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<a class="navbar-brand me-2" href="https://amr-for-r.org/index.html">AMR (for R)</a> <a class="navbar-brand me-2" href="https://amr-for-r.org/index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a> <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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articles/PCA.html
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@@ -30,7 +30,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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@@ -196,7 +196,7 @@ function:</p>
<span><span class="co">#&gt; [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales"</span></span> <span><span class="co">#&gt; [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales"</span></span>
<span><span class="co">#&gt; Importance of components:</span></span> <span><span class="co">#&gt; Importance of components:</span></span>
<span><span class="co">#&gt; PC1 PC2 PC3 PC4 PC5 PC6 PC7</span></span> <span><span class="co">#&gt; PC1 PC2 PC3 PC4 PC5 PC6 PC7</span></span>
<span><span class="co">#&gt; Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 9.577e-17</span></span> <span><span class="co">#&gt; Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 1.232e-16</span></span>
<span><span class="co">#&gt; Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00</span></span> <span><span class="co">#&gt; Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00</span></span>
<span><span class="co">#&gt; Cumulative Proportion 0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00</span></span></code></pre></div> <span><span class="co">#&gt; Cumulative Proportion 0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00</span></span></code></pre></div>
<pre><code><span><span class="co">#&gt; Groups (n=4, named as 'order'):</span></span> <pre><code><span><span class="co">#&gt; Groups (n=4, named as 'order'):</span></span>

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articles/PCA.md
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@@ -119,7 +119,7 @@ summary(pca_result)
#> [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales" #> [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales"
#> Importance of components: #> Importance of components:
#> PC1 PC2 PC3 PC4 PC5 PC6 PC7 #> PC1 PC2 PC3 PC4 PC5 PC6 PC7
#> Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 9.577e-17 #> Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 1.232e-16
#> Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00 #> Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00
#> Cumulative Proportion 0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00 #> Cumulative Proportion 0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00
``` ```

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articles/WHONET.html
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@@ -30,7 +30,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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articles/WISCA.html
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@@ -30,7 +30,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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articles/datasets.html
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@@ -30,7 +30,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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@@ -441,7 +441,7 @@ column names:<br><em>ab</em>, <em>cid</em>, <em>name</em>, <em>group</em>, <em>a
<em>iv_ddd</em>, <em>iv_units</em>, and <em>loinc</em>.</p> <em>iv_ddd</em>, <em>iv_units</em>, and <em>loinc</em>.</p>
<p>This data set is in R available as <code>antimicrobials</code>, after <p>This data set is in R available as <code>antimicrobials</code>, after
you load the <code>AMR</code> package.</p> you load the <code>AMR</code> package.</p>
<p>It was last updated on 9 July 2026 15:14:59 UTC. Find more info about <p>It was last updated on 9 July 2026 19:05:33 UTC. Find more info about
the contents, (scientific) source, and structure of this <a href="https://amr-for-r.org/reference/antimicrobials.html">data set the contents, (scientific) source, and structure of this <a href="https://amr-for-r.org/reference/antimicrobials.html">data set
here</a>.</p> here</a>.</p>
<p><strong>Direct download links:</strong></p> <p><strong>Direct download links:</strong></p>

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articles/datasets.md
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@@ -100,7 +100,7 @@ names:
This data set is in R available as `antimicrobials`, after you load the This data set is in R available as `antimicrobials`, after you load the
`AMR` package. `AMR` package.
It was last updated on 9 July 2026 15:14:59 UTC. Find more info about It was last updated on 9 July 2026 19:05:33 UTC. Find more info about
the contents, (scientific) source, and structure of this [data set the contents, (scientific) source, and structure of this [data set
here](https://amr-for-r.org/reference/antimicrobials.html). here](https://amr-for-r.org/reference/antimicrobials.html).

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articles/index.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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authors.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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89
index.html
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@@ -33,7 +33,7 @@
<a class="navbar-brand me-2" href="index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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@@ -111,8 +111,9 @@
<div class="section level2"> <div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a> <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2> </h2>
<p>The <code>AMR</code> package is a peer-reviewed, <a href="#copyright">free and open-source</a> R package with <a href="https://en.wikipedia.org/wiki/Dependency_hell" class="external-link">zero dependencies</a> to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. <strong>Our aim is to provide a standard</strong> for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. We are a team of <a href="./authors.html">many different researchers</a> from around the globe to make this a successful and durable project! The <code>AMR</code> package was already cited <a href="https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;citation_for_view=sAoHvIgAAAAJ:0EnyYjriUFMC" class="external-link">over 100 times</a> in scientific research.</p> <p>The <code>AMR</code> package is a peer-reviewed, <a href="#copyright">free and open-source</a> R package with <a href="https://en.wikipedia.org/wiki/Dependency_hell" class="external-link">zero dependencies</a> to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods.</p>
