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@ -30,7 +30,7 @@
<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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">

613
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@ -29,7 +29,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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">
@ -95,7 +95,7 @@
website update since they are based on randomly created values and the
page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
Markdown</a>. However, the methodology remains unchanged. This page was
generated on 19 September 2024.</p>
generated on 22 September 2024.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -151,21 +151,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2024-09-19</td>
<td align="center">2024-09-22</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">2024-09-19</td>
<td align="center">2024-09-22</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">2024-09-19</td>
<td align="center">2024-09-22</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
@ -702,114 +702,114 @@ previously mentioned antibiotic class selectors:</p>
<span><span class="co">#&gt; (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)</span></span>
<span><span class="co">#&gt; ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)</span></span></code></pre></div>
<table class="table">
<colgroup>
<col width="16%">
<col width="14%">
<col width="13%">
<col width="14%">
<col width="10%">
<col width="14%">
<col width="13%">
</colgroup>
<thead><tr class="header">
<th align="left">Pathogen (N min-max)</th>
<th align="right">AMK</th>
<th align="right">GEN</th>
<th align="right">IPM</th>
<th align="right">KAN</th>
<th align="right">MEM</th>
<th align="right">TOB</th>
<th align="left">Pathogen</th>
<th align="left">Amikacin</th>
<th align="left">Gentamicin</th>
<th align="left">Imipenem</th>
<th align="left">Kanamycin</th>
<th align="left">Meropenem</th>
<th align="left">Tobramycin</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">CoNS (43-309)</td>
<td align="right">0</td>
<td align="right">86</td>
<td align="right">52</td>
<td align="right">0</td>
<td align="right">52</td>
<td align="right">22</td>
<td align="left">CoNS</td>
<td align="left">0% (0/43)</td>
<td align="left">86% (267/309)</td>
<td align="left">52% (25/48)</td>
<td align="left">0% (0/43)</td>
<td align="left">52% (25/48)</td>
<td align="left">22% (12/55)</td>
</tr>
<tr class="even">
<td align="left">
<em>E. coli</em> (0-462)</td>
<td align="right">100</td>
<td align="right">98</td>
<td align="right">100</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">97</td>
<td align="left"><em>E. coli</em></td>
<td align="left">100% (171/171)</td>
<td align="left">98% (451/460)</td>
<td align="left">100% (422/422)</td>
<td align="left"></td>
<td align="left">100% (418/418)</td>
<td align="left">97% (450/462)</td>
</tr>
<tr class="odd">
<td align="left">
<em>E. faecalis</em> (0-39)</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right">100</td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="left"><em>E. faecalis</em></td>
<td align="left">0% (0/39)</td>
<td align="left">0% (0/39)</td>
<td align="left">100% (38/38)</td>
<td align="left">0% (0/39)</td>
<td align="left"></td>
<td align="left">0% (0/39)</td>
</tr>
<tr class="even">
<td align="left">
<em>K. pneumoniae</em> (0-58)</td>
<td align="right"></td>
<td align="right">90</td>
<td align="right">100</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">90</td>
<td align="left"><em>K. pneumoniae</em></td>
<td align="left"></td>
<td align="left">90% (52/58)</td>
<td align="left">100% (51/51)</td>
<td align="left"></td>
<td align="left">100% (53/53)</td>
<td align="left">90% (52/58)</td>
</tr>
<tr class="odd">
<td align="left">
<em>P. aeruginosa</em> (17-30)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right"></td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">100</td>
<td align="left"><em>P. aeruginosa</em></td>
<td align="left"></td>
<td align="left">100% (30/30)</td>
<td align="left"></td>
<td align="left">0% (0/30)</td>
<td align="left"></td>
<td align="left">100% (30/30)</td>
</tr>
<tr class="even">
<td align="left">
<em>P. mirabilis</em> (0-34)</td>
<td align="right"></td>
<td align="right">94</td>
<td align="right">94</td>
<td align="right"></td>
<td align="right"></td>
<td align="right">94</td>
<td align="left"><em>P. mirabilis</em></td>
<td align="left"></td>
<td align="left">94% (32/34)</td>
<td align="left">94% (30/32)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left">94% (32/34)</td>
</tr>
<tr class="odd">
<td align="left">
<em>S. aureus</em> (2-233)</td>
<td align="right"></td>
<td align="right">99</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">98</td>
<td align="left"><em>S. aureus</em></td>
<td align="left"></td>
<td align="left">99% (231/233)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">98% (84/86)</td>
</tr>
<tr class="even">
<td align="left">
<em>S. epidermidis</em> (8-163)</td>
<td align="right">0</td>
<td align="right">79</td>
<td align="right"></td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">51</td>
<td align="left"><em>S. epidermidis</em></td>
<td align="left">0% (0/44)</td>
<td align="left">79% (128/163)</td>
<td align="left"></td>
<td align="left">0% (0/44)</td>
<td align="left"></td>
<td align="left">51% (45/89)</td>
</tr>
<tr class="odd">
<td align="left">
<em>S. hominis</em> (3-80)</td>
<td align="right"></td>
<td align="right">92</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">85</td>
<td align="left"><em>S. hominis</em></td>
<td align="left"></td>
<td align="left">92% (74/80)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">85% (53/62)</td>
</tr>
<tr class="even">
<td align="left">
<em>S. pneumoniae</em> (11-117)</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="left"><em>S. pneumoniae</em></td>
<td align="left">0% (0/117)</td>
<td align="left">0% (0/117)</td>
<td align="left"></td>
<td align="left">0% (0/117)</td>
<td align="left"></td>
<td align="left">0% (0/117)</td>
</tr>
</tbody>
</table>
@ -832,33 +832,33 @@ language to be Spanish using the <code>language</code> argument:</p>
<span><span class="co">#&gt; (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)</span></span></code></pre></div>
<table class="table">
<colgroup>
<col width="35%">
<col width="14%">
<col width="17%">
<col width="15%">
<col width="17%">
<col width="20%">
<col width="20%">
<col width="22%">
<col width="16%">
<col width="20%">
</colgroup>
<thead><tr class="header">
<th align="left">Patógeno (N min-max)</th>
<th align="right">Amikacina</th>
<th align="right">Gentamicina</th>
<th align="right">Kanamicina</th>
<th align="right">Tobramicina</th>
<th align="left">Patógeno</th>
<th align="left">Amikacina</th>
<th align="left">Gentamicina</th>
<th align="left">Kanamicina</th>
<th align="left">Tobramicina</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">Gram negativo (35-686)</td>
<td align="right">98</td>
<td align="right">96</td>
<td align="right">0</td>
<td align="right">96</td>
<td align="left">Gram negativo</td>
<td align="left">98% (251/256)</td>
<td align="left">96% (659/684)</td>
<td align="left">0% (0/35)</td>
<td align="left">96% (658/686)</td>
</tr>
<tr class="even">
<td align="left">Gram positivo (436-1170)</td>
<td align="right">0</td>
<td align="right">63</td>
<td align="right">0</td>
<td align="right">34</td>
<td align="left">Gram positivo</td>
<td align="left">0% (0/436)</td>
<td align="left">63% (740/1170)</td>
<td align="left">0% (0/436)</td>
<td align="left">34% (228/665)</td>
</tr>
</tbody>
</table>
@ -872,74 +872,72 @@ a plus <code>+</code> character like this:</p>
<code class="sourceCode R"><span><span class="fu"><a href="../reference/antibiogram.html">antibiogram</a></span><span class="op">(</span><span class="va">example_isolates</span>,</span>
<span> antibiotics <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"TZP"</span>, <span class="st">"TZP+TOB"</span>, <span class="st">"TZP+GEN"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
<table class="table">
<colgroup>
<col width="14%">
<col width="20%">
<col width="32%">
<col width="32%">
</colgroup>
<thead><tr class="header">
<th align="left">Pathogen (N min-max)</th>
<th align="right">TZP</th>
<th align="right">TZP + GEN</th>
<th align="right">TZP + TOB</th>
<th align="left">Pathogen</th>
<th align="left">Piperacillin/tazobactam</th>
<th align="left">Piperacillin/tazobactam + Gentamicin</th>
<th align="left">Piperacillin/tazobactam + Tobramycin</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">CoNS (29-274)</td>
<td align="right">30</td>
<td align="right">97</td>
<td align="right"></td>
<td align="left">CoNS</td>
<td align="left">30% (10/33)</td>
<td align="left">97% (267/274)</td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">
<em>E. coli</em> (416-461)</td>
<td align="right">94</td>
<td align="right">100</td>
<td align="right">99</td>
<td align="left"><em>E. coli</em></td>
<td align="left">94% (393/416)</td>
<td align="left">100% (457/459)</td>
<td align="left">99% (455/461)</td>
</tr>
<tr class="odd">
<td align="left">
<em>K. pneumoniae</em> (53-58)</td>
<td align="right">89</td>
<td align="right">93</td>
<td align="right">93</td>
<td align="left"><em>K. pneumoniae</em></td>
<td align="left">89% (47/53)</td>
<td align="left">93% (54/58)</td>
<td align="left">93% (54/58)</td>
</tr>
<tr class="even">
<td align="left">
<em>P. aeruginosa</em> (27-30)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">100</td>
<td align="left"><em>P. aeruginosa</em></td>
<td align="left"></td>
<td align="left">100% (30/30)</td>
<td align="left">100% (30/30)</td>
</tr>
<tr class="odd">
<td align="left">
<em>P. mirabilis</em> (27-34)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">100</td>
<td align="left"><em>P. mirabilis</em></td>
<td align="left"></td>
<td align="left">100% (34/34)</td>
<td align="left">100% (34/34)</td>
</tr>
<tr class="even">
<td align="left">
<em>S. aureus</em> (7-231)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">100</td>
<td align="left"><em>S. aureus</em></td>
<td align="left"></td>
<td align="left">100% (231/231)</td>
<td align="left">100% (91/91)</td>
</tr>
<tr class="odd">
<td align="left">
<em>S. epidermidis</em> (5-128)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">100</td>
<td align="left"><em>S. epidermidis</em></td>
<td align="left"></td>
<td align="left">100% (128/128)</td>
<td align="left">100% (46/46)</td>
</tr>
<tr class="even">
<td align="left">
<em>S. hominis</em> (0-74)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">100</td>
<td align="left"><em>S. hominis</em></td>
<td align="left"></td>
<td align="left">100% (74/74)</td>
<td align="left">100% (53/53)</td>
</tr>
<tr class="odd">
<td align="left">
<em>S. pneumoniae</em> (112-112)</td>
<td align="right">100</td>
<td align="right">100</td>
<td align="right">100</td>
<td align="left"><em>S. pneumoniae</em></td>
<td align="left">100% (112/112)</td>
<td align="left">100% (112/112)</td>
<td align="left">100% (112/112)</td>
</tr>
</tbody>
</table>
@ -959,176 +957,165 @@ argument must be used. This can be any column in the data, or e.g. an
<span><span class="co">#&gt; ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)</span></span></code></pre></div>
<table class="table">
<colgroup>
<col width="25%">
<col width="37%">
<col width="6%">
<col width="6%">
<col width="6%">
<col width="6%">
<col width="6%">
<col width="6%">
<col width="13%">
<col width="14%">
<col width="12%">
<col width="12%">
<col width="12%">
<col width="8%">
<col width="12%">
<col width="12%">
</colgroup>
<thead><tr class="header">
<th align="left">Syndromic Group</th>
<th align="left">Pathogen (N min-max)</th>
<th align="right">AMK</th>
<th align="right">GEN</th>
<th align="right">IPM</th>
<th align="right">KAN</th>
<th align="right">MEM</th>
<th align="right">TOB</th>
<th align="left">Pathogen</th>
<th align="left">Amikacin</th>
<th align="left">Gentamicin</th>
<th align="left">Imipenem</th>
<th align="left">Kanamycin</th>
<th align="left">Meropenem</th>
<th align="left">Tobramycin</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">Clinical</td>
<td align="left">CoNS (23-205)</td>
<td align="right"></td>
<td align="right">89</td>
<td align="right">57</td>
<td align="right"></td>
<td align="right">57</td>
<td align="right">26</td>
<td align="left">CoNS</td>
<td align="left"></td>
<td align="left">89% (183/205)</td>
<td align="left">57% (20/35)</td>
<td align="left"></td>
<td align="left">57% (20/35)</td>
<td align="left">26% (8/31)</td>
</tr>
<tr class="even">
<td align="left">ICU</td>
<td align="left">CoNS (10-73)</td>
<td align="right"></td>
<td align="right">79</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="left">CoNS</td>
<td align="left"></td>
<td align="left">79% (58/73)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">Outpatient</td>
<td align="left">CoNS (3-31)</td>
<td align="right"></td>
<td align="right">84</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="left">CoNS</td>
<td align="left"></td>
<td align="left">84% (26/31)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">Clinical</td>
<td align="left">
<em>E. coli</em> (0-299)</td>
<td align="right">100</td>
<td align="right">98</td>
<td align="right">100</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">98</td>
<td align="left"><em>E. coli</em></td>
<td align="left">100% (104/104)</td>
<td align="left">98% (291/297)</td>
<td align="left">100% (266/266)</td>
<td align="left"></td>
<td align="left">100% (276/276)</td>
<td align="left">98% (293/299)</td>
</tr>
<tr class="odd">
<td align="left">ICU</td>
<td align="left">
<em>E. coli</em> (0-137)</td>
<td align="right">100</td>
<td align="right">99</td>
<td align="right">100</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">96</td>
<td align="left"><em>E. coli</em></td>
<td align="left">100% (52/52)</td>
<td align="left">99% (135/137)</td>
<td align="left">100% (133/133)</td>
<td align="left"></td>
<td align="left">100% (118/118)</td>
<td align="left">96% (132/137)</td>
</tr>
<tr class="even">
<td align="left">Clinical</td>
<td align="left">
<em>K. pneumoniae</em> (0-51)</td>
<td align="right"></td>
<td align="right">92</td>
<td align="right">100</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right">92</td>
<td align="left"><em>K. pneumoniae</em></td>
<td align="left"></td>
<td align="left">92% (47/51)</td>
<td align="left">100% (44/44)</td>
<td align="left"></td>
<td align="left">100% (46/46)</td>
<td align="left">92% (47/51)</td>
</tr>
<tr class="odd">
<td align="left">Clinical</td>
<td align="left">
<em>P. mirabilis</em> (0-30)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">100</td>
<td align="left"><em>P. mirabilis</em></td>
<td align="left"></td>
<td align="left">100% (30/30)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">100% (30/30)</td>
</tr>
<tr class="even">
<td align="left">Clinical</td>
<td align="left">
<em>S. aureus</em> (2-150)</td>
<td align="right"></td>
<td align="right">99</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">97</td>
<td align="left"><em>S. aureus</em></td>
<td align="left"></td>
<td align="left">99% (148/150)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">97% (61/63)</td>
</tr>
<tr class="odd">
<td align="left">ICU</td>
<td align="left">
<em>S. aureus</em> (0-66)</td>
<td align="right"></td>
<td align="right">100</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="left"><em>S. aureus</em></td>
<td align="left"></td>
<td align="left">100% (66/66)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">Clinical</td>
<td align="left">
<em>S. epidermidis</em> (4-79)</td>
<td align="right"></td>
<td align="right">82</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">55</td>
<td align="left"><em>S. epidermidis</em></td>
<td align="left"></td>
<td align="left">82% (65/79)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">55% (24/44)</td>
</tr>
<tr class="odd">
<td align="left">ICU</td>
<td align="left">
<em>S. epidermidis</em> (4-75)</td>
<td align="right"></td>
<td align="right">72</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">41</td>
<td align="left"><em>S. epidermidis</em></td>
<td align="left"></td>
<td align="left">72% (54/75)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">41% (17/41)</td>
</tr>
<tr class="even">
<td align="left">Clinical</td>
<td align="left">
<em>S. hominis</em> (1-45)</td>
<td align="right"></td>
<td align="right">96</td>
<td align="right"></td>
<td align="right"></td>
<td align="right"></td>
<td align="right">94</td>
<td align="left"><em>S. hominis</em></td>
<td align="left"></td>
<td align="left">96% (43/45)</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left">94% (29/31)</td>
</tr>
<tr class="odd">
<td align="left">Clinical</td>
<td align="left">
<em>S. pneumoniae</em> (5-78)</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="left"><em>S. pneumoniae</em></td>
<td align="left">0% (0/78)</td>
<td align="left">0% (0/78)</td>
<td align="left"></td>
<td align="left">0% (0/78)</td>
<td align="left"></td>
<td align="left">0% (0/78)</td>
</tr>
<tr class="even">
<td align="left">ICU</td>
<td align="left">
<em>S. pneumoniae</em> (5-30)</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="right"></td>
<td align="right">0</td>
<td align="left"><em>S. pneumoniae</em></td>
<td align="left">0% (0/30)</td>
<td align="left">0% (0/30)</td>
<td align="left"></td>
<td align="left">0% (0/30)</td>
<td align="left"></td>
<td align="left">0% (0/30)</td>
</tr>
</tbody>
</table>
@ -1155,53 +1142,53 @@ just gives an idea of how a WISCA can be created:</p>
<span><span class="va">wisca</span></span></code></pre></div>
<table class="table">
<colgroup>
<col width="23%">
<col width="35%">
<col width="5%">
<col width="14%">
<col width="5%">
<col width="9%">
<col width="8%">
<col width="17%">
<col width="26%">
<col width="14%">
<col width="22%">
</colgroup>
<thead><tr class="header">
<th align="left">Syndromic Group</th>
<th align="left">Pathogen (N min-max)</th>
<th align="right">AMC</th>
<th align="right">AMC + CIP</th>
<th align="right">TZP</th>
<th align="right">TZP + TOB</th>
<th align="left">Pathogen</th>
<th align="left">Amoxicillin/clavulanic acid</th>
<th align="left">Amoxicillin/clavulanic acid + Ciprofloxacin</th>
<th align="left">Piperacillin/tazobactam</th>
<th align="left">Piperacillin/tazobactam + Tobramycin</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">WISCA Group 1</td>
<td align="left">Gram-negative (261-285)</td>
<td align="right">76</td>
<td align="right">95</td>
<td align="right">89</td>
<td align="right">99</td>
<td align="left">Gram-negative</td>
<td align="left">76% (216/285)</td>
<td align="left">95% (270/284)</td>
<td align="left">89% (231/261)</td>
<td align="left">99% (270/274)</td>
</tr>
<tr class="even">
<td align="left">WISCA Group 2</td>
<td align="left">Gram-negative (380-442)</td>
<td align="right">76</td>
<td align="right">98</td>
<td align="right">88</td>
<td align="right">98</td>
<td align="left">Gram-negative</td>
<td align="left">76% (336/441)</td>
<td align="left">98% (432/442)</td>
<td align="left">88% (334/380)</td>
<td align="left">98% (409/419)</td>
</tr>
<tr class="odd">
<td align="left">WISCA Group 1</td>
<td align="left">Gram-positive (123-406)</td>
<td align="right">76</td>
<td align="right">89</td>
<td align="right">81</td>
<td align="right">95</td>
<td align="left">Gram-positive</td>
<td align="left">76% (310/406)</td>
<td align="left">89% (347/392)</td>
<td align="left">81% (100/123)</td>
<td align="left">95% (184/193)</td>
</tr>
<tr class="even">
<td align="left">WISCA Group 2</td>
<td align="left">Gram-positive (222-732)</td>
<td align="right">76</td>
<td align="right">89</td>
<td align="right">88</td>
<td align="right">95</td>
<td align="left">Gram-positive</td>
<td align="left">76% (556/732)</td>
<td align="left">89% (617/695)</td>
<td align="left">88% (196/222)</td>
<td align="left">95% (340/357)</td>
</tr>
</tbody>
</table>

