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<!-- 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 • FreesearchR</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><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-0.4.10/font.css" rel="stylesheet"><link href="../deps/Public_Sans-0.4.10/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
Beautiful box plot(s)
Create nice box-plots
Nice horizontal stacked bars (Grotta bars)
Plot nice ridge plot
Readying data for sankey 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
Beautiful box plot(s)
Create nice box-plots
Nice horizontal stacked bars (Grotta bars)
Plot nice ridge plot
Readying data for sankey plot
Beautiful sankey plot with option to split by a tertiary group
Beautiful violin plot
Beatiful violin plot"><meta property="og:image" content="https://agdamsbo.github.io/FreesearchR/logo.png"><script defer src="https://stats.freesearchr.org/script.js" data-website-id="85bfd1e8-2cbe-4a4a-aa34-1dfb2960905b"></script></head><body>
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<img src="../logo.png" class="logo" alt=""><h1>Data correlations evaluation module</h1>
<small class="dont-index">Source: <a href="https://github.com/agdamsbo/FreesearchR/blob/main/R/data_plots.R" class="external-link"><code>R/data_plots.R</code></a>, <a href="https://github.com/agdamsbo/FreesearchR/blob/main/R/plot_box.R" class="external-link"><code>R/plot_box.R</code></a>, <a href="https://github.com/agdamsbo/FreesearchR/blob/main/R/plot_hbar.R" class="external-link"><code>R/plot_hbar.R</code></a>, and 4 more</small>
<div class="d-none name"><code>data-plots.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Data correlations evaluation module</p>
<p>Wrapper to create plot based on provided type</p>
<p>Beautiful box plot(s)</p>
<p>Create nice box-plots</p>
<p>Nice horizontal stacked bars (Grotta bars)</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">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">pri</span>, <span class="va">sec</span>, ter <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_box</span><span class="op">(</span><span class="va">data</span>, <span class="va">pri</span>, <span class="va">sec</span>, ter <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_box_single</span><span class="op">(</span><span class="va">data</span>, <span class="va">pri</span>, sec <span class="op">=</span> <span class="cn">NULL</span>, seed <span class="op">=</span> <span class="fl">2103</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">pri</span>, <span class="va">sec</span>, ter <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
<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">pri</span>, <span class="va">sec</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">pri</span>, <span class="va">sec</span>, ter <span class="op">=</span> <span class="cn">NULL</span>, color.group <span class="op">=</span> <span class="st">"pri"</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">pri</span>, <span class="va">sec</span>, ter <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">pri</span>, <span class="va">sec</span>, ter <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-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>passed on to wrap_plot_list</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-pri">pri<a class="anchor" aria-label="anchor" href="#arg-pri"></a></dt>
<dd><p>primary variable</p></dd>
<dt id="arg-sec">sec<a class="anchor" aria-label="anchor" href="#arg-sec"></a></dt>
<dd><p>secondary variable</p></dd>
<dt id="arg-ter">ter<a class="anchor" aria-label="anchor" href="#arg-ter"></a></dt>
<dd><p>tertiary variable</p></dd>
</dl></div>
<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>ggplot2 object</p>
<p>ggplot2 object</p>
<p>ggplot 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="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 class="op">|&gt;</span> <span class="fu"><a href="https://rdrr.io/r/base/attributes.html" class="external-link">attributes</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $names</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "data" "layers" "scales" "guides" "mapping" </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [6] "theme" "coordinates" "facet" "plot_env" "layout" </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] "labels" </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $class</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "gg" "ggplot"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $code</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> FreesearchR::plot_violin(pri = "mpg", sec = "cyl", ter = NULL)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-in"><span><span class="va">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_box</span><span class="op">(</span>pri <span class="op">=</span> <span class="st">"mpg"</span>, sec <span class="op">=</span> <span class="st">"gear"</span><span class="op">)</span></span></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_box</span><span class="op">(</span>pri <span class="op">=</span> <span class="st">"mpg"</span>, sec<span class="op">=</span><span class="st">"cyl"</span><span class="op">)</span></span></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_box</span><span class="op">(</span>pri <span class="op">=</span> <span class="st">"mpg"</span>, sec <span class="op">=</span> <span class="st">"cyl"</span>, ter <span class="op">=</span> <span class="st">"gear"</span><span class="op">)</span></span></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></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_box</span><span class="op">(</span>pri <span class="op">=</span> <span class="st">"mpg"</span>, sec <span class="op">=</span> <span class="st">"cyl"</span>, ter <span class="op">=</span> <span class="st">"gear"</span>,axis.font.family<span class="op">=</span><span class="st">"mono"</span><span class="op">)</span></span></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_box_single</span><span class="op">(</span><span class="st">"mpg"</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">mtcars</span> <span class="op">|&gt;</span> <span class="fu">plot_box_single</span><span class="op">(</span><span class="st">"mpg"</span>,<span class="st">"cyl"</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="fu">gtsummary</span><span class="fu">::</span><span class="va"><a href="https://www.danieldsjoberg.com/gtsummary/reference/trial.html" class="external-link">trial</a></span> <span class="op">|&gt;</span> <span class="fu">plot_box_single</span><span class="op">(</span><span class="st">"age"</span>,<span class="st">"trt"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 11 rows containing non-finite outside the scale range</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`stat_boxplot()`).