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      <center><h1>Parallel chart with the MASS library</h1></center>
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      <center><p style="max-width: 600px; margin-top: 40px">This post explains how to build a <a href="parallel-plot.html">parallel coordinate chart</a> with <code>R</code> and the <code>MASS</code> library. Note that using ggplot2 is probably a better option.</p></center>
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         <a class="btn btn-secondary btn-xl text-uppercase js-scroll-trigger" href='https://www.data-to-viz.com/graph/parallel.html'>ggplot2 option</a>
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<h1 id="the-parcoord-function-of-the-mass-library.">The <code>parcoord()</code> function of the <code>MASS</code> library.</h1>
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<div class="col-md-6 col-sm-12 align-self-center">
<p>The <code>MASS</code> library provides the <code>parcoord()</code> function that automatically builds parallel coordinates chart.</p>
<p>The input dataset must be a data frame composed by numeric variables only. Each variable will be used to build one vertical axis of the chart.</p>
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<p><img src="93-parrallel-plot_files/figure-html/thecode-1.png" width="100%" /></p>
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<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="co"># You need the MASS library</span></a>
<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="kw">library</span>(MASS)</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"> </a>
<a class="sourceLine" id="cb1-4" data-line-number="4"><span class="co"># Vector color</span></a>
<a class="sourceLine" id="cb1-5" data-line-number="5">my_colors &lt;-<span class="st"> </span><span class="kw">colors</span>()[<span class="kw">as.numeric</span>(iris<span class="op">$</span>Species)<span class="op">*</span><span class="dv">11</span>]</a>
<a class="sourceLine" id="cb1-6" data-line-number="6"> </a>
<a class="sourceLine" id="cb1-7" data-line-number="7"><span class="co"># Make the graph !</span></a>
<a class="sourceLine" id="cb1-8" data-line-number="8"><span class="kw">parcoord</span>(iris[,<span class="kw">c</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">4</span>)] , <span class="dt">col=</span> my_colors  )</a></code></pre></div>
<h1 id="reorder">Reorder variables</h1>
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<p>It is important to find the best variable order in your parallel coordinates chart. To change it, just change the order in the input dataset.</p>
<p><u>Note</u>: the <code>RColorBrewer</code> package is used to generate a nice and reliable color palette.</p>
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<p><img src="93-parrallel-plot_files/figure-html/thecode2-1.png" width="100%" /></p>
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<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="co"># You need the MASS library</span></a>
<a class="sourceLine" id="cb2-2" data-line-number="2"><span class="kw">library</span>(MASS)</a>
<a class="sourceLine" id="cb2-3" data-line-number="3"> </a>
<a class="sourceLine" id="cb2-4" data-line-number="4"><span class="co"># Vector color</span></a>
<a class="sourceLine" id="cb2-5" data-line-number="5"><span class="kw">library</span>(RColorBrewer)</a>
<a class="sourceLine" id="cb2-6" data-line-number="6">palette &lt;-<span class="st"> </span><span class="kw">brewer.pal</span>(<span class="dv">3</span>, <span class="st">&quot;Set1&quot;</span>) </a>
<a class="sourceLine" id="cb2-7" data-line-number="7"> my_colors &lt;-<span class="st"> </span>palette[<span class="kw">as.numeric</span>(iris<span class="op">$</span>Species)]</a>
<a class="sourceLine" id="cb2-8" data-line-number="8"></a>
<a class="sourceLine" id="cb2-9" data-line-number="9"><span class="co"># Make the graph !</span></a>
<a class="sourceLine" id="cb2-10" data-line-number="10"><span class="kw">parcoord</span>(iris[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>,<span class="dv">2</span>)] , <span class="dt">col=</span> my_colors  )</a></code></pre></div>
<h1 id="highlight">Highlight a group</h1>
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<p>Data visualization aims to highlight a story in the data. If you are interested in a specific group, you can highlight it as follow:</p>
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<p><img src="93-parrallel-plot_files/figure-html/thecode3-1.png" width="100%" /></p>
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<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="co"># You need the MASS library</span></a>
<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="kw">library</span>(MASS)</a>
<a class="sourceLine" id="cb3-3" data-line-number="3"> </a>
<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="co"># Let&#39;s use the Iris dataset as an example</span></a>
<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="kw">data</span>(iris)</a>
<a class="sourceLine" id="cb3-6" data-line-number="6"> </a>
<a class="sourceLine" id="cb3-7" data-line-number="7"><span class="co"># Vector color: red if Setosa, grey otherwise.</span></a>
<a class="sourceLine" id="cb3-8" data-line-number="8">isSetosa &lt;-<span class="st"> </span><span class="kw">ifelse</span>(iris<span class="op">$</span>Species<span class="op">==</span><span class="st">&quot;setosa&quot;</span>,<span class="st">&quot;red&quot;</span>,<span class="st">&quot;grey&quot;</span>)</a>
<a class="sourceLine" id="cb3-9" data-line-number="9"></a>
<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co"># Make the graph !</span></a>
<a class="sourceLine" id="cb3-11" data-line-number="11"><span class="kw">parcoord</span>(iris[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>,<span class="dv">2</span>)] , <span class="dt">col=</span>isSetosa  )</a></code></pre></div>
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