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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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LICENSE-text.html
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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
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articles/AMR.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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articles/PCA.html
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articles/index.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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articles/welcome_to_AMR.html
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authors.html
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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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index.html
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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9057</small>
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news/index.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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@@ -159,18 +159,18 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="2.1.1.9056" id="amr-2119056">AMR 2.1.1.9056<a class="anchor" aria-label="anchor" href="#amr-2119056"></a></h2>
<h2 class="pkg-version" data-toc-text="2.1.1.9057" id="amr-2119057">AMR 2.1.1.9057<a class="anchor" aria-label="anchor" href="#amr-2119057"></a></h2>
<p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using <a href="https://msberends.github.io/AMR/#latest-development-version">the instructions here</a>.)</em></p>
<div class="section level5">
<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9056">A New Milestone: One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9056"></a></h5>
<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9057">A New Milestone: One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9057"></a></h5>
<p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
</div>
<div class="section level3">
<h3 id="breaking-2-1-1-9056">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9056"></a></h3>
<h3 id="breaking-2-1-1-9057">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9057"></a></h3>
<ul><li>Removed all functions and references that used the deprecated <code>rsi</code> class, which were all replaced with their <code>sir</code> equivalents over a year ago</li>
</ul></div>
<div class="section level3">
<h3 id="new-2-1-1-9056">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9056"></a></h3>
<h3 id="new-2-1-1-9057">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9057"></a></h3>
<ul><li>One Health implementation
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now has extensive support for animal breakpoints from CLSI. Use <code>breakpoint_type = "animal"</code> and set the <code>host</code> argument to a variable that contains animal species names.</li>
<li>The <code>clinical_breakpoints</code> data set contains all these breakpoints, and can be downloaded on our <a href="https://msberends.github.io/AMR/articles/datasets.html">download page</a>.</li>
@@ -188,7 +188,7 @@
<li>Function <code><a href="../reference/mo_property.html">mo_group_members()</a></code> to retrieve the member microorganisms of a microorganism group. For example, <code>mo_group_members("Strep group C")</code> returns a vector of all microorganisms that are in that group.</li>
</ul></div>
<div class="section level3">
<h3 id="changed-2-1-1-9056">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9056"></a></h3>
<h3 id="changed-2-1-1-9057">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9057"></a></h3>
<ul><li>For SIR interpretation, it is now possible to use column names for argument <code>ab</code>, <code>mo</code>, and <code>uti</code>: <code>as.sir(..., ab = "column1", mo = "column2", uti = "column3")</code>. This greatly improves the flexibility for users.</li>
<li>Extended the antibiotic selectors with <code><a href="../reference/antibiotic_class_selectors.html">nitrofurans()</a></code> and <code><a href="../reference/antibiotic_class_selectors.html">rifamycins()</a></code>
</li>
@@ -221,7 +221,7 @@
<li>Intermediate log2 levels used for MIC plotting are now more common values instead of following a strict dilution range</li>
</ul></div>
<div class="section level3">
<h3 id="other-2-1-1-9056">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9056"></a></h3>
<h3 id="other-2-1-1-9057">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9057"></a></h3>
<ul><li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
</ul></div>
</div>
pkgdown.yml
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resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
WHONET: WHONET.html
last_built: 2024-06-17T12:55Z
last_built: 2024-06-17T14:55Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles
reference/AMR-options.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9057</small>
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reference/AMR.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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reference/WHOCC.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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reference/WHONET.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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reference/ab_from_text.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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reference/ab_property.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/add_custom_antimicrobials.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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reference/add_custom_microorganisms.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9057</small>
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reference/age.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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reference/age_groups.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/antibiogram.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/antibiotic_class_selectors.html