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@ -29,7 +29,7 @@
<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="">2.1.1.9077</small>
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@ -29,7 +29,7 @@
<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="">2.1.1.9077</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -84,7 +84,7 @@
<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">19 September 2024</h4>
<h4 data-toc-skip class="date">22 September 2024</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/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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@ -29,7 +29,7 @@
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@ -29,7 +29,7 @@
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authors.html
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@ -7,7 +7,7 @@
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@ -32,7 +32,7 @@
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
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@ -53,18 +53,18 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="2.1.1.9077" id="amr-2119077">AMR 2.1.1.9077<a class="anchor" aria-label="anchor" href="#amr-2119077"></a></h2>
<h2 class="pkg-version" data-toc-text="2.1.1.9078" id="amr-2119078">AMR 2.1.1.9078<a class="anchor" aria-label="anchor" href="#amr-2119078"></a></h2>
<p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using <a href="https://msberends.github.io/AMR/#latest-development-version">the instructions here</a>.)</em></p>
<div class="section level5">
<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9077">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9077"></a></h5>
<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9078">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9078"></a></h5>
<p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island’s Atlantic Veterinary College</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
</div>
<div class="section level3">
<h3 id="breaking-2-1-1-9077">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9077"></a></h3>
<h3 id="breaking-2-1-1-9078">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9078"></a></h3>
<ul><li>Removed all functions and references that used the deprecated <code>rsi</code> class, which were all replaced with their <code>sir</code> equivalents over a year ago</li>
</ul></div>
<div class="section level3">
<h3 id="new-2-1-1-9077">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9077"></a></h3>
<h3 id="new-2-1-1-9078">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9078"></a></h3>
<ul><li>One Health implementation
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now has extensive support for animal breakpoints from CLSI. Use <code>breakpoint_type = "animal"</code> and set the <code>host</code> argument to a variable that contains animal species names.</li>
<li>The <code>clinical_breakpoints</code> data set contains all these breakpoints, and can be downloaded on our <a href="https://msberends.github.io/AMR/articles/datasets.html">download page</a>.</li>
@ -101,13 +101,19 @@
</ul></li>
</ul></div>
<div class="section level3">
<h3 id="changed-2-1-1-9077">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9077"></a></h3>
<h3 id="changed-2-1-1-9078">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9078"></a></h3>
<ul><li>SIR interpretation
<ul><li>It is now possible to use column names for argument <code>ab</code>, <code>mo</code>, and <code>uti</code>: <code>as.sir(..., ab = "column1", mo = "column2", uti = "column3")</code>. This greatly improves the flexibility for users.</li>
<li>Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and NI.</li>
<li>To get quantitative values, <code><a href="https://rdrr.io/r/base/double.html" class="external-link">as.double()</a></code> on a <code>sir</code> object will return 1 for S, 2 for SDD/I, and 3 for R (NI will become <code>NA</code>). Other functions using <code>sir</code> classes (e.g., <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code>) are updated to reflect the change to contain NI and SDD.</li>
</ul></li>
<li>
<code><a href="../reference/antibiogram.html">antibiogram()</a></code> function
<ul><li>New argument <code>formatting_type</code> to set any of the 12 options for the formatting of all ‘cells’. This defaults to <code>10</code>, changing the output of antibiograms to cells with <code>5% (15/300)</code> instead of the previous standard of just <code>5</code>.</li>
<li>For this reason, <code>add_total_n</code> is now <code>FALSE</code> at default since the denominators are added to the cells</li>
<li>The <code>ab_transform</code> argument now defaults to <code>"name"</code>, displaying antibiotic column names instead of codes</li>
</ul></li>
<li>
<code>antibiotics</code> data set
<ul><li>Added “clindamycin inducible screening” as <code>CLI1</code>. Since clindamycin is a lincosamide, the antibiotic selector <code><a href="../reference/antibiotic_class_selectors.html">lincosamides()</a></code> now contains the argument <code>only_treatable = TRUE</code> (similar to other antibiotic selectors that contain non-treatable drugs)</li>
<li>Added Amorolfine (<code>AMO</code>, D01AE16), which is now also part of the <code><a href="../reference/antibiotic_class_selectors.html">antifungals()</a></code> selector</li>
@ -141,7 +147,7 @@
<li>Fixed a bug for when <code><a href="../reference/antibiogram.html">antibiogram()</a></code> returns an empty data set</li>
</ul></div>
<div class="section level3">
<h3 id="other-2-1-1-9077">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9077"></a></h3>
<h3 id="other-2-1-1-9078">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9078"></a></h3>
<ul><li>Greatly updated and expanded documentation</li>
<li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
</ul></div>

2
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@ -11,7 +11,7 @@ articles:
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
WHONET: WHONET.html
last_built: 2024-09-19T12:44Z
last_built: 2024-09-22T09:52Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles

