type"></a></dt>
<dd><p>plot type (derived from possible_plots() and matches custom function)</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<p>ggplot2 object</p>
<p>ggplot2 object</p>
<p>Shiny ui module</p>
<p>shiny server module</p>
<p>ggplot2 object</p>
<p>ggplot2 object</p>
<p>ggplot2 object</p>
<p>data.frame</p>
<p>ggplot2 object</p>
<p>ggplot2 object</p>
<p>ggplot2 object</p>
</div>
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span></span></span>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">create_plot</span><span class="op">(</span><span class="va">mtcars</span>, <span class="st">"plot_violin"</span>, <span class="st">"mpg"</span>, <span class="st">"cyl"</span><span class="op">)</span></span></span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in if (!z %in% names(data)) { z &lt;- NULL}:</span> argument is of length zero</span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_hbars</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"carb"</span>, y <span class="op">=</span> <span class="st">"cyl"</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Scale for <span style="color: #00BB00;">fill</span> is already present.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Adding another scale for <span style="color: #00BB00;">fill</span>, which will replace the existing scale.</span>
<span class="r-plt img"><img src="data-plots-1.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_hbars</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"carb"</span>, y <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Scale for <span style="color: #00BB00;">fill</span> is already present.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Adding another scale for <span style="color: #00BB00;">fill</span>, which will replace the existing scale.</span>
<span class="r-plt img"><img src="data-plots-2.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span></span></span>
<span class="r-in"><span> <span class="fu"><a href="default_parsing.html">default_parsing</a></span><span class="op">(</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
<span class="r-in"><span> <span class="fu">plot_ridge</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"mpg"</span>, y <span class="op">=</span> <span class="st">"cyl"</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Picking joint bandwidth of 1.38</span>
<span class="r-plt img"><img src="data-plots-1.png" alt="" width="700" height="433"></span>
<span class="r-plt img"><img src="data-plots-3.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_ridge</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"mpg"</span>, y <span class="op">=</span> <span class="st">"cyl"</span>, z <span class="op">=</span> <span class="st">"gear"</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Picking joint bandwidth of 1.52</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>The following aesthetics were dropped during statistical transformation: <span style="color: #00BB00;">y</span> and</span>
@ -132,44 +155,6 @@ Beautiful sankey plot with option to split by a tertiary group"></head><body>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Error occurred in the 1st layer.</span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span style="font-weight: bold;">Caused by error in `compute_geom_1()`:</span></span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> `geom_density_ridges()` requires the following missing aesthetics: <span style="color: #00BB00;">y</span>.</span>
<span class="r-in"><span><span class="fu">create_plot</span><span class="op">(</span><span class="va">mtcars</span>, <span class="st">"plot_violin"</span>, <span class="st">"mpg"</span>, <span class="st">"cyl"</span><span class="op">)</span></span></span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in if (!z %in% names(data)) { z &lt;- NULL}:</span> argument is of length zero</span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_hbars</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"carb"</span>, y <span class="op">=</span> <span class="st">"cyl"</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Scale for <span style="color: #00BB00;">fill</span> is already present.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Adding another scale for <span style="color: #00BB00;">fill</span>, which will replace the existing scale.</span>
<span class="r-plt img"><img src="data-plots-2.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_hbars</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"carb"</span>, y <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Scale for <span style="color: #00BB00;">fill</span> is already present.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Adding another scale for <span style="color: #00BB00;">fill</span>, which will replace the existing scale.</span>
<span class="r-plt img"><img src="data-plots-3.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_violin</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"mpg"</span>, y <span class="op">=</span> <span class="st">"cyl"</span>, z <span class="op">=</span> <span class="st">"gear"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 1: `cyl = 4`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 1: `cyl = 4`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 2: `cyl = 6`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 2: `cyl = 6`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-plt img"><img src="data-plots-4.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_scatter</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"mpg"</span>, y <span class="op">=</span> <span class="st">"wt"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="data-plots-5.