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@@ -12,7 +12,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/antibiotics.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/as.ab.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/as.av.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/as.disk.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/as.mic.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9057</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">
@@ -290,7 +290,7 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for amoxicillin (AMX) in Streptococcus pneumoniae - assuming body site 'Meningitis'.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'sir'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R</span>
@@ -303,7 +303,7 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for amoxicillin (AMX) in Streptococcus pneumoniae - assuming body site 'Meningitis'.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'sir'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] S R R R</span>
reference/as.mo.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9057</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">
reference/as.sir.html
+153 -66
View File
@@ -24,7 +24,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9057</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">
@@ -263,6 +263,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<li><p><strong>CLSI M100: Performance Standard for Antimicrobial Susceptibility Testing</strong>, 2011-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/microbiology/documents/m100/" class="external-link">https://clsi.org/standards/products/microbiology/documents/m100/</a>.</p></li>
<li><p><strong>CLSI VET01: Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals</strong>, 2019-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/veterinary-medicine/documents/vet01//" class="external-link">https://clsi.org/standards/products/veterinary-medicine/documents/vet01//</a>.</p></li>
<li><p><strong>EUCAST Breakpoint tables for interpretation of MICs and zone diameters</strong>, 2011-2024, <em>European Committee on Antimicrobial Susceptibility Testing</em> (EUCAST). <a href="https://www.eucast.org/clinical_breakpoints" class="external-link">https://www.eucast.org/clinical_breakpoints</a>.</p></li>
<li><p><strong>WHONET</strong> as a source for machine-reading clinical breakpoints ((read more here)https://msberends.github.io/AMR/reference/clinical_breakpoints.html#imported-from-whonet), 1989-2024, <em>WHO Collaborating Centre for Surveillance of Antimicrobial Resistance</em>. <a href="https://whonet.org/" class="external-link">https://whonet.org/</a>.</p></li>
</ul></div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
@@ -577,10 +578,10 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span><span class="co"># example data sets, with combined MIC values and disk zones</span></span></span>
<span class="r-in"><span><span class="va">df_wide</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> microorganism <span class="op">=</span> <span class="st">"Escherichia coli"</span>,</span></span>
<span class="r-in"><span> AMP <span class="op">=</span> <span class="fu"><a href="as.mic.html">as.mic</a></span><span class="op">(</span><span class="fl">8</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> CIP <span class="op">=</span> <span class="fu"><a href="as.mic.html">as.mic</a></span><span class="op">(</span><span class="fl">0.256</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> GEN <span class="op">=</span> <span class="fu"><a href="as.disk.html">as.disk</a></span><span class="op">(</span><span class="fl">18</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> TOB <span class="op">=</span> <span class="fu"><a href="as.disk.html">as.disk</a></span><span class="op">(</span><span class="fl">16</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> amoxicillin <span class="op">=</span> <span class="fu"><a href="as.mic.html">as.mic</a></span><span class="op">(</span><span class="fl">8</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> cipro <span class="op">=</span> <span class="fu"><a href="as.mic.html">as.mic</a></span><span class="op">(</span><span class="fl">0.256</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> tobra <span class="op">=</span> <span class="fu"><a href="as.disk.html">as.disk</a></span><span class="op">(</span><span class="fl">16</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> genta <span class="op">=</span> <span class="fu"><a href="as.disk.html">as.disk</a></span><span class="op">(</span><span class="fl">18</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> ERY <span class="op">=</span> <span class="st">"R"</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">df_long</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span></span>
@@ -597,8 +598,8 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.mic</span>, <span class="va">as.sir</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="as.mic.html">is.mic</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="op">|</span> <span class="fu"><a href="as.disk.html">is.disk</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span>, <span class="va">as.sir</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</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://tidyselect.r-lib.org/reference/where.html" class="external-link">where</a></span><span class="op">(</span><span class="va">is.mic</span><span class="op">)</span>, <span class="va">as.sir</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_at</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars</a></span><span class="op">(</span><span class="va">AMP</span><span class="op">:</span><span class="va">TOB</span><span class="op">)</span>, <span class="va">as.sir</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</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="va">AMP</span><span class="op">:</span><span class="va">TOB</span>, <span class="va">as.sir</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_at</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars</a></span><span class="op">(</span><span class="va">amoxicillin</span><span class="op">:</span><span class="va">tobra</span><span class="op">)</span>, <span class="va">as.sir</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</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="va">amoxicillin</span><span class="op">:</span><span class="va">tobra</span>, <span class="va">as.sir</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> </span></span>
