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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>
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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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">06 January 2023</h4>
<h4 data-toc-skip class="date">07 January 2023</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 06 January 2023.</p>
generated on 07 January 2023.</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">2023-01-06</td>
<td align="center">2023-01-07</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
</tr>
<tr class="even">
<td align="center">2023-01-06</td>
<td align="center">2023-01-07</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
</tr>
<tr class="odd">
<td align="center">2023-01-06</td>
<td align="center">2023-01-07</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
@ -380,12 +380,12 @@ data set:</p>
<col width="13%">
<col width="13%">
<col width="13%">
<col width="28%">
<col width="26%">
<col width="5%">
<col width="5%">
<col width="5%">
<col width="5%">
<col width="8%">
<col width="9%">
</colgroup>
<thead><tr class="header">
<th align="center">date</th>
@ -400,54 +400,32 @@ data set:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2015-04-28</td>
<td align="center">V8</td>
<td align="center">Hospital D</td>
<td align="center">2015-01-23</td>
<td align="center">N4</td>
<td align="center">Hospital B</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>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2010-06-20</td>
<td align="center">B4</td>
<td align="center">Hospital D</td>
<td align="center">Streptococcus pneumoniae</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>
</tr>
<tr class="odd">
<td align="center">2015-06-12</td>
<td align="center">K2</td>
<td align="center">Hospital A</td>
<td align="center">Streptococcus pneumoniae</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>
</tr>
<tr class="even">
<td align="center">2015-12-01</td>
<td align="center">S9</td>
<td align="center">Hospital A</td>
<td align="center">2017-03-19</td>
<td align="center">Z7</td>
<td align="center">Hospital C</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">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="odd">
<td align="center">2014-02-21</td>
<td align="center">D1</td>
<td align="center">2010-04-01</td>
<td align="center">I9</td>
<td align="center">Hospital A</td>
<td align="center">Klebsiella pneumoniae</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
@ -455,14 +433,36 @@ data set:</p>
<td align="center">M</td>
</tr>
<tr class="even">
<td align="center">2013-02-17</td>
<td align="center">K6</td>
<td align="center">Hospital D</td>
<td align="center">2015-08-04</td>
<td align="center">X4</td>
<td align="center">Hospital B</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">I</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="odd">
<td align="center">2016-09-21</td>
<td align="center">W8</td>
<td align="center">Hospital A</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2010-01-28</td>
<td align="center">H9</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">R</td>
<td align="center">M</td>
</tr>
</tbody>
@ -499,16 +499,16 @@ Longest: 1</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">M</td>
<td align="right">10,411</td>
<td align="right">52.06%</td>
<td align="right">10,411</td>
<td align="right">52.06%</td>
<td align="right">10,284</td>
<td align="right">51.42%</td>
<td align="right">10,284</td>
<td align="right">51.42%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">F</td>
<td align="right">9,589</td>
<td align="right">47.95%</td>
<td align="right">9,716</td>
<td align="right">48.58%</td>
<td align="right">20,000</td>
<td align="right">100.00%</td>
</tr>
@ -621,10 +621,10 @@ 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 10,790 'phenotype-based' first isolates (54.0% of total where a</span></span>
<span><span class="co"># =&gt; Found 10,750 'phenotype-based' first isolates (53.8% of total where a</span></span>
<span><span class="co"># microbial ID was available)</span></span></code></pre></div>
<p>So only 54% 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
<p>So only 53.8% 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">
<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>
@ -634,11 +634,11 @@ it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html" cl
<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 10,790 isolates for analysis. Now our data looks
<p>So we end up with 10,750 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>
<table class="table">
<table style="width:100%;" class="table">
<colgroup>
<col width="2%">
<col width="9%">
@ -651,7 +651,7 @@ like:</p>
<col width="3%">
<col width="6%">
<col width="11%">
<col width="11%">
<col width="12%">
<col width="9%">
<col width="5%">
</colgroup>
@ -673,30 +673,30 @@ like:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">3</td>
<td align="center">2015-06-12</td>
<td align="center">K2</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">S</td>
<td align="left">1</td>
<td align="center">2015-01-23</td>
<td align="center">N4</td>
<td align="center">Hospital B</td>
<td align="center">B_ESCHR_COLI</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-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</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="left">4</td>
<td align="center">2015-12-01</td>
<td align="center">S9</td>
<td align="center">Hospital A</td>
<td align="left">2</td>
<td align="center">2017-03-19</td>
<td align="center">Z7</td>
<td align="center">Hospital C</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">S</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
@ -705,63 +705,63 @@ like:</p>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">4</td>
<td align="center">2015-08-04</td>
<td align="center">X4</td>
<td align="center">Hospital B</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">I</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">5</td>
<td align="center">2014-02-21</td>
<td align="center">D1</td>
<td align="center">2016-09-21</td>
<td align="center">W8</td>
<td align="center">Hospital A</td>
<td align="center">B_KLBSL_PNMN</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">F</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">6</td>
<td align="center">2010-01-28</td>
<td align="center">H9</td>
<td align="center">Hospital A</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">M</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">7</td>
<td align="center">2010-03-27</td>
<td align="center">W8</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">R</td>
<td align="center">S</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="odd">
<td align="left">14</td>
<td align="center">2011-05-28</td>
<td align="center">H3</td>
<td align="center">2015-05-17</td>
<td align="center">Z1</td>
<td align="center">Hospital D</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="even">
<td align="left">15</td>
<td align="center">2012-06-23</td>
<td align="center">V2</td>
<td align="center">Hospital B</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">I</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>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
@ -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: 10,790<br>
Available: 10,790 (100%, NA: 0 = 0%)<br>
Length: 10,750<br>
Available: 10,750 (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">4,663</td>
<td align="right">43.22%</td>
<td align="right">4,663</td>
<td align="right">43.22%</td>
<td align="right">4,767</td>
<td align="right">44.34%</td>
<td align="right">4,767</td>
<td align="right">44.34%</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">25.83%</td>
<td align="right">7,450</td>
<td align="right">69.05%</td>
<td align="right">2,719</td>
<td align="right">25.29%</td>
<td align="right">7,486</td>
<td align="right">69.64%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Streptococcus pneumoniae</td>
<td align="right">2,172</td>
<td align="right">20.13%</td>
<td align="right">9,622</td>
<td align="right">89.18%</td>
<td align="right">2,078</td>
<td align="right">19.33%</td>
<td align="right">9,564</td>
<td align="right">88.97%</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">10.82%</td>
<td align="right">10,790</td>
<td align="right">1,186</td>
<td align="right">11.03%</td>
<td align="right">10,750</td>
<td align="right">100.00%</td>
</tr>
</tbody>
@ -902,8 +902,38 @@ antibiotic class they are in:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2015-06-12</td>
<td align="center">K2</td>
<td align="center">2010-01-28</td>
<td align="center">H9</td>
<td align="center">Hospital A</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">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="even">
<td align="center">2016-02-10</td>
<td align="center">X1</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">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">2015-05-27</td>
<td align="center">D10</td>
<td align="center">Hospital A</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
@ -917,58 +947,28 @@ antibiotic class they are in:</p>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2011-05-28</td>
<td align="center">H3</td>
<td align="center">2017-09-20</td>