<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~97 000 distinct microbial species</strong></a> (updated May 2026) and all <a href="./reference/antimicrobials.html"><strong>~620 antimicrobial and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <a href="https://www.rug.nl" class="external-link">University of Groningen</a> and the <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p> <p><strong>Our aim has always been to provide a standard</strong> for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. We are a team of <a href="./authors.html">many different researchers</a> from around the globe to make this a successful and durable project! The <code>AMR</code> package was already cited <a href="https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;citation_for_view=sAoHvIgAAAAJ:0EnyYjriUFMC" class="external-link">over 100 times</a> in scientific research.</p>
<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~97 000 distinct microbial species</strong></a> (updated mei 2026) and all <a href="./reference/antimicrobials.html"><strong>~620 antimicrobial and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <a href="https://www.rug.nl" class="external-link">University of Groningen</a> and the <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<div class="section level3"> <div class="section level3">
<h3 id="used-in-over-175-countries-available-in-28-languages">Used in over 175 countries, available in 28 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-available-in-28-languages"></a> <h3 id="used-in-over-175-countries-available-in-28-languages">Used in over 175 countries, available in 28 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-available-in-28-languages"></a>
</h3> </h3>
@@ -145,11 +146,13 @@
<span><span class="co">#&gt; ℹ Using column mo as input for `mo_fullname()`</span></span> <span><span class="co">#&gt; ℹ Using column mo as input for `mo_fullname()`</span></span>
<span><span class="co">#&gt; ℹ Using column mo as input for `mo_is_gram_negative()`</span></span> <span><span class="co">#&gt; ℹ Using column mo as input for `mo_is_gram_negative()`</span></span>
<span><span class="co">#&gt; ℹ Using column mo as input for `mo_is_intrinsic_resistant()`</span></span> <span><span class="co">#&gt; ℹ Using column mo as input for `mo_is_intrinsic_resistant()`</span></span>
<span><span class="co">#&gt; ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023).</span></span> <span><span class="co">#&gt; ℹ Determining intrinsic resistance based on 'EUCAST Expected</span></span>
<span><span class="co">#&gt; This note will be shown once per session.</span></span> <span><span class="co">#&gt; Resistant Phenotypes' v1.2 (2023). This note will be shown</span></span>
<span><span class="co">#&gt; ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN</span></span> <span><span class="co">#&gt; once per session.</span></span>
<span><span class="co">#&gt; (kanamycin)</span></span> <span><span class="co">#&gt; ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB</span></span>
<span><span class="co">#&gt; ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)</span></span> <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</span></span>
<span><span class="co">#&gt; (meropenem)</span></span>
<span><span class="co">#&gt; # A tibble: 35 × 7</span></span> <span><span class="co">#&gt; # A tibble: 35 × 7</span></span>
<span><span class="co">#&gt; bacteria GEN TOB AMK KAN IPM MEM </span></span> <span><span class="co">#&gt; bacteria GEN TOB AMK KAN IPM MEM </span></span>
<span><span class="co">#&gt; &lt;chr&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt;</span></span> <span><span class="co">#&gt; &lt;chr&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt; &lt;sir&gt;</span></span>
@@ -178,9 +181,9 @@
<span><span class="co">#&gt; Warning: invalid microorganism code, NA generated</span></span></code></pre></div> <span><span class="co">#&gt; Warning: invalid microorganism code, NA generated</span></span></code></pre></div>
<table class="table"> <table class="table">
<colgroup> <colgroup>
<col width="33%"> <col width="24%">
<col width="33%"> <col width="37%">
<col width="33%"> <col width="37%">
</colgroup> </colgroup>
<thead><tr> <thead><tr>
<th align="left">Piperacillin/tazobactam</th> <th align="left">Piperacillin/tazobactam</th>
@@ -188,9 +191,9 @@
<th align="left">Piperacillin/tazobactam + Tobramycin</th> <th align="left">Piperacillin/tazobactam + Tobramycin</th>
</tr></thead> </tr></thead>
<tbody><tr> <tbody><tr>
<td align="left">70% (64.8-75.2%)</td> <td align="left">70% (64.8-75.1%)</td>
<td align="left">93.6% (92-95.1%)</td> <td align="left">93.6% (92.1-95%)</td>
<td align="left">89.9% (87.1-92.5%)</td> <td align="left">89.9% (86.9-92.3%)</td>
</tr></tbody> </tr></tbody>
</table> </table>
<p>WISCA supports stratification by any clinical variable, so you can generate syndrome-specific or ward-specific coverage estimates:</p> <p>WISCA supports stratification by any clinical variable, so you can generate syndrome-specific or ward-specific coverage estimates:</p>
@@ -202,10 +205,10 @@
<span><span class="co">#&gt; Warning: invalid microorganism code, NA generated</span></span></code></pre></div> <span><span class="co">#&gt; Warning: invalid microorganism code, NA generated</span></span></code></pre></div>
<table class="table"> <table class="table">
<colgroup> <colgroup>
<col width="25%"> <col width="14%">
<col width="25%"> <col width="21%">
<col width="25%"> <col width="32%">
<col width="25%"> <col width="32%">
</colgroup> </colgroup>
<thead><tr> <thead><tr>
<th align="left">Syndromic Group</th> <th align="left">Syndromic Group</th>
@@ -216,21 +219,21 @@
<tbody> <tbody>
<tr> <tr>
<td align="left">Clinical</td> <td align="left">Clinical</td>
<td align="left">74.6% (69.3-80.3%)</td> <td align="left">74.7% (69-80.3%)</td>
<td align="left">93.6% (92.1-95%)</td> <td align="left">93.6% (92-95.2%)</td>
<td align="left">90.4% (87-93.2%)</td> <td align="left">90.4% (86.8-93.1%)</td>
</tr> </tr>
<tr> <tr>
<td align="left">ICU</td> <td align="left">ICU</td>
<td align="left">56.9% (48.2-66.3%)</td> <td align="left">56.9% (48.7-66%)</td>
<td align="left">86.7% (83.4-89.7%)</td> <td align="left">86.8% (83.6-90%)</td>
<td align="left">82.9% (78.1-87.3%)</td> <td align="left">82.8% (78.3-87.3%)</td>
</tr> </tr>
<tr> <tr>
<td align="left">Outpatient</td> <td align="left">Outpatient</td>
<td align="left">57.3% (45.8-69.1%)</td> <td align="left">57.2% (46-68.2%)</td>
<td align="left">76.6% (70.6-81.9%)</td> <td align="left">76.5% (70.3-82.2%)</td>
<td align="left">67.9% (58-76.9%)</td> <td align="left">67.7% (57.3-77.2%)</td>
</tr> </tr>
</tbody> </tbody>
</table> </table>
@@ -239,14 +242,15 @@
<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> <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> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span>,</span> <span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span>,</span>