<span class="r-in"><span> <span class="co"># approaches that all work with additional arguments:</span></span></span>
<span class="r-in"><span> <span class="va">df_long</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -613,17 +614,15 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span> mo <span class="op">=</span> <span class="st">"bacteria"</span>,</span></span>
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"antibiotic"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_long</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="co"># given certain columns, e.g. from 'cipro' to 'genta'</span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_at</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars</a></span><span class="op">(</span><span class="va">cipro</span><span class="op">:</span><span class="va">genta</span><span class="op">)</span>, <span class="va">as.sir</span>,</span></span>
<span class="r-in"><span> mo <span class="op">=</span> <span class="st">"bacteria"</span>,</span></span>
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"antibiotic"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_long</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</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="va">cipro</span><span class="op">:</span><span class="va">genta</span>,</span></span>
<span class="r-in"><span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu">as.sir</span><span class="op">(</span><span class="va">x</span>,</span></span>
<span class="r-in"><span> mo <span class="op">=</span> <span class="st">"bacteria"</span>,</span></span>
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"antibiotic"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> </span></span>
<span class="r-in"><span> <span class="co"># for veterinary breakpoints, add 'host':</span></span></span>
@@ -642,18 +641,16 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"antibiotic"</span>,</span></span>
<span class="r-in"><span> host <span class="op">=</span> <span class="st">"animal_species"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_long</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="co"># given certain columns, e.g. from AMP to TOB</span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_at</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars</a></span><span class="op">(</span><span class="va">cipro</span><span class="op">:</span><span class="va">genta</span><span class="op">)</span>, <span class="va">as.sir</span>,</span></span>
<span class="r-in"><span> mo <span class="op">=</span> <span class="st">"bacteria"</span>,</span></span>
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"antibiotic"</span>,</span></span>
<span class="r-in"><span> host <span class="op">=</span> <span class="st">"animal_species"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">df_long</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</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="va">cipro</span><span class="op">:</span><span class="va">genta</span>,</span></span>
<span class="r-in"><span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu">as.sir</span><span class="op">(</span><span class="va">x</span>,</span></span>
<span class="r-in"><span> mo <span class="op">=</span> <span class="st">"bacteria"</span>,</span></span>
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"antibiotic"</span>,</span></span>
<span class="r-in"><span> host <span class="op">=</span> <span class="st">"animal_species"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span> </span></span>
@@ -673,66 +670,60 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
@@ -745,9 +736,104 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Returned an empty result, which is unexpected. Are all of mo, ab, and host set and available?</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in tbl_at_vars(tbl, vars, .include_group_vars = .include_group_vars, error_call = error_call):</span> Can't select columns that don't exist.</span>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span style="color: #BB0000;">✖</span> Column `cipro` doesn't exist.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Using dogs breakpoints since cattle for gentamicin (GEN) in Escherichia coli are not available.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Using dogs breakpoints since cattle for gentamicin (GEN) in Escherichia coli are not available.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'antibiotic' (TESTAB, test Antibiotic), CLSI</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • No CLSI 2024 MIC breakpoints available for test Antibiotic (TESTAB).</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'antibiotic' (TESTAB, test Antibiotic),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • No CLSI 2024 DISK breakpoints available for test Antibiotic (TESTAB).</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'antibiotic' (TESTAB, test Antibiotic),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • No CLSI 2024 DISK breakpoints available for test Antibiotic (TESTAB).</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • No CLSI 2024 MIC breakpoints available for ciprofloxacin (CIP).</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'nitrofuratoin' (NIT, nitrofurantoin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Breakpoints for nitrofurantoin (NIT) in Escherichia coli are only available for (uncomplicated) urinary tract infections (UTI); assuming uti = TRUE.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming value "urine" in column 'specimen' reflects a urinary tract</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> infection.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Use as.sir(uti = FALSE) to prevent this.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'nitrofuratoin' (NIT, nitrofurantoin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Breakpoints for nitrofurantoin (NIT) in Escherichia coli are only available for (uncomplicated) urinary tract infections (UTI); assuming uti = TRUE.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> microorganism amoxicillin cipro tobra genta ERY</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 Escherichia coli 8 &lt;NA&gt; S S R</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co">## Using base R ------------------------------------------------</span></span></span>