5
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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">
@ -62,7 +62,8 @@
<h2 id="options">Options<a class="anchor" aria-label="anchor" href="#options"></a></h2>
<ul><li><p><code>AMR_breakpoint_type</code> <br> A <a href="https://rdrr.io/r/base/character.html" class="external-link">character</a> to use in <code><a href="as.sir.html">as.sir()</a></code>, to indicate which breakpoint type to use. This must be either "ECOFF", "animal", or "human".</p></li>
<ul><li><p><code>AMR_antibiogram_formatting_type</code> <br> A <a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a> (1-12) to use in <code><a href="antibiogram.html">antibiogram()</a></code>, to indicate which formatting type to use.</p></li>
<li><p><code>AMR_breakpoint_type</code> <br> A <a href="https://rdrr.io/r/base/character.html" class="external-link">character</a> to use in <code><a href="as.sir.html">as.sir()</a></code>, to indicate which breakpoint type to use. This must be either "ECOFF", "animal", or "human".</p></li>
<li><p><code>AMR_cleaning_regex</code> <br> A <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> (case-insensitive) to use in <code><a href="as.mo.html">as.mo()</a></code> and all <code><a href="mo_property.html">mo_*</a></code> functions, to clean the user input. The default is the outcome of <code><a href="as.mo.html">mo_cleaning_regex()</a></code>, which removes texts between brackets and texts such as "species" and "serovar".</p></li>
<li><p><code>AMR_custom_ab</code> <br> A file location to an RDS file, to use custom antimicrobial drugs with this package. This is explained in <code><a href="add_custom_antimicrobials.html">add_custom_antimicrobials()</a></code>.</p></li>
<li><p><code>AMR_custom_mo</code> <br> A file location to an RDS file, to use custom microorganisms with this package. This is explained in <code><a href="add_custom_microorganisms.html">add_custom_microorganisms()</a></code>.</p></li>