<td align="center">F9</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">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">2016-04-12</td>
<td align="center">Z5</td>
<td align="center">Hospital D</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">2012-06-23</td>
<td align="center">V2</td>
<td align="center">Hospital B</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">I</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">2012-05-13</td>
<td align="center">L1</td>
<td align="center">Hospital C</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">2016-05-12</td>
<td align="center">W3</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>
@ -977,18 +977,18 @@ antibiotic class they are in:</p>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2016-04-28</td>
<td align="center">B6</td>
<td align="center">2011-12-20</td>
<td align="center">D3</td>
<td align="center">Hospital A</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">I</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">Escherichia</td>
<td align="center">coli</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
</tbody>
@ -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">2186</td>
<td align="center">130</td>
<td align="center">2347</td>
<td align="center">4663</td>
<td align="center">2241</td>
<td align="center">136</td>
<td align="center">2390</td>
<td align="center">4767</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">AMC</td>
<td align="center">3398</td>
<td align="center">3489</td>
<td align="center">168</td>
<td align="center">1097</td>
<td align="center">4663</td>
<td align="center">1110</td>
<td align="center">4767</td>
</tr>
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">CIP</td>
<td align="center">3398</td>
<td align="center">3502</td>
<td align="center">0</td>
<td align="center">1265</td>
<td align="center">4663</td>
<td align="center">4767</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">GEN</td>
<td align="center">4096</td>
<td align="center">4141</td>
<td align="center">0</td>
<td align="center">567</td>
<td align="center">4663</td>
<td align="center">626</td>
<td align="center">4767</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">1186</td>
<td align="center">1186</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">AMC</td>
<td align="center">945</td>
<td align="center">49</td>
<td align="center">174</td>
<td align="center">1168</td>
<td align="center">924</td>
<td align="center">53</td>
<td align="center">209</td>
<td align="center">1186</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">4096</td>
<td align="center">4141</td>
<td align="center">0</td>
<td align="center">567</td>
<td align="center">4663</td>
<td align="center">626</td>
<td align="center">4767</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">GEN</td>
<td align="center">1032</td>
<td align="center">1072</td>
<td align="center">0</td>
<td align="center">136</td>
<td align="center">1168</td>
<td align="center">114</td>
<td align="center">1186</td>
</tr>
<tr class="odd">
<td align="center">S. aureus</td>
<td align="center">GEN</td>
<td align="center">2447</td>
<td align="center">2409</td>
<td align="center">0</td>
<td align="center">340</td>
<td align="center">2787</td>
<td align="center">310</td>
<td align="center">2719</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">2172</td>
<td align="center">2172</td>
<td align="center">2078</td>
<td align="center">2078</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] 0.5407785</span></span></code></pre></div>
<span><span class="co"># [1] 0.543814</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">0.5431988</td>
<td align="center">0.5540994</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5308912</td>
<td align="center">0.5473965</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5421020</td>
<td align="center">0.5031606</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5527778</td>
<td align="center">0.5518207</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">0.5431988</td>
<td align="center">3345</td>
<td align="center">0.5540994</td>
<td align="center">3281</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5308912</td>
<td align="center">3658</td>
<td align="center">0.5473965</td>
<td align="center">3745</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5421020</td>
<td align="center">1627</td>
<td align="center">0.5031606</td>
<td align="center">1582</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5527778</td>
<td align="center">2160</td>
<td align="center">0.5518207</td>
<td align="center">2142</td>
</tr>
</tbody>
</table>
@ -1230,27 +1230,27 @@ therapies very easily:</p>
<tbody>
<tr class="odd">
<td align="center">Escherichia</td>
<td align="center">0.7647437</td>
<td align="center">0.8784045</td>
<td align="center">0.9791979</td>
<td align="center">0.7671492</td>
<td align="center">0.8686805</td>
<td align="center">0.9758758</td>
</tr>
<tr class="even">
<td align="center">Klebsiella</td>
<td align="center">0.8510274</td>
<td align="center">0.8835616</td>
<td align="center">0.9837329</td>
<td align="center">0.8237774</td>
<td align="center">0.9038786</td>
<td align="center">0.9806071</td>
</tr>
<tr class="odd">
<td align="center">Staphylococcus</td>
<td align="center">0.7918909</td>
<td align="center">0.8780050</td>
<td align="center">0.9763186</td>
<td align="center">0.7899963</td>
<td align="center">0.8859875</td>
<td align="center">0.9834498</td>
</tr>
<tr class="even">
<td align="center">Streptococcus</td>
<td align="center">0.5478821</td>
<td align="center">0.5303176</td>
<td align="center">0.0000000</td>
<td align="center">0.5478821</td>
<td align="center">0.5303176</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">54.3%</td>
<td align="right">26.2%</td>
<td align="right">55.4%</td>
<td align="right">26.9%</td>
</tr>
<tr class="even">
<td align="left">Hospital B</td>
<td align="right">53.1%</td>
<td align="right">26.2%</td>
<td align="right">54.7%</td>
<td align="right">27.3%</td>
</tr>
<tr class="odd">
<td align="left">Hospital C</td>
<td align="right">54.2%</td>
<td align="right">26.2%</td>
<td align="right">50.3%</td>
<td align="right">25.5%</td>
</tr>
<tr class="even">
<td align="left">Hospital D</td>
<td align="right">55.3%</td>
<td align="right">26.5%</td>
<td align="right">55.2%</td>
<td align="right">25.9%</td>
</tr>
</tbody>
</table>
@ -1410,16 +1410,16 @@ 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] 0.25 32 4 0.01 0.005 4 0.01 2 0.01 0.002 </span></span>
<span><span class="co"># [11] 32 32 0.001 32 0.001 1 0.002 64 64 1 </span></span>
<span><span class="co"># [21] 0.125 4 0.25 32 0.025 &gt;=256 64 &gt;=256 0.002 128 </span></span>
<span><span class="co"># [31] 0.125 0.001 8 4 0.25 0.25 0.25 0.002 0.002 128 </span></span>
<span><span class="co"># [41] 0.125 32 0.002 32 0.125 128 0.005 &gt;=256 0.002 0.025 </span></span>
<span><span class="co"># [51] &gt;=256 0.125 0.002 0.5 128 0.005 32 0.001 1 0.025 </span></span>
<span><span class="co"># [61] 0.5 0.125 1 16 0.0625 16 0.002 4 0.001 16 </span></span>
<span><span class="co"># [71] 128 0.125 32 0.25 0.001 0.025 8 64 0.01 8 </span></span>
<span><span class="co"># [81] 0.01 &gt;=256 0.001 0.125 0.005 0.125 &gt;=256 0.25 64 8 </span></span>
<span><span class="co"># [91] 32 &gt;=256 0.0625 128 64 32 0.125 0.125 1 0.0625</span></span></code></pre></div>
<span><span class="co"># [1] 8 0.01 0.01 0.025 128 64 2 0.025 0.0625 0.005 </span></span>
<span><span class="co"># [11] 0.001 0.0625 1 0.002 0.5 0.25 64 0.025 256 128 </span></span>
<span><span class="co"># [21] 0.001 0.005 1 0.125 256 8 0.001 0.25 0.0625 1 </span></span>
<span><span class="co"># [31] 4 0.005 0.5 0.0625 0.002 2 0.0625 0.005 0.005 0.25 </span></span>
<span><span class="co"># [41] 32 0.01 0.01 2 128 16 0.25 8 4 0.025 </span></span>
<span><span class="co"># [51] 32 256 0.0625 128 128 0.001 0.5 0.5 0.125 64 </span></span>
<span><span class="co"># [61] 0.25 8 0.0625 0.001 1 2 256 0.005 4 16 </span></span>
<span><span class="co"># [71] 0.125 0.002 256 64 0.01 8 0.5 0.5 64 1 </span></span>
<span><span class="co"># [81] 0.5 32 4 1 2 0.025 0.0625 0.25 0.005 16 </span></span>
<span><span class="co"># [91] 0.0625 0.002 8 0.001 0.125 0.125 128 64 0.125 64</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 +1453,10 @@ 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] 25 30 29 20 31 19 25 23 27 29 29 31 22 26 20 20 23 17 25 31 19 31 25 26 29</span></span>
<span><span class="co"># [26] 25 24 20 28 22 25 20 22 19 23 28 20 29 22 31 18 30 26 23 31 25 27 24 19 23</span></span>
<span><span class="co"># [51] 29 20 19 22 26 17 17 19 27 27 26 31 17 28 19 22 29 21 31 17 19 19 30 17 21</span></span>
<span><span class="co"># [76] 23 17 31 21 19 27 26 26 22 26 22 21 24 27 18 21 23 27 29 21 23 27 27 29 18</span></span></code></pre></div>
<span><span class="co"># [1] 26 30 22 29 29 24 23 31 22 19 29 24 22 30 20 18 26 25 18 23 23 25 31 24 25</span></span>
<span><span class="co"># [26] 18 30 22 31 24 22 22 25 22 17 22 24 25 28 19 21 21 21 22 18 31 25 22 25 30</span></span>
<span><span class="co"># [51] 25 31 23 21 17 19 31 23 19 20 28 22 26 25 25 24 20 24 25 19 27 28 21 26 23</span></span>
<span><span class="co"># [76] 17 22 23 30 20 20 18 18 22 19 29 31 18 26 20 28 27 24 27 21 17 25 30 22 22</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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