@@ -755,38 +841,39 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span><span class="fu">as.sir</span><span class="op">(</span><span class="va">df_wide</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'AMP' (ampicillin), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'amoxicillin' (AMX), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'CIP' (ciprofloxacin), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'cipro' (CIP, ciprofloxacin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: column 'GEN' (gentamicin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: column 'tobra' (TOB, tobramycin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: column 'TOB' (tobramycin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: column 'genta' (GEN, gentamicin), EUCAST</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Assigning class 'sir' to already clean column 'ERY' (erythromycin)...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> microorganism AMP CIP GEN TOB ERY</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 Escherichia coli S I S S R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> microorganism amoxicillin cipro tobra genta ERY</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 Escherichia coli S I S S R</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># return a 'logbook' about the results:</span></span></span>
<span class="r-in"><span><span class="fu">sir_interpretation_history</span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 37 × 16</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 55 × 16</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_given mo_given host_given ab mo </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-06-17 <span style="color: #949494;">12:56:05</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-06-17 <span style="color: #949494;">12:56:11</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-06-17 <span style="color: #949494;">12:56:11</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-06-17 <span style="color: #949494;">12:56:05</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-06-17 <span style="color: #949494;">12:56:11</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-06-17 <span style="color: #949494;">12:56:11</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-06-17 <span style="color: #949494;">12:56:05</span> 2 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-06-17 <span style="color: #949494;">12:56:11</span> 2 cipro Escheri… human CIP B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-06-17 <span style="color: #949494;">12:56:11</span> 2 cipro Escheri… human CIP B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-06-17 <span style="color: #949494;">12:56:04</span> 1 ampicil… Strep p… human AMP B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 27 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 4 genta Escheri… cattle GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 4 genta Escheri… cattle GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-06-17 <span style="color: #949494;">14:56:01</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 3 tobra Escheri… horse TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 3 tobra Escheri… horse TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-06-17 <span style="color: #949494;">14:56:01</span> 2 cipro Escheri… human CIP B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 2 cipro Escheri… dogs CIP B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-06-17 <span style="color: #949494;">14:56:02</span> 2 cipro Escheri… dogs CIP B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-06-17 <span style="color: #949494;">14:56:03</span> 2 nitrofu… E. coli human NIT B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 45 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 9 more variables: host &lt;chr&gt;, method &lt;chr&gt;, input &lt;dbl&gt;, outcome &lt;sir&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># breakpoint_S_R &lt;chr&gt;</span></span>
@@ -801,7 +888,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTES </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ampicillin (AMP) in Streptococcus pneumoniae - assuming body site 'Non-meningitis'.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'sir'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R</span>
reference/atc_online.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/av_from_text.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/av_property.html
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reference/availability.html
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reference/bug_drug_combinations.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/clinical_breakpoints.html
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@@ -16,7 +16,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9056</small>
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@@ -208,14 +208,14 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<h3 id="imported-from-whonet">Imported from WHONET<a class="anchor" aria-label="anchor" href="#imported-from-whonet"></a></h3>
