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404.html
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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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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@@ -205,7 +205,7 @@
website update since they are based on randomly created values and the
page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
Markdown</a>. However, the methodology remains unchanged. This page was
generated on 20 May 2024.</p>
generated on 24 May 2024.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@@ -261,21 +261,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2024-05-20</td>
<td align="center">2024-05-24</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
</tr>
<tr class="even">
<td align="center">2024-05-20</td>
<td align="center">2024-05-24</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
</tr>
<tr class="odd">
<td align="center">2024-05-20</td>
<td align="center">2024-05-24</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
articles/EUCAST.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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">
articles/MDR.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/PCA.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/datasets.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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">
@@ -194,7 +194,7 @@
<main id="main" class="col-md-9"><div class="page-header">
<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
<h4 data-toc-skip class="date">20 May 2024</h4>
<h4 data-toc-skip class="date">24 May 2024</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
<div class="d-none name"><code>datasets.Rmd</code></div>
articles/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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/other_pkg.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/resistance_predict.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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articles/welcome_to_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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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index.html
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@@ -39,7 +39,7 @@
<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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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news/index.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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@@ -159,18 +159,18 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="2.1.1.9032" id="amr-2119032">AMR 2.1.1.9032<a class="anchor" aria-label="anchor" href="#amr-2119032"></a></h2>
<h2 class="pkg-version" data-toc-text="2.1.1.9033" id="amr-2119033">AMR 2.1.1.9033<a class="anchor" aria-label="anchor" href="#amr-2119033"></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!)</em></p>
<div class="section level5">
<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9032">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-2-1-1-9032"></a></h5>
<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9033">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-2-1-1-9033"></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-2-1-1-9032">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9032"></a></h3>
<h3 id="breaking-2-1-1-9033">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9033"></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-2-1-1-9032">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9032"></a></h3>
<h3 id="new-2-1-1-9033">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9033"></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>
@@ -183,15 +183,15 @@
<li>
<code><a href="../reference/as.sir.html">as.sir()</a></code> now returns additional factor levels “N” for non-interpretable and “SDD” for susceptible dose-dependent. Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and N.</li>
<li>The function group <code>scale_*_mic()</code>, namely: <code><a href="../reference/plot.html">scale_x_mic()</a></code>, <code><a href="../reference/plot.html">scale_y_mic()</a></code>, <code><a href="../reference/plot.html">scale_colour_mic()</a></code> and <code><a href="../reference/plot.html">scale_fill_mic()</a></code>. They are advanced ggplot2 extensions to allow easy plotting of MIC values. They allow for manual range definition and plotting missing intermediate log2 levels.</li>
<li>Function <code><a href="../reference/as.mic.html">limit_mic_range()</a></code>, which allows to limit MIC values to a manually set range. This is the powerhouse behind the <code>scale_*_mic()</code> functions, but it can be used by users directly to e.g. compare equality in MIC distributions by rescaling them to the same range first.</li>
<li>Function <code><a href="../reference/mo_property.html">mo_group_members()</a></code> to retrieve the member microorganisms. For example, <code>mo_group_members("Strep group C")</code> returns a vector of all microorganisms that are in that group.</li>
<li>Function <code><a href="../reference/as.mic.html">rescale_mic()</a></code>, which allows to rescale MIC values to a manually set range. This is the powerhouse behind the <code>scale_*_mic()</code> functions, but it can be used by users directly to e.g. compare equality in MIC distributions by rescaling them to the same range first.</li>
<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-2-1-1-9032">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9032"></a></h3>
<h3 id="changed-2-1-1-9033">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9033"></a></h3>
<ul><li>For SIR interpretation, it is now possible to use column names for argument <code>ab</code> and <code>mo</code>: <code>as.sir(..., ab = "column1", mo = "column2")</code>. This greatly improves the flexibility for users.</li>
<li>For MICs:
<ul><li>Added as valid levels: 4096, 6 powers of 0.0625, and 5 powers of 192 (192, 384, 576, 768, 960)</li>
<li>Added new argument <code>keep_operators</code> to <code><a href="../reference/as.mic.html">as.mic()</a></code>. This can be <code>"all"</code> (default), <code>"none"</code>, or <code>"edges"</code>. This argument is also available in the new <code><a href="../reference/as.mic.html">limit_mic_range()</a></code> and <code>scale_*_mic()</code> functions.</li>
<li>Added new argument <code>keep_operators</code> to <code><a href="../reference/as.mic.html">as.mic()</a></code>. This can be <code>"all"</code> (default), <code>"none"</code>, or <code>"edges"</code>. This argument is also available in the new <code><a href="../reference/as.mic.html">rescale_mic()</a></code> and <code>scale_*_mic()</code> functions.</li>
<li>Comparisons of MIC values are now more strict. For example, <code>&gt;32</code> is higher than (and never equal to) <code>32</code>. Thus, <code>as.mic("&gt;32") == as.mic(32)</code> now returns <code>FALSE</code>, and <code>as.mic("&gt;32") &gt; as.mic(32)</code> now returns <code>TRUE</code>.</li>
</ul></li>
<li>Updated <code><a href="../reference/italicise_taxonomy.html">italicise_taxonomy()</a></code> to support HTML output</li>