56
articles/MDR.html
View File

@ -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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">
@ -375,16 +375,16 @@ 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 I S R I R I</span></span>
<span><span class="co"># 2 S R S R S R</span></span>
<span><span class="co"># 3 I R R S I I</span></span>
<span><span class="co"># 4 R S S S I S</span></span>
<span><span class="co"># 5 I I I S S R</span></span>
<span><span class="co"># 6 S S S S I S</span></span>
<span><span class="co"># 1 S I S S R S</span></span>
<span><span class="co"># 2 S S R I S S</span></span>
<span><span class="co"># 3 I S I S I I</span></span>
<span><span class="co"># 4 R R I S S S</span></span>
<span><span class="co"># 5 I I S I S S</span></span>
<span><span class="co"># 6 S S R S S R</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 S</span></span>
<span><span class="co"># 1 I</span></span>
<span><span class="co"># 2 S</span></span>
<span><span class="co"># 3 I</span></span>
<span><span class="co"># 4 I</span></span>
<span><span class="co"># 5 I</span></span>
<span><span class="co"># 6 I</span></span></code></pre></div>
@ -428,40 +428,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3214</td>
<td align="right">64.28%</td>
<td align="right">3214</td>
<td align="right">64.28%</td>
<td align="right">3236</td>
<td align="right">64.72%</td>
<td align="right">3236</td>
<td align="right">64.72%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">1024</td>
<td align="right">20.48%</td>
<td align="right">4238</td>
<td align="right">84.76%</td>
<td align="right">965</td>
<td align="right">19.30%</td>
<td align="right">4201</td>
<td align="right">84.02%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">403</td>
<td align="right">8.06%</td>
<td align="right">4641</td>
<td align="right">92.82%</td>
<td align="right">459</td>
<td align="right">9.18%</td>
<td align="right">4660</td>
<td align="right">93.20%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">256</td>
<td align="right">5.12%</td>
<td align="right">4897</td>
<td align="right">97.94%</td>
<td align="right">242</td>
<td align="right">4.84%</td>
<td align="right">4902</td>
<td align="right">98.04%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">103</td>
<td align="right">2.06%</td>
<td align="right">98</td>
<td align="right">1.96%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>

2
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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="">1.8.2.9086</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="">1.8.2.9086</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">06 January 2023</h4>
<h4 data-toc-skip class="date">07 January 2023</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>

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@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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articles/datasets.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">06 January 2023</h4>
<h4 data-toc-skip class="date">07 January 2023</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
<div class="d-none name"><code>datasets.Rmd</code></div>