<span> antimicrobials <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">"AMC"</span>, <span class="fu"><a href="reference/antimicrobial_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span>, <span class="st">"TZP"</span><span class="op">)</span><span class="op">)</span></span> <span> antimicrobials <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">"AMC"</span>, <span class="fu"><a href="reference/antimicrobial_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span>, <span class="st">"TZP"</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)</span></span></code></pre></div> <span><span class="co">#&gt; ℹ For `carbapenems()` using columns IPM (imipenem) and MEM</span></span>
<span><span class="co">#&gt; (meropenem)</span></span></code></pre></div>
<table class="table"> <table class="table">
<colgroup> <colgroup>
<col width="20%"> <col width="13%">
<col width="20%"> <col width="25%">
<col width="20%"> <col width="18%">
<col width="20%"> <col width="19%">
<col width="20%"> <col width="22%">
</colgroup> </colgroup>
<thead><tr> <thead><tr>
<th align="left">Pathogen</th> <th align="left">Pathogen</th>
@@ -279,10 +283,10 @@
<span> antimicrobials <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> <span> antimicrobials <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"> <table class="table">
<colgroup> <colgroup>
<col width="25%"> <col width="12%">
<col width="25%"> <col width="21%">
<col width="25%"> <col width="32%">
<col width="25%"> <col width="32%">
</colgroup> </colgroup>
<thead><tr> <thead><tr>
<th align="left">Pathogen</th> <th align="left">Pathogen</th>
@@ -404,15 +408,16 @@
<span> <span class="co"># calculate AMR using resistance(), over all aminoglycosides and polymyxins:</span></span> <span> <span class="co"># calculate AMR using resistance(), over all aminoglycosides and polymyxins:</span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/across.html" class="external-link">across</a></span><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="fu"><a href="reference/antimicrobial_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span>, <span class="fu"><a href="reference/antimicrobial_selectors.html">polymyxins</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span>,</span> <span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/across.html" class="external-link">across</a></span><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="fu"><a href="reference/antimicrobial_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span>, <span class="fu"><a href="reference/antimicrobial_selectors.html">polymyxins</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span>,</span>
<span> <span class="va">resistance</span><span class="op">)</span><span class="op">)</span></span> <span> <span class="va">resistance</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN</span></span> <span><span class="co">#&gt; ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB</span></span>
<span><span class="co">#&gt; (kanamycin)</span></span> <span><span class="co">#&gt; (tobramycin), AMK (amikacin), and KAN (kanamycin)</span></span>
<span><span class="co">#&gt; ℹ For `polymyxins()` using column COL (colistin)</span></span> <span><span class="co">#&gt; ℹ For `polymyxins()` using column COL (colistin)</span></span>
<span><span class="co">#&gt; Warning: There was 1 warning in `summarise()`.</span></span> <span><span class="co">#&gt; Warning: There was 1 warning in `summarise()`.</span></span>
<span><span class="co">#&gt; ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.</span></span> <span><span class="co">#&gt; ℹ In argument: `across(c(aminoglycosides(), polymyxins()),</span></span>
<span><span class="co">#&gt; resistance)`.</span></span>
<span><span class="co">#&gt; ℹ In group 3: `ward = "Outpatient"`.</span></span> <span><span class="co">#&gt; ℹ In group 3: `ward = "Outpatient"`.</span></span>
<span><span class="co">#&gt; Caused by warning:</span></span> <span><span class="co">#&gt; Caused by warning:</span></span>
<span><span class="co">#&gt; ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (whilst `minimum =</span></span> <span><span class="co">#&gt; ! Introducing NA: only 23 results available for KAN in group:</span></span>
<span><span class="co">#&gt; 30`).</span></span> <span><span class="co">#&gt; ward = "Outpatient" (whilst `minimum = 30`).</span></span>
<span><span class="va">out</span></span> <span><span class="va">out</span></span>
<span><span class="co">#&gt; # A tibble: 3 × 6</span></span> <span><span class="co">#&gt; # A tibble: 3 × 6</span></span>
<span><span class="co">#&gt; ward GEN TOB AMK KAN COL</span></span> <span><span class="co">#&gt; ward GEN TOB AMK KAN COL</span></span>

42
index.md
View File

@@ -36,8 +36,10 @@ R package with [zero
dependencies](https://en.wikipedia.org/wiki/Dependency_hell) to simplify dependencies](https://en.wikipedia.org/wiki/Dependency_hell) to simplify
the analysis and prediction of Antimicrobial Resistance (AMR) and to the analysis and prediction of Antimicrobial Resistance (AMR) and to
work with microbial and antimicrobial data and properties, by using work with microbial and antimicrobial data and properties, by using
evidence-based methods. **Our aim is to provide a standard** for clean evidence-based methods.
and reproducible AMR data analysis, that can therefore empower
**Our aim has always been to provide a standard** for clean and
reproducible AMR data analysis, that can therefore empower
epidemiological analyses to continuously enable surveillance and epidemiological analyses to continuously enable surveillance and
treatment evaluation in any setting. We are a team of [many different treatment evaluation in any setting. We are a team of [many different
researchers](https://amr-for-r.org/authors.md) from around the globe to researchers](https://amr-for-r.org/authors.md) from around the globe to
@@ -48,7 +50,7 @@ in scientific research.
After installing this package, R knows [**~97 000 distinct microbial After installing this package, R knows [**~97 000 distinct microbial
species**](https://amr-for-r.org/reference/microorganisms.md) (updated species**](https://amr-for-r.org/reference/microorganisms.md) (updated
May 2026) and all [**~620 antimicrobial and antiviral mei 2026) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.md) by name and drugs**](https://amr-for-r.org/reference/antimicrobials.md) by name and
code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED
CT), and knows all about valid SIR and MIC values. The integral clinical CT), and knows all about valid SIR and MIC values. The integral clinical
@@ -114,11 +116,13 @@ example_isolates %>%
#> ℹ Using column mo as input for `mo_fullname()` #> ℹ Using column mo as input for `mo_fullname()`
#> ℹ Using column mo as input for `mo_is_gram_negative()` #> ℹ Using column mo as input for `mo_is_gram_negative()`
#> ℹ Using column mo as input for `mo_is_intrinsic_resistant()` #> ℹ Using column mo as input for `mo_is_intrinsic_resistant()`
#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023). #> ℹ Determining intrinsic resistance based on 'EUCAST Expected
#> This note will be shown once per session. #> Resistant Phenotypes' v1.2 (2023). This note will be shown
#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN #> once per session.
