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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9183</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9186</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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@ -112,7 +112,7 @@
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</h3>
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<p>The <code>AMR</code> package is a <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. <a href="./authors.html">Many different researchers</a> from around the globe are continually helping us to make this a successful and durable project!</p>
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<p>This work was published in the Journal of Statistical Software (Volume 104(3); <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">DOI 10.18637/jss.v104.i03</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>).</p>
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<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~52,000 distinct microbial species</strong></a> (updated December 2022) and all <a href="./reference/antibiotics.html"><strong>~600 antibiotic, antimycotic 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 and EUCAST 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>, in collaboration with non-profit organisations <a href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
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<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~52,000 distinct microbial species</strong></a> (updated December 2022) and all <a href="./reference/antibiotics.html"><strong>~600 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 and EUCAST 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>, in collaboration with non-profit organisations <a href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
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<div class="section level5">
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<h5 id="used-in-over-175-countries-available-in-20-languages">Used in over 175 countries, available in 20 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-available-in-20-languages"></a>
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</h5>
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<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">bacteria</span>,</span>
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<span> <span class="fu"><a href="reference/antimicrobial_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span>,</span>
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<span> <span class="fu"><a href="reference/antimicrobial_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
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<p>With only having defined a row filter on Gram-negative bacteria with intrinsic resistance to cefotaxime (<code><a href="reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><a href="reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>) and a column selection on two antibiotic groups (<code><a href="reference/antimicrobial_selectors.html">aminoglycosides()</a></code> and <code><a href="reference/antimicrobial_selectors.html">carbapenems()</a></code>), the reference data about <a href="./reference/microorganisms.html">all microorganisms</a> and <a href="./reference/antibiotics.html">all antibiotics</a> in the <code>AMR</code> package make sure you get what you meant:</p>
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<p>With only having defined a row filter on Gram-negative bacteria with intrinsic resistance to cefotaxime (<code><a href="reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><a href="reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>) and a column selection on two antibiotic groups (<code><a href="reference/antimicrobial_selectors.html">aminoglycosides()</a></code> and <code><a href="reference/antimicrobial_selectors.html">carbapenems()</a></code>), the reference data about <a href="./reference/microorganisms.html">all microorganisms</a> and <a href="./reference/antimicrobials.html">all antimicrobials</a> in the <code>AMR</code> package make sure you get what you meant:</p>
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<table class="table">
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<thead><tr class="header">
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<th align="left">bacteria</th>
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<p>If used inside <a href="https://rmarkdown.rstudio.com" class="external-link">R Markdown</a> or <a href="https://quarto.org" class="external-link">Quarto</a>, the table will be printed in the right output format automatically (such as markdown, LaTeX, HTML, etc.).</p>
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<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
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<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>
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<span> antibiotics <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="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">carbapenems</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
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<span> antibiotics <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="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">carbapenems</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span>,</span>
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<span> formatting_type <span class="op">=</span> <span class="fl">14</span><span class="op">)</span></span></code></pre></div>
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<table class="table">
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<colgroup>
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<col width="16%">
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@ -371,7 +372,8 @@
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<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
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<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>
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<span> antibiotics <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"TZP"</span>, <span class="st">"TZP+TOB"</span>, <span class="st">"TZP+GEN"</span><span class="op">)</span>,</span>
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<span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span><span class="op">)</span></span></code></pre></div>
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<span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span>,</span>
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<span> formatting_type <span class="op">=</span> <span class="fl">14</span><span class="op">)</span></span></code></pre></div>
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<table style="width:100%;" class="table">
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<colgroup>
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<col width="12%">
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<span> antibiotics <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"cipro"</span>, <span class="st">"tobra"</span>, <span class="st">"genta"</span><span class="op">)</span>, <span class="co"># any arbitrary name or code will work</span></span>
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<span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span>,</span>
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<span> ab_transform <span class="op">=</span> <span class="st">"name"</span>,</span>
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<span> formatting_type <span class="op">=</span> <span class="fl">14</span>,</span>
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<span> language <span class="op">=</span> <span class="st">"uk"</span><span class="op">)</span> <span class="co"># Ukrainian</span></span></code></pre></div>
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<table class="table">
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<thead><tr class="header">
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