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@ -10,7 +10,7 @@
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@ -38,7 +38,7 @@
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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="">1.8.2.9086</small>
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@ -42,7 +42,7 @@
<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="">1.8.2.9086</small>
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news/index.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="">1.8.2.9086</small>
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@ -132,7 +132,7 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="1.8.2.9086" id="amr-1829086">AMR 1.8.2.9086<a class="anchor" aria-label="anchor" href="#amr-1829086"></a></h2>
<h2 class="pkg-version" data-toc-text="1.8.2.9088" id="amr-1829088">AMR 1.8.2.9088<a class="anchor" aria-label="anchor" href="#amr-1829088"></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>
@ -145,19 +145,19 @@
<li>Many new interesting functions, such as <code><a href="../reference/proportion.html">rsi_confidence_interval()</a></code> and <code><a href="../reference/mean_amr_distance.html">mean_amr_distance()</a></code>, and <code><a href="../reference/add_custom_microorganisms.html">add_custom_microorganisms()</a></code> to add custom microorganisms to this package</li>
<li>Many small bug fixes</li>
</ul><div class="section level3">
<h3 id="new-1-8-2-9086">New<a class="anchor" aria-label="anchor" href="#new-1-8-2-9086"></a></h3>
<h3 id="new-1-8-2-9088">New<a class="anchor" aria-label="anchor" href="#new-1-8-2-9088"></a></h3>
<div class="section level4">
<h4 id="interpretation-of-mic-and-disk-diffusion-values-1-8-2-9086">Interpretation of MIC and disk diffusion values<a class="anchor" aria-label="anchor" href="#interpretation-of-mic-and-disk-diffusion-values-1-8-2-9086"></a></h4>
<h4 id="interpretation-of-mic-and-disk-diffusion-values-1-8-2-9088">Interpretation of MIC and disk diffusion values<a class="anchor" aria-label="anchor" href="#interpretation-of-mic-and-disk-diffusion-values-1-8-2-9088"></a></h4>
<p>The clinical breakpoints and intrinsic resistance of EUCAST 2022 and CLSI 2022 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 level4">
<h4 id="supported-languages-1-8-2-9086">Supported languages<a class="anchor" aria-label="anchor" href="#supported-languages-1-8-2-9086"></a></h4>
<h4 id="supported-languages-1-8-2-9088">Supported languages<a class="anchor" aria-label="anchor" href="#supported-languages-1-8-2-9088"></a></h4>
<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 level4">
<h4 id="microbiological-taxonomy-1-8-2-9086">Microbiological taxonomy<a class="anchor" aria-label="anchor" href="#microbiological-taxonomy-1-8-2-9086"></a></h4>
<h4 id="microbiological-taxonomy-1-8-2-9088">Microbiological taxonomy<a class="anchor" aria-label="anchor" href="#microbiological-taxonomy-1-8-2-9088"></a></h4>
<p>The <code>microorganisms</code> data set 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>The new function <code><a href="../reference/add_custom_microorganisms.html">add_custom_microorganisms()</a></code> allows users to add custom microorganisms to the <code>AMR</code> package.</p>
@ -181,7 +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 level4">
<h4 id="antibiotic-agents-and-selectors-1-8-2-9086">Antibiotic agents and selectors<a class="anchor" aria-label="anchor" href="#antibiotic-agents-and-selectors-1-8-2-9086"></a></h4>
<h4 id="antibiotic-agents-and-selectors-1-8-2-9088">Antibiotic agents and selectors<a class="anchor" aria-label="anchor" href="#antibiotic-agents-and-selectors-1-8-2-9088"></a></h4>
<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>
@ -193,14 +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 level4">
<h4 id="antiviral-agents-1-8-2-9086">Antiviral agents<a class="anchor" aria-label="anchor" href="#antiviral-agents-1-8-2-9086"></a></h4>
<h4 id="antiviral-agents-1-8-2-9088">Antiviral agents<a class="anchor" aria-label="anchor" href="#antiviral-agents-1-8-2-9088"></a></h4>
<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 level4">
<h4 id="other-new-functions-1-8-2-9086">Other new functions<a class="anchor" aria-label="anchor" href="#other-new-functions-1-8-2-9086"></a></h4>
<h4 id="other-new-functions-1-8-2-9088">Other new functions<a class="anchor" aria-label="anchor" href="#other-new-functions-1-8-2-9088"></a></h4>
<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>
@ -209,7 +209,7 @@
</ul></div>
</div>
<div class="section level3">
<h3 id="changes-1-8-2-9086">Changes<a class="anchor" aria-label="anchor" href="#changes-1-8-2-9086"></a></h3>
<h3 id="changes-1-8-2-9088">Changes<a class="anchor" aria-label="anchor" href="#changes-1-8-2-9088"></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>
@ -248,7 +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-1-8-2-9086">Other<a class="anchor" aria-label="anchor" href="#other-1-8-2-9086"></a></h3>
<h3 id="other-1-8-2-9088">Other<a class="anchor" aria-label="anchor" href="#other-1-8-2-9088"></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
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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: 2023-01-06T18:25Z
last_built: 2023-01-07T00:58Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles

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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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@ -62,7 +62,7 @@ Principal component analysis for AMR
<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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@ -10,7 +10,7 @@
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reference/ab_property.html
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reference/add_custom_antimicrobials.html
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@ -10,7 +10,7 @@
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reference/add_custom_microorganisms.html
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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="">1.8.2.9086</small>
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22
reference/age.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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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 1974-10-07 48 48.24932 25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1971-04-03 51 51.76164 28</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1934-06-15 88 88.56164 65</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1935-02-10 87 87.90411 64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1965-06-08 57 57.58082 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1946-06-28 76 76.52603 53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1937-07-19 85 85.46849 62</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1997-05-27 25 25.61370 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1974-11-05 48 48.16986 25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1962-06-19 60 60.55068 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1972-10-15 50 50.23014 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1940-06-01 82 82.60274 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1958-03-19 64 64.80548 41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1936-09-25 86 86.28493 63</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1983-01-29 39 39.93973 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1942-03-04 80 80.84658 57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1962-08-07 60 60.41918 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-03-03 44 44.84932 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1986-01-03 37 37.01096 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1960-04-06 62 62.75616 39</span>
</code></pre></div>
</div>
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reference/as.mic.html
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reference/as.mo.html
View File

@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -255,7 +255,7 @@
<h3 id="microbial-prevalence-of-pathogens-in-humans">Microbial Prevalence of Pathogens in Humans<a class="anchor" aria-label="anchor" href="#microbial-prevalence-of-pathogens-in-humans"></a></h3>
<p>The coercion rules consider the prevalence of microorganisms in humans grouped into three groups, which is available as the <code>prevalence</code> columns in the <a href="microorganisms.html">microorganisms</a> data set. The grouping into human pathogenic prevalence is explained in the section <em>Matching Score for Microorganisms</em> below.</p>
<p>The coercion rules consider the prevalence of microorganisms in humans, which is available as the <code>prevalence</code> column in the <a href="microorganisms.html">microorganisms</a> data set. The grouping into human pathogenic prevalence is explained in the section <em>Matching Score for Microorganisms</em> below.</p>
</div>
</div>
@ -283,12 +283,12 @@
<p>With ambiguous user input in <code>as.mo()</code> and all the <code><a href="mo_property.html">mo_*</a></code> functions, the returned results are chosen based on their matching score using <code><a href="mo_matching_score.html">mo_matching_score()</a></code>. This matching score \(m\), is calculated as:</p>
<p><img src="figures/mo_matching_score.png" width="300" alt="mo matching score"></p>
<p>where:</p><ul><li><p>\(x\) is the user input;</p></li>
<li><p><i>n</i> is a taxonomic name (genus, species, and subspecies);</p></li>
<li><p><i>l<sub>n</sub></i> is the length of <i>n</i>;</p></li>
<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 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>
<li><p>\(n\) is a taxonomic name (genus, species, and subspecies);</p></li>
<li><p>\(l_n\) is the length of \(n\);</p></li>
<li><p>\(lev\) 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 \(x\) into \(n\);</p></li>
<li><p>\(p_{n}\) is the human pathogenic prevalence group of \(n\), as described below;</p></li>
<li><p>\(k_n\) is the taxonomic kingdom of \(n\), 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 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 = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any genus present in the <strong>established</strong> list also has <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>