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>g <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="va">LETTERS</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">2</span><span class="op">]</span>, <span class="fl">100</span>, <span class="cn">TRUE</span><span class="op">)</span>, first <span class="op">=</span> <span class="fu">REDCapCAST</span><span class="fu">::</span><span class="fu">as_factor</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="va">letters</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">4</span><span class="op">]</span>, <span class="fl">100</span>, <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span>, last <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">letters</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">4</span><span class="op">]</span>, <span class="cn">NA</span><span class="op">)</span>, <span class="fl">100</span>, <span class="cn">TRUE</span>, prob <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">.23</span>, <span class="fl">4</span><span class="op">)</span>, <span class="fl">.08</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">ds</span> <span class="op">|&gt;</span> <span class="fu">sankey_ready</span><span class="op">(</span><span class="st">"first"</span>, <span class="st">"last"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 19 × 7</span></span>
@ -237,10 +222,56 @@ Beautiful sankey plot with option to split by a tertiary group"></head><body>
<span class="r-in"><span><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>g <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="va">LETTERS</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">2</span><span class="op">]</span>, <span class="fl">100</span>, <span class="cn">TRUE</span><span class="op">)</span>, first <span class="op">=</span> <span class="fu">REDCapCAST</span><span class="fu">::</span><span class="fu">as_factor</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="va">letters</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">4</span><span class="op">]</span>, <span class="fl">100</span>, <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span>, last <span class="op">=</span> <span class="fu">REDCapCAST</span><span class="fu">::</span><span class="fu">as_factor</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="va">letters</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">4</span><span class="op">]</span>, <span class="fl">100</span>, <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">ds</span> <span class="op">|&gt;</span> <span class="fu">plot_sankey</span><span class="op">(</span><span class="st">"first"</span>, <span class="st">"last"</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Loading required package: ggplot2</span>
<span class="r-plt img"><img src="data-plots-6.png" alt="" width="700" height="433"></span>
<span class="r-plt img"><img src="data-plots-4.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">ds</span> <span class="op">|&gt;</span> <span class="fu">plot_sankey</span><span class="op">(</span><span class="st">"first"</span>, <span class="st">"last"</span>, color.group <span class="op">=</span> <span class="st">"y"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="data-plots-7.png" alt="" width="700" height="433"></span>
<span class="r-plt img"><img src="data-plots-5.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">ds</span> <span class="op">|&gt;</span> <span class="fu">plot_sankey</span><span class="op">(</span><span class="st">"first"</span>, <span class="st">"last"</span>, z <span class="op">=</span> <span class="st">"g"</span>, color.group <span class="op">=</span> <span class="st">"y"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="data-plots-6.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_scatter</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"mpg"</span>, y <span class="op">=</span> <span class="st">"wt"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="data-plots-7.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_violin</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"mpg"</span>, y <span class="op">=</span> <span class="st">"cyl"</span>, z <span class="op">=</span> <span class="st">"gear"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 1: `cyl = 4`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 1: `cyl = 4`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 2: `cyl = 6`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `summarize()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `V1 = .fun(as.data.frame(pick(everything())), var)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In group 2: `cyl = 6`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning in `stats::qt()`:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> NaNs produced</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 2 rows containing non-finite outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`stat_ydensity()`).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Groups with fewer than two datapoints have been dropped.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Set `drop = FALSE` to consider such groups for position adjustment purposes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 1 row containing missing values or values outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`geom_point()`).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 4 rows containing non-finite outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`stat_ydensity()`).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 1 row containing missing values or values outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`geom_point()`).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 1 row containing non-finite outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`stat_ydensity()`).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 1 row containing missing values or values outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`geom_point()`).</span>
<span class="r-plt img"><img src="data-plots-8.png" alt="" width="700" height="433"></span>
</code></pre></div>
</div>

