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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -168,7 +168,7 @@
<h4 data-toc-skip class="author">Dr. Matthijs
Berends</h4>
<h4 data-toc-skip class="date">17 December 2022</h4>
<h4 data-toc-skip class="date">19 December 2022</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/AMR.Rmd" class="external-link"><code>vignettes/AMR.Rmd</code></a></small>
<div class="d-none name"><code>AMR.Rmd</code></div>
@ -180,7 +180,7 @@ Berends</h4>
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 17 December 2022.</p>
generated on 19 December 2022.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -236,21 +236,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2022-12-17</td>
<td align="center">2022-12-19</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">2022-12-17</td>
<td align="center">2022-12-19</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">2022-12-17</td>
<td align="center">2022-12-19</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
@ -400,10 +400,10 @@ data set:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2011-12-20</td>
<td align="center">L9</td>
<td align="center">Hospital A</td>
<td align="center">Escherichia coli</td>
<td align="center">2015-05-10</td>
<td align="center">F2</td>
<td align="center">Hospital D</td>
<td align="center">Streptococcus pneumoniae</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
@ -411,9 +411,31 @@ data set:</p>
<td align="center">M</td>
</tr>
<tr class="even">
<td align="center">2010-07-06</td>
<td align="center">N2</td>
<td align="center">2012-08-03</td>
<td align="center">K4</td>
<td align="center">Hospital B</td>
<td align="center">Klebsiella pneumoniae</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">M</td>
</tr>
<tr class="odd">
<td align="center">2016-06-06</td>
<td align="center">J2</td>
<td align="center">Hospital D</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">M</td>
</tr>
<tr class="even">
<td align="center">2014-12-29</td>
<td align="center">E7</td>
<td align="center">Hospital A</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">S</td>
<td align="center">S</td>
@ -422,44 +444,22 @@ data set:</p>
<td align="center">M</td>
</tr>
<tr class="odd">
<td align="center">2014-06-14</td>
<td align="center">Z5</td>
<td align="center">2012-04-15</td>
<td align="center">F2</td>
<td align="center">Hospital B</td>
<td align="center">Streptococcus pneumoniae</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2014-12-21</td>
<td align="center">O3</td>
<td align="center">Hospital A</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
<td align="center">I</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="odd">
<td align="center">2013-04-17</td>
<td align="center">C4</td>
<td align="center">Hospital D</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
</tr>
<tr class="even">
<td align="center">2010-04-22</td>
<td align="center">N3</td>
<td align="center">Hospital D</td>
<td align="center">Klebsiella pneumoniae</td>
<td align="center">R</td>
<td align="center">2014-12-04</td>
<td align="center">K2</td>
<td align="center">Hospital A</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
@ -499,16 +499,16 @@ Longest: 1</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">M</td>
<td align="right">10,365</td>
<td align="right">51.83%</td>
<td align="right">10,365</td>
<td align="right">51.83%</td>
<td align="right">10,311</td>
<td align="right">51.56%</td>
<td align="right">10,311</td>
<td align="right">51.56%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">F</td>
<td align="right">9,635</td>
<td align="right">48.18%</td>
<td align="right">9,689</td>
<td align="right">48.45%</td>
<td align="right">20,000</td>
<td align="right">100.00%</td>
</tr>
@ -621,9 +621,9 @@ takes into account the antimicrobial susceptibility test results using
<span><span class="co"># Basing inclusion on all antimicrobial results, using a points threshold of</span></span>
<span><span class="co"># 2</span></span>
<span><span class="co"># Including isolates from ICU.</span></span>
<span><span class="co"># =&gt; Found 10,653 'phenotype-based' first isolates (53.3% of total where a</span></span>
<span><span class="co"># =&gt; Found 10,715 'phenotype-based' first isolates (53.6% of total where a</span></span>
<span><span class="co"># microbial ID was available)</span></span></code></pre></div>
<p>So only 53.3% is suitable for resistance analysis! We can now filter
<p>So only 53.6% is suitable for resistance analysis! We can now filter
on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code> function, also from the
<code>dplyr</code> package:</p>
<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
@ -634,7 +634,7 @@ on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html"
<code class="sourceCode R"><span><span class="va">data_1st</span> <span class="op">&lt;-</span> <span class="va">data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="../reference/first_isolate.html">filter_first_isolate</a></span><span class="op">(</span><span class="op">)</span></span>
<span><span class="co"># Including isolates from ICU.</span></span></code></pre></div>
<p>So we end up with 10,653 isolates for analysis. Now our data looks
<p>So we end up with 10,715 isolates for analysis. Now our data looks
like:</p>
<div class="sourceCode" id="cb17"><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">data_1st</span><span class="op">)</span></span></code></pre></div>
@ -673,14 +673,46 @@ like:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">1</td>
<td align="center">2015-05-10</td>
<td align="center">F2</td>
<td align="center">Hospital D</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="center">2010-07-06</td>
<td align="center">N2</td>
<td align="center">2012-08-03</td>
<td align="center">K4</td>
<td align="center">Hospital B</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="center">2016-06-06</td>
<td align="center">J2</td>
<td align="center">Hospital D</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
@ -689,29 +721,29 @@ like:</p>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">3</td>
<td align="center">2014-06-14</td>
<td align="center">Z5</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="left">6</td>
<td align="center">2014-12-04</td>
<td align="center">K2</td>
<td align="center">Hospital A</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">4</td>
<td align="center">2014-12-21</td>
<td align="center">O3</td>
<td align="left">9</td>
<td align="center">2012-06-24</td>
<td align="center">R1</td>
<td align="center">Hospital A</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
@ -721,26 +753,10 @@ like:</p>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">6</td>
<td align="center">2010-04-22</td>
<td align="center">N3</td>
<td align="center">Hospital D</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">7</td>
<td align="center">2010-09-06</td>
<td align="center">W7</td>
<td align="center">Hospital B</td>
<td align="left">10</td>
<td align="center">2013-11-23</td>
<td align="center">P7</td>
<td align="center">Hospital A</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">R</td>
<td align="center">R</td>
@ -752,22 +768,6 @@ like:</p>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">8</td>
<td align="center">2014-10-08</td>
<td align="center">I6</td>
<td align="center">Hospital B</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
</tbody>
</table>
<p>Time for the analysis!</p>
@ -801,8 +801,8 @@ readable:</p>
<code class="sourceCode R"><span><span class="va">data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://msberends.github.io/cleaner/reference/freq.html" class="external-link">freq</a></span><span class="op">(</span><span class="va">genus</span>, <span class="va">species</span><span class="op">)</span></span></code></pre></div>
<p><strong>Frequency table</strong></p>
<p>Class: character<br>
Length: 10,653<br>
Available: 10,653 (100%, NA: 0 = 0%)<br>
Length: 10,715<br>
Available: 10,715 (100%, NA: 0 = 0%)<br>
Unique: 4</p>
<p>Shortest: 16<br>
Longest: 24</p>
@ -827,33 +827,33 @@ Longest: 24</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Escherichia coli</td>
<td align="right">4,579</td>
<td align="right">42.98%</td>
<td align="right">4,579</td>
<td align="right">42.98%</td>
<td align="right">4,647</td>
<td align="right">43.37%</td>
<td align="right">4,647</td>
<td align="right">43.37%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Staphylococcus aureus</td>
<td align="right">2,787</td>
<td align="right">26.16%</td>
<td align="right">7,366</td>
<td align="right">69.14%</td>
<td align="right">2,745</td>
<td align="right">25.62%</td>
<td align="right">7,392</td>
<td align="right">68.99%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Streptococcus pneumoniae</td>
<td align="right">2,119</td>
<td align="right">19.89%</td>
<td align="right">9,485</td>
<td align="right">89.04%</td>
<td align="right">2,110</td>
<td align="right">19.69%</td>
<td align="right">9,502</td>
<td align="right">88.68%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Klebsiella pneumoniae</td>
<td align="right">1,168</td>
<td align="right">10.96%</td>
<td align="right">10,653</td>
<td align="right">1,213</td>
<td align="right">11.32%</td>
<td align="right">10,715</td>
<td align="right">100.00%</td>
</tr>
</tbody>
@ -902,90 +902,90 @@ antibiotic class they are in:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2014-06-14</td>
<td align="center">Z5</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2017-04-17</td>
<td align="center">K4</td>
<td align="center">Hospital A</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2015-12-19</td>
<td align="center">Y3</td>
<td align="center">Hospital C</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2011-05-11</td>
<td align="center">Y3</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2014-07-26</td>
<td align="center">Z10</td>
<td align="center">2015-05-10</td>
<td align="center">F2</td>
<td align="center">Hospital D</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2012-12-01</td>
<td align="center">D6</td>
<td align="center">2012-08-03</td>
<td align="center">K4</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2012-09-23</td>
<td align="center">W8</td>
<td align="center">Hospital D</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2017-07-17</td>
<td align="center">G9</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2016-09-24</td>
<td align="center">F9</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2017-08-15</td>
<td align="center">N6</td>
<td align="center">Hospital C</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
@ -1013,50 +1013,50 @@ different bug/drug combinations, you can use the
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">AMX</td>
<td align="center">2116</td>
<td align="center">135</td>
<td align="center">2328</td>