22
reference/as.rsi.html
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@ -10,7 +10,7 @@
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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> 2023-01-06 <span style="color: #949494;">18:25:56</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> 2023-01-06 <span style="color: #949494;">18:25:56</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> 2023-01-06 <span style="color: #949494;">18:25:57</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> 2023-01-06 <span style="color: #949494;">18:25:57</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> 2023-01-06 <span style="color: #949494;">18:25:57</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> 2023-01-06 <span style="color: #949494;">18:25:58</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> 2023-01-06 <span style="color: #949494;">18:25:58</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> 2023-01-06 <span style="color: #949494;">18:25:58</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> 2023-01-06 <span style="color: #949494;">18:25:58</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> 2023-01-06 <span style="color: #949494;">18:25:58</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> 2023-01-07 <span style="color: #949494;">00:58:48</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> 2023-01-07 <span style="color: #949494;">00:58:48</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> 2023-01-07 <span style="color: #949494;">00:58:48</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> 2023-01-07 <span style="color: #949494;">00:58:49</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> 2023-01-07 <span style="color: #949494;">00:58:49</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> 2023-01-07 <span style="color: #949494;">00:58:50</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> 2023-01-07 <span style="color: #949494;">00:58:50</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> 2023-01-07 <span style="color: #949494;">00:58:50</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> 2023-01-07 <span style="color: #949494;">00:58:50</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> 2023-01-07 <span style="color: #949494;">00:58:50</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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reference/count.html
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@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
<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="">1.8.2.9086</small>
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reference/custom_eucast_rules.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="">1.8.2.9086</small>
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2
reference/dosage.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="">1.8.2.9086</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="">1.8.2.9086</small>
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2
reference/example_isolates.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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reference/example_isolates_unclean.html
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@ -10,7 +10,7 @@
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2
reference/first_isolate.html
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@ -12,7 +12,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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2
reference/g.test.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="">1.8.2.9086</small>
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142
reference/get_episode.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="">1.8.2.9086</small>
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@ -182,39 +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] 60 52 8 61 6 52 60 61 13 32 21 42 36 27 16 14 58 22 9 35 57 60 21 8 26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 65 22 14 37 28 64 32 58 2 12 64 63 59 27 49 43 53 7 19 50 31 1 11 36 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 46 10 45 25 33 56 63 16 37 59 8 16 34 14 47 21 43 2 22 8 26 65 9 57 22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 1 18 22 40 41 11 48 57 44 34 4 1 57 40 48 15 23 62 53 45 54 19 21 6 44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 2 42 36 61 45 8 11 25 23 54 58 3 7 20 16 57 2 48 54 28 44 42 63 58 39</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 4 13 10 40 63 9 13 20 42 47 8 10 52 62 65 59 42 37 27 9 25 33 60 57 63</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 58 46 15 53 56 13 27 1 59 29 60 62 30 40 64 36 61 8 42 49 31 14 29 2 22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 5 19 24 25 33 55 42 1 19 15 57 33 38 51 44 13 23 31 17 44 26 56 9 9 46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 51 65 58 14 10 39 37 52 60 27 70 33 39 63 23 30 51 56 66 11 34 57 38 65 65</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 44 19 67 18 27 53 14 22 49 14 54 3 31 21 8 14 50 3 67 4 42 8 59 28 33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 48 24 62 31 68 6 30 31 36 1 46 48 60 2 46 35 28 4 67 71 40 42 21 70 24</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 51 42 42 47 52 13 57 29 4 56 29 64 8 52 9 42 69 50 2 66 12 30 23 56 57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 56 10 51 41 68 7 56 21 17 65 32 34 14 43 12 45 54 64 71 68 15 56 1 21 15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 71 44 65 25 6 68 43 10 22 43 14 36 25 65 9 10 2 26 37 2 1 47 70 58 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 26 37 61 6 18 70 20 61 59 16 56 8 5 22 50 36 45 46 16 17 63 21 40 46 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 7 55 40 23 12 30 9 1 27 4 18 63 53 19 42 3 22 54 28 61 25 61 11 16 33</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] FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] TRUE FALSE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] TRUE FALSE FALSE TRUE FALSE FALSE FALSE 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: 1 × 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> 2002-07-16 241328 78 M Outpatie… B_STPHY_CONS R NA S R </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> 2002-06-19 402950 53 F Clinical B_STPHY_HMNS R NA S NA </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>
@ -250,16 +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> 305134 2016-10-28 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 789292 2014-08-05 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 82C90B 2003-09-19 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> F5F794 2017-02-17 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 065187 2003-05-26 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> F25686 2014-07-23 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 219664 2016-11-19 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> D31017 2016-12-22 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> B95551 2004-12-17 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 451000 2009-08-29 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 964129 2013-09-11 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> B46416 2016-08-24 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 523893 2015-04-13 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> F35553 2004-12-29 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 419655 2004-02-21 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> F54287 2010-07-05 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 662978 2010-02-20 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 966513 2013-11-12 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 618515 2015-08-09 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 778D04 2007-09-30 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>
@ -271,19 +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 [173]</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 2016-10-28 305134 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2014-08-05 789292 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2003-09-19 82C90B 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2017-02-17 F5F794 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> ICU 2003-05-26 065187 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2014-07-23 F25686 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2016-11-19 219664 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> ICU 2016-12-22 D31017 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Outpatient 2004-12-17 B95551 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2009-08-29 451000 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [184]</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> Clinical 2013-09-11 964129 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> ICU 2016-08-24 B46416 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2015-04-13 523893 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> ICU 2004-12-29 F35553 4 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> ICU 2004-02-21 419655 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2010-07-05 F54287 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2010-02-20 662978 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2013-11-12 966513 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2015-08-09 618515 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> ICU 2007-09-30 778D04 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>
@ -298,9 +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 105 14 53 71</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 60 12 36 44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 8 5 7 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 118 14 55 80</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 61 13 42 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 5 4 5 5</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>
@ -319,7 +321,7 @@
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">y</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Including isolates from ICU.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</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"># but is_new_episode() has a lot more flexibility than first_isolate(),</span></span></span>
@ -330,19 +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 [185]</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> 305134 B_PROTS_VLGR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 789292 B_STRPT_SLVR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 82C90B B_STPHY_EPDR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> F5F794 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 065187 B_STPHY_AURS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> F25686 B_PROTS_MRBL Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 219664 B_STPHY_HMNS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> D31017 F_CANDD_TRPC ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> B95551 B_STPHY_CONS Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 451000 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> 964129 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> B46416 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 523893 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> F35553 B_SERRT_MRCS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 419655 B_STRPT_PNMN ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> F54287 B_KLBSL_OXYT Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 662978 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 966513 B_STPHY_HMNS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 618515 B_STPHY_EPDR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 778D04 B_STRPT_PNMN ICU 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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2
reference/ggplot_rsi.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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2
reference/guess_ab_col.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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2
reference/index.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

2
reference/intrinsic_resistant.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