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@ -116,16 +116,16 @@
<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 1965-12-05 58 58.78962 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.55191 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.88251 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.59563 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.58197 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.69126 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 27 27.06284 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.64754 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 52 52.25683 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 38 38.10929 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.79781 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.56011 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.89071 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.60383 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.59016 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.69945 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 27 27.07104 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.65574 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 52 52.26503 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 38 38.11749 13</span>
</code></pre></div>
</div>
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@ -7,7 +7,7 @@
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@ -48,13 +48,13 @@
</nav><div class="container template-reference-topic">
<div class="row">
<main id="main" class="col-md-9"><div class="page-header">
<img src="../logo.svg" class="logo" alt=""><h1>Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA)</h1>
<img src="../logo.svg" class="logo" alt=""><h1>Generate Traditional, Combination, Syndromic, or WISCA Antibiograms</h1>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/R/antibiogram.R" class="external-link"><code>R/antibiogram.R</code></a></small>
<div class="d-none name"><code>antibiogram.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Generate an antibiogram, and communicate the results in plots or tables. These functions follow the logic of Klinker <em>et al.</em> and Barbieri <em>et al.</em> (see <em>Source</em>), and allow reporting in e.g. R Markdown and Quarto as well.</p>
<p>Create detailed antibiograms with options for traditional, combination, syndromic, and Bayesian WISCA methods. Based on the approaches of Klinker <em>et al.</em>, Barbieri <em>et al.</em>, and the Bayesian WISCA model (Weighted-Incidence Syndromic Combination Antibiogram) by Bielicki <em>et al.</em>, this function provides flexible output formats including plots and tables, ideal for integration with R Markdown and Quarto reports.</p>
</div>
<div class="section level2">
@ -63,11 +63,12 @@
<span> <span class="va">x</span>,</span>
<span> antibiotics <span class="op">=</span> <span class="fu"><a href="https://tidyselect.r-lib.org/reference/where.html" class="external-link">where</a></span><span class="op">(</span><span class="va">is.sir</span><span class="op">)</span>,</span>
<span> mo_transform <span class="op">=</span> <span class="st">"shortname"</span>,</span>
<span> ab_transform <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span> ab_transform <span class="op">=</span> <span class="st">"name"</span>,</span>
<span> syndromic_group <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span> add_total_n <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span> add_total_n <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span> only_all_tested <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span> digits <span class="op">=</span> <span class="fl">0</span>,</span>
<span> formatting_type <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_antibiogram_formatting_type"</span>, <span class="fl">10</span><span class="op">)</span>,</span>
<span> col_mo <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span> language <span class="op">=</span> <span class="fu"><a href="translate.html">get_AMR_locale</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> minimum <span class="op">=</span> <span class="fl">30</span>,</span>
@ -94,7 +95,8 @@
<div class="section level2">
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
<ul><li><p>Klinker KP <em>et al.</em> (2021). <strong>Antimicrobial stewardship and antibiograms: importance of moving beyond traditional antibiograms</strong>. <em>Therapeutic Advances in Infectious Disease</em>, May 5;8:20499361211011373; <a href="https://doi.org/10.1177/20499361211011373" class="external-link">doi:10.1177/20499361211011373</a></p></li>
<ul><li><p>Bielicki JA <em>et al.</em> (2016). <strong>Selecting appropriate empirical antibiotic regimens for paediatric bloodstream infections: application of a Bayesian decision model to local and pooled antimicrobial resistance surveillance data</strong> <em>Journal of Antimicrobial Chemotherapy</em> 71(3); <a href="https://doi.org/10.1093/jac/dkv397" class="external-link">doi:10.1093/jac/dkv397</a></p></li>
<li><p>Klinker KP <em>et al.</em> (2021). <strong>Antimicrobial stewardship and antibiograms: importance of moving beyond traditional antibiograms</strong>. <em>Therapeutic Advances in Infectious Disease</em>, May 5;8:20499361211011373; <a href="https://doi.org/10.1177/20499361211011373" class="external-link">doi:10.1177/20499361211011373</a></p></li>
<li><p>Barbieri E <em>et al.</em> (2021). <strong>Development of a Weighted-Incidence Syndromic Combination Antibiogram (WISCA) to guide the choice of the empiric antibiotic treatment for urinary tract infection in paediatric patients: a Bayesian approach</strong> <em>Antimicrobial Resistance &amp; Infection Control</em> May 1;10(1):74; <a href="https://doi.org/10.1186/s13756-021-00939-2" class="external-link">doi:10.1186/s13756-021-00939-2</a></p></li>
<li><p><strong>M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 5th Edition</strong>, 2022, <em>Clinical and Laboratory Standards Institute (CLSI)</em>. <a href="https://clsi.org/standards/products/microbiology/documents/m39/" class="external-link">https://clsi.org/standards/products/microbiology/documents/m39/</a>.</p></li>
</ul></div>
@ -111,11 +113,11 @@
<dt id="arg-mo-transform">mo_transform<a class="anchor" aria-label="anchor" href="#arg-mo-transform"></a></dt>
<dd><p>a character to transform microorganism input - must be "name", "shortname", "gramstain", or one of the column names of the <a href="microorganisms.html">microorganisms</a> data set: "mo", "fullname", "status", "kingdom", "phylum", "class", "order", "family", "genus", "species", "subspecies", "rank", "ref", "oxygen_tolerance", "source", "lpsn", "lpsn_parent", "lpsn_renamed_to", "mycobank", "mycobank_parent", "mycobank_renamed_to", "gbif", "gbif_parent", "gbif_renamed_to", "prevalence", or "snomed". Can also be <code>NULL</code> to not transform the input.</p></dd>
<dd><p>a character to transform microorganism input - must be <code>"name"</code>, <code>"shortname"</code> (default), <code>"gramstain"</code>, or one of the column names of the <a href="microorganisms.html">microorganisms</a> data set: "mo", "fullname", "status", "kingdom", "phylum", "class", "order", "family", "genus", "species", "subspecies", "rank", "ref", "oxygen_tolerance", "source", "lpsn", "lpsn_parent", "lpsn_renamed_to", "mycobank", "mycobank_parent", "mycobank_renamed_to", "gbif", "gbif_parent", "gbif_renamed_to", "prevalence", or "snomed". Can also be <code>NULL</code> to not transform the input.</p></dd>
<dt id="arg-ab-transform">ab_transform<a class="anchor" aria-label="anchor" href="#arg-ab-transform"></a></dt>
<dd><p>a character to transform antibiotic input - must be one of the column names of the <a href="antibiotics.html">antibiotics</a> data set: "ab", "cid", "name", "group", "atc", "atc_group1", "atc_group2", "abbreviations", "synonyms", "oral_ddd", "oral_units", "iv_ddd", "iv_units", or "loinc". Can also be <code>NULL</code> to not transform the input.</p></dd>
<dd><p>a character to transform antibiotic input - must be one of the column names of the <a href="antibiotics.html">antibiotics</a> data set (defaults to "name"): "ab", "cid", "name", "group", "atc", "atc_group1", "atc_group2", "abbreviations", "synonyms", "oral_ddd", "oral_units", "iv_ddd", "iv_units", or "loinc". Can also be <code>NULL</code> to not transform the input.</p></dd>
<dt id="arg-syndromic-group">syndromic_group<a class="anchor" aria-label="anchor" href="#arg-syndromic-group"></a></dt>
@ -131,7 +133,11 @@
<dt id="arg-digits">digits<a class="anchor" aria-label="anchor" href="#arg-digits"></a></dt>
<dd><p>number of digits to use for rounding</p></dd>
<dd><p>number of digits to use for rounding the susceptibility percentage</p></dd>
<dt id="arg-formatting-type">formatting_type<a class="anchor" aria-label="anchor" href="#arg-formatting-type"></a></dt>
<dd><p>numeric value (1–12) indicating how the 'cells' of the antibiogram table should be formatted. See <em>Details</em> &gt; <em>Formatting Type</em> for a list of options.</p></dd>
<dt id="arg-col-mo">col_mo<a class="anchor" aria-label="anchor" href="#arg-col-mo"></a></dt>
@ -177,13 +183,33 @@
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>This function returns a table with values between 0 and 100 for <em>susceptibility</em>, not resistance.</p>
<p><strong>Remember that you should filter your data to let it contain only first isolates!</strong> This is needed to exclude duplicates and to reduce selection bias. Use <code><a href="first_isolate.html">first_isolate()</a></code> to determine them in your data set with one of the four available algorithms.</p>
<p>All types of antibiograms as listed below can be plotted (using <code><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">ggplot2::autoplot()</a></code> or base <span style="R">R</span> <code><a href="plot.html">plot()</a></code>/<code><a href="https://rdrr.io/r/graphics/barplot.html" class="external-link">barplot()</a></code>). The <code>antibiogram</code> object can also be used directly in R Markdown / Quarto (i.e., <code>knitr</code>) for reports. In this case, <code><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">knitr::kable()</a></code> will be applied automatically and microorganism names will even be printed in italics at default (see argument <code>italicise</code>). You can also use functions from specific 'table reporting' packages to transform the output of <code>antibiogram()</code> to your needs, e.g. with <code>flextable::as_flextable()</code> or <code>gt::gt()</code>.</p><div class="section">
<p><strong>Remember that you should filter your data to let it contain only first isolates!</strong> This is needed to exclude duplicates and to reduce selection bias. Use <code><a href="first_isolate.html">first_isolate()</a></code> to determine them in your data set with one of the four available algorithms.</p><div class="section">
<h3 id="formatting-type">Formatting Type<a class="anchor" aria-label="anchor" href="#formatting-type"></a></h3>
<p>The formatting of the 'cells' of the table can be set with the argument <code>formatting_type</code>. In these examples, <code>5</code> is the susceptibility percentage, <code>15</code> the numerator, and <code>300</code> the denominator:</p><ol><li><p>5</p></li>
<li><p>15</p></li>
<li><p>300</p></li>
<li><p>15/300</p></li>
<li><p>5 (300)</p></li>
<li><p>5% (300)</p></li>
<li><p>5 (N=300)</p></li>
<li><p>5% (N=300)</p></li>
<li><p>5 (15/300)</p></li>
<li><p>5% (15/300)</p></li>
<li><p>5 (N=15/300)</p></li>
<li><p>5% (N=15/300)</p></li>
</ol><p>The default is <code>10</code>, which can be set globally with the <a href="AMR-options.html">package option</a> <code><a href="AMR-options.html">AMR_antibiogram_formatting_type</a></code>, e.g. <code>options(AMR_antibiogram_formatting_type = 5)</code>.</p>
<p>Set <code>digits</code> (defaults to <code>0</code>) to alter the rounding of the susceptibility percentage.</p>
</div>
<div class="section">
<h3 id="antibiogram-types">Antibiogram Types<a class="anchor" aria-label="anchor" href="#antibiogram-types"></a></h3>
<p>There are four antibiogram types, as proposed by Klinker <em>et al.</em> (2021, <a href="https://doi.org/10.1177/20499361211011373" class="external-link">doi:10.1177/20499361211011373</a>
), and they are all supported by <code>antibiogram()</code>:</p><ol><li><p><strong>Traditional Antibiogram</strong></p>