<td align="center">4579</td>
<td align="center">2225</td>
<td align="center">126</td>
<td align="center">2296</td>
<td align="center">4647</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">AMC</td>
<td align="center">3340</td>
<td align="center">172</td>
<td align="center">1067</td>
<td align="center">4579</td>
<td align="center">3426</td>
<td align="center">150</td>
<td align="center">1071</td>
<td align="center">4647</td>
</tr>
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">CIP</td>
<td align="center">3387</td>
<td align="center">3424</td>
<td align="center">0</td>
<td align="center">1192</td>
<td align="center">4579</td>
<td align="center">1223</td>
<td align="center">4647</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">GEN</td>
<td align="center">3983</td>
<td align="center">4059</td>
<td align="center">0</td>
<td align="center">596</td>
<td align="center">4579</td>
<td align="center">588</td>
<td align="center">4647</td>
</tr>
<tr class="odd">
<td align="center">K. pneumoniae</td>
<td align="center">AMX</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1168</td>
<td align="center">1168</td>
<td align="center">1213</td>
<td align="center">1213</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">AMC</td>
<td align="center">917</td>
<td align="center">35</td>
<td align="center">216</td>
<td align="center">1168</td>
<td align="center">953</td>
<td align="center">49</td>
<td align="center">211</td>
<td align="center">1213</td>
</tr>
</tbody>
</table>
@ -1078,34 +1078,34 @@ different bug/drug combinations, you can use the
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">GEN</td>
<td align="center">3983</td>
<td align="center">4059</td>
<td align="center">0</td>
<td align="center">596</td>
<td align="center">4579</td>
<td align="center">588</td>
<td align="center">4647</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">GEN</td>
<td align="center">1066</td>
<td align="center">1098</td>
<td align="center">0</td>
<td align="center">102</td>
<td align="center">1168</td>
<td align="center">115</td>
<td align="center">1213</td>
</tr>
<tr class="odd">
<td align="center">S. aureus</td>
<td align="center">GEN</td>
<td align="center">2468</td>
<td align="center">2427</td>
<td align="center">0</td>
<td align="center">319</td>
<td align="center">2787</td>
<td align="center">318</td>
<td align="center">2745</td>
</tr>
<tr class="even">
<td align="center">S. pneumoniae</td>
<td align="center">GEN</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2119</td>
<td align="center">2119</td>
<td align="center">2110</td>
<td align="center">2110</td>
</tr>
</tbody>
</table>
@ -1137,7 +1137,7 @@ I (<code><a href="../reference/proportion.html">proportion_SI()</a></code>, equa
own:</p>
<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="../reference/proportion.html">resistance</a></span><span class="op">(</span><span class="va">AMX</span><span class="op">)</span></span>
<span><span class="co"># [1] 0.5518633</span></span></code></pre></div>
<span><span class="co"># [1] 0.545217</span></span></code></pre></div>
<p>Or can be used in conjunction with <code><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by()</a></code> and
<code><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise()</a></code>, both from the <code>dplyr</code> package:</p>
<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
@ -1152,19 +1152,19 @@ own:</p>
<tbody>
<tr class="odd">
<td align="center">Hospital A</td>
<td align="center">0.5650169</td>
<td align="center">0.5543512</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5469568</td>
<td align="center">0.5427041</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5635802</td>
<td align="center">0.5265432</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5314100</td>
<td align="center">0.5499765</td>
</tr>
</tbody>
</table>
@ -1189,23 +1189,23 @@ all isolates available for every group (i.e. values S, I or R):</p>
<tbody>
<tr class="odd">
<td align="center">Hospital A</td>
<td align="center">0.5650169</td>
<td align="center">3253</td>
<td align="center">0.5543512</td>
<td align="center">3229</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5469568</td>
<td align="center">3631</td>
<td align="center">0.5427041</td>
<td align="center">3735</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5635802</td>
<td align="center">0.5265432</td>
<td align="center">1620</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5314100</td>
<td align="center">2149</td>
<td align="center">0.5499765</td>
<td align="center">2131</td>
</tr>
</tbody>
</table>
@ -1230,27 +1230,27 @@ therapies very easily:</p>
<tbody>
<tr class="odd">
<td align="center">Escherichia</td>
<td align="center">0.7669797</td>
<td align="center">0.8698406</td>
<td align="center">0.9744486</td>
<td align="center">0.7695287</td>
<td align="center">0.8734668</td>
<td align="center">0.9771896</td>
</tr>
<tr class="even">
<td align="center">Klebsiella</td>
<td align="center">0.8150685</td>
<td align="center">0.9126712</td>
<td align="center">0.9845890</td>
<td align="center">0.8260511</td>
<td align="center">0.9051937</td>
<td align="center">0.9785655</td>
</tr>
<tr class="odd">
<td align="center">Staphylococcus</td>
<td align="center">0.7865088</td>
<td align="center">0.8855400</td>
<td align="center">0.9788303</td>
<td align="center">0.7865209</td>
<td align="center">0.8841530</td>
<td align="center">0.9759563</td>
</tr>
<tr class="even">
<td align="center">Streptococcus</td>
<td align="center">0.5304389</td>
<td align="center">0.5341232</td>
<td align="center">0.0000000</td>
<td align="center">0.5304389</td>
<td align="center">0.5341232</td>
</tr>
</tbody>
</table>
@ -1278,23 +1278,23 @@ classes, use a antibiotic class selector such as
<tbody>
<tr class="odd">
<td align="left">Hospital A</td>
<td align="right">56.5%</td>
<td align="right">27.3%</td>
<td align="right">55.4%</td>
<td align="right">26.4%</td>
</tr>
<tr class="even">
<td align="left">Hospital B</td>
<td align="right">54.7%</td>
<td align="right">54.3%</td>
<td align="right">27.0%</td>
</tr>
<tr class="odd">
<td align="left">Hospital C</td>
<td align="right">56.4%</td>
<td align="right">28.1%</td>
<td align="right">52.7%</td>
<td align="right">27.0%</td>
</tr>
<tr class="even">
<td align="left">Hospital D</td>
<td align="right">53.1%</td>
<td align="right">25.5%</td>
<td align="right">55.0%</td>
<td align="right">26.1%</td>
</tr>
</tbody>
</table>
@ -1410,16 +1410,18 @@ classes) <code>&lt;mic&gt;</code> and <code>&lt;disk&gt;</code>:</p>
<code class="sourceCode R"><span><span class="va">mic_values</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/random.html">random_mic</a></span><span class="op">(</span>size <span class="op">=</span> <span class="fl">100</span><span class="op">)</span></span>
<span><span class="va">mic_values</span></span>
<span><span class="co"># Class 'mic'</span></span>
<span><span class="co"># [1] 128 32 0.002 0.005 0.01 32 0.25 128 32 &gt;=256 </span></span>
<span><span class="co"># [11] 0.005 0.125 16 2 0.01 4 &gt;=256 4 0.01 0.001 </span></span>
<span><span class="co"># [21] 16 &gt;=256 32 0.25 16 0.001 128 0.001 8 0.0625</span></span>
<span><span class="co"># [31] 16 16 1 16 0.125 16 8 2 &gt;=256 2 </span></span>
<span><span class="co"># [41] 0.002 0.01 0.5 16 1 0.0625 0.01 0.025 0.002 0.0625</span></span>
<span><span class="co"># [51] 0.25 64 0.01 0.125 0.0625 0.005 0.0625 &gt;=256 0.0625 32 </span></span>
<span><span class="co"># [61] 1 0.002 0.125 32 0.002 128 0.01 8 0.25 8 </span></span>
<span><span class="co"># [71] 0.005 &gt;=256 2 0.01 32 4 &gt;=256 2 0.002 0.01 </span></span>
<span><span class="co"># [81] 1 16 0.025 16 4 0.5 32 32 64 0.25 </span></span>
<span><span class="co"># [91] 0.01 &gt;=256 0.01 16 0.025 16 1 0.005 0.25 0.025</span></span></code></pre></div>
<span><span class="co"># [1] 32 0.005 0.25 &lt;=0.001 128 0.005 16 1 128 </span></span>
<span><span class="co"># [10] 256 0.025 0.25 128 0.5 &lt;=0.001 &lt;=0.001 0.01 0.005 </span></span>
<span><span class="co"># [19] 0.005 0.025 0.0625 8 0.005 16 1 16 0.0625 </span></span>
<span><span class="co"># [28] 256 4 256 64 1 0.5 0.125 0.005 4 </span></span>
<span><span class="co"># [37] 2 32 0.002 0.0625 0.002 4 128 8 0.0625 </span></span>
<span><span class="co"># [46] 1 8 1 0.5 8 &lt;=0.001 0.0625 0.01 0.125 </span></span>
<span><span class="co"># [55] 0.01 4 &lt;=0.001 16 0.025 0.125 2 16 32 </span></span>
<span><span class="co"># [64] 0.025 2 0.01 0.125 0.025 8 2 0.01 2 </span></span>
<span><span class="co"># [73] 0.25 0.5 8 0.002 8 1 0.5 1 0.002 </span></span>
<span><span class="co"># [82] 2 0.005 &lt;=0.001 2 0.0625 1 4 0.25 32 </span></span>
<span><span class="co"># [91] 0.25 1 0.125 0.25 4 0.5 32 0.5 0.5 </span></span>
<span><span class="co"># [100] 0.025</span></span></code></pre></div>
<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="co"># base R:</span></span>
<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">mic_values</span><span class="op">)</span></span></code></pre></div>
@ -1453,10 +1455,10 @@ plotting:</p>
<code class="sourceCode R"><span><span class="va">disk_values</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/random.html">random_disk</a></span><span class="op">(</span>size <span class="op">=</span> <span class="fl">100</span>, mo <span class="op">=</span> <span class="st">"E. coli"</span>, ab <span class="op">=</span> <span class="st">"cipro"</span><span class="op">)</span></span>
<span><span class="va">disk_values</span></span>
<span><span class="co"># Class 'disk'</span></span>
<span><span class="co"># [1] 18 29 28 22 20 28 25 20 28 23 23 31 24 26 31 31 30 20 29 20 31 29 28 29 25</span></span>
<span><span class="co"># [26] 28 26 23 27 22 21 23 17 25 30 30 29 28 25 28 19 17 28 18 31 20 29 29 23 23</span></span>
<span><span class="co"># [51] 19 25 29 20 27 29 19 24 22 24 31 22 25 29 18 31 17 23 26 19 24 31 29 31 28</span></span>
<span><span class="co"># [76] 31 22 27 30 27 30 22 22 27 23 24 28 25 26 24 29 20 26 20 29 29 22 19 25 26</span></span></code></pre></div>
<span><span class="co"># [1] 19 31 23 24 26 26 27 23 21 24 17 27 19 30 24 17 17 17 25 31 22 31 26 24 29</span></span>
<span><span class="co"># [26] 31 22 25 28 28 23 19 19 22 29 29 21 21 17 22 27 21 18 25 30 18 21 18 21 18</span></span>
<span><span class="co"># [51] 31 28 25 18 19 22 20 20 19 25 28 29 18 26 28 28 31 24 24 26 24 20 28 18 24</span></span>
<span><span class="co"># [76] 19 29 29 30 25 19 20 21 17 22 30 25 24 27 27 27 30 29 29 30 21 20 23 27 26</span></span></code></pre></div>
<div class="sourceCode" id="cb42"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="co"># base R:</span></span>
<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">disk_values</span>, mo <span class="op">=</span> <span class="st">"E. coli"</span>, ab <span class="op">=</span> <span class="st">"cipro"</span><span class="op">)</span></span></code></pre></div>