2
reference/italicise_taxonomy.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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2
reference/join.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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2
reference/key_antimicrobials.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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] 2.981099</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 3.056972</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] -0.01132143</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.05089534</span>
</code></pre></div>
</div>
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2
reference/like.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="">1.8.2.9086</small>
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reference/mdro.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="">1.8.2.9086</small>
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88
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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">
@ -191,30 +191,30 @@
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">rsi</span> <span class="op">&lt;-</span> <span class="fu"><a href="random.html">random_rsi</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">rsi</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] S R R R I I I R S R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] S I S R S I S S S S</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">rsi</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.9486833 0.9486833 0.9486833 0.9486833 -0.9486833 -0.9486833</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.9486833 0.9486833 -0.9486833 0.9486833</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.3162278 -0.3162278 -0.3162278 2.8460499 -0.3162278 -0.3162278</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.3162278 -0.3162278 -0.3162278 -0.3162278</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">mic</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">mic</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] 2 0.025 &gt;=128 0.025 &gt;=128 16 4 &gt;=128 8 0.025</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.005 32 &gt;=64 0.001 32 0.005 &gt;=64 0.001 &gt;=64 32 </span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">mic</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.09761619 -1.32347254 1.06581655 -1.32347254 1.06581655 0.48410018</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.09628927 1.06581655 0.29019472 -1.32347254</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.9977554 0.7020018 0.8364352 -1.3099002 0.7020018 -0.9977554</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.8364352 -1.3099002 0.8364352 0.7020018</span>
<span class="r-in"><span><span class="co"># equal to the Z-score of their log2:</span></span></span>
<span class="r-in"><span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2</a></span><span class="op">(</span><span class="va">mic</span><span class="op">)</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2</a></span><span class="op">(</span><span class="va">mic</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/stats/sd.html" class="external-link">sd</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2</a></span><span class="op">(</span><span class="va">mic</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.09761619 -1.32347254 1.06581655 -1.32347254 1.06581655 0.48410018</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.09628927 1.06581655 0.29019472 -1.32347254</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.9977554 0.7020018 0.8364352 -1.3099002 0.7020018 -0.9977554</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.8364352 -1.3099002 0.8364352 0.7020018</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">disk</span> <span class="op">&lt;-</span> <span class="fu"><a href="random.html">random_disk</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">disk</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] 44 29 31 8 26 23 36 34 41 46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 43 13 6 50 43 19 14 23 8 44</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">disk</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.0822909 -0.2483946 -0.0709699 -2.1113544 -0.5145317 -0.7806689</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.3725920 0.1951672 0.8161538 1.2597157</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.9878564 -0.7867359 -1.2008074 1.4019279 0.9878564 -0.4318175</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.7275828 -0.1952051 -1.0825013 1.0470094</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>
@ -225,35 +225,35 @@
<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 I 27 0.5 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B I 27 2 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C S 20 &gt;=8 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D I 27 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E I 22 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F S 31 2 &lt;=1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G S 26 1 &gt;=16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H R 21 4 &lt;=1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I R 31 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J S 30 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A I 22 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B I 24 0.5 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C R 30 2 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D S 29 0.5 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E I 30 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F R 19 0.25 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G I 26 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H S 22 2 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I S 29 2 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J I 28 0.5 1</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" 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> [1] -0.50096961 -0.27264058 0.11352599 -0.05965490 -0.17279077 -0.22166036</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.04514514 -0.03730406 0.78189474 0.32445439</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.03769893 -0.40858317 0.58133901 -0.40733070 0.47139759 0.01703862</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.53378217 -0.20375172 -0.07522511 -0.47096776</span>
<span class="r-in"><span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span> <span class="op">&lt;-</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span>, <span class="fu">where</span><span class="op">(</span><span class="va">is.mic</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "gent" and "tobr"</span>
<span class="r-in"><span><span class="va">y</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/order.html" class="external-link">order</a></span><span class="op">(</span><span class="va">y</span><span class="op">$</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> 1 A I 27 0.5 4 -0.8642174</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F S 31 2 &lt;=1 -0.8028441</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B I 27 2 2 -0.4075594</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H R 21 4 &lt;=1 -0.3768727</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D I 27 4 2 0.0184120</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I R 31 4 2 0.0184120</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G S 26 1 &gt;=16 0.3523234</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E I 22 4 4 0.4136967</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J S 30 4 4 0.4136967</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C S 20 &gt;=8 8 1.2349528</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D S 29 0.5 1 -0.97204037</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J I 28 0.5 1 -0.97204037</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B I 24 0.5 2 -0.33817468</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C R 30 2 1 -0.30782920</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I S 29 2 1 -0.30782920</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F R 19 0.25 4 -0.03641457</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H S 22 2 2 0.32603649</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A I 22 4 2 0.65814207</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E I 30 4 2 0.65814207</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G I 26 4 4 1.29200776</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>
@ -266,16 +266,16 @@
<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 S 20 &gt;=8 8 0.11352599 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 G S 26 1 &gt;=16 0.04514514 0.06838084</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 H R 21 4 &lt;=1 -0.03730406 0.15083004</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D I 27 4 2 -0.05965490 0.17318088</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 J S 30 4 4 0.32445439 0.21092841</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 E I 22 4 4 -0.17279077 0.28631675</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 F S 31 2 &lt;=1 -0.22166036 0.33518634</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 B I 27 2 2 -0.27264058 0.38616657</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 A I 27 0.5 4 -0.50096961 0.61449559</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 I R 31 4 2 0.78189474 0.66836876</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C R 30 2 1 0.58133901 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 G I 26 4 4 0.53378217 0.04755684</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 E I 30 4 2 0.47139759 0.10994142</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 F R 19 0.25 4 0.01703862 0.56430040</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 A I 22 4 2 -0.03769893 0.61903794</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 I S 29 2 1 -0.07522511 0.65656413</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 H S 22 2 2 -0.20375172 0.78509073</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 D S 29 0.5 1 -0.40733070 0.98866971</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 B I 24 0.5 2 -0.40858317 0.98992219</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J I 28 0.5 1 -0.47096776 1.05230677</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
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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

2
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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

52
reference/mo_matching_score.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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">
@ -165,12 +165,12 @@
<p>With ambiguous user input in <code><a href="as.mo.html">as.mo()</a></code> and all the <code><a href="mo_property.html">mo_*</a></code> functions, the returned results are chosen based on their matching score using <code>mo_matching_score()</code>. This matching score \(m\), is calculated as:</p>
<p><img src="figures/mo_matching_score.png" width="300" alt="mo matching score"></p>
<p>where:</p><ul><li><p>\(x\) is the user input;</p></li>
<li><p><i>n</i> is a taxonomic name (genus, species, and subspecies);</p></li>
<li><p><i>l<sub>n</sub></i> is the length of <i>n</i>;</p></li>
<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 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>
<li><p>\(n\) is a taxonomic name (genus, species, and subspecies);</p></li>
<li><p>\(l_n\) is the length of \(n\);</p></li>
<li><p>\(lev\) 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 \(x\) into \(n\);</p></li>
<li><p>\(p_{n}\) is the human pathogenic prevalence group of \(n\), as described below;</p></li>
<li><p>\(k_n\) is the taxonomic kingdom of \(n\), 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 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 = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any genus present in the <strong>established</strong> list also has <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
@ -194,30 +194,32 @@
<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"><a href="as.mo.html">as.mo</a></span><span class="op">(</span><span class="st">"E. coli"</span><span class="op">)</span></span></span>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="as.mo.html">mo_reset_session</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Reset 17 previously matched input values.</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu"><a href="as.mo.html">as.mo</a></span><span class="op">(</span><span class="st">"E. coli"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
<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 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> taxonomic name, and the pathogenicity in humans. 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), Klebsiella pasteurii (0.500), Klebsiella planticola (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kingella potus (0.400), Kosakonia pseudosacchari (0.361), Kaistella</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> palustris (0.333), Kocuria palustris (0.333), Kocuria pelophila</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.333), Kocuria polaris (0.333), Kroppenstedtia pulmonis (0.304),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium phytohabitans (0.282), Kitasatospora putterlickiae</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.269), Kibdelosporangium philippinense (0.266), Kalamiella piersonii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.262), Kitasatospora psammotica (0.260), Kallotenue papyrolyticum</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.250), Kangiella profundi (0.250), Kangsaoukella pontilimi (0.250),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Katagnymene pelagic (0.250), Keratinibaculum paraultunense (0.250),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium persicum (0.250), Kitasatoa purpurea (0.250) and</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kitasatospora paracochleata (0.250) [showing first 25]</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> "E. coli" -&gt; Escherichia coli (B_ESCHR_COLI, 0.688)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Based on input "E coli"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Also matched: Enterobacter cowanii (0.600), Eubacterium combesii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.583), Enterococcus casseliflavus (0.577), Enterobacter cloacae</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> cloacae (0.571), Ehrlichia canis (0.567), Enterobacter cloacae</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> dissolvens (0.565), Eikenella corrodens (0.553), Erwinia cancerogena</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.553), Enterobacter cloacae (0.550), Enterococcus cecorum (0.550),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Ehrlichia chaffeensis (0.548), Enterobacter cancerogena (0.542),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Enterobacter cancerogenus (0.540), Ezakiella coagulans (0.484),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Effusibacillus consociatus (0.462), Enterococcus crotali (0.433),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Erwinia coffeiphila (0.404), Eubacterium coprostanoligenes (0.402),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Enterococcus columbae (0.397), Enterococcus camelliae (0.394) and</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Eubacterium cellulosolvens (0.385) [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>