<p>There are four antibiogram types, as summarised by Klinker <em>et al.</em> (2021, <a href="https://doi.org/10.1177/20499361211011373" class="external-link">doi:10.1177/20499361211011373</a>
), and they are all supported by <code>antibiogram()</code>. Use WISCA whenever possible, since it provides precise coverage estimates by accounting for pathogen incidence and antimicrobial susceptibility. See the section <em>Why Use WISCA?</em> on this page.</p>
<p>The four antibiogram types:</p><ol><li><p><strong>Traditional Antibiogram</strong></p>
<p>Case example: Susceptibility of <em>Pseudomonas aeruginosa</em> to piperacillin/tazobactam (TZP)</p>
<p>Code example:</p>
<p></p><div class="sourceCode r"><pre><code><span><span class="fu"><a href="../reference/antibiogram.html">antibiogram</a></span><span class="op">(</span><span class="va">your_data</span>,</span>
@ -200,6 +226,7 @@
<span> antibiotics <span class="op">=</span> <span class="fu"><a href="../reference/antibiotic_class_selectors.html">penicillins</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> syndromic_group <span class="op">=</span> <span class="st">"ward"</span><span class="op">)</span></span></code></pre><p></p></div></li>
<li><p><strong>Weighted-Incidence Syndromic Combination Antibiogram (WISCA)</strong></p>
<p>WISCA enhances empirical antibiotic selection by weighting the incidence of pathogens in specific clinical syndromes and combining them with their susceptibility data. It provides an estimation of regimen coverage by aggregating pathogen incidences and susceptibilities across potential causative organisms. See also the section <em>Why Use WISCA?</em> on this page.</p>
<p>Case example: Susceptibility of <em>Pseudomonas aeruginosa</em> to TZP among respiratory specimens (obtained among ICU patients only) for male patients age &gt;=65 years with heart failure</p>
<p>Code example:</p>
<p></p><div class="sourceCode r"><pre><code><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
@ -209,8 +236,15 @@
<span> syndromic_group <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">.</span><span class="op">$</span><span class="va">age</span> <span class="op">&gt;=</span> <span class="fl">65</span> <span class="op">&amp;</span></span>
<span> <span class="va">.</span><span class="op">$</span><span class="va">gender</span> <span class="op">==</span> <span class="st">"Male"</span> <span class="op">&amp;</span></span>
<span> <span class="va">.</span><span class="op">$</span><span class="va">condition</span> <span class="op">==</span> <span class="st">"Heart Disease"</span>,</span>
<span> <span class="st">"Study Group"</span>, <span class="st">"Control Group"</span><span class="op">)</span><span class="op">)</span></span></code></pre><p></p></div></li>
</ol><p>Note that for combination antibiograms, it is important to realise that susceptibility can be calculated in two ways, which can be set with the <code>only_all_tested</code> argument (default is <code>FALSE</code>). See this example for two antibiotics, Drug A and Drug B, about how <code>antibiogram()</code> works to calculate the %SI:</p>
<span> <span class="st">"Study Group"</span>, <span class="st">"Control Group"</span><span class="op">)</span><span class="op">)</span></span></code></pre><p></p></div>
<p>WISCA uses a sophisticated Bayesian decision model to combine both local and pooled antimicrobial resistance data. This approach not only evaluates local patterns but can also draw on multi-centre datasets to improve regimen accuracy, even in low-incidence infections like paediatric bloodstream infections (BSIs).</p></li>
</ol></div>
<div class="section">
<h3 id="inclusion-in-combination-antibiogram-and-syndromic-antibiogram">Inclusion in Combination Antibiogram and Syndromic Antibiogram<a class="anchor" aria-label="anchor" href="#inclusion-in-combination-antibiogram-and-syndromic-antibiogram"></a></h3>
<p>Note that for types 2 and 3 (Combination Antibiogram and Syndromic Antibiogram), it is important to realise that susceptibility can be calculated in two ways, which can be set with the <code>only_all_tested</code> argument (default is <code>FALSE</code>). See this example for two antibiotics, Drug A and Drug B, about how <code>antibiogram()</code> works to calculate the %SI:</p>
<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a> only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span> only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a> <span class="sc">-----------------------</span> <span class="sc">-----------------------</span></span>
@ -229,6 +263,26 @@
<span id="cb1-16"><a href="#cb1-16" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
</div>
<div class="section">
<h3 id="plotting">Plotting<a class="anchor" aria-label="anchor" href="#plotting"></a></h3>
<p>All types of antibiograms as listed above can be plotted (using <code><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">ggplot2::autoplot()</a></code> or base <span style="R">R</span>'s <code><a href="plot.html">plot()</a></code> and <code><a href="https://rdrr.io/r/graphics/barplot.html" class="external-link">barplot()</a></code>).</p>
<p>THe outcome of <code>antibiogram()</code> can also be used directly in R Markdown / Quarto (i.e., <code>knitr</code>) for reports. In this case, <code><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">knitr::kable()</a></code> will be applied automatically and microorganism names will even be printed in italics at default (see argument <code>italicise</code>).</p>
<p>You can also use functions from specific 'table reporting' packages to transform the output of <code>antibiogram()</code> to your needs, e.g. with <code>flextable::as_flextable()</code> or <code>gt::gt()</code>.</p>
</div>
</div>
<div class="section level2">
<h2 id="why-use-wisca-">Why Use WISCA?<a class="anchor" aria-label="anchor" href="#why-use-wisca-"></a></h2>
<p>WISCA is a powerful tool for guiding empirical antibiotic therapy because it provides precise coverage estimates by accounting for pathogen incidence and antimicrobial susceptibility. This is particularly important in empirical treatment, where the causative pathogen is often unknown at the outset. Traditional antibiograms do not reflect the weighted likelihood of specific pathogens based on clinical syndromes, which can lead to suboptimal treatment choices.</p>
<p>The Bayesian WISCA, as described by Bielicki <em>et al.</em> (2016), improves on earlier methods by handling uncertainties common in smaller datasets, such as low-incidence infections. This method offers a significant advantage by:</p><ol><li><p>Pooling Data from Multiple Sources:<br> WISCA uses pooled data from multiple hospitals or surveillance sources to overcome limitations of small sample sizes at individual institutions, allowing for more confident selection of narrow-spectrum antibiotics or combinations.</p></li>
<li><p>Bayesian Framework:<br> The Bayesian decision tree model accounts for both local data and prior knowledge (such as inherent resistance patterns) to estimate regimen coverage. It allows for a more precise estimation of coverage, even in cases where susceptibility data is missing or incomplete.</p></li>
<li><p>Incorporating Pathogen and Regimen Uncertainty:<br> WISCA allows clinicians to see the likelihood that an empirical regimen will be effective against all relevant pathogens, taking into account uncertainties related to both pathogen prevalence and antimicrobial resistance. This leads to better-informed, data-driven clinical decisions.</p></li>
<li><p>Scenarios for Optimising Treatment:<br> For hospitals or settings with low-incidence infections, WISCA helps determine whether local data is sufficient or if pooling with external data is necessary. It also identifies statistically significant differences or similarities between antibiotic regimens, enabling clinicians to choose optimal therapies with greater confidence.</p></li>
</ol><p>WISCA is essential in optimising empirical treatment by shifting away from broad-spectrum antibiotics, which are often overused in empirical settings. By offering precise estimates based on syndromic patterns and pooled data, WISCA supports antimicrobial stewardship by guiding more targeted therapy, reducing unnecessary broad-spectrum use, and combating the rise of antimicrobial resistance.</p>
</div>
<div class="section level2">
@ -267,18 +321,18 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># An Antibiogram: 10 × 7</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Pathogen (N min-max)` AMK GEN IPM KAN MEM TOB</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> CoNS (43-309) 0 86 52 0 52 22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> E. coli (0-462) 100 98 100 <span style="color: #BB0000;">NA</span> 100 97</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> E. faecalis (0-39) 0 0 100 0 <span style="color: #BB0000;">NA</span> 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> K. pneumoniae (0-58) <span style="color: #BB0000;">NA</span> 90 100 <span style="color: #BB0000;">NA</span> 100 90</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> P. aeruginosa (17-30) <span style="color: #BB0000;">NA</span> 100 <span style="color: #BB0000;">NA</span> 0 <span style="color: #BB0000;">NA</span> 100</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> P. mirabilis (0-34) <span style="color: #BB0000;">NA</span> 94 94 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 94</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> S. aureus (2-233) <span style="color: #BB0000;">NA</span> 99 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 98</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> S. epidermidis (8-163) 0 79 <span style="color: #BB0000;">NA</span> 0 <span style="color: #BB0000;">NA</span> 51</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> S. hominis (3-80) <span style="color: #BB0000;">NA</span> 92 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 85</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> S. pneumoniae (11-117) 0 0 <span style="color: #BB0000;">NA</span> 0 <span style="color: #BB0000;">NA</span> 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Pathogen Amikacin Gentamicin Imipenem Kanamycin Meropenem Tobramycin</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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;chr&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> CoNS 0% (0/43) 86% (267/… 52% (25… 0% (0/43) 52% (25/… 22% (12/5…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> E. coli 100% (171/… 98% (451/… 100% (4… <span style="color: #BB0000;">NA</span> 100% (41… 97% (450/…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> E. faecalis 0% (0/39) 0% (0/39) 100% (3… 0% (0/39) <span style="color: #BB0000;">NA</span> 0% (0/39) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> K. pneumoniae <span style="color: #BB0000;">NA</span> 90% (52/5… 100% (5… <span style="color: #BB0000;">NA</span> 100% (53… 90% (52/5…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> P. aeruginosa <span style="color: #BB0000;">NA</span> 100% (30/… <span style="color: #BB0000;">NA</span> 0% (0/30) <span style="color: #BB0000;">NA</span> 100% (30/…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> P. mirabilis <span style="color: #BB0000;">NA</span> 94% (32/3… 94% (30… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 94% (32/3…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> S. aureus <span style="color: #BB0000;">NA</span> 99% (231/… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 98% (84/8…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> S. epidermidis 0% (0/44) 79% (128/… <span style="color: #BB0000;">NA</span> 0% (0/44) <span style="color: #BB0000;">NA</span> 51% (45/8…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> S. hominis <span style="color: #BB0000;">NA</span> 92% (74/8… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 85% (53/6…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> S. pneumoniae 0% (0/117) 0% (0/117) <span style="color: #BB0000;">NA</span> 0% (0/11… <span style="color: #BB0000;">NA</span> 0% (0/117)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -290,10 +344,10 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># An Antibiogram: 2 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Pathogen (N min-max)` J01GB01 J01GB03 J01GB04 J01GB06</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Gram-negative (35-686) 96 96 0 98</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Gram-positive (436-1170) 34 63 0 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Pathogen J01GB01 J01GB03 J01GB04 J01GB06 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Gram-negative 96% (658/686) 96% (659/684) 0% (0/35) 98% (251/256)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Gram-positive 34% (228/665) 63% (740/1170) 0% (0/436) 0% (0/436) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -304,13 +358,13 @@
