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articles/AMR.html
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@ -204,7 +204,7 @@
website update since they are based on randomly created values and the
page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
Markdown</a>. However, the methodology remains unchanged. This page was
generated on 12 July 2023.</p>
generated on 13 July 2023.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -260,21 +260,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2023-07-12</td>
<td align="center">2023-07-13</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
</tr>
<tr class="even">
<td align="center">2023-07-12</td>
<td align="center">2023-07-13</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
</tr>
<tr class="odd">
<td align="center">2023-07-12</td>
<td align="center">2023-07-13</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>

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@ -402,19 +402,19 @@ names or codes, this would have worked exactly the same way:</p>
<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">my_TB_data</span><span class="op">)</span></span>
<span><span class="co">#&gt; rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></span>
<span><span class="co">#&gt; 1 S R S I R R</span></span>
<span><span class="co">#&gt; 2 S R I I S S</span></span>
<span><span class="co">#&gt; 3 R S R S R I</span></span>
<span><span class="co">#&gt; 4 S I I S S R</span></span>
<span><span class="co">#&gt; 5 S I I I R R</span></span>
<span><span class="co">#&gt; 6 I S S R I S</span></span>
<span><span class="co">#&gt; 1 R I R S R S</span></span>
<span><span class="co">#&gt; 2 R S I S S S</span></span>
<span><span class="co">#&gt; 3 R R I R I R</span></span>
<span><span class="co">#&gt; 4 I S I R R I</span></span>
<span><span class="co">#&gt; 5 R I R I R S</span></span>
<span><span class="co">#&gt; 6 I I I I S I</span></span>
<span><span class="co">#&gt; kanamycin</span></span>
<span><span class="co">#&gt; 1 I</span></span>
<span><span class="co">#&gt; 1 S</span></span>
<span><span class="co">#&gt; 2 I</span></span>
<span><span class="co">#&gt; 3 I</span></span>
<span><span class="co">#&gt; 3 S</span></span>
<span><span class="co">#&gt; 4 I</span></span>
<span><span class="co">#&gt; 5 I</span></span>
<span><span class="co">#&gt; 6 R</span></span></code></pre></div>
<span><span class="co">#&gt; 5 S</span></span>
<span><span class="co">#&gt; 6 I</span></span></code></pre></div>
<p>We can now add the interpretation of MDR-TB to our data set. You can
use:</p>
<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
@ -455,40 +455,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3194</td>
<td align="right">63.88%</td>
<td align="right">3194</td>
<td align="right">63.88%</td>
<td align="right">3216</td>
<td align="right">64.32%</td>
<td align="right">3216</td>
<td align="right">64.32%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">1012</td>
<td align="right">20.24%</td>
<td align="right">4206</td>
<td align="right">84.12%</td>
<td align="right">988</td>
<td align="right">19.76%</td>
<td align="right">4204</td>
<td align="right">84.08%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">448</td>
<td align="right">8.96%</td>
<td align="right">4654</td>
<td align="right">93.08%</td>
<td align="right">464</td>
<td align="right">9.28%</td>
<td align="right">4668</td>
<td align="right">93.36%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">247</td>
<td align="right">4.94%</td>
<td align="right">4901</td>
<td align="right">98.02%</td>
<td align="right">235</td>
<td align="right">4.70%</td>
<td align="right">4903</td>
<td align="right">98.06%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">99</td>
<td align="right">1.98%</td>
<td align="right">97</td>
<td align="right">1.94%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>

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@ -307,7 +307,7 @@ function:</p>
<span><span class="co">#&gt; [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales"</span></span>
<span><span class="co">#&gt; Importance of components:</span></span>
<span><span class="co">#&gt; PC1 PC2 PC3 PC4 PC5 PC6 PC7</span></span>
<span><span class="co">#&gt; Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 9.577e-17</span></span>
<span><span class="co">#&gt; Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 1.232e-16</span></span>
<span><span class="co">#&gt; Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00</span></span>
<span><span class="co">#&gt; Cumulative Proportion 0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00</span></span></code></pre></div>
<pre><code><span><span class="co">#&gt; Groups (n=4, named as 'order'):</span></span>

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@ -193,7 +193,7 @@
<main id="main" class="col-md-9"><div class="page-header">
<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
<h4 data-toc-skip class="date">12 July 2023</h4>
<h4 data-toc-skip class="date">13 July 2023</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
<div class="d-none name"><code>datasets.Rmd</code></div>

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@ -200,10 +200,10 @@
<p>Note: to keep the package size as small as possible, we only included
<p>Note: to keep the package size as small as possible, we only include
this vignette on CRAN. You can read more vignettes on our website about
how to conduct AMR data analysis, determine MDROs, find explanation of
EUCAST rules, and much more: <a href="https://msberends.github.io/AMR/articles/" class="uri">https://msberends.github.io/AMR/articles/</a>.</p>
EUCAST and CLSI breakpoints, and much more: <a href="https://msberends.github.io/AMR/articles/" class="uri">https://msberends.github.io/AMR/articles/</a>.</p>
<hr>
<p>The <code>AMR</code> package is a <a href="https://msberends.github.io/AMR/#copyright">free and
open-source</a> R package with <a href="https://en.wikipedia.org/wiki/Dependency_hell" class="external-link">zero