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@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

58
articles/MDR.html
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@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -375,18 +375,18 @@ 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"># rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></span>
<span><span class="co"># 1 R R I I S I</span></span>
<span><span class="co"># 2 S I S I R R</span></span>
<span><span class="co"># 3 R I S I R S</span></span>
<span><span class="co"># 4 I R S I I R</span></span>
<span><span class="co"># 5 R R R R S I</span></span>
<span><span class="co"># 6 R I S S I I</span></span>
<span><span class="co"># 1 I R R I R R</span></span>
<span><span class="co"># 2 I I I R S R</span></span>
<span><span class="co"># 3 I R S I I R</span></span>
<span><span class="co"># 4 I R R R S R</span></span>
<span><span class="co"># 5 S R S R I S</span></span>
<span><span class="co"># 6 R R S S R S</span></span>
<span><span class="co"># kanamycin</span></span>
<span><span class="co"># 1 S</span></span>
<span><span class="co"># 2 I</span></span>
<span><span class="co"># 3 R</span></span>
<span><span class="co"># 1 R</span></span>
<span><span class="co"># 2 R</span></span>
<span><span class="co"># 3 S</span></span>
<span><span class="co"># 4 I</span></span>
<span><span class="co"># 5 S</span></span>
<span><span class="co"># 5 R</span></span>
<span><span class="co"># 6 R</span></span></code></pre></div>
<p>We can now add the interpretation of MDR-TB to our data set. You can
use:</p>
@ -428,40 +428,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3211</td>
<td align="right">64.22%</td>
<td align="right">3211</td>
<td align="right">64.22%</td>
<td align="right">3234</td>
<td align="right">64.68%</td>
<td align="right">3234</td>
<td align="right">64.68%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">993</td>
<td align="right">19.86%</td>
<td align="right">4204</td>
<td align="right">84.08%</td>
<td align="right">973</td>
<td align="right">19.46%</td>
<td align="right">4207</td>
<td align="right">84.14%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">431</td>
<td align="right">8.62%</td>
<td align="right">4635</td>
<td align="right">92.70%</td>
<td align="right">414</td>
<td align="right">8.28%</td>
<td align="right">4621</td>
<td align="right">92.42%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">243</td>
<td align="right">4.86%</td>
<td align="right">4878</td>
<td align="right">97.56%</td>
<td align="right">284</td>
<td align="right">5.68%</td>
<td align="right">4905</td>
<td align="right">98.10%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">122</td>
<td align="right">2.44%</td>
<td align="right">95</td>
<td align="right">1.90%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>

2
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@ -38,7 +38,7 @@
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@ -38,7 +38,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -168,7 +168,7 @@
<h4 data-toc-skip class="author">Dr. Matthijs
Berends</h4>
<h4 data-toc-skip class="date">17 December 2022</h4>
<h4 data-toc-skip class="date">19 December 2022</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/SPSS.Rmd" class="external-link"><code>vignettes/SPSS.Rmd</code></a></small>
<div class="d-none name"><code>SPSS.Rmd</code></div>
@ -247,7 +247,7 @@ data using a custom made website. The webdesign knowledge needed
<li>
<p><strong>R has a huge community.</strong></p>
<p>Many R users just ask questions on websites like <a href="https://stackoverflow.com" class="external-link">StackOverflow.com</a>, the largest
online community for programmers. At the time of writing, <a href="https://stackoverflow.com/questions/tagged/r?sort=votes" class="external-link">474,212
online community for programmers. At the time of writing, <a href="https://stackoverflow.com/questions/tagged/r?sort=votes" class="external-link">475,076
R-related questions</a> have already been asked on this platform (that
covers questions and answers for any programming language). In my own
experience, most questions are answered within a couple of