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># An Antibiogram: 5 × 3</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Pathogen (N min-max)` Imipenem Meropenem</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Coagulase-negative Staphylococcus (CoNS) (48-48) 52 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Enterococcus faecalis (0-38) 100 <span style="color: #BB0000;">NA</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Escherichia coli (418-422) 100 100</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae (51-53) 100 100</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> Proteus mirabilis (27-32) 94 <span style="color: #BB0000;">NA</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Pathogen Imipenem Meropenem </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Coagulase-negative Staphylococcus (CoNS) 52% (25/48) 52% (25/48) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Enterococcus faecalis 100% (38/38) <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Escherichia coli 100% (422/422) 100% (418/418)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae 100% (51/51) 100% (53/53) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> Proteus mirabilis 94% (30/32) <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -323,10 +377,13 @@
<span class="r-in"><span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</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;"># An Antibiogram: 2 × 4</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Pathogen (N min-max)` TZP `TZP + GEN` `TZP + TOB`</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Gram-negative (641-693) 88 99 98</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Gram-positive (345-1044) 86 98 95</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Pathogen Piperacillin/tazobac…¹ Piperacillin/tazobac…² Piperacillin/tazobac…³</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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> Gram-neg… 88% (565/641) 99% (681/691) 98% (679/693) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Gram-pos… 86% (296/345) 98% (1018/1044) 95% (524/550) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ abbreviated names: ¹​`Piperacillin/tazobactam`,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ²​`Piperacillin/tazobactam + Gentamicin`,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ³​`Piperacillin/tazobactam + Tobramycin`</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -338,10 +395,10 @@
<span class="r-in"><span> sep <span class="op">=</span> <span class="st">" &amp; "</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;"># An Antibiogram: 2 × 3</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Pathogen (N min-max)` Ciprofloxacin `Ciprofloxacin &amp; Gentamicin`</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Gram-negative (684-694) 91 99</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Gram-positive (724-847) 77 93</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Pathogen Ciprofloxacin `Ciprofloxacin &amp; Gentamicin`</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Gram-negative 91% (621/684) 99% (684/694) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> Gram-positive 77% (560/724) 93% (784/847) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -357,22 +414,23 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># An Antibiogram: 14 × 8</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Syndromic Group` `Pathogen (N min-max)` AMK GEN IPM KAN MEM TOB</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Clinical CoNS (23-205) <span style="color: #BB0000;">NA</span> 89 57 <span style="color: #BB0000;">NA</span> 57 26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> ICU CoNS (10-73) <span style="color: #BB0000;">NA</span> 79 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Outpatient CoNS (3-31) <span style="color: #BB0000;">NA</span> 84 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical E. coli (0-299) 100 98 100 <span style="color: #BB0000;">NA</span> 100 98</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> ICU E. coli (0-137) 100 99 100 <span style="color: #BB0000;">NA</span> 100 96</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical K. pneumoniae (0-51) <span style="color: #BB0000;">NA</span> 92 100 <span style="color: #BB0000;">NA</span> 100 92</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical P. mirabilis (0-30) <span style="color: #BB0000;">NA</span> 100 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 100</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical S. aureus (2-150) <span style="color: #BB0000;">NA</span> 99 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 97</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> ICU S. aureus (0-66) <span style="color: #BB0000;">NA</span> 100 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical S. epidermidis (4-79) <span style="color: #BB0000;">NA</span> 82 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> ICU S. epidermidis (4-75) <span style="color: #BB0000;">NA</span> 72 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> Clinical S. hominis (1-45) <span style="color: #BB0000;">NA</span> 96 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 94</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> Clinical S. pneumoniae (5-78) 0 0 <span style="color: #BB0000;">NA</span> 0 <span style="color: #BB0000;">NA</span> 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> ICU S. pneumoniae (5-30) 0 0 <span style="color: #BB0000;">NA</span> 0 <span style="color: #BB0000;">NA</span> 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Syndromic Group` Pathogen Amikacin Gentamicin Imipenem Kanamycin Meropenem</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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;chr&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> Clinical CoNS <span style="color: #BB0000;">NA</span> 89% (183/… 57% (20… <span style="color: #BB0000;">NA</span> 57% (20/…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> ICU CoNS <span style="color: #BB0000;">NA</span> 79% (58/7… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Outpatient CoNS <span style="color: #BB0000;">NA</span> 84% (26/3… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical E. coli 100% (1… 98% (291/… 100% (2… <span style="color: #BB0000;">NA</span> 100% (27…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> ICU E. coli 100% (5… 99% (135/… 100% (1… <span style="color: #BB0000;">NA</span> 100% (11…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical K. pneumo… <span style="color: #BB0000;">NA</span> 92% (47/5… 100% (4… <span style="color: #BB0000;">NA</span> 100% (46…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical P. mirabi… <span style="color: #BB0000;">NA</span> 100% (30/… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical S. aureus <span style="color: #BB0000;">NA</span> 99% (148/… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> ICU S. aureus <span style="color: #BB0000;">NA</span> 100% (66/… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical S. epider… <span style="color: #BB0000;">NA</span> 82% (65/7… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> ICU S. epider… <span style="color: #BB0000;">NA</span> 72% (54/7… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> Clinical S. hominis <span style="color: #BB0000;">NA</span> 96% (43/4… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> Clinical S. pneumo… 0% (0/7… 0% (0/78) <span style="color: #BB0000;">NA</span> 0% (0/78) <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> ICU S. pneumo… 0% (0/3… 0% (0/30) <span style="color: #BB0000;">NA</span> 0% (0/30) <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 1 more variable: Tobramycin &lt;chr&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -393,10 +451,10 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># An Antibiogram: 2 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Grupo sindrómico` `Patógeno (N min-max)` Amikacina Gentamicina Tobramicina</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> No UCI E. coli (0-325) 100 98 98</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> UCI E. coli (0-137) 100 99 96</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Grupo sindrómico` Patógeno Amikacina Gentamicina Tobramicina </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> No UCI E. coli 100% (119/119) 98% (316/323) 98% (318/325)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> UCI E. coli 100% (52/52) 99% (135/137) 96% (132/137)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -414,12 +472,16 @@
<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;"># An Antibiogram: 4 × 6</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Syndromic Group` `Pathogen (N min-max)` AMC `AMC + CIP` TZP `TZP + TOB`</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> WISCA Group 1 Gram-negative (261-285) 76 95 89 99</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> WISCA Group 2 Gram-negative (380-442) 76 98 88 98</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> WISCA Group 1 Gram-positive (123-406) 76 89 81 95</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> WISCA Group 2 Gram-positive (222-732) 76 89 88 95</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> `Syndromic Group` Pathogen Amoxicillin/clavulani…¹ Amoxicillin/clavulan…²</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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> WISCA Group 1 Gram-negative 76% (216/285) 95% (270/284) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> WISCA Group 2 Gram-negative 76% (336/441) 98% (432/442) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> WISCA Group 1 Gram-positive 76% (310/406) 89% (347/392) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> WISCA Group 2 Gram-positive 76% (556/732) 89% (617/695) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ abbreviated names: ¹​`Amoxicillin/clavulanic acid`,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ²​`Amoxicillin/clavulanic acid + Ciprofloxacin`</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 2 more variables: `Piperacillin/tazobactam` &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># `Piperacillin/tazobactam + Tobramycin` &lt;chr&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # Use `plot()` or `ggplot2::autoplot()` to create a plot of this antibiogram,</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> # or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span>
<span class="r-in"><span></span></span>
@ -439,12 +501,12 @@
<span class="r-in"><span><span class="op">}</span></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> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |Pathogen (N) | Piperacillin/tazobactam|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |:---------------------|-----------------------:|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |CoNS (33) | 30|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |*E. coli* (416) | 94|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |*K. pneumoniae* (53) | 89|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |*S. pneumoniae* (112) | 100|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |Pathogen |Piperacillin/tazobactam |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |:---------------|:-----------------------|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |CoNS |30% (10/33) |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |*E. coli* |94% (393/416) |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |*K. pneumoniae* |89% (47/53) |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |*S. pneumoniae* |100% (112/112) |</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Generate plots with ggplot2 or base R --------------------------------</span></span></span>