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 11 rows 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-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_hbars</span><span class="op">(</span>pri <span class="op">=</span> <span class="st">"carb"</span>, sec <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-8.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>pri <span class="op">=</span> <span class="st">"carb"</span>, sec <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-9.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-10.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>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">fill</span>.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> This can happen when ggplot fails to infer the correct grouping structure in</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> the data.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Did you forget to specify a `group` aesthetic or to convert a numerical</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> variable into a factor?</span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in ggridges::geom_density_ridges():</span> Problem while setting up geom.</span>
<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="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>
<span class="r-out co"><span class="r-pr">#&gt;</span> first last n gx.sum gy.sum lx ly </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> d d 11 36 18 <span style="color: #949494;">"</span>d\n(n=36)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(n=18)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> d a 11 36 30 <span style="color: #949494;">"</span>d\n(n=36)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(n=30)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> d b 6 36 25 <span style="color: #949494;">"</span>d\n(n=36)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(n=25)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> d c 8 36 22 <span style="color: #949494;">"</span>d\n(n=36)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(n=22)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> c d 3 24 18 <span style="color: #949494;">"</span>c\n(n=24)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(n=18)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> c a 7 24 30 <span style="color: #949494;">"</span>c\n(n=24)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(n=30)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> c b 10 24 25 <span style="color: #949494;">"</span>c\n(n=24)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(n=25)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> c c 1 24 22 <span style="color: #949494;">"</span>c\n(n=24)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(n=22)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> c <span style="color: #BB0000;">NA</span> 3 24 5 <span style="color: #949494;">"</span>c\n(n=24)<span style="color: #949494;">"</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> b d 2 17 18 <span style="color: #949494;">"</span>b\n(n=17)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(n=18)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> b a 4 17 30 <span style="color: #949494;">"</span>b\n(n=17)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(n=30)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> b b 3 17 25 <span style="color: #949494;">"</span>b\n(n=17)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(n=25)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> b c 7 17 22 <span style="color: #949494;">"</span>b\n(n=17)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(n=22)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> b <span style="color: #BB0000;">NA</span> 1 17 5 <span style="color: #949494;">"</span>b\n(n=17)<span style="color: #949494;">"</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">15</span> a d 2 23 18 <span style="color: #949494;">"</span>a\n(n=23)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(n=18)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">16</span> a a 8 23 30 <span style="color: #949494;">"</span>a\n(n=23)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(n=30)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">17</span> a b 6 23 25 <span style="color: #949494;">"</span>a\n(n=23)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(n=25)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">18</span> a c 6 23 22 <span style="color: #949494;">"</span>a\n(n=23)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(n=22)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">19</span> a <span style="color: #BB0000;">NA</span> 1 23 5 <span style="color: #949494;">"</span>a\n(n=23)<span style="color: #949494;">"</span> <span style="color: #BB0000;">NA</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>, numbers <span class="op">=</span> <span class="st">"percentage"</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>
<span class="r-out co"><span class="r-pr">#&gt;</span> first last n gx.sum gy.sum lx ly </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> d d 11 36 18 <span style="color: #949494;">"</span>d\n(36%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(18%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> d a 11 36 30 <span style="color: #949494;">"</span>d\n(36%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(30%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> d b 6 36 25 <span style="color: #949494;">"</span>d\n(36%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(25%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> d c 8 36 22 <span style="color: #949494;">"</span>d\n(36%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(22%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> c d 3 24 18 <span style="color: #949494;">"</span>c\n(24%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(18%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> c a 7 24 30 <span style="color: #949494;">"</span>c\n(24%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(30%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> c b 10 24 25 <span style="color: #949494;">"</span>c\n(24%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(25%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> c c 