2
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@ -38,7 +38,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -38,7 +38,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -166,7 +166,7 @@
<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">17 December 2022</h4>
<h4 data-toc-skip class="date">19 December 2022</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>
@ -196,7 +196,7 @@ column names:<br><em>mo</em>, <em>fullname</em>, <em>status</em>, <em>kingdom</e
<em>gbif_renamed_to</em>, <em>prevalence</em> and <em>snomed</em>.</p>
<p>This data set is in R available as <code>microorganisms</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 17 December 2022 13:31:33 UTC. Find more info
<p>It was last updated on 19 December 2022 14:32:41 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@ -219,7 +219,7 @@ Parquet file</a> (2.6 MB)<br>
data file</a> (50.9 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sav" class="external-link">IBM
SPSS Statistics data file</a> (16.8 MB)<br>
SPSS Statistics data file</a> (16.9 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.dta" class="external-link">Stata
DTA file</a> (47.1 MB)</li>
@ -357,7 +357,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center">3221780</td>
<td align="center">11158430</td>
<td align="center"></td>
<td align="center">1</td>
<td align="center">2.5</td>
<td align="center">407310004, 407251000, 407281008, …</td>
</tr>
<tr class="even">
@ -381,7 +381,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center">1</td>
<td align="center">1.0</td>
<td align="center"></td>
</tr>
<tr class="odd">
@ -405,7 +405,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center">5427575</td>
<td align="center">3221780</td>
<td align="center"></td>
<td align="center">1</td>
<td align="center">1.0</td>
<td align="center">419388003</td>
</tr>
<tr class="even">
@ -429,7 +429,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center">1</td>
<td align="center">2.5</td>
<td align="center"></td>
</tr>
<tr class="odd">
@ -453,7 +453,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center">11286021</td>
<td align="center">3221780</td>
<td align="center"></td>
<td align="center">1</td>
<td align="center">1.0</td>
<td align="center">1095001000112106, 715307006, 737528008, …</td>
</tr>
<tr class="even">
@ -477,7 +477,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center">10862979</td>
<td align="center">3221780</td>
<td align="center"></td>
<td align="center">1</td>
<td align="center">2.5</td>
<td align="center"></td>
</tr>
</tbody>