2
reference/antibiotic_class_selectors.html
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@ -9,7 +9,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/antibiotics.html
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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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2
reference/as.ab.html
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@ -7,7 +7,7 @@
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2
reference/as.av.html
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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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2
reference/as.disk.html
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@ -7,7 +7,7 @@
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2
reference/as.mic.html
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@ -7,7 +7,7 @@
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2
reference/as.mo.html
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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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22
reference/as.sir.html
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@ -21,7 +21,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<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="">2.1.1.9077</small>
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@ -781,16 +781,16 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 59 × 16</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_given mo_given host_given ab mo </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;chr&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;mo&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-09-19 <span style="color: #949494;">12:45:48</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-09-19 <span style="color: #949494;">12:45:55</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-09-19 <span style="color: #949494;">12:45:55</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-09-19 <span style="color: #949494;">12:45:56</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-09-19 <span style="color: #949494;">12:45:56</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-09-19 <span style="color: #949494;">12:45:48</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-09-19 <span style="color: #949494;">12:45:55</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-09-19 <span style="color: #949494;">12:45:55</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-09-19 <span style="color: #949494;">12:45:56</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-09-19 <span style="color: #949494;">12:45:56</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-09-22 <span style="color: #949494;">09:53:01</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-09-22 <span style="color: #949494;">09:53:08</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-09-22 <span style="color: #949494;">09:53:08</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-09-22 <span style="color: #949494;">09:53:09</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-09-22 <span style="color: #949494;">09:53:09</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-09-22 <span style="color: #949494;">09:53:01</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-09-22 <span style="color: #949494;">09:53:08</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-09-22 <span style="color: #949494;">09:53:08</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-09-22 <span style="color: #949494;">09:53:09</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-09-22 <span style="color: #949494;">09:53:09</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 49 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 9 more variables: host &lt;chr&gt;, method &lt;chr&gt;, input &lt;dbl&gt;, outcome &lt;sir&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span>