34
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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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">
@ -411,21 +411,21 @@
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>All functions will, at default, <strong>not</strong> keep old taxonomic properties, as synonyms are automatically replaced with the current taxonomy. Take for example <em>Escherichia blattae</em>, which was renamed to <em>Shimwellia blattae</em> in 2010:</p><ul><li><p><code>mo_genus("Escherichia blattae")</code> will return <code>"Shemwellia"</code> (with a note about the renaming)</p></li>
<li><p><code>mo_genus("Escherichia blattae", keep_synonyms = TRUE)</code> will return <code>"Escherichia"</code> (with a warning that the name is outdated)</p></li>
<li><p><code>mo_ref("Escherichia blattae")</code> will return <code>"Priest et al., 2010"</code> (with a note)</p></li>
<li><p><code>mo_ref("Escherichia blattae", keep_synonyms = TRUE)</code> will return <code>"Burgess et al., 1973"</code> (with a warning)</p></li>
</ul><p>The short name (<code>mo_shortname()</code>) returns the first character of the genus and the full species, such as <code>"E. coli"</code>, for species and subspecies. Exceptions are abbreviations of staphylococci (such as <em>"CoNS"</em>, Coagulase-Negative Staphylococci) and beta-haemolytic streptococci (such as <em>"GBS"</em>, Group B Streptococci). Please bear in mind that e.g. <em>E. coli</em> could mean <em>Escherichia coli</em> (kingdom of Bacteria) as well as <em>Entamoeba coli</em> (kingdom of Protozoa). Returning to the full name will be done using <code><a href="as.mo.html">as.mo()</a></code> internally, giving priority to bacteria and human pathogens, i.e. <code>"E. coli"</code> will be considered <em>Escherichia coli</em>. In other words, <code>mo_fullname(mo_shortname("Entamoeba coli"))</code> returns <code>"Escherichia coli"</code>.</p>
<p>All functions will, at default, <strong>not</strong> keep old taxonomic properties, as synonyms are automatically replaced with the current taxonomy. Take for example <em>Enterobacter aerogenes</em>, which was initially named in 1960 but renamed to <em>Klebsiella aerogenes</em> in 2017:</p><ul><li><p><code>mo_genus("Enterobacter aerogenes")</code> will return <code>"Klebsiella"</code> (with a note about the renaming)</p></li>
<li><p><code>mo_genus("Enterobacter aerogenes", keep_synonyms = TRUE)</code> will return <code>"Enterobacter"</code> (with a once-per-session warning that the name is outdated)</p></li>
<li><p><code>mo_ref("Enterobacter aerogenes")</code> will return <code>"Tindall et al., 2017"</code> (with a note)</p></li>
<li><p><code>mo_ref("Enterobacter aerogenes", keep_synonyms = TRUE)</code> will return <code>"Hormaeche et al., 1960"</code> (with a warning)</p></li>
</ul><p>The short name (<code>mo_shortname()</code>) returns the first character of the genus and the full species, such as <code>"E. coli"</code>, for species and subspecies. Exceptions are abbreviations of staphylococci (such as <em>"CoNS"</em>, Coagulase-Negative Staphylococci) and beta-haemolytic streptococci (such as <em>"GBS"</em>, Group B Streptococci). Please bear in mind that e.g. <em>E. coli</em> could mean <em>Escherichia coli</em> (kingdom of Bacteria) as well as <em>Entamoeba coli</em> (kingdom of Protozoa). Returning to the full name will be done using <code><a href="as.mo.html">as.mo()</a></code> internally, giving priority to bacteria and human pathogens, i.e. <code>"E. coli"</code> will be considered <em>Escherichia coli</em>. As a result, <code>mo_fullname(mo_shortname("Entamoeba coli"))</code> returns <code>"Escherichia coli"</code>.</p>
<p>Since the top-level of the taxonomy is sometimes referred to as 'kingdom' and sometimes as 'domain', the functions <code>mo_kingdom()</code> and <code>mo_domain()</code> return the exact same results.</p>
<p>Determination of human pathogenicity (<code>mo_pathogenicity()</code>) is strongly based on 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>
). This function returns a <a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a> with the levels <em>Pathogenic</em>, <em>Potentially pathogenic</em>, <em>Non-pathogenic</em>, and <em>Unknown</em>.</p>
<p>Determination of the Gram stain (<code>mo_gramstain()</code>) will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, <a href="https://pubmed.ncbi.nlm.nih.gov/11837318/" class="external-link">PMID 11837318</a>), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, <a href="https://pubmed.ncbi.nlm.nih.gov/34694987/" class="external-link">PMID 34694987</a>). Bacteria in these phyla are considered Gram-positive in this <code>AMR</code> package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value <code>NA</code>. Functions <code>mo_is_gram_negative()</code> and <code>mo_is_gram_positive()</code> always return <code>TRUE</code> or <code>FALSE</code> (or <code>NA</code> when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p>
<p>Determination of the Gram stain (<code>mo_gramstain()</code>) will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, <a href="https://pubmed.ncbi.nlm.nih.gov/11837318/" class="external-link">PMID 11837318</a>), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were later renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, <a href="https://pubmed.ncbi.nlm.nih.gov/34694987/" class="external-link">PMID 34694987</a>). Bacteria in these phyla are considered Gram-positive in this <code>AMR</code> package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value <code>NA</code>. Functions <code>mo_is_gram_negative()</code> and <code>mo_is_gram_positive()</code> always return <code>TRUE</code> or <code>FALSE</code> (or <code>NA</code> when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p>
<p>Determination of yeasts (<code>mo_is_yeast()</code>) will be based on the taxonomic kingdom and class. <em>Budding yeasts</em> are fungi of the phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). <em>True yeasts</em> are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are member of the taxonomic class Saccharomycetes, the function will return <code>TRUE</code>. It returns <code>FALSE</code> otherwise (or <code>NA</code> when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>).</p>
<p>Determination of intrinsic resistance (<code>mo_is_intrinsic_resistant()</code>) will be based on the <a href="intrinsic_resistant.html">intrinsic_resistant</a> data set, which is based on <a href="https://www.eucast.org/expert_rules_and_expected_phenotypes/" class="external-link">'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3</a> (2021). The <code>mo_is_intrinsic_resistant()</code> function can be vectorised over both argument <code>x</code> (input for microorganisms) and <code>ab</code> (input for antibiotics).</p>
<p>All output <a href="translate.html">will be translated</a> where possible.</p>
<p>The function <code>mo_url()</code> will return the direct URL to the online database entry, which also shows the scientific reference of the concerned species.</p>
<p>SNOMED codes (<code>mo_snomed()</code>) are from the version of 1 July, 2021. See <em>Source</em> and the <a href="microorganisms.html">microorganisms</a> data set for more info.</p>
<p>Old taxonomic names (so-called 'synonyms') can be retrieved with <code>mo_synonyms()</code>, the current taxonomic name can be retrieved with <code>mo_current()</code>. Both functions return full names.</p>
<p>All output <a href="translate.html">will be translated</a> where possible.</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>
@ -570,14 +570,14 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Lancefield classification, see ?as.mo ------------------------------------</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">mo_fullname</span><span class="op">(</span><span class="st">"S. pyo"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Streptococcus pyogenes"</span>
<span class="r-in"><span><span class="fu">mo_fullname</span><span class="op">(</span><span class="st">"S. pyo"</span>, Lancefield <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] "Streptococcus Group A"</span>
<span class="r-in"><span><span class="fu">mo_shortname</span><span class="op">(</span><span class="st">"S. pyo"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "S. pyogenes"</span>
<span class="r-in"><span><span class="fu">mo_shortname</span><span class="op">(</span><span class="st">"S. pyo"</span>, Lancefield <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] "GAS"</span>
<span class="r-in"><span><span class="fu">mo_fullname</span><span class="op">(</span><span class="st">"Strep Group B"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Streptococcus Group B"</span>
<span class="r-in"><span><span class="fu">mo_fullname</span><span class="op">(</span><span class="st">"Strep Group B"</span>, Lancefield <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] "Streptococcus Group B"</span>
<span class="r-in"><span><span class="fu">mo_shortname</span><span class="op">(</span><span class="st">"Strep Group B"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "GBS"</span>
<span class="r-in"><span><span class="fu">mo_shortname</span><span class="op">(</span><span class="st">"Strep Group B"</span>, Lancefield <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] "GBS"</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># language support --------------------------------------------------------</span></span></span>
@ -593,7 +593,7 @@
<span class="r-in"><span><span class="fu">mo_gramstain</span><span class="op">(</span><span class="st">"Klebsiella pneumoniae"</span>, language <span class="op">=</span> <span class="st">"uk"</span><span class="op">)</span> <span class="co"># Ukrainian</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Грамнегативні"</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># mo_type is equal to mo_kingdom, but mo_kingdom will remain official</span></span></span>
<span class="r-in"><span><span class="co"># mo_type is equal to mo_kingdom, but mo_kingdom will remain untranslated</span></span></span>
<span class="r-in"><span><span class="fu">mo_kingdom</span><span class="op">(</span><span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Bacteria"</span>
<span class="r-in"><span><span class="fu">mo_type</span><span class="op">(</span><span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span></span></span>