#> (kanamycin) #> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem) #> (tobramycin), AMK (amikacin), and KAN (kanamycin)
#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
#> (meropenem)
#> # A tibble: 35 × 7 #> # A tibble: 35 × 7
#> bacteria GEN TOB AMK KAN IPM MEM #> bacteria GEN TOB AMK KAN IPM MEM
#> <chr> <sir> <sir> <sir> <sir> <sir> <sir> #> <chr> <sir> <sir> <sir> <sir> <sir> <sir>
@@ -177,7 +181,7 @@ wisca(example_isolates,
| Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin | | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---| |:---|:---|:---|
| 70% (64.8-75.2%) | 93.6% (92-95.1%) | 89.9% (87.1-92.5%) | | 70% (64.8-75.1%) | 93.6% (92.1-95%) | 89.9% (86.9-92.3%) |
WISCA supports stratification by any clinical variable, so you can WISCA supports stratification by any clinical variable, so you can
generate syndrome-specific or ward-specific coverage estimates: generate syndrome-specific or ward-specific coverage estimates:
@@ -193,9 +197,9 @@ wisca(example_isolates,
| Syndromic Group | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin | | Syndromic Group | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---|:---| |:---|:---|:---|:---|
| Clinical | 74.6% (69.3-80.3%) | 93.6% (92.1-95%) | 90.4% (87-93.2%) | | Clinical | 74.7% (69-80.3%) | 93.6% (92-95.2%) | 90.4% (86.8-93.1%) |
| ICU | 56.9% (48.2-66.3%) | 86.7% (83.4-89.7%) | 82.9% (78.1-87.3%) | | ICU | 56.9% (48.7-66%) | 86.8% (83.6-90%) | 82.8% (78.3-87.3%) |
| Outpatient | 57.3% (45.8-69.1%) | 76.6% (70.6-81.9%) | 67.9% (58-76.9%) | | Outpatient | 57.2% (46-68.2%) | 76.5% (70.3-82.2%) | 67.7% (57.3-77.2%) |
**For AMR surveillance**, traditional antibiograms remain the right tool **For AMR surveillance**, traditional antibiograms remain the right tool
for tracking resistance per species over time: for tracking resistance per species over time:
@@ -205,7 +209,8 @@ for tracking resistance per species over time:
antibiogram(example_isolates, antibiogram(example_isolates,
mo_transform = "gramstain", mo_transform = "gramstain",
antimicrobials = c("AMC", carbapenems(), "TZP")) antimicrobials = c("AMC", carbapenems(), "TZP"))
#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem) #> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
#> (meropenem)
``` ```
| Pathogen | Amoxicillin/clavulanic acid | Imipenem | Meropenem | Piperacillin/tazobactam | | Pathogen | Amoxicillin/clavulanic acid | Imipenem | Meropenem | Piperacillin/tazobactam |
@@ -326,15 +331,16 @@ out <- example_isolates %>%
# calculate AMR using resistance(), over all aminoglycosides and polymyxins: # calculate AMR using resistance(), over all aminoglycosides and polymyxins:
summarise(across(c(aminoglycosides(), polymyxins()), summarise(across(c(aminoglycosides(), polymyxins()),
resistance)) resistance))
#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN #> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
#> (kanamycin) #> (tobramycin), AMK (amikacin), and KAN (kanamycin)
#> ℹ For `polymyxins()` using column COL (colistin) #> ℹ For `polymyxins()` using column COL (colistin)
#> Warning: There was 1 warning in `summarise()`. #> Warning: There was 1 warning in `summarise()`.
#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`. #> ℹ In argument: `across(c(aminoglycosides(), polymyxins()),
#> resistance)`.
#> ℹ In group 3: `ward = "Outpatient"`. #> ℹ In group 3: `ward = "Outpatient"`.
#> Caused by warning: #> Caused by warning:
#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (whilst `minimum = #> ! Introducing NA: only 23 results available for KAN in group:
#> 30`). #> ward = "Outpatient" (whilst `minimum = 30`).
out out
#> # A tibble: 3 × 6 #> # A tibble: 3 × 6
#> ward GEN TOB AMK KAN COL #> ward GEN TOB AMK KAN COL

42
llms.txt
View File

@@ -36,8 +36,10 @@ R package with [zero
dependencies](https://en.wikipedia.org/wiki/Dependency_hell) to simplify dependencies](https://en.wikipedia.org/wiki/Dependency_hell) to simplify
the analysis and prediction of Antimicrobial Resistance (AMR) and to the analysis and prediction of Antimicrobial Resistance (AMR) and to
work with microbial and antimicrobial data and properties, by using work with microbial and antimicrobial data and properties, by using
evidence-based methods. **Our aim is to provide a standard** for clean evidence-based methods.
and reproducible AMR data analysis, that can therefore empower
**Our aim has always been to provide a standard** for clean and
reproducible AMR data analysis, that can therefore empower
epidemiological analyses to continuously enable surveillance and epidemiological analyses to continuously enable surveillance and
treatment evaluation in any setting. We are a team of [many different treatment evaluation in any setting. We are a team of [many different
researchers](https://amr-for-r.org/authors.md) from around the globe to researchers](https://amr-for-r.org/authors.md) from around the globe to
@@ -48,7 +50,7 @@ in scientific research.
After installing this package, R knows [**~97 000 distinct microbial After installing this package, R knows [**~97 000 distinct microbial
species**](https://amr-for-r.org/reference/microorganisms.md) (updated species**](https://amr-for-r.org/reference/microorganisms.md) (updated
May 2026) and all [**~620 antimicrobial and antiviral mei 2026) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.md) by name and drugs**](https://amr-for-r.org/reference/antimicrobials.md) by name and
code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED
CT), and knows all about valid SIR and MIC values. The integral clinical CT), and knows all about valid SIR and MIC values. The integral clinical
@@ -114,11 +116,13 @@ example_isolates %>%
#> ℹ Using column mo as input for `mo_fullname()` #> ℹ Using column mo as input for `mo_fullname()`
#> ℹ Using column mo as input for `mo_is_gram_negative()` #> ℹ Using column mo as input for `mo_is_gram_negative()`
#> ℹ Using column mo as input for `mo_is_intrinsic_resistant()` #> ℹ Using column mo as input for `mo_is_intrinsic_resistant()`
#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023). #> ℹ Determining intrinsic resistance based on 'EUCAST Expected
#> This note will be shown once per session. #> Resistant Phenotypes' v1.2 (2023). This note will be shown
#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN #> once per session.