4
reference/data_visuals_server.html
View file

@ -1,8 +1,8 @@
<html>
<head>
<meta http-equiv="refresh" content="0;URL=https://agdamsbo.github.io/freesearcheR/reference/data-correlations.html" />
<meta http-equiv="refresh" content="0;URL=https://agdamsbo.github.io/freesearcheR/reference/data-plots.html" />
<meta name="robots" content="noindex">
<link rel="canonical" href="https://agdamsbo.github.io/freesearcheR/reference/data-correlations.html">
<link rel="canonical" href="https://agdamsbo.github.io/freesearcheR/reference/data-plots.html">
</head>
</html>

4
reference/data_visuals_ui.html
View file

@ -1,8 +1,8 @@
<html>
<head>
<meta http-equiv="refresh" content="0;URL=https://agdamsbo.github.io/freesearcheR/reference/data-correlations.html" />
<meta http-equiv="refresh" content="0;URL=https://agdamsbo.github.io/freesearcheR/reference/data-plots.html" />
<meta name="robots" content="noindex">
<link rel="canonical" href="https://agdamsbo.github.io/freesearcheR/reference/data-correlations.html">
<link rel="canonical" href="https://agdamsbo.github.io/freesearcheR/reference/data-plots.html">
</head>
</html>

2
reference/getfun.html
View file

@ -132,7 +132,7 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> z$qr &lt;- NULL</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> z</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x5645c3677098&gt;</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x5594c5acb948&gt;</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: namespace:stats&gt;</span>
</code></pre></div>
</div>

2
reference/import-file.html
View file

@ -43,7 +43,7 @@
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">import_file_ui</span><span class="op">(</span></span>
<span> <span class="va">id</span>,</span>
<span> title <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span> title <span class="op">=</span> <span class="st">""</span>,</span>
<span> preview_data <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span> file_extensions <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">".csv"</span>, <span class="st">".txt"</span>, <span class="st">".xls"</span>, <span class="st">".xlsx"</span>, <span class="st">".rds"</span>, <span class="st">".fst"</span>, <span class="st">".sas7bdat"</span>,</span>
<span> <span class="st">".sav"</span><span class="op">)</span>,</span>

6
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@ -130,16 +130,16 @@
<dd>Extended cutting function</dd>
</dl><dl><dt>
<code><a href="data-correlations.html">data_correlations_ui()</a></code> <code><a href="data-correlations.html">data_correlations_server()</a></code> <code><a href="data-correlations.html">data_visuals_ui()</a></code> <code><a href="data-correlations.html">data_visuals_server()</a></code>
<code><a href="data-correlations.html">data_correlations_ui()</a></code> <code><a href="data-correlations.html">data_correlations_server()</a></code>
</dt>
<dd>Data correlations evaluation module</dd>
</dl><dl><dt>
<code><a href="data-plots.html">plot_ridge()</a></code> <code><a href="data-plots.html">create_plot()</a></code> <code><a href="data-plots.html">plot_hbars()</a></code> <code><a href="data-plots.html">plot_violin()</a></code> <code><a href="data-plots.html">plot_scatter()</a></code> <code><a href="data-plots.html">sankey_ready()</a></code> <code><a href="data-plots.html">plot_sankey()</a></code>
<code><a href="data-plots.html">data_visuals_ui()</a></code> <code><a href="data-plots.html">data_visuals_server()</a></code> <code><a href="data-plots.html">create_plot()</a></code> <code><a href="data-plots.html">plot_hbars()</a></code> <code><a href="data-plots.html">plot_ridge()</a></code> <code><a href="data-plots.html">sankey_ready()</a></code> <code><a href="data-plots.html">plot_sankey()</a></code> <code><a href="data-plots.html">plot_scatter()</a></code> <code><a href="data-plots.html">plot_violin()</a></code>
</dt>
<dd>Plot nice ridge plot</dd>
<dd>Data correlations evaluation module</dd>
</dl><dl><dt>
<code><a href="data-summary.html">data_summary_ui()</a></code> <code><a href="data-summary.html">data_summary_server()</a></code>

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@ -83,7 +83,9 @@
<span class="r-in"><span><span class="op">)</span> <span class="op">|&gt;</span> <span class="fu">plot_euler</span><span class="op">(</span><span class="st">"A"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"B"</span>, <span class="st">"C"</span><span class="op">)</span>, <span class="st">"D"</span>, seed <span class="op">=</span> <span class="fl">4</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="plot_euler-1.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_euler</span><span class="op">(</span><span class="st">"vs"</span>, <span class="st">"am"</span>, seed <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [[1]]</span>
<span class="r-plt img"><img src="plot_euler-2.png" alt="" width="700" height="433"></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>

2
reference/redcap_read_shiny_module.html
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@ -44,7 +44,7 @@ Test app for the redcap_read_shiny_module"></head><body>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">m_redcap_readUI</span><span class="op">(</span><span class="va">id</span>, include_title <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">m_redcap_readUI</span><span class="op">(</span><span class="va">id</span>, title <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">m_redcap_readServer</span><span class="op">(</span><span class="va">id</span><span class="op">)</span></span>
<span></span>

2
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@ -31,7 +31,7 @@
<main id="main" class="col-md-9"><div class="page-header">
<h1>Vertical stacked bar plot wrapper</h1>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/data_plots.R" class="external-link"><code>R/data_plots.R</code></a></small>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/R/plot_hbar.R" class="external-link"><code>R/plot_hbar.R</code></a></small>
<div class="d-none name"><code>vertical_stacked_bars.Rd</code></div>
</div>

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