@@ -206,7 +206,7 @@
<li>Improved overall algorithm of <code><a href="../reference/as.ab.html">as.ab()</a></code> for better performance and accuracy</li>
</ul></div>
<div class="section level3">
<h3 id="other-2-1-1-9032">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9032"></a></h3>
<h3 id="other-2-1-1-9033">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9033"></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: 2024-05-20T19:32Z
last_built: 2024-05-24T13:10Z
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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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reference/AMR.html
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@@ -24,7 +24,7 @@ The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish,
<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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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>
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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="">2.1.1.9032</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="">2.1.1.9032</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>
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@@ -222,16 +222,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.45628 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.21858 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.54918 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.26230 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.24863 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.35792 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 26 26.72951 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.31421 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 51 51.92350 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 37 37.77596 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.46721 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.22951 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.56011 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.27322 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.25956 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.36885 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 26 26.74044 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.32514 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 51 51.93443 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 37 37.78689 13</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
reference/age_groups.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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reference/antibiogram.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="">2.1.1.9032</small>
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reference/antibiotic_class_selectors.html
+1 -1
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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>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
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reference/antibiotics.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="">2.1.1.9032</small>
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reference/as.ab.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="">2.1.1.9032</small>
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reference/as.av.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
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reference/as.disk.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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reference/as.mic.html
+5 -5
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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@@ -171,7 +171,7 @@
<span></span>
<span><span class="va">NA_mic_</span></span>
<span></span>
<span><span class="fu">limit_mic_range</span><span class="op">(</span><span class="va">x</span>, <span class="va">mic_range</span>, keep_operators <span class="op">=</span> <span class="st">"edges"</span>, as.mic <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span><span class="fu">rescale_mic</span><span class="op">(</span><span class="va">x</span>, <span class="va">mic_range</span>, keep_operators <span class="op">=</span> <span class="st">"edges"</span>, as.mic <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for mic</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/droplevels.html" class="external-link">droplevels</a></span><span class="op">(</span><span class="va">x</span>, as.mic <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
@@ -243,7 +243,7 @@
<p>All so-called <a href="https://rdrr.io/r/base/groupGeneric.html" class="external-link">group generic functions</a> are implemented for the MIC class (such as <code>!</code>, <code>!=</code>, <code>&lt;</code>, <code>&gt;=</code>, <code><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp()</a></code>, <code><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2()</a></code>). Some functions of the <code>stats</code> package are also implemented (such as <code><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">quantile()</a></code>, <code><a href="https://rdrr.io/r/stats/median.html" class="external-link">median()</a></code>, <code><a href="https://rdrr.io/r/stats/fivenum.html" class="external-link">fivenum()</a></code>). Since <code><a href="https://rdrr.io/r/stats/sd.html" class="external-link">sd()</a></code> and <code><a href="https://rdrr.io/r/stats/cor.html" class="external-link">var()</a></code> are non-generic functions, these could not be extended. Use <code><a href="https://rdrr.io/r/stats/mad.html" class="external-link">mad()</a></code> as an alternative, or use e.g. <code>sd(as.numeric(x))</code> where <code>x</code> is your vector of MIC values.</p>
<p>Using <code><a href="https://rdrr.io/r/base/double.html" class="external-link">as.double()</a></code> or <code><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric()</a></code> on MIC values will remove the operators and return a numeric vector. Do <strong>not</strong> use <code><a href="https://rdrr.io/r/base/integer.html" class="external-link">as.integer()</a></code> on MIC values as by the <span style="R">R</span> convention on <a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a>s, it will return the index of the factor levels (which is often useless for regular users).</p>
<p>Use <code><a href="https://rdatatable.gitlab.io/data.table/reference/fdroplevels.html" class="external-link">droplevels()</a></code> to drop unused levels. At default, it will return a plain factor. Use <code>droplevels(..., as.mic = TRUE)</code> to maintain the <code>mic</code> class.</p>
<p>With <code>limit_mic_range()</code>, existing MIC ranges can be limited to a defined range of MIC values. This can be useful to better compare MIC distributions.</p>
<p>With <code>rescale_mic()</code>, existing MIC ranges can be limited to a defined range of MIC values. This can be useful to better compare MIC distributions.</p>
<p>For <code>ggplot2</code>, use one of the <code><a href="plot.html">scale_*_mic()</a></code> functions to plot MIC values. They allows custom MIC ranges and to plot intermediate log2 levels for missing MIC values.</p>