1 24 22 <span style="color: #949494;">"</span>c\n(24%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(22%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> c <span style="color: #BB0000;">NA</span> 3 24 5 <span style="color: #949494;">"</span>c\n(24%)<span style="color: #949494;">"</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> b d 2 17 18 <span style="color: #949494;">"</span>b\n(17%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(18%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> b a 4 17 30 <span style="color: #949494;">"</span>b\n(17%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(30%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> b b 3 17 25 <span style="color: #949494;">"</span>b\n(17%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(25%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> b c 7 17 22 <span style="color: #949494;">"</span>b\n(17%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(22%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> b <span style="color: #BB0000;">NA</span> 1 17 5 <span style="color: #949494;">"</span>b\n(17%)<span style="color: #949494;">"</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">15</span> a d 2 23 18 <span style="color: #949494;">"</span>a\n(23%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>d\n(18%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">16</span> a a 8 23 30 <span style="color: #949494;">"</span>a\n(23%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>a\n(30%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">17</span> a b 6 23 25 <span style="color: #949494;">"</span>a\n(23%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>b\n(25%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">18</span> a c 6 23 22 <span style="color: #949494;">"</span>a\n(23%)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>c\n(22%)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">19</span> a <span style="color: #BB0000;">NA</span> 1 23 5 <span style="color: #949494;">"</span>a\n(23%)<span style="color: #949494;">"</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-in"><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></span></span>
<span class="r-in"><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>,</span></span>
<span class="r-in"><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>,</span></span>
<span class="r-in"><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="cn">TRUE</span>, <span class="cn">FALSE</span>, <span class="cn">FALSE</span><span class="op">)</span>, <span class="fl">100</span>, <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
<span class="r-in"><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: 8 × 7</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> first last n gx.sum gy.sum lx ly </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> b FALSE 16 29 66 <span style="color: #949494;">"</span>b\n(n=29)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>FALSE\n(n=66)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> b TRUE 13 29 34 <span style="color: #949494;">"</span>b\n(n=29)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>TRUE\n(n=34)<span style="color: #949494;">"</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> a FALSE 18 25 66 <span style="color: #949494;">"</span>a\n(n=25)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>FALSE\n(n=66)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> a TRUE 7 25 34 <span style="color: #949494;">"</span>a\n(n=25)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>TRUE\n(n=34)<span style="color: #949494;">"</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> d FALSE 13 20 66 <span style="color: #949494;">"</span>d\n(n=20)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>FALSE\n(n=66)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> d TRUE 7 20 34 <span style="color: #949494;">"</span>d\n(n=20)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>TRUE\n(n=34)<span style="color: #949494;">"</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">7</span> c FALSE 19 26 66 <span style="color: #949494;">"</span>c\n(n=26)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>FALSE\n(n=66)<span style="color: #949494;">"</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">8</span> c TRUE 7 26 34 <span style="color: #949494;">"</span>c\n(n=26)<span style="color: #949494;">"</span> <span style="color: #949494;">"</span>TRUE\n(n=34)<span style="color: #949494;">"</span> </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">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-11.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">"sec"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="data-plots-12.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>, ter <span class="op">=</span> <span class="st">"g"</span>, color.group <span class="op">=</span> <span class="st">"sec"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-plt img"><img src="data-plots-13.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_sankey</span><span class="op">(</span><span class="st">"cyl"</span>, <span class="st">"gear"</span>, <span class="st">"am"</span>, color.group <span class="op">=</span> <span class="st">"pri"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-plt img"><img src="data-plots-14.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="co">## In this case, the last plot as the secondary variable in wrong order</span></span></span>
<span class="r-in"><span><span class="co">## Dont know why...</span></span></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_sankey</span><span class="op">(</span><span class="st">"cyl"</span>, <span class="st">"gear"</span>, <span class="st">"vs"</span>, color.group <span class="op">=</span> <span class="st">"pri"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some strata appear at multiple axes.</span>
<span class="r-plt img"><img src="data-plots-15.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>pri <span class="op">=</span> <span class="st">"mpg"</span>, sec <span class="op">=</span> <span class="st">"wt"</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="data-plots-16.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>pri <span class="op">=</span> <span class="st">"mpg"</span>, sec <span class="op">=</span> <span class="st">"cyl"</span>, ter <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>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-17.png" alt="" width="700" height="433"></span>
</code></pre></div>
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