#> (kanamycin) #> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem) #> (tobramycin), AMK (amikacin), and KAN (kanamycin)
#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
#> (meropenem)
#> # A tibble: 35 × 7 #> # A tibble: 35 × 7
#> bacteria GEN TOB AMK KAN IPM MEM #> bacteria GEN TOB AMK KAN IPM MEM
#> <chr> <sir> <sir> <sir> <sir> <sir> <sir> #> <chr> <sir> <sir> <sir> <sir> <sir> <sir>
@@ -177,7 +181,7 @@ wisca(example_isolates,
| Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin | | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---| |:---|:---|:---|
| 70% (64.8-75.2%) | 93.6% (92-95.1%) | 89.9% (87.1-92.5%) | | 70% (64.8-75.1%) | 93.6% (92.1-95%) | 89.9% (86.9-92.3%) |
WISCA supports stratification by any clinical variable, so you can WISCA supports stratification by any clinical variable, so you can
generate syndrome-specific or ward-specific coverage estimates: generate syndrome-specific or ward-specific coverage estimates:
@@ -193,9 +197,9 @@ wisca(example_isolates,
| Syndromic Group | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin | | Syndromic Group | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---|:---| |:---|:---|:---|:---|
| Clinical | 74.6% (69.3-80.3%) | 93.6% (92.1-95%) | 90.4% (87-93.2%) | | Clinical | 74.7% (69-80.3%) | 93.6% (92-95.2%) | 90.4% (86.8-93.1%) |
| ICU | 56.9% (48.2-66.3%) | 86.7% (83.4-89.7%) | 82.9% (78.1-87.3%) | | ICU | 56.9% (48.7-66%) | 86.8% (83.6-90%) | 82.8% (78.3-87.3%) |
| Outpatient | 57.3% (45.8-69.1%) | 76.6% (70.6-81.9%) | 67.9% (58-76.9%) | | Outpatient | 57.2% (46-68.2%) | 76.5% (70.3-82.2%) | 67.7% (57.3-77.2%) |
**For AMR surveillance**, traditional antibiograms remain the right tool **For AMR surveillance**, traditional antibiograms remain the right tool
for tracking resistance per species over time: for tracking resistance per species over time:
@@ -205,7 +209,8 @@ for tracking resistance per species over time:
antibiogram(example_isolates, antibiogram(example_isolates,
mo_transform = "gramstain", mo_transform = "gramstain",
antimicrobials = c("AMC", carbapenems(), "TZP")) antimicrobials = c("AMC", carbapenems(), "TZP"))
#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem) #> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
#> (meropenem)
``` ```
| Pathogen | Amoxicillin/clavulanic acid | Imipenem | Meropenem | Piperacillin/tazobactam | | Pathogen | Amoxicillin/clavulanic acid | Imipenem | Meropenem | Piperacillin/tazobactam |
@@ -326,15 +331,16 @@ out <- example_isolates %>%
# calculate AMR using resistance(), over all aminoglycosides and polymyxins: # calculate AMR using resistance(), over all aminoglycosides and polymyxins:
summarise(across(c(aminoglycosides(), polymyxins()), summarise(across(c(aminoglycosides(), polymyxins()),
resistance)) resistance))
#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN #> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
#> (kanamycin) #> (tobramycin), AMK (amikacin), and KAN (kanamycin)
#> ℹ For `polymyxins()` using column COL (colistin) #> ℹ For `polymyxins()` using column COL (colistin)
#> Warning: There was 1 warning in `summarise()`. #> Warning: There was 1 warning in `summarise()`.
#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`. #> ℹ In argument: `across(c(aminoglycosides(), polymyxins()),
#> resistance)`.
#> ℹ In group 3: `ward = "Outpatient"`. #> ℹ In group 3: `ward = "Outpatient"`.
#> Caused by warning: #> Caused by warning:
#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (whilst `minimum = #> ! Introducing NA: only 23 results available for KAN in group:
#> 30`). #> ward = "Outpatient" (whilst `minimum = 30`).
out out
#> # A tibble: 3 × 6 #> # A tibble: 3 × 6
#> ward GEN TOB AMK KAN COL #> ward GEN TOB AMK KAN COL

12
news/index.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -49,15 +49,15 @@
</div> </div>
<div class="section level2"> <div class="section level2">
<h2 class="pkg-version" data-toc-text="3.0.1.9084" id="amr-3019084">AMR 3.0.1.9084<a class="anchor" aria-label="anchor" href="#amr-3019084"></a></h2> <h2 class="pkg-version" data-toc-text="3.0.1.9085" id="amr-3019085">AMR 3.0.1.9085<a class="anchor" aria-label="anchor" href="#amr-3019085"></a></h2>
<p>Planned as v3.1.0, end of June 2026.</p> <p>Planned as v3.1.0, end of June 2026.</p>
<div class="section level4"> <div class="section level4">
<h4 id="breaking-changes-3-0-1-9084">Breaking Changes<a class="anchor" aria-label="anchor" href="#breaking-changes-3-0-1-9084"></a></h4> <h4 id="breaking-changes-3-0-1-9085">Breaking Changes<a class="anchor" aria-label="anchor" href="#breaking-changes-3-0-1-9085"></a></h4>
<ul><li>The former <em>kingdoms</em> Bacteria and Archaea are now each divided into four kingdoms with new top-level <em>domains</em> ‘Bacteria’ and ‘Archaea’ (Göker and Oren, 2024, DOI: 10.1099/ijsem.0.006242). Following this, a new <code>domain</code> column in the <code>microorganisms</code> data set was added, and more importantly, <code><a href="../reference/mo_property.html">mo_kingdom()</a></code> now returns the formal kingdom (e.g. <code>"Pseudomonadati"</code> instead of <code>"Bacteria"</code>). Use <code><a href="../reference/mo_property.html">mo_domain()</a></code> for the old behaviour. For non-prokaryotic kingdoms (Fungi, Protozoa, etc.), <code>kingdom</code> and <code>domain</code> are identical.</li> <ul><li>The former <em>kingdoms</em> Bacteria and Archaea are now each divided into four kingdoms with new top-level <em>domains</em> ‘Bacteria’ and ‘Archaea’ (Göker and Oren, 2024, DOI: 10.1099/ijsem.0.006242). Following this, a new <code>domain</code> column in the <code>microorganisms</code> data set was added, and more importantly, <code><a href="../reference/mo_property.html">mo_kingdom()</a></code> now returns the formal kingdom (e.g. <code>"Pseudomonadati"</code> instead of <code>"Bacteria"</code>). Use <code><a href="../reference/mo_property.html">mo_domain()</a></code> for the old behaviour. For non-prokaryotic kingdoms (Fungi, Protozoa, etc.), <code>kingdom</code> and <code>domain</code> are identical.</li>
<li>Faster parallel computing via the <code>future</code> package for <code><a href="../reference/as.sir.html">as.sir()</a></code> and <code><a href="../reference/antibiogram.html">wisca()</a></code>: a non-sequential plan (e.g. <code>future::plan(future::multisession)</code>) must be active before using <code>parallel = TRUE</code>.</li> <li>Faster parallel computing via the <code>future</code> package for <code><a href="../reference/as.sir.html">as.sir()</a></code> and <code><a href="../reference/antibiogram.html">wisca()</a></code>: a non-sequential plan (e.g. <code>future::plan(future::multisession)</code>) must be active before using <code>parallel = TRUE</code>.</li>
</ul></div> </ul></div>
<div class="section level4"> <div class="section level4">
<h4 id="new-3-0-1-9084">New<a class="anchor" aria-label="anchor" href="#new-3-0-1-9084"></a></h4> <h4 id="new-3-0-1-9085">New<a class="anchor" aria-label="anchor" href="#new-3-0-1-9085"></a></h4>
<ul><li>EUCAST 2026 and CLSI 2026 breakpoints: over 5,700 new breakpoints added to the <code>clinical_breakpoints</code> data set; EUCAST 2026 is now the default for all MIC and disk diffusion interpretations</li> <ul><li>EUCAST 2026 and CLSI 2026 breakpoints: over 5,700 new breakpoints added to the <code>clinical_breakpoints</code> data set; EUCAST 2026 is now the default for all MIC and disk diffusion interpretations</li>