2
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -132,12 +132,12 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="1.8.2.9064" id="amr-1829064">AMR 1.8.2.9064<a class="anchor" aria-label="anchor" href="#amr-1829064"></a></h2>
<h2 class="pkg-version" data-toc-text="1.8.2.9065" id="amr-1829065">AMR 1.8.2.9065<a class="anchor" aria-label="anchor" href="#amr-1829065"></a></h2>
<p><em>(this beta version will eventually become v2.0! We’re happy to reach a new major milestone soon!)</em></p>
<p>This is a new major release of the AMR package, with great new additions but also some breaking changes for current users. These are all listed below.</p>
<p><strong><a href="https://en.wikipedia.org/wiki/TL;DR" class="external-link">TL;DR</a></strong></p>
<ul><li>Microbiological taxonomy (<code>microorganisms</code> data set) updated to 2022 and now based on LPSN and GBIF</li>
<li>Much increased algorithms to translate user input to valid taxonomy</li>
<li>Much increased algorithms to translate user input to valid taxonomy, e.g. by using <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">recent scientific work</a> about per-species human pathogenicity</li>
<li>Clinical breakpoints added for EUCAST 2022 and CLSI 2022</li>
<li>20 new antibiotics added and updated all DDDs and ATC codes</li>
<li>Extended support for antiviral agents (<code>antivirals</code> data set), with many new functions</li>
@ -146,20 +146,21 @@
</li>
<li>Many small bug fixes</li>
</ul><div class="section level3">
<h3 id="new-1-8-2-9064">New<a class="anchor" aria-label="anchor" href="#new-1-8-2-9064"></a></h3>
<h3 id="new-1-8-2-9065">New<a class="anchor" aria-label="anchor" href="#new-1-8-2-9065"></a></h3>
<div class="section level5">
<h5 id="interpretation-of-mic-and-disk-diffusion-values-1-8-2-9064">Interpretation of MIC and disk diffusion values<a class="anchor" aria-label="anchor" href="#interpretation-of-mic-and-disk-diffusion-values-1-8-2-9064"></a></h5>
<h5 id="interpretation-of-mic-and-disk-diffusion-values-1-8-2-9065">Interpretation of MIC and disk diffusion values<a class="anchor" aria-label="anchor" href="#interpretation-of-mic-and-disk-diffusion-values-1-8-2-9065"></a></h5>
<p>EUCAST 2022 and CLSI 2022 guidelines have been added for <code><a href="../reference/as.rsi.html">as.rsi()</a></code>. EUCAST 2022 (v12.0) is now the new default guideline for all MIC and disks diffusion interpretations, and for <code><a href="../reference/eucast_rules.html">eucast_rules()</a></code> to apply EUCAST Expert Rules. The default guideline (EUCAST) can now be changed with the new <code>AMR_guideline</code> option, such as: <code>options(AMR_guideline = "CLSI 2020")</code>.</p>
<p>Interpretation guidelines older than 10 years were removed, the oldest now included guidelines of EUCAST and CLSI are from 2013.</p>
</div>
<div class="section level5">
<h5 id="supported-languages-1-8-2-9064">Supported languages<a class="anchor" aria-label="anchor" href="#supported-languages-1-8-2-9064"></a></h5>
<h5 id="supported-languages-1-8-2-9065">Supported languages<a class="anchor" aria-label="anchor" href="#supported-languages-1-8-2-9065"></a></h5>
<p>We added support for the following languages: Chinese, Greek, Japanese, Polish, Turkish and Ukrainian. All antibiotic names are now available in these languages, and the AMR package will automatically determine a supported language based on the user system language.</p>
<p>We are very grateful for the valuable input by our colleagues from other countries. The <code>AMR</code> package is now available in 16 languages and according to download stats used in almost all countries in the world!</p>
</div>
<div class="section level5">
<h5 id="microbiological-taxonomy-1-8-2-9064">Microbiological taxonomy<a class="anchor" aria-label="anchor" href="#microbiological-taxonomy-1-8-2-9064"></a></h5>
<h5 id="microbiological-taxonomy-1-8-2-9065">Microbiological taxonomy<a class="anchor" aria-label="anchor" href="#microbiological-taxonomy-1-8-2-9065"></a></h5>
<p>The <code>microorganisms</code> no longer relies on the Catalogue of Life, but on the List of Prokaryotic names with Standing in Nomenclature (LPSN) and is supplemented with the ‘backbone taxonomy’ from the Global Biodiversity Information Facility (GBIF). The structure of this data set has changed to include separate LPSN and GBIF identifiers. Almost all previous MO codes were retained. It contains over 1,400 taxonomic names from 2022.</p>
<p>We previously relied on our own experience to categorise species into pathogenic groups, but we were very happy to encounter the very recent work of Bartlett <em>et al.</em> (2022, DOI <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">10.1099/mic.0.001269</a>) who extensively studied medical-scientific literature to categorise all bacterial species into groups. See <code><a href="../reference/mo_matching_score.html">mo_matching_score()</a></code> on how their work was incorporated into the <code>prevalence</code> column of the <code>microorganisms</code> data set. Using their results, the <code><a href="../reference/as.mo.html">as.mo()</a></code> and all <code>mo_*()</code> functions are now much better capable of converting user input to valid taxonomic records.</p>
<p>We also made the following changes regarding the included taxonomy or microorganisms functions:</p>
<ul><li>Updated full microbiological taxonomy according to the latest daily LPSN data set (December 2022) and latest yearly GBIF taxonomy backbone (November 2022)</li>
<li>Support for all 1,515 city-like serovars of <em>Salmonella</em>, such as <em>Salmonella</em> Goldcoast. Formally, these are serovars belonging to the <em>S. enterica</em> species, but they are reported with only the name of the genus and the city. For this reason, the serovars are in the <code>subspecies</code> column of the <code>microorganisms</code> data set and “enterica” is in the <code>species</code> column, but the full name does not contain the species name (<em>enterica</em>).</li>
@ -180,7 +181,7 @@
<li>The <code>microorganisms.old</code> data set was removed, and all previously accepted names are now included in the <code>microorganisms</code> data set. A new column <code>status</code> contains <code>"accepted"</code> for currently accepted names and <code>"synonym"</code> for taxonomic synonyms; currently invalid names. All previously accepted names now have a microorganisms ID and - if available - an LPSN, GBIF and SNOMED CT identifier.</li>
</ul></div>
<div class="section level5">
<h5 id="antibiotic-agents-and-selectors-1-8-2-9064">Antibiotic agents and selectors<a class="anchor" aria-label="anchor" href="#antibiotic-agents-and-selectors-1-8-2-9064"></a></h5>
<h5 id="antibiotic-agents-and-selectors-1-8-2-9065">Antibiotic agents and selectors<a class="anchor" aria-label="anchor" href="#antibiotic-agents-and-selectors-1-8-2-9065"></a></h5>
<p>The new function <code><a href="../reference/add_custom_antimicrobials.html">add_custom_antimicrobials()</a></code> allows users to add custom antimicrobial codes and names to the <code>AMR</code> package.</p>
<p>The <code>antibiotics</code> data set was greatly updated:</p>
<ul><li>The following 20 antibiotics have been added (also includes the <a href="https://www.whocc.no/atc_ddd_index/?code=J01RA&amp;showdescription=no" class="external-link">new J01RA ATC group</a>): azithromycin/fluconazole/secnidazole (AFC), cefepime/amikacin (CFA), cefixime/ornidazole (CEO), ceftriaxone/beta-lactamase inhibitor (CEB), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), furazidin (FUR), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), lascufloxacin (LSC), levofloxacin/ornidazole (LEO), nemonoxacin (NEM), norfloxacin/metronidazole (NME), norfloxacin/tinidazole (NTI), ofloxacin/ornidazole (OOR), oteseconazole (OTE), rifampicin/ethambutol/isoniazid (REI), sarecycline (SRC), tetracycline/oleandomycin (TOL), and thioacetazone (TAT)</li>
@ -192,14 +193,14 @@
</ul><p>Also, we added support for using antibiotic selectors in scoped <code>dplyr</code> verbs (with or without using <code><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars()</a></code>), such as in: <code>... %&gt;% summarise_at(aminoglycosides(), resistance)</code>, please see <code><a href="../reference/proportion.html">resistance()</a></code> for examples.</p>
</div>
<div class="section level5">
<h5 id="antiviral-agents-1-8-2-9064">Antiviral agents<a class="anchor" aria-label="anchor" href="#antiviral-agents-1-8-2-9064"></a></h5>
<h5 id="antiviral-agents-1-8-2-9065">Antiviral agents<a class="anchor" aria-label="anchor" href="#antiviral-agents-1-8-2-9065"></a></h5>
<p>We now added extensive support for antiviral agents! For the first time, the <code>AMR</code> package has extensive support for antiviral drugs and to work with their names, codes and other data in any way.</p>
<ul><li>The <code>antivirals</code> data set has been extended with 18 new drugs (also from the <a href="https://www.whocc.no/atc_ddd_index/?code=J05AJ&amp;showdescription=no" class="external-link">new J05AJ ATC group</a>) and now also contains antiviral identifiers and LOINC codes</li>
<li>A new data type <code>av</code> (<em>antivirals</em>) has been added, which is functionally similar to <code>ab</code> for antibiotics</li>
<li>Functions <code><a href="../reference/as.av.html">as.av()</a></code>, <code><a href="../reference/av_property.html">av_name()</a></code>, <code><a href="../reference/av_property.html">av_atc()</a></code>, <code><a href="../reference/av_property.html">av_synonyms()</a></code>, <code><a href="../reference/av_from_text.html">av_from_text()</a></code> have all been added as siblings to their <code>ab_*()</code> equivalents</li>
</ul></div>
<div class="section level5">
<h5 id="other-new-functions-1-8-2-9064">Other new functions<a class="anchor" aria-label="anchor" href="#other-new-functions-1-8-2-9064"></a></h5>
<h5 id="other-new-functions-1-8-2-9065">Other new functions<a class="anchor" aria-label="anchor" href="#other-new-functions-1-8-2-9065"></a></h5>
<ul><li>Function <code><a href="../reference/proportion.html">rsi_confidence_interval()</a></code> to add confidence intervals in AMR calculation. This is now also included in <code><a href="../reference/proportion.html">rsi_df()</a></code> and <code><a href="../reference/proportion.html">proportion_df()</a></code>.</li>
<li>Function <code><a href="../reference/mean_amr_distance.html">mean_amr_distance()</a></code> to calculate the mean AMR distance. The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand.</li>
<li>Function <code><a href="../reference/as.rsi.html">rsi_interpretation_history()</a></code> to view the history of previous runs of <code><a href="../reference/as.rsi.html">as.rsi()</a></code>. This returns a ‘logbook’ with the selected guideline, reference table and specific interpretation of each row in a data set on which <code><a href="../reference/as.rsi.html">as.rsi()</a></code> was run.</li>
@ -208,7 +209,7 @@
</ul></div>
</div>
<div class="section level3">
<h3 id="changes-1-8-2-9064">Changes<a class="anchor" aria-label="anchor" href="#changes-1-8-2-9064"></a></h3>
<h3 id="changes-1-8-2-9065">Changes<a class="anchor" aria-label="anchor" href="#changes-1-8-2-9065"></a></h3>
<ul><li>Argument <code>combine_IR</code> has been removed from this package (affecting functions <code><a href="../reference/count.html">count_df()</a></code>, <code><a href="../reference/proportion.html">proportion_df()</a></code>, and <code><a href="../reference/proportion.html">rsi_df()</a></code> and some plotting functions), since it was replaced with <code>combine_SI</code> three years ago</li>
<li>Using <code>units</code> in <code>ab_ddd(..., units = "...")</code> had been deprecated for some time and is now not supported anymore. Use <code><a href="../reference/ab_property.html">ab_ddd_units()</a></code> instead.</li>
<li>Support for <code>data.frame</code>-enhancing R packages, more specifically: <code><a href="https://Rdatatable.gitlab.io/data.table/reference/data.table.html" class="external-link">data.table::data.table</a></code>, <code><a href="https://rdrr.io/pkg/janitor/man/tabyl.html" class="external-link">janitor::tabyl</a></code>, <code><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble::tibble</a></code>, and <code><a href="https://tsibble.tidyverts.org/reference/tsibble.html" class="external-link">tsibble::tsibble</a></code>. AMR package functions that have a data set as output (such as <code><a href="../reference/proportion.html">rsi_df()</a></code> and <code><a href="../reference/bug_drug_combinations.html">bug_drug_combinations()</a></code>), will now return the same data type as the input.</li>
@ -247,7 +248,7 @@
<li>Cleaning columns with <code><a href="../reference/as.rsi.html">as.rsi()</a></code>, <code><a href="../reference/as.mic.html">as.mic()</a></code>, or <code><a href="../reference/as.disk.html">as.disk()</a></code> will now show the column name in the warning for invalid results</li>
</ul></div>
<div class="section level3">
<h3 id="other-1-8-2-9064">Other<a class="anchor" aria-label="anchor" href="#other-1-8-2-9064"></a></h3>
<h3 id="other-1-8-2-9065">Other<a class="anchor" aria-label="anchor" href="#other-1-8-2-9065"></a></h3>
<ul><li>New website to make use of the new Bootstrap 5 and pkgdown 2.0. The website now contains results for all examples and will be automatically regenerated with every change to our repository, using GitHub Actions</li>
<li>Added Peter Dutey-Magni, Dmytro Mykhailenko, Anton Mymrikov, and Jonas Salm as contributors, to thank them for their valuable input</li>
<li>All R and Rmd files in this project are now styled using the <code>styler</code> package</li>

2
pkgdown.yml
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@ -11,7 +11,7 @@ articles:
datasets: datasets.html
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
last_built: 2022-12-17T13:36Z
last_built: 2022-12-19T14:37Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles

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reference/AMR-deprecated.html
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@ -10,7 +10,7 @@
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@ -62,7 +62,7 @@ Principal component analysis for AMR
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reference/age.html
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@ -10,7 +10,7 @@
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@ -195,16 +195,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1950-07-14 72 72.42740 49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1940-03-20 82 82.74521 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1991-09-23 31 31.23288 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1963-09-12 59 59.26301 36</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1945-06-03 77 77.53973 54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1956-08-06 66 66.36438 43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1967-11-28 55 55.05205 32</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1993-08-31 29 29.29589 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1947-05-01 75 75.63014 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1961-04-19 61 61.66301 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1985-12-06 37 37.03562 14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1937-08-12 85 85.35342 62</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1989-05-26 33 33.56712 10</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1959-05-27 63 63.56438 40</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1993-06-30 29 29.47123 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1944-03-18 78 78.75616 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1961-02-21 61 61.82466 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1958-12-02 64 64.04658 41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1974-05-30 48 48.55616 25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1939-03-14 83 83.76712 60</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>