2
reference/atc_online.html
View File

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

@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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72
reference/bug_drug_combinations.html
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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -169,15 +169,15 @@
<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
<span class="r-in"><span><span class="va">x</span> <span class="op">&lt;-</span> <span class="fu">bug_drug_combinations</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">)</span></span></span>
<span class="r-in"><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">x</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 6 × 9</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab S SDD I R NI total N </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;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 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;lgl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> (unknown species) AMC 15 0 0 0 0 15 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> (unknown species) AMK 0 0 0 0 0 0 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> (unknown species) AMP 15 0 0 1 0 16 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> (unknown species) AMX 15 0 0 1 0 16 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> (unknown species) AZM 3 0 0 3 0 6 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> (unknown species) CAZ 0 0 0 0 0 0 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 6 × 8</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab S SDD I R NI total</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;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 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> (unknown species) AMC 15 0 0 0 0 15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> (unknown species) AMK 0 0 0 0 0 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> (unknown species) AMP 15 0 0 1 0 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> (unknown species) AMX 15 0 0 1 0 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> (unknown species) AZM 3 0 0 3 0 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> (unknown species) CAZ 0 0 0 0 0 0</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Use 'format()' on this result to get a publishable/printable format.</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/format.html" class="external-link">format</a></span><span class="op">(</span><span class="va">x</span>, translate_ab <span class="op">=</span> <span class="st">"name (atc)"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 39 × 12</span></span>
@ -201,19 +201,19 @@
<span class="r-in"><span><span class="fu">bug_drug_combinations</span><span class="op">(</span><span class="va">example_isolates</span>,</span></span>
<span class="r-in"><span> FUN <span class="op">=</span> <span class="va">mo_gramstain</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: 80 × 9</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab S SDD I R NI total N </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;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 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;lgl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Gram-negative AMC 463 0 89 174 0 726 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Gram-negative AMK 251 0 0 5 0 256 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Gram-negative AMP 226 0 0 405 0 631 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Gram-negative AMX 226 0 0 405 0 631 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Gram-negative AZM 1 0 2 696 0 699 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Gram-negative CAZ 607 0 0 27 0 634 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Gram-negative CHL 1 0 0 30 0 31 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Gram-negative CIP 610 0 11 63 0 684 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Gram-negative CLI 18 0 1 709 0 728 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Gram-negative COL 309 0 0 78 0 387 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 80 × 8</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab S SDD I R NI total</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;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 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> Gram-negative AMC 463 0 89 174 0 726</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Gram-negative AMK 251 0 0 5 0 256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Gram-negative AMP 226 0 0 405 0 631</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Gram-negative AMX 226 0 0 405 0 631</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Gram-negative AZM 1 0 2 696 0 699</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Gram-negative CAZ 607 0 0 27 0 634</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Gram-negative CHL 1 0 0 30 0 31</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Gram-negative CIP 610 0 11 63 0 684</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Gram-negative CLI 18 0 1 709 0 728</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Gram-negative COL 309 0 0 78 0 387</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 70 more rows</span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Use 'format()' on this result to get a publishable/printable format.</span>
<span class="r-in"><span></span></span>
@ -225,19 +225,19 @@
<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-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: 80 × 9</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab S SDD I R NI total N </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;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 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;lgl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> E. coli AMC 332 0 74 61 0 467 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> E. coli AMK 171 0 0 0 0 171 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> E. coli AMP 196 0 0 196 0 392 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> E. coli AMX 196 0 0 196 0 392 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> E. coli AZM 0 0 0 467 0 467 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> E. coli CAZ 449 0 0 11 0 460 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E. coli CHL 0 0 0 0 0 0 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> E. coli CIP 398 0 1 57 0 456 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> E. coli CLI 0 0 0 467 0 467 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> E. coli COL 240 0 0 0 0 240 <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 80 × 8</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab S SDD I R NI total</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</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;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 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> E. coli AMC 332 0 74 61 0 467</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> E. coli AMK 171 0 0 0 0 171</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> E. coli AMP 196 0 0 196 0 392</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> E. coli AMX 196 0 0 196 0 392</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> E. coli AZM 0 0 0 467 0 467</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> E. coli CAZ 449 0 0 11 0 460</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E. coli CHL 0 0 0 0 0 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> E. coli CIP 398 0 1 57 0 456</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> E. coli CLI 0 0 0 467 0 467</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> E. coli COL 240 0 0 0 0 240</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 70 more rows</span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Use 'format()' on this result to get a publishable/printable format.</span>
<span class="r-in"><span><span class="co"># }</span></span></span>

2
reference/clinical_breakpoints.html
View File

@ -13,7 +13,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/count.html
View File

@ -9,7 +9,7 @@ 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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/custom_eucast_rules.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/dosage.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/eucast_rules.html
View File

@ -9,7 +9,7 @@ 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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/example_isolates.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/example_isolates_unclean.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/export_ncbi_biosample.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/first_isolate.html
View File

@ -9,7 +9,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/g.test.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/get_episode.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/ggplot_pca.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</small>
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2
reference/ggplot_sir.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/guess_ab_col.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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">

4
reference/index.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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">
@ -201,7 +201,7 @@
<code><a href="antibiogram.html">antibiogram()</a></code> <code><a href="antibiogram.html">plot(<i>&lt;antibiogram&gt;</i>)</a></code> <code><a href="antibiogram.html">autoplot(<i>&lt;antibiogram&gt;</i>)</a></code> <code><a href="antibiogram.html">knit_print(<i>&lt;antibiogram&gt;</i>)</a></code>
</dt>
<dd>Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA)</dd>
<dd>Generate Traditional, Combination, Syndromic, or WISCA Antibiograms</dd>
</dl><dl><dt>
<code><a href="proportion.html">resistance()</a></code> <code><a href="proportion.html">susceptibility()</a></code> <code><a href="proportion.html">sir_confidence_interval()</a></code> <code><a href="proportion.html">proportion_R()</a></code> <code><a href="proportion.html">proportion_IR()</a></code> <code><a href="proportion.html">proportion_I()</a></code> <code><a href="proportion.html">proportion_SI()</a></code> <code><a href="proportion.html">proportion_S()</a></code> <code><a href="proportion.html">proportion_df()</a></code> <code><a href="proportion.html">sir_df()</a></code>

2
reference/intrinsic_resistant.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/join.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/key_antimicrobials.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/kurtosis.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/like.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/mdro.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/mean_amr_distance.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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.codes.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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.groups.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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
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@ -9,7 +9,7 @@ This data set is carefully crafted, yet made 100% reproducible from public and a
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/mo_matching_score.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/mo_property.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/mo_source.html
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@ -9,7 +9,7 @@ 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>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/pca.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/plot.html
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@ -9,7 +9,7 @@ Especially the scale_*_mic() functions are relevant wrappers to plot MIC values
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/proportion.html
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@ -9,7 +9,7 @@ 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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/random.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/resistance_predict.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/skewness.html
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@ -9,7 +9,7 @@ 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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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/translate.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9077</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9078</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
search.json
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