<p>Clinical breakpoints in this package were validated through and imported from <a href="https://whonet.org" class="external-link">WHONET</a>, a free desktop Windows application developed and supported by the WHO Collaborating Centre for Surveillance of Antimicrobial Resistance. More can be read on <a href="https://whonet.org" class="external-link">their website</a>. The developers of WHONET and this <code>AMR</code> package have been in contact about sharing their work. We highly appreciate their development on the WHONET software.</p>
<p>Clinical breakpoints in this package were validated through and imported from <a href="https://whonet.org" class="external-link">WHONET</a>, a free desktop Windows application developed and supported by the WHO Collaborating Centre for Surveillance of Antimicrobial Resistance. More can be read on <a href="https://whonet.org" class="external-link">their website</a>. The developers of WHONET and this <code>AMR</code> package have been in contact about sharing their work. We highly appreciate their great development on the WHONET software.</p>
</div>
<div class="section">
<h3 id="response-from-clsi-and-eucast">Response from CLSI and EUCAST<a class="anchor" aria-label="anchor" href="#response-from-clsi-and-eucast"></a></h3>
<p>The CEO of CLSI and the chairman of EUCAST have endorsed the work and public use of this <code>AMR</code> package (and consequently the use of their breakpoints) in June 2023, when future development of distributing clinical breakpoints was discussed in a meeting between CLSI, EUCAST, the WHO, and developers of WHONET and the <code>AMR</code> package.</p>
<p>The CEO of CLSI and the chairman of EUCAST have endorsed the work and public use of this <code>AMR</code> package (and consequently the use of their breakpoints) in June 2023, when future development of distributing clinical breakpoints was discussed in a meeting between CLSI, EUCAST, WHO, developers of WHONET software, and developers of this <code>AMR</code> package.</p>
</div>
<div class="section">
reference/count.html
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@@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
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reference/custom_eucast_rules.html
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reference/dosage.html
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reference/eucast_rules.html
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@@ -12,7 +12,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
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reference/example_isolates.html
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reference/example_isolates_unclean.html
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reference/export_ncbi_biosample.html
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reference/first_isolate.html
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reference/g.test.html
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reference/get_episode.html
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reference/ggplot_pca.html
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reference/ggplot_sir.html
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reference/guess_ab_col.html
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reference/index.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -428,16 +428,26 @@
<dl><dt>
<code><a href="example_isolates.html">example_isolates</a></code>
</dt>
<dd>Data Set with 2 000 Example Isolates</dd>
</dl><dl><dt>
<code><a href="microorganisms.html">microorganisms</a></code>
</dt>
<dd>Data Set with 52 171 Microorganisms</dd>
</dl><dl><dt>
<code><a href="antibiotics.html">antibiotics</a></code> <code><a href="antibiotics.html">antivirals</a></code>
</dt>
<dd>Data Sets with 605 Antimicrobial Drugs</dd>
</dl><dl><dt>
<code><a href="clinical_breakpoints.html">clinical_breakpoints</a></code>
</dt>
<dd>Data Set with Clinical Breakpoints for SIR Interpretation</dd>
</dl><dl><dt>
<code><a href="example_isolates.html">example_isolates</a></code>
</dt>
<dd>Data Set with 2 000 Example Isolates</dd>
</dl><dl><dt>
<code><a href="microorganisms.codes.html">microorganisms.codes</a></code>
</dt>
<dd>Data Set with 4 971 Common Microorganism Codes</dd>
@@ -448,11 +458,6 @@
<dd>Data Set with 521 Microorganisms In Species Groups</dd>
</dl><dl><dt>
<code><a href="antibiotics.html">antibiotics</a></code> <code><a href="antibiotics.html">antivirals</a></code>
</dt>
<dd>Data Sets with 605 Antimicrobial Drugs</dd>
</dl><dl><dt>
<code><a href="intrinsic_resistant.html">intrinsic_resistant</a></code>
</dt>
<dd>Data Set with Bacterial Intrinsic Resistance</dd>
@@ -473,11 +478,6 @@
<dd>Data Set with Unclean Data</dd>
</dl><dl><dt>
<code><a href="clinical_breakpoints.html">clinical_breakpoints</a></code>
</dt>
<dd>Data Set with Clinical Breakpoints for SIR Interpretation</dd>
</dl><dl><dt>
<code><a href="WHONET.html">WHONET</a></code>
</dt>
<dd>Data Set with 500 Isolates - WHONET Example</dd>
reference/intrinsic_resistant.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #> patient_id hospital date bacteria AMX AMC CIP GEN #> <chr> <chr> <date> <chr> <chr> <chr> <chr> <chr> #> 1 J3 A 2012-11-21 E. coli R I S S #> 2 R7 A 2018-04-03 K. pneumoniae R I S S #> 3 P3 A 2014-09-19 E. coli R S S S #> 4 P10 A 2015-12-10 E. coli S I S S #> 5 B7 A 2015-03-02 E. coli S S S S #> 6 W3 A 2018-03-31 S. aureus R S R S #> 7 J8 A 2016-06-14 E. coli R S S S #> 8 M3 A 2015-10-25 E. coli R S S S #> 9 J3 A 2019-06-19 E. coli S S S S #> 10 G6 A 2015-04-27 S. aureus S S S S #> # ℹ 2,990 more rows # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 11 Dec 2022. codes AMR packages come .mo() short, still human readable. importantly, .mo() supports kinds input: first character codes denote taxonomic kingdom, Bacteria (B), Fungi (F), Protozoa (P). AMR package also contain functions directly retrieve taxonomic properties, name, genus, species, family, order, even Gram-stain. start mo_ use .mo() internally, still arbitrary user input can used: Now can thus clean data: Apparently, uncertainty translation taxonomic codes. Let’s check : ’s good.","code":"as.mo(\"Klebsiella pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"K. pneumoniae\") #> ClaLine truncated
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