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@ -10,7 +10,7 @@
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@ -274,6 +274,7 @@
<li><p>GBIF Secretariat (2022). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on 11 December, 2022.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Bartlett A <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ol></div>
<div class="section level2">
<h2 id="matching-score-for-microorganisms">Matching Score for Microorganisms<a class="anchor" aria-label="anchor" href="#matching-score-for-microorganisms"></a></h2>
@ -287,12 +288,14 @@
<li><p><i>lev</i> is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change <i>x</i> into <i>n</i>;</p></li>
<li><p><i>p<sub>n</sub></i> is the human pathogenic prevalence group of <i>n</i>, as described below;</p></li>
<li><p><i>k<sub>n</sub></i> is the taxonomic kingdom of <i>n</i>, set as Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5.</p></li>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence:</p>
<p><strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales.</p>
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Pseudomonadota (previously named Proteobacteria), Bacillota (previously named Firmicutes), Actinomycetota (previously named Actinobacteria) or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Christensenella</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any <em>other</em> bacterial genus, species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, also has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Pediculus</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em> or <em>Wuchereria</em>.</p></li>
<li><p>All other records have <code>prevalence = 3.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.095\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>

22
reference/as.rsi.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -506,16 +506,16 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 50 × 12</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_input ab_gu…¹ mo_in…² mo_guideline guide…³</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2022-12-17 <span style="color: #949494;">13:36:22</span> 1 ampicillin AMP Strep … B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2022-12-17 <span style="color: #949494;">13:36:22</span> 1 AMP AMP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-12-17 <span style="color: #949494;">13:36:23</span> 1 CIP CIP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-12-17 <span style="color: #949494;">13:36:23</span> 1 GEN GEN Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-12-17 <span style="color: #949494;">13:36:23</span> 1 TOB TOB Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 2 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 3 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 4 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2022-12-19 <span style="color: #949494;">14:37:19</span> 1 ampicillin AMP Strep … B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 AMP AMP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 CIP CIP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 GEN GEN Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 TOB TOB Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-12-19 <span style="color: #949494;">14:37:21</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 2 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 3 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 4 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 40 more rows, 5 more variables: ref_table &lt;chr&gt;, method &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># input &lt;dbl&gt;, outcome &lt;rsi&gt;, breakpoint_S_R &lt;chr&gt;, and abbreviated variable</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># names ¹​ab_guideline, ²​mo_input, ³​guideline</span></span>

2
reference/atc_online.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/av_from_text.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/av_property.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/availability.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/bug_drug_combinations.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/count.html
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@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
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2
reference/custom_eucast_rules.html
View File

@ -10,7 +10,7 @@
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2
reference/dosage.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/eucast_rules.html
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@ -12,7 +12,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/example_isolates.html
View File

@ -10,7 +10,7 @@
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2
reference/example_isolates_unclean.html
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@ -10,7 +10,7 @@
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2
reference/first_isolate.html
View File

@ -12,7 +12,7 @@
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2
reference/g.test.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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141
reference/get_episode.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -182,40 +182,41 @@
<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="va">example_isolates</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="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq_len</a></span><span class="op">(</span><span class="fl">2000</span><span class="op">)</span>, size <span class="op">=</span> <span class="fl">200</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># indices</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 53 49 6 33 7 22 60 55 14 11 43 17 48 43 60 28 15 12 27 46 4 24 22 19 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 48 41 21 48 40 46 26 39 54 43 35 2 14 31 13 41 61 42 1 23 49 45 40 60 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 13 9 48 13 2 58 38 32 55 7 28 43 1 46 44 53 57 6 20 61 30 55 34 6 5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 25 52 29 51 8 25 45 53 45 44 4 50 8 27 22 18 26 53 17 58 16 62 46 59 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 28 2 48 19 9 17 62 30 20 34 29 50 42 11 46 42 6 14 37 41 10 15 59 41 53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 6 52 1 36 63 62 14 49 47 26 4 59 35 46 18 21 35 27 53 29 11 27 36 57 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 18 10 27 35 24 49 13 9 46 37 54 7 60 47 47 49 55 63 12 60 61 11 59 37 7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 55 36 20 49 3 37 40 62 2 3 8 24 59 51 9 54 56 50 45 36 38 7 30 41 22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 44 41 9 51 35 64 60 49 41 26 55 1 37 2 46 54 2 62 58 25 57 38 1 50 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 48 11 9 24 55 40 57 60 52 33 3 11 63 51 47 36 59 57 14 57 32 60 13 54 26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 20 32 7 39 48 22 1 52 27 30 6 15 2 64 33 8 21 2 47 41 19 31 43 64 43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 6 42 14 42 36 8 42 34 43 5 38 57 18 46 37 27 18 60 2 33 23 14 18 42 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 56 29 12 16 55 60 27 3 15 46 57 63 27 6 18 64 3 59 8 45 49 9 52 13 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 6 21 16 64 12 62 59 38 61 27 11 63 2 9 49 47 52 22 62 53 20 5 1 9 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 10 20 20 18 20 11 5 38 43 18 22 50 44 59 14 31 62 6 10 60 14 43 59 13 42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 15 28 60 13 4 45 58 45 61 12 1 55 37 31 46 17 63 21 50 41 1 38 32 7 51</span>
<span class="r-in"><span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># TRUE/FALSE</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] TRUE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># filter on results from the third 60-day episode only, using base R</span></span></span>
<span class="r-in"><span><span class="va">df</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/which.html" class="external-link">which</a></span><span class="op">(</span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, <span class="fl">60</span><span class="op">)</span> <span class="op">==</span> <span class="fl">3</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 2 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> date patient age gender ward mo PEN OXA FLC AMX </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-09-08 B8CB09 60 F Outpatie… B_STPHY_CONS S NA S NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2002-08-19 A49852 70 M Clinical B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> date patient age gender ward mo PEN OXA FLC AMX </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-08-14 785317 51 F ICU B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2002-07-30 218912 76 F ICU B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2002-07-24 F35553 51 M ICU B_STPHY_AURS R NA S R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 36 more variables: AMC &lt;rsi&gt;, AMP &lt;rsi&gt;, TZP &lt;rsi&gt;, CZO &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># FEP &lt;rsi&gt;, CXM &lt;rsi&gt;, FOX &lt;rsi&gt;, CTX &lt;rsi&gt;, CAZ &lt;rsi&gt;, CRO &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># GEN &lt;rsi&gt;, TOB &lt;rsi&gt;, AMK &lt;rsi&gt;, KAN &lt;rsi&gt;, TMP &lt;rsi&gt;, SXT &lt;rsi&gt;,</span></span>
@ -251,16 +252,16 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: condition [3]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient date condition new_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 074321 2015-09-20 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 483195 2014-12-08 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 065187 2003-05-26 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 317826 2010-05-26 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B82C75 2003-06-15 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 579075 2007-06-01 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 422833 2017-03-21 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 7D5503 2016-06-01 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 838694 2005-09-13 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 071099 2005-01-11 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> C25552 2012-11-22 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 76F141 2012-05-04 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 1B144C 2004-05-10 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0C0688 2014-09-05 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 725779 2010-09-04 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 527306 2017-12-12 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E68281 2017-03-02 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> A96395 2014-03-11 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 686445 2012-05-24 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 195736 2008-08-29 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@ -272,19 +273,19 @@
<span class="r-in"><span> <span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 200 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [180]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> ICU 2015-09-20 074321 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2014-12-08 483195 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> ICU 2003-05-26 065187 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> ICU 2010-05-26 317826 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2003-06-15 B82C75 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2007-06-01 579075 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> ICU 2017-03-21 422833 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2016-06-01 7D5503 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2005-09-13 838694 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2005-01-11 071099 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [182]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Outpatient 2012-11-22 C25552 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2012-05-04 76F141 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Outpatient 2004-05-10 1B144C 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2014-09-05 0C0688 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Outpatient 2010-09-04 725779 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> ICU 2017-12-12 527306 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2017-03-02 E68281 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2014-03-11 A96395 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2012-05-24 686445 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2008-08-29 195736 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@ -299,9 +300,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward n_patients n_episodes_365 n_episodes_60 n_episodes_30</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&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;int&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 119 15 52 79</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 48 14 32 39</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 13 7 10 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 111 14 51 73</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 61 13 36 42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 10 6 9 9</span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="co"># grouping on patients and microorganisms leads to the same</span></span></span>
@ -331,19 +332,19 @@
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_data.html" class="external-link">group_vars</a></span><span class="op">(</span><span class="va">.</span><span class="op">)</span>, <span class="va">flag_episode</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 200 × 4</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [188]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 074321 B_STPHY_HMLY ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 483195 B_STPHY_HMNS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 065187 B_STPHY_AURS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 317826 B_STPHY_CONS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B82C75 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 579075 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 422833 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 7D5503 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 838694 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 071099 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [193]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> C25552 B_STPHY_CONS Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 76F141 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 1B144C B_STRPT_PNMN Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0C0688 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 725779 B_STRPT_PNMN Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 527306 B_STRPT_SLVR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E68281 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> A96395 B_ENTRC_FCLS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 686445 B_PROTS_MRBL Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 195736 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>