<li>Wildtype/Non-wildtype (WT/NWT) output when using ECOFF-based interpretation, by setting <code>breakpoint_type = "ECOFF"</code> in <code><a href="../reference/as.sir.html">as.sir()</a></code>; WT/NWT results are fully supported in all resistance/susceptibility functions and plots (<a href="https://github.com/msberends/AMR/issues/254" class="external-link">#254</a>)</li> <li>Wildtype/Non-wildtype (WT/NWT) output when using ECOFF-based interpretation, by setting <code>breakpoint_type = "ECOFF"</code> in <code><a href="../reference/as.sir.html">as.sir()</a></code>; WT/NWT results are fully supported in all resistance/susceptibility functions and plots (<a href="https://github.com/msberends/AMR/issues/254" class="external-link">#254</a>)</li>
<li> <li>
@@ -74,7 +74,7 @@
<li>New <code><a href="../reference/antibiogram.html">wisca_plot()</a></code> to assess the susceptibility and incidence distributions from the Monte Carlo simulations</li> <li>New <code><a href="../reference/antibiogram.html">wisca_plot()</a></code> to assess the susceptibility and incidence distributions from the Monte Carlo simulations</li>
</ul></div> </ul></div>
<div class="section level4"> <div class="section level4">
<h4 id="fixed-3-0-1-9084">Fixed<a class="anchor" aria-label="anchor" href="#fixed-3-0-1-9084"></a></h4> <h4 id="fixed-3-0-1-9085">Fixed<a class="anchor" aria-label="anchor" href="#fixed-3-0-1-9085"></a></h4>
<ul><li>Setting <code>options(AMR_guideline = "EUCAST 2012")</code> or any year-qualified value no longer causes errors or silent wrong behaviour in <code><a href="../reference/interpretive_rules.html">interpretive_rules()</a></code>, <code><a href="../reference/proportion.html">resistance()</a></code>, <code><a href="../reference/proportion.html">susceptibility()</a></code>, <code><a href="../reference/count.html">count_resistant()</a></code>, <code><a href="../reference/count.html">count_susceptible()</a></code>, and SIR plotting/printing functions (<a href="https://github.com/msberends/AMR/issues/298" class="external-link">#298</a>)</li> <ul><li>Setting <code>options(AMR_guideline = "EUCAST 2012")</code> or any year-qualified value no longer causes errors or silent wrong behaviour in <code><a href="../reference/interpretive_rules.html">interpretive_rules()</a></code>, <code><a href="../reference/proportion.html">resistance()</a></code>, <code><a href="../reference/proportion.html">susceptibility()</a></code>, <code><a href="../reference/count.html">count_resistant()</a></code>, <code><a href="../reference/count.html">count_susceptible()</a></code>, and SIR plotting/printing functions (<a href="https://github.com/msberends/AMR/issues/298" class="external-link">#298</a>)</li>
<li> <li>
<code><a href="../reference/as.sir.html">as.sir()</a></code> <code><a href="../reference/as.sir.html">as.sir()</a></code>
@@ -103,7 +103,7 @@
</li> </li>
</ul></div> </ul></div>
<div class="section level4"> <div class="section level4">
<h4 id="updated-3-0-1-9084">Updated<a class="anchor" aria-label="anchor" href="#updated-3-0-1-9084"></a></h4> <h4 id="updated-3-0-1-9085">Updated<a class="anchor" aria-label="anchor" href="#updated-3-0-1-9085"></a></h4>
<ul><li> <ul><li>
<code><a href="../reference/top_n_microorganisms.html">top_n_microorganisms()</a></code>: new <code>property_for_each</code> argument for sub-grouping within top <em>n</em> groups; rank ordering enforced (only lower taxonomic ranks allowed); fixed <code>property = NULL</code> not being accepted; inner filter now tracks original row indices to prevent cross-group contamination</li> <code><a href="../reference/top_n_microorganisms.html">top_n_microorganisms()</a></code>: new <code>property_for_each</code> argument for sub-grouping within top <em>n</em> groups; rank ordering enforced (only lower taxonomic ranks allowed); fixed <code>property = NULL</code> not being accepted; inner filter now tracks original row indices to prevent cross-group contamination</li>
<li>Taxonomic update for all microorganisms, now updated to June 2026</li> <li>Taxonomic update for all microorganisms, now updated to June 2026</li>

2
news/index.md
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@@ -1,6 +1,6 @@
# Changelog # Changelog
## AMR 3.0.1.9084 ## AMR 3.0.1.9085
Planned as v3.1.0, end of June 2026. Planned as v3.1.0, end of June 2026.

2
pkgdown.yml
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@@ -10,7 +10,7 @@ articles:
PCA: PCA.html PCA: PCA.html
WHONET: WHONET.html WHONET: WHONET.html
WISCA: WISCA.html WISCA: WISCA.html
last_built: 2026-07-09T15:23Z last_built: 2026-07-09T19:12Z
urls: urls:
reference: https://amr-for-r.org/reference reference: https://amr-for-r.org/reference
article: https://amr-for-r.org/articles article: https://amr-for-r.org/articles

2
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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/AMR-options.html
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@@ -9,7 +9,7 @@ options(AMR_guideline = "CLSI")'><meta property="og:image" content="https://amr-
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

8
reference/AMR.html
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@@ -5,14 +5,14 @@ This work was published in the Journal of Statistical Software (Volume 104(3); d
) and formed the basis of two PhD theses (doi:10.33612/diss.177417131 ) and formed the basis of two PhD theses (doi:10.33612/diss.177417131
and doi:10.33612/diss.192486375 and doi:10.33612/diss.192486375
). ).
After installing this package, R knows ~97 000 distinct microbial species (updated May 2026) and all ~620 antimicrobial and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen. After installing this package, R knows ~97 000 distinct microbial species (updated mei 2026) and all ~620 antimicrobial and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:description" content="Welcome to the AMR package. The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:description" content="Welcome to the AMR package.
The AMR package is a peer-reviewed, free and open-source R package with zero dependencies to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. Our aim is to provide a standard for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. We are a team of many different researchers from around the globe to make this a successful and durable project! The AMR package is a peer-reviewed, free and open-source R package with zero dependencies to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. Our aim is to provide a standard for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. We are a team of many different researchers from around the globe to make this a successful and durable project!
This work was published in the Journal of Statistical Software (Volume 104(3); doi:10.18637/jss.v104.i03 This work was published in the Journal of Statistical Software (Volume 104(3); doi:10.18637/jss.v104.i03
) and formed the basis of two PhD theses (doi:10.33612/diss.177417131 ) and formed the basis of two PhD theses (doi:10.33612/diss.177417131
and doi:10.33612/diss.192486375 and doi:10.33612/diss.192486375
). ).