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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="">1.8.2.9088</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="">1.8.2.9086</small>
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2
reference/proportion.html
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@ -12,7 +12,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
<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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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34
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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">
@ -183,42 +183,42 @@
<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] 0.125 0.01 32 1 16 256 32 0.01 64 0.005 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 1 32 256 0.0625 0.0625 1 32 1 0.125 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 0.0625 0.005 32 1 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.005 0.025 16 0.002 1 1 8 2 64 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.125 8 256 0.001 0.0625 4 4 16 0.01 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 0.125 16 8 0.005 256 </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] 38 34 36 19 43 49 42 38 43 49 28 27 13 35 50 21 42 48 13 46 13 7 45 18 42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 43 42 49 41 7 15 8 46 35 41 14 32 43 26 27 21 45 38 49 50 37 45 6 28 20</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 R R I R I I I S I I R R R R R R I R S R R S I I</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] I S S R S R I I I I I R I I S S S R R I S S I S I</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] 4 0.25 2 &gt;=128 0.025 0.025 32 0.5 0.002 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 2 0.0625 32 0.005 0.005 64 0.25 2 64 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 8 &lt;=0.001 &lt;=0.001 16 0.5 0.005 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8 0.0625 0.25 64 0.5 16 0.005 0.125 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 4 4 0.5 1 0.025 2 0.025 32 0.0625 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] &lt;=0.002 0.005 1 0.5 4 32 0.01 </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] &lt;=1 2 32 2 32 2 8 16 16 4 32 16 4 32 16 4 2 8 &lt;=1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [20] 32 4 2 16 4 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8 4 16 16 2 8 16 16 8 16 16 2 &lt;=1 16 4 &lt;=1 16 &lt;=1 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [20] 16 2 16 &lt;=1 8 4 </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 &gt;=8 1 4 4 1 0.025 0.125 0.5 &gt;=8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.0625 0.025 4 0.25 0.25 0.5 0.125 0.0625 1 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 2 0.5 0.5 0.0625 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &lt;=0.125 0.25 &gt;=4 1 1 0.5 &lt;=0.125 0.25 &gt;=4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.25 1 0.25 &gt;=4 0.5 2 &gt;=4 &gt;=4 0.5 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 2 &lt;=0.125 1 0.25 2 &lt;=0.125 &gt;=4 </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] 40 27 35 42 49 47 43 26 29 28 14 8 24 40 23 49 40 26 10 37 15 8 36 40 42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 27 23 48 33 20 30 48 15 19 46 27 14 27 39 10 50 23 50 11 37 29 35 33 12 18</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] 11 14 17 14 16 17 13 14 17 13 13 13 16 16 11 13 16 11 12 14 15 11 14 13 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 14 14 14 16 13 15 17 12 14 11 11 14 13 11 17 17 17 16 17 17 17 17 13 15 17</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] 25 22 20 23 18 22 15 16 24 20 23 21 15 18 17 16 23 19 19 18 20 21 20 24 25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 25 16 20 15 23 26 16 22 15 22 15 15 25 20 20 20 15 24 15 25 15 21 20 18 25</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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

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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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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">

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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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</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] 0.01056538</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.02145504</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="">1.8.2.9086</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9088</small>
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