2
reference/ggplot_pca.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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2
reference/index.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/key_antimicrobials.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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6
reference/kurtosis.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -172,9 +172,9 @@
<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">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.896262</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 3.087935</span>
<span class="r-in"><span><span class="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span>, excess <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.02220605</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.05751308</span>
</code></pre></div>
</div>
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2
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2
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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78
reference/mean_amr_distance.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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@ -200,10 +200,10 @@
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">x</span> <span class="op">&lt;-</span> <span class="fu"><a href="random.html">random_mic</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">x</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.125 0.025 0.25 2 0.01 1 0.002 64 4 &gt;=128</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.025 0.005 0.01 4 4 8 1 &gt;=16 0.001 0.125</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.3838663 -0.8280016 -0.1925876 0.3812484 -1.0808583 0.1899697</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -1.5249937 1.3376418 0.5725271 1.5289205</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.6319520 -1.0956588 -0.8959511 0.8302930 0.8302930 1.0300007</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.4308777 1.2297083 -1.5593656 -0.1682452</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">y</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></span></span>
<span class="r-in"><span> id <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">10</span><span class="op">]</span>,</span></span>
@ -213,38 +213,38 @@
<span class="r-in"><span> tobr <span class="op">=</span> <span class="fu"><a href="random.html">random_mic</a></span><span class="op">(</span><span class="fl">10</span>, ab <span class="op">=</span> <span class="st">"tobr"</span>, mo <span class="op">=</span> <span class="st">"Escherichia coli"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">y</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 2 2 &lt;=1 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 0.5 4 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 2 2 0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 1 &lt;=1 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.025 2 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 0.5 2 &lt;=0.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 1 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 0.5 4 0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.0625 &lt;=1 &lt;=0.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 1 0.25 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 1 1 1 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 2 8 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 1 0.5 8 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 1 1 16 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 0.5 4 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 1 1 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 &lt;=0.125 16 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 16 0.25 8 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 1 8 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 4 1 1 16</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent",</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "id" and "tobr"</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>NAs introduced by coercion</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.21703198 0.23337558 0.25599565 0.09765543 -0.57494493 -0.29870099</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.85619568 0.29863042 -0.94854914 -0.13668968</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.55258772 -0.05081832 -0.65116115 -0.10941895 0.20887247 0.11308804</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.23423260 0.29283323 0.40187176 0.11308804</span>
<span class="r-in"><span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span> <span class="op">&lt;-</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span>, <span class="fu">where</span><span class="op">(</span><span class="va">is.mic</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-in"><span><span class="va">y</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/order.html" class="external-link">order</a></span><span class="op">(</span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.0625 &lt;=1 &lt;=0.25 -0.94854914</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.025 2 1 -0.57494493</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 0.5 2 &lt;=0.25 -0.29870099</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 1 0.25 4 2 -0.13668968</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 1 &lt;=1 2 0.09765543</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 2 2 &lt;=1 16 0.21703198</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 0.5 4 8 0.23337558</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 2 2 0.5 0.25599565</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 0.5 4 0.5 0.29863042</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 1 4 2 0.85619568</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 1 0.5 8 1 -0.65116115</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 1 1 1 4 -0.55258772</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 1 1 16 2 -0.10941895</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 2 8 2 -0.05081832</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 1 1 16 0.11308804</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 4 1 1 16 0.11308804</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 0.5 4 16 0.20887247</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 &lt;=0.125 16 8 0.23423260</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 16 0.25 8 8 0.29283323</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 1 8 8 0.40187176</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">y</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@ -256,17 +256,17 @@
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance check_id_C</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C 8 2 2 0.5 0.25599565 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 0.5 4 8 0.23337558 0.02262008</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 A 2 2 &lt;=1 16 0.21703198 0.03896367</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 H 8 0.5 4 0.5 0.29863042 0.04263477</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 D 8 1 &lt;=1 2 0.09765543 0.15834022</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 J 1 0.25 4 2 -0.13668968 0.39268533</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 F 4 0.5 2 &lt;=0.25 -0.29870099 0.55469664</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 G 16 1 4 2 0.85619568 0.60020002</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 E 4 &lt;=0.025 2 1 -0.57494493 0.83094058</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 I 4 0.0625 &lt;=1 &lt;=0.25 -0.94854914 1.20454480</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance check_id_C</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C 1 0.5 8 1 -0.65116115 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 A 1 1 1 4 -0.55258772 0.09857343</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 D 1 1 16 2 -0.10941895 0.54174220</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 B 1 2 8 2 -0.05081832 0.60034283</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 F 4 1 1 16 0.11308804 0.76424920</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 J 4 1 1 16 0.11308804 0.76424920</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 E 4 0.5 4 16 0.20887247 0.86003362</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 G 16 &lt;=0.125 16 8 0.23423260 0.88539375</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 H 16 0.25 8 8 0.29283323 0.94399438</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 I 4 1 8 8 0.40187176 1.05303291</span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="co"># support for groups</span></span></span>
<span class="r-in"><span> <span class="va">example_isolates</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>

2
reference/microorganisms.codes.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

8
reference/microorganisms.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -156,7 +156,8 @@
<li><p><code>gbif_parent</code><br> GBIF identifier of the parent taxon</p></li>
<li><p><code>gbif_renamed_to</code><br> GBIF identifier of the currently valid taxon</p></li>
<li><p><code>source</code><br> Either "GBIF", "LPSN" or "manually added" (see <em>Source</em>)</p></li>
<li><p><code>prevalence</code><br> Prevalence of the microorganism, see <code><a href="as.mo.html">as.mo()</a></code></p></li>
<li><p><code>prevalence</code><br> Prevalence of the microorganism according to Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
), see <code><a href="mo_matching_score.html">mo_matching_score()</a></code> for the full explanation</p></li>
<li><p><code>snomed</code><br> Systematized Nomenclature of Medicine (SNOMED) code of the microorganism, version of 1 July, 2021 (see <em>Source</em>). Use <code><a href="mo_property.html">mo_snomed()</a></code> to retrieve it quickly, see <code><a href="mo_property.html">mo_property()</a></code>.</p></li>
</ul></div>
<div class="section level2">
@ -167,7 +168,8 @@
<li><p>GBIF Secretariat (2022). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on 11 December, 2022.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Grimont <em>et al.</em>. Antigenic Formulae of the Salmonella Serovars, 2007, 9th Edition. WHO Collaborating Centre for Reference and Research on <em>Salmonella</em> (WHOCC-SALM).</p></li>
<li><p>Grimont <em>et al.</em> (2007). Antigenic Formulae of the Salmonella Serovars, 9th Edition. WHO Collaborating Centre for Reference and Research on <em>Salmonella</em> (WHOCC-SALM).</p></li>
<li><p>Bartlett <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>