After installing this package, R knows ~97 000 distinct microbial species (updated May 2026) and all ~620 antimicrobial and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen. After installing this package, R knows ~97 000 distinct microbial species (updated mei 2026) and all ~620 antimicrobial and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:image" content="https://amr-for-r.org/logo.svg"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.css" integrity="sha384-nB0miv6/jRmo5UMMR1wu3Gz6NLsoTkbqJghGIsx//Rlm+ZU03BU6SQNC66uf4l5+" crossorigin="anonymous"><script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.js" integrity="sha384-7zkQWkzuo3B5mTepMUcHkMB5jZaolc2xDwL6VFqjFALcbeS9Ggm/Yr2r3Dy4lfFg" crossorigin="anonymous"></script><script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/contrib/auto-render.min.js" integrity="sha384-43gviWU0YVjaDtb/GhzOouOXtZMP/7XUzwPTstBeZFe/+rCMvRwr4yROQP43s0Xk" crossorigin="anonymous" onload="renderMathInElement(document.body);"></script></head><body> The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:image" content="https://amr-for-r.org/logo.svg"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.css" integrity="sha384-nB0miv6/jRmo5UMMR1wu3Gz6NLsoTkbqJghGIsx//Rlm+ZU03BU6SQNC66uf4l5+" crossorigin="anonymous"><script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.js" integrity="sha384-7zkQWkzuo3B5mTepMUcHkMB5jZaolc2xDwL6VFqjFALcbeS9Ggm/Yr2r3Dy4lfFg" crossorigin="anonymous"></script><script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/contrib/auto-render.min.js" integrity="sha384-43gviWU0YVjaDtb/GhzOouOXtZMP/7XUzwPTstBeZFe/+rCMvRwr4yROQP43s0Xk" crossorigin="anonymous" onload="renderMathInElement(document.body);"></script></head><body>
<a href="#main" class="visually-hidden-focusable">Skip to contents</a> <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -21,7 +21,7 @@ The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -70,7 +70,7 @@ The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish
) and formed the basis of two PhD theses (<a href="https://doi.org/10.33612/diss.177417131" class="external-link">doi:10.33612/diss.177417131</a> ) and formed the basis of two PhD theses (<a href="https://doi.org/10.33612/diss.177417131" class="external-link">doi:10.33612/diss.177417131</a>
and <a href="https://doi.org/10.33612/diss.192486375" class="external-link">doi:10.33612/diss.192486375</a> and <a href="https://doi.org/10.33612/diss.192486375" class="external-link">doi:10.33612/diss.192486375</a>
).</p> ).</p>
<p>After installing this package, R knows <a href="https://amr-for-r.org/reference/microorganisms.html"><strong>~97 000 distinct microbial species</strong></a> (updated May 2026) and all <a href="https://amr-for-r.org/reference/antimicrobials.html"><strong>~620 antimicrobial and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <a href="https://www.rug.nl" class="external-link">University of Groningen</a> and the <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p> <p>After installing this package, R knows <a href="https://amr-for-r.org/reference/microorganisms.html"><strong>~97 000 distinct microbial species</strong></a> (updated mei 2026) and all <a href="https://amr-for-r.org/reference/antimicrobials.html"><strong>~620 antimicrobial and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <a href="https://www.rug.nl" class="external-link">University of Groningen</a> and the <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<p>The <code>AMR</code> package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages.</p> <p>The <code>AMR</code> package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages.</p>
</div> </div>

2
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@@ -25,7 +25,7 @@ and
After installing this package, R knows [**~97 000 distinct microbial After installing this package, R knows [**~97 000 distinct microbial
species**](https://amr-for-r.org/reference/microorganisms.html) (updated species**](https://amr-for-r.org/reference/microorganisms.html) (updated
May 2026) and all [**~620 antimicrobial and antiviral mei 2026) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.html) by name drugs**](https://amr-for-r.org/reference/antimicrobials.html) by name
and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED
CT), and knows all about valid SIR and MIC values. The integral clinical CT), and knows all about valid SIR and MIC values. The integral clinical

2
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a> <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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2
reference/WHONET.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/ab_from_text.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/ab_property.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/add_custom_antimicrobials.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/add_custom_microorganisms.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/age.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/age_groups.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/amr-tidymodels.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/amr_course.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/antibiogram.html
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@@ -13,7 +13,7 @@ All antibiogram types adhere to previously described approaches (see Source), an
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/antimicrobial_selectors.html
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@@ -17,7 +17,7 @@ my_data_with_all_these_columns %&amp;gt;%
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/antimicrobials.html
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@@ -9,7 +9,7 @@ The antibiotics data set has been renamed to antimicrobials. The old name will b
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a> <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 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/as.disk.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/as.mic.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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10
reference/as.sir.html
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@@ -9,7 +9,7 @@ Breakpoints are currently implemented from EUCAST 2011-2026 and CLSI 2011-2026,
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a> <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -462,10 +462,10 @@ Breakpoints are currently implemented from EUCAST 2011-2026 and CLSI 2011-2026,
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 4 × 18</span></span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 4 × 18</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index method ab_given mo_given host_given input_given</span> <span class="r-out co"><span class="r-pr">#&gt;</span> datetime index method ab_given mo_given host_given input_given</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;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: #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;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> 2026-07-09 <span style="color: #949494;">15:26:20</span> 1 MIC amoxicillin Escherich… human 8 </span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2026-07-09 <span style="color: #949494;">19:14:46</span> 1 MIC amoxicillin Escherich… human 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2026-07-09 <span style="color: #949494;">15:26:21</span> 1 MIC cipro Escherich… human 0.256 </span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2026-07-09 <span style="color: #949494;">19:14:46</span> 1 MIC cipro Escherich… human 0.256 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2026-07-09 <span style="color: #949494;">15:26:21</span> 1 DISK tobra Escherich… human 16 </span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2026-07-09 <span style="color: #949494;">19:14:47</span> 1 DISK tobra Escherich… human 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2026-07-09 <span style="color: #949494;">15:26:21</span> 1 DISK genta Escherich… human 18 </span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2026-07-09 <span style="color: #949494;">19:14:47</span> 1 DISK genta Escherich… human 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 11 more variables: ab &lt;ab&gt;, mo &lt;mo&gt;, host &lt;chr&gt;, input &lt;chr&gt;,</span></span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 11 more variables: ab &lt;ab&gt;, mo &lt;mo&gt;, host &lt;chr&gt;, input &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># outcome &lt;sir&gt;, notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># outcome &lt;sir&gt;, notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># breakpoint_S_R &lt;chr&gt;, site &lt;chr&gt;</span></span> <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># breakpoint_S_R &lt;chr&gt;, site &lt;chr&gt;</span></span>