<p><code>NA_mic_</code> is a missing value of the new <code>mic</code> class, analogous to e.g. base <span style="R">R</span>'s <code><a href="https://rdrr.io/r/base/NA.html" class="external-link">NA_character_</a></code>.</p>
</div>
@@ -275,8 +275,8 @@
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/all.html" class="external-link">all</a></span><span class="op">(</span><span class="va">mic_data</span> <span class="op">&lt;</span> <span class="fl">512</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># limit MICs using limit_mic_range()</span></span></span>
<span class="r-in"><span><span class="fu">limit_mic_range</span><span class="op">(</span><span class="va">mic_data</span>, mic_range <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="fl">4</span>, <span class="fl">16</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="co"># limit MICs using rescale_mic()</span></span></span>
<span class="r-in"><span><span class="fu">rescale_mic</span><span class="op">(</span><span class="va">mic_data</span>, mic_range <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="fl">4</span>, <span class="fl">16</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &gt;=16 &lt;=4 &lt;=4 &lt;=4 8 &lt;=4 8 &gt;=16 &gt;=16</span>
<span class="r-in"><span></span></span>
reference/as.mo.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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
+6 -6
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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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">
@@ -276,7 +276,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<dt>S, I, R, N, SDD</dt>
<dd><p>a case-indepdendent <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> to translate input to this result. This regular expression will be run <em>after</em> all non-letters are removed from the input.</p></dd>
<dd><p>a case-independent <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> to translate input to this result. This regular expression will be run <em>after</em> all non-letters are removed from the input.</p></dd>
<dt>mo</dt>
@@ -605,10 +605,10 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 4 × 14</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_user mo_user ab mo input</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;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2024-05-20 <span style="color: #949494;">19:33:13</span> 1 TOB Escherichia c… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2024-05-20 <span style="color: #949494;">19:33:13</span> 1 GEN Escherichia c… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2024-05-20 <span style="color: #949494;">19:33:12</span> 1 CIP Escherichia c… CIP B_[ORD]_ENTRBCTR 0.256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2024-05-20 <span style="color: #949494;">19:33:12</span> 1 AMP Escherichia c… AMP B_[ORD]_ENTRBCTR 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2024-05-24 <span style="color: #949494;">13:11:09</span> 1 TOB Escherichia c… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2024-05-24 <span style="color: #949494;">13:11:09</span> 1 GEN Escherichia c… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2024-05-24 <span style="color: #949494;">13:11:09</span> 1 CIP Escherichia c… CIP B_[ORD]_ENTRBCTR 0.256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2024-05-24 <span style="color: #949494;">13:11:09</span> 1 AMP Escherichia c… AMP B_[ORD]_ENTRBCTR 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 7 more variables: outcome &lt;sir&gt;, method &lt;chr&gt;, breakpoint_S_R &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># guideline &lt;chr&gt;, host &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;</span></span>
<span class="r-in"><span></span></span>
reference/atc_online.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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/av_from_text.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="">2.1.1.9032</small>
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reference/av_property.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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reference/availability.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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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reference/bug_drug_combinations.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</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/clinical_breakpoints.html
+1 -1
View File
@@ -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="">2.1.1.9032</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9033</small>
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reference/count.html
+1 -1
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@@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/custom_eucast_rules.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="">2.1.1.9032</small>
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reference/dosage.html
+1 -1
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@@ -10,7 +10,7 @@
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reference/example_isolates_unclean.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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@@ -258,7 +258,7 @@
<dd>Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data</dd>
</dl><dl><dt>
<code><a href="as.mic.html">as.mic()</a></code> <code><a href="as.mic.html">is.mic()</a></code> <code><a href="as.mic.html">NA_mic_</a></code> <code><a href="as.mic.html">limit_mic_range()</a></code> <code><a href="as.mic.html">droplevels(<i>&lt;mic&gt;</i>)</a></code>
<code><a href="as.mic.html">as.mic()</a></code> <code><a href="as.mic.html">is.mic()</a></code> <code><a href="as.mic.html">NA_mic_</a></code> <code><a href="as.mic.html">rescale_mic()</a></code> <code><a href="as.mic.html">droplevels(<i>&lt;mic&gt;</i>)</a></code>
</dt>
<dd>Transform Input to Minimum Inhibitory Concentrations (MIC)</dd>
</dl><dl><dt>
reference/intrinsic_resistant.html
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reference/italicise_taxonomy.html
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reference/join.html
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reference/key_antimicrobials.html
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reference/like.html
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reference/mean_amr_distance.html
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reference/microorganisms.html
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reference/mo_matching_score.html
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reference/plot.html
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reference/proportion.html
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reference/translate.html
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search.json
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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
[{"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