48
reference/mo_matching_score.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -153,8 +153,10 @@
</dl></div>
<div class="section level2">
<h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
<p>This algorithm was described in: Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a>
<p>This algorithm was originally described in: Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a>
.</p>
<p>Later, the work of Bartlett A <em>et al.</em> about bacterial pathogens infecting humans (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) was incorporated.</p>
</div>
<div class="section level2">
<h2 id="matching-score-for-microorganisms">Matching Score for Microorganisms<a class="anchor" aria-label="anchor" href="#matching-score-for-microorganisms"></a></h2>
@ -168,12 +170,14 @@
<li><p><i>lev</i> is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change <i>x</i> into <i>n</i>;</p></li>
<li><p><i>p<sub>n</sub></i> is the human pathogenic prevalence group of <i>n</i>, as described below;</p></li>
<li><p><i>k<sub>n</sub></i> is the taxonomic kingdom of <i>n</i>, set as Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5.</p></li>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence:</p>
<p><strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales.</p>
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Pseudomonadota (previously named Proteobacteria), Bacillota (previously named Firmicutes), Actinomycetota (previously named Actinobacteria) or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Christensenella</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any <em>other</em> bacterial genus, species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, also has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Pediculus</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em> or <em>Wuchereria</em>.</p></li>
<li><p>All other records have <code>prevalence = 3.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.095\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
@ -193,31 +197,31 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_ESCHR_COLI</span>
<span class="r-in"><span><span class="fu"><a href="as.mo.html">mo_uncertainties</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Matching scores are based on the resemblance between the input and the full</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> taxonomic name, and the pathogenicity in humans. See ?mo_matching_score.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> taxonomic name, and the pathogenicity in humans according to Bartlett et</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> al. (2022). See ?mo_matching_score.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> --------------------------------------------------------------------------------</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> "K. pneumoniae" -&gt; Klebsiella pneumoniae (B_KLBSL_PNMN, 0.786)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Based on input "K pneumoniae"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Also matched: Klebsiella pneumoniae ozaenae (0.707), Klebsiella</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> pneumoniae pneumoniae (0.688), Klebsiella pneumoniae rhinoscleromatis</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.658), Kosakonia pseudosacchari (0.542), Kalamiella piersonii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.525), Kangiella profundi (0.500), Klebsiella pasteurii (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Klebsiella planticola (0.500), Kushneria pakistanensis (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kushneria phosphatilytica (0.500), Kushneria phyllosphaerae (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kroppenstedtia pulmonis (0.304), Kibdelosporangium phytohabitans</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.282), Kitasatospora putterlickiae (0.269), Kibdelosporangium</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> philippinense (0.266), Kitasatospora psammotica (0.260), Kangsaoukella</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> pontilimi (0.250), Keratinibaculum paraultunense (0.250),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium persicum (0.250), Kingella potus (0.250), Kitasatoa</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> purpurea (0.250), Kitasatospora paracochleata (0.250), Kitasatospora</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> paracochleatus (0.250), Kitasatospora paranensis (0.250) and</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kitasatospora phosalacinea (0.250) [showing first 25]</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.658), Klebsiella pasteurii (0.500), Klebsiella planticola (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kingella potus (0.250), Kosakonia pseudosacchari (0.217),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kroppenstedtia pulmonis (0.203), Kaistella palustris (0.200), Kocuria</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> palustris (0.200), Kocuria pelophila (0.200), Kocuria polaris (0.200),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium phytohabitans (0.188), Kitasatospora putterlickiae</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.179), Kibdelosporangium philippinense (0.177), Kalamiella piersonii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.175), Kitasatospora psammotica (0.174), Kallotenue papyrolyticum</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.167), Kangiella profundi (0.167), Kangsaoukella pontilimi (0.167),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Katagnymene pelagic (0.167), Keratinibaculum paraultunense (0.167),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium persicum (0.167), Kitasatoa purpurea (0.167) and</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kitasatospora paracochleata (0.167) [showing first 25]</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">mo_matching_score</span><span class="op">(</span></span></span>
<span class="r-in"><span> x <span class="op">=</span> <span class="st">"E. coli"</span>,</span></span>
<span class="r-in"><span> n <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">"Escherichia coli"</span>, <span class="st">"Entamoeba coli"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.68750000 0.07936508</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.6875000 0.0952381</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>

17
reference/mo_property.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -428,12 +428,14 @@
<li><p><i>lev</i> is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change <i>x</i> into <i>n</i>;</p></li>
<li><p><i>p<sub>n</sub></i> is the human pathogenic prevalence group of <i>n</i>, as described below;</p></li>
<li><p><i>k<sub>n</sub></i> is the taxonomic kingdom of <i>n</i>, set as Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5.</p></li>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence:</p>
<p><strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales.</p>
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Pseudomonadota (previously named Proteobacteria), Bacillota (previously named Firmicutes), Actinomycetota (previously named Actinobacteria) or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Christensenella</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any <em>other</em> bacterial genus, species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, also has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Pediculus</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em> or <em>Wuchereria</em>.</p></li>
<li><p>All other records have <code>prevalence = 3.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.095\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
@ -450,6 +452,7 @@
<li><p>GBIF Secretariat (2022). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on 11 December, 2022.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Bartlett A <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ol></div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>

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@ -12,7 +12,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -10,7 +10,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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reference/proportion.html
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@ -12,7 +12,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
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36
reference/random.html
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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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@ -183,43 +183,43 @@
<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">random_mic</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &lt;=0.001 32 0.005 0.25 0.5 128 8 0.0625 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.0625 64 8 4 0.025 0.25 32 0.5 &lt;=0.001</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 256 0.0625 4 0.01 0.01 0.025 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.01 0.025 0.025 32 128 0.125 &lt;=0.002 0.0625 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.0625 16 0.005 0.025 &gt;=256 4 16 0.005 0.5 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 0.025 128 128 &lt;=0.002 0.005 &lt;=0.002 0.5 </span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 29 20 39 43 38 39 11 22 49 47 44 14 10 36 7 14 44 7 24 6 32 47 28 7 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 23 27 46 28 15 9 37 30 20 26 29 16 40 45 16 36 12 50 15 50 21 6 26 48 49</span>
<span class="r-in"><span><span class="fu">random_rsi</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'rsi'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] I S I R R R R S I R S S I R I I S S R I R S S I R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R R R R S R S R S R S I R I I I R S R R S S S R R</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
<span class="r-in"><span><span class="co"># make the random generation more realistic by setting a bug and/or drug:</span></span></span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span> <span class="co"># range 0.0625-64</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 16 16 0.025 4 1 4 64 0.005 2 64 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 2 0.002 0.025 0.001 0.0625 64 0.5 8 0.025 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 2 0.01 16 4 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.002 0.5 4 1 1 0.002 0.0625 0.01 0.025 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.025 0.0625 0.25 0.125 0.025 0.002 0.002 0.01 0.01 0.001 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 0.0625 0.002 8 64 0.125 </span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span>, <span class="st">"meropenem"</span><span class="op">)</span> <span class="co"># range 0.0625-16</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 4 2 0.5 1 0.5 &lt;=0.25 &lt;=0.25 2 0.5 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 4 &lt;=0.25 4 &gt;=16 0.5 0.5 0.5 2 &gt;=16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] &lt;=0.25 &lt;=0.25 &lt;=0.25 &gt;=16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8 1 4 1 32 32 4 16 &lt;=0.5 8 16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] &lt;=0.5 1 2 2 1 1 1 1 16 1 2 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] 1 </span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Streptococcus pneumoniae"</span>, <span class="st">"meropenem"</span><span class="op">)</span> <span class="co"># range 0.0625-4</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1 0.25 0.5 0.125 0.0625 0.125 2 &gt;=4 0.5 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] &gt;=4 &gt;=4 0.025 0.025 0.025 2 0.0625 0.025 0.125 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 1 0.025 0.125 0.25 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5 1 1 0.0625 0.125 0.5 0.25 4 2 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.5 0.25 1 0.5 4 0.25 0.0625 0.25 1 0.25 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 4 1 0.25 1 2 </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span> <span class="co"># range 8-50</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 43 40 12 49 41 42 44 39 47 30 11 33 9 45 36 30 50 19 50 33 40 18 50 45 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 31 41 17 26 46 32 8 44 42 45 41 43 43 19 13 30 50 40 28 39 28 40 8 17 20</span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span>, <span class="st">"ampicillin"</span><span class="op">)</span> <span class="co"># range 11-17</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 14 12 14 17 11 14 12 12 17 11 13 16 16 11 17 15 15 13 14 11 13 16 12 14 12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 16 17 14 12 12 17 12 14 14 13 12 14 12 16 16 12 12 13 16 14 13 16 11 15 13</span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Streptococcus pneumoniae"</span>, <span class="st">"ampicillin"</span><span class="op">)</span> <span class="co"># range 12-27</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 26 25 22 25 21 25 20 16 21 17 26 24 24 22 24 21 17 16 15 25 20 22 18 16 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 22 27 18 27 22 23 25 19 27 22 23 22 16 20 16 17 27 17 27 23 19 19 18 18 15</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
</div>

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@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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reference/skewness.html
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@ -12,7 +12,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -171,7 +171,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<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">skewness</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.005388566</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.01432636</span>
</code></pre></div>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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