8
reference/as.sir.md
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@@ -712,10 +712,10 @@ sir_interpretation_history()
#> # A tibble: 4 × 18 #> # A tibble: 4 × 18
#> datetime index method ab_given mo_given host_given input_given #> datetime index method ab_given mo_given host_given input_given
#> <dttm> <int> <chr> <chr> <chr> <chr> <chr> #> <dttm> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 2026-07-09 15:26:20 1 MIC amoxicillin Escherich… human 8 #> 1 2026-07-09 19:14:46 1 MIC amoxicillin Escherich… human 8
#> 2 2026-07-09 15:26:21 1 MIC cipro Escherich… human 0.256 #> 2 2026-07-09 19:14:46 1 MIC cipro Escherich… human 0.256
#> 3 2026-07-09 15:26:21 1 DISK tobra Escherich… human 16 #> 3 2026-07-09 19:14:47 1 DISK tobra Escherich… human 16
#> 4 2026-07-09 15:26:21 1 DISK genta Escherich… human 18 #> 4 2026-07-09 19:14:47 1 DISK genta Escherich… human 18
#> # ℹ 11 more variables: ab <ab>, mo <mo>, host <chr>, input <chr>, #> # ℹ 11 more variables: ab <ab>, mo <mo>, host <chr>, input <chr>,
#> # outcome <sir>, notes <chr>, guideline <chr>, ref_table <chr>, uti <lgl>, #> # outcome <sir>, notes <chr>, guideline <chr>, ref_table <chr>, uti <lgl>,
#> # breakpoint_S_R <chr>, site <chr> #> # breakpoint_S_R <chr>, site <chr>

2
reference/atc_online.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a> <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 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/av_property.html
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@@ -7,7 +7,7 @@
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reference/availability.html
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@@ -7,7 +7,7 @@
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reference/bug_drug_combinations.html
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@@ -7,7 +7,7 @@
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reference/clinical_breakpoints.html
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@@ -21,7 +21,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
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reference/count.html
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@@ -9,7 +9,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
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reference/example_isolates.html
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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reference/first_isolate.html
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@@ -9,7 +9,7 @@
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reference/g.test.html
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@@ -7,7 +7,7 @@
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@@ -125,7 +125,7 @@
<dt>stdres</dt> <dt>stdres</dt>
<dd><p>standardized residuals, <dd><p>standardized residuals,
<code>(observed - expected) / sqrt(V)</code>, where <code>V</code> is the <code>(observed - expected) / sqrt(V)</code>, where <code>V</code> is the
residual cell variance (Agresti, 2007, section 2.4.5 residual cell variance (<a href="#reference+chisq.test.Rd+R+3AAgresti+3A2007" class="citation">Agresti 2007</a>, section 2.4.5)
for the case where <code>x</code> is a matrix, <code>n * p * (1 - p)</code> otherwise).</p></dd> for the case where <code>x</code> is a matrix, <code>n * p * (1 - p)</code> otherwise).</p></dd>
</dl></div> </dl></div>

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reference/g.test.md
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@@ -93,8 +93,9 @@ A list with class `"htest"` containing the following components:
- stdres: - stdres:
standardized residuals, `(observed - expected) / sqrt(V)`, where `V` standardized residuals, `(observed - expected) / sqrt(V)`, where `V`
is the residual cell variance (Agresti, 2007, section 2.4.5 for the is the residual cell variance ([Agresti
case where `x` is a matrix, `n * p * (1 - p)` otherwise). 2007](#reference+chisq.test.Rd+R+3AAgresti+3A2007), section 2.4.5) for
the case where `x` is a matrix, `n * p * (1 - p)` otherwise).
## Details ## Details

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reference/get_episode.html
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@@ -7,7 +7,7 @@
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reference/ggplot_pca.html
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@@ -7,7 +7,7 @@
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@@ -113,8 +113,9 @@
<dt id="arg-pc-biplot">pc.biplot<a class="anchor" aria-label="anchor" href="#arg-pc-biplot"></a></dt> <dt id="arg-pc-biplot">pc.biplot<a class="anchor" aria-label="anchor" href="#arg-pc-biplot"></a></dt>
<dd><p>If true, use what Gabriel (1971) refers to as a "principal component <dd><p>If true, use what <cite></cite><a href="#reference+biplot.princomp.Rd+R+3AGabriel+3A1971" class="citation">Gabriel (1971)</a> refers to as a
biplot", with <code>lambda = 1</code> and observations scaled up by sqrt(n) and “principal component biplot”,
with <code>lambda = 1</code> and observations scaled up by sqrt(n) and
variables scaled down by sqrt(n). Then inner products between variables scaled down by sqrt(n). Then inner products between
variables approximate covariances and distances between observations variables approximate covariances and distances between observations
approximate Mahalanobis distance.</p></dd> approximate Mahalanobis distance.</p></dd>

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reference/ggplot_pca.md
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@@ -85,11 +85,12 @@ the changes made based on the source code were:
- pc.biplot: - pc.biplot:
If true, use what Gabriel (1971) refers to as a "principal component If true, use what [Gabriel
biplot", with `lambda = 1` and observations scaled up by sqrt(n) and (1971)](#reference+biplot.princomp.Rd+R+3AGabriel+3A1971) refers to as
variables scaled down by sqrt(n). Then inner products between a “principal component biplot”, with `lambda = 1` and observations
variables approximate covariances and distances between observations scaled up by sqrt(n) and variables scaled down by sqrt(n). Then inner
approximate Mahalanobis distance. products between variables approximate covariances and distances
between observations approximate Mahalanobis distance.
- labels: - labels:

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reference/ggplot_sir.html
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reference/interpretive_rules.html
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@@ -9,7 +9,7 @@ To improve the interpretation of the antibiogram before CLSI/EUCAST interpretive
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@@ -7,7 +7,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

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reference/microorganisms.groups.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

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reference/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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

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reference/pca.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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reference/random.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/resistance_predict.html
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@@ -9,7 +9,7 @@ NOTE: These functions are deprecated and will be removed in a future version. Us
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</small>
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2
reference/top_n_microorganisms.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <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> <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="">3.0.1.9084</small> <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9085</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"> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

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search.json
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