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@@ -37,7 +37,7 @@
<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9014</small>
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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="">2.1.1.9014</small>
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articles/AMR.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="">2.1.1.9014</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 03 March 2024.</p>
generated on 09 March 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">2024-03-03</td>
<td align="center">2024-03-09</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">2024-03-03</td>
<td align="center">2024-03-09</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">2024-03-03</td>
<td align="center">2024-03-09</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="">2.1.1.9014</small>
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articles/MDR.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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</small>
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@@ -402,19 +402,19 @@ names or codes, this would have worked exactly the same way:</p>
<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">my_TB_data</span><span class="op">)</span></span>
<span><span class="co">#&gt; rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></span>
<span><span class="co">#&gt; 1 R S R S R I</span></span>
<span><span class="co">#&gt; 2 R I S I R R</span></span>
<span><span class="co">#&gt; 3 I I R I S I</span></span>
<span><span class="co">#&gt; 4 S I S R I I</span></span>
<span><span class="co">#&gt; 5 I R S R R S</span></span>
<span><span class="co">#&gt; 6 I I R S R I</span></span>
<span><span class="co">#&gt; 1 S R I R R R</span></span>
<span><span class="co">#&gt; 2 R I R I I I</span></span>
<span><span class="co">#&gt; 3 S R S R S S</span></span>
<span><span class="co">#&gt; 4 I I I S S I</span></span>
<span><span class="co">#&gt; 5 I I R S S R</span></span>
<span><span class="co">#&gt; 6 I R R I S R</span></span>
<span><span class="co">#&gt; kanamycin</span></span>
<span><span class="co">#&gt; 1 R</span></span>
<span><span class="co">#&gt; 2 R</span></span>
<span><span class="co">#&gt; 2 S</span></span>
<span><span class="co">#&gt; 3 S</span></span>
<span><span class="co">#&gt; 4 R</span></span>
<span><span class="co">#&gt; 5 I</span></span>
<span><span class="co">#&gt; 6 S</span></span></code></pre></div>
<span><span class="co">#&gt; 4 I</span></span>
<span><span class="co">#&gt; 5 R</span></span>
<span><span class="co">#&gt; 6 I</span></span></code></pre></div>
<p>We can now add the interpretation of MDR-TB to our data set. You can
use:</p>
<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
@@ -455,40 +455,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3128</td>
<td align="right">62.56%</td>
<td align="right">3128</td>
<td align="right">62.56%</td>
<td align="right">3282</td>
<td align="right">65.64%</td>
<td align="right">3282</td>
<td align="right">65.64%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">1033</td>
<td align="right">20.66%</td>
<td align="right">4161</td>
<td align="right">83.22%</td>
<td align="right">951</td>
<td align="right">19.02%</td>
<td align="right">4233</td>
<td align="right">84.66%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">478</td>
<td align="right">9.56%</td>
<td align="right">4639</td>
<td align="right">92.78%</td>
<td align="right">427</td>
<td align="right">8.54%</td>
<td align="right">4660</td>
<td align="right">93.20%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">259</td>
<td align="right">5.18%</td>
<td align="right">4898</td>
<td align="right">97.96%</td>
<td align="right">253</td>
<td align="right">5.06%</td>
<td align="right">4913</td>
<td align="right">98.26%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">102</td>
<td align="right">2.04%</td>
<td align="right">87</td>
<td align="right">1.74%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>
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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</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="">2.1.1.9014</small>
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articles/datasets.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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</small>
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@@ -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">03 March 2024</h4>
<h4 data-toc-skip class="date">09 March 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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@@ -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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</small>
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articles/other_pkg.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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</small>
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articles/resistance_predict.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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</small>
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articles/welcome_to_AMR.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="">2.1.1.9014</small>
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authors.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="">2.1.1.9014</small>
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index.html
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@@ -43,7 +43,7 @@
<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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</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="">2.1.1.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9015</small>
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@@ -159,18 +159,18 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="2.1.1.9014" id="amr-2119014">AMR 2.1.1.9014<a class="anchor" aria-label="anchor" href="#amr-2119014"></a></h2>
<h2 class="pkg-version" data-toc-text="2.1.1.9015" id="amr-2119015">AMR 2.1.1.9015<a class="anchor" aria-label="anchor" href="#amr-2119015"></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-2-1-1-9014">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-2-1-1-9014"></a></h5>
<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9015">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-2-1-1-9015"></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-2-1-1-9014">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9014"></a></h3>
<h3 id="breaking-2-1-1-9015">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9015"></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-2-1-1-9014">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9014"></a></h3>
<h3 id="new-2-1-1-9015">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9015"></a></h3>
<ul><li>One Health implementation
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now supports 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>
@@ -184,7 +184,7 @@
<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>
</ul></div>
<div class="section level3">
<h3 id="changed-2-1-1-9014">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9014"></a></h3>
<h3 id="changed-2-1-1-9015">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9015"></a></h3>
<ul><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>
@@ -195,7 +195,7 @@
<li>Updated all antibiotic DDDs from WHOCC</li>
</ul></div>
<div class="section level3">
<h3 id="other-2-1-1-9014">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9014"></a></h3>
<h3 id="other-2-1-1-9015">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9015"></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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@@ -11,7 +11,7 @@ articles:
other_pkg: other_pkg.html
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
last_built: 2024-03-03T22:29Z
last_built: 2024-03-09T15:50Z
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="">2.1.1.9014</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="">2.1.1.9014</small>
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reference/WHOCC.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/ab_from_text.html
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reference/ab_property.html
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reference/add_custom_antimicrobials.html
+1 -1
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@@ -10,7 +10,7 @@
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reference/add_custom_microorganisms.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="">2.1.1.9014</small>
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reference/age.html
+11 -11
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="">2.1.1.9014</small>
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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 58.24317 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.00546 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.33607 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.04918 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.03552 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.14481 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 26 26.51639 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.10109 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 51 51.71038 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 37 37.56284 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.25956 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.02186 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.35246 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.06557 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.05191 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.16120 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 26 26.53279 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.11749 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 51 51.72678 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 37 37.57923 13</span>
</code></pre></div>
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reference/age_groups.html
+1 -1
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@@ -10,7 +10,7 @@
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reference/antibiogram.html
+1 -1
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@@ -10,7 +10,7 @@
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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
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reference/antibiotics.html
+1 -1
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@@ -10,7 +10,7 @@
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+1 -1
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@@ -10,7 +10,7 @@
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+1 -1
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@@ -10,7 +10,7 @@
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reference/as.disk.html
+1 -1
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@@ -10,7 +10,7 @@
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reference/as.mic.html
+1 -1
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@@ -10,7 +10,7 @@
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reference/as.mo.html
+1 -1
View File
@@ -10,7 +10,7 @@
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reference/as.sir.html
+14 -14
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@@ -24,7 +24,7 @@ All breakpoints used for interpretation are publicly available in the clinical_b
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@@ -592,19 +592,19 @@ 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: 13 × 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> 2024-03-03 <span style="color: #949494;">22:29:42</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-03-03 <span style="color: #949494;">22:29:42</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-03-03 <span style="color: #949494;">22:29:42</span> 1 CIP Escherich… CIP B_[ORD]_ENTRBCTR 0.256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-03-03 <span style="color: #949494;">22:29:42</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 2 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 3 AMX B_STRPT_P… AMX B_STRPT_PNMN 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 4 AMX B_STRPT_P… AMX B_STRPT_PNMN 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 20 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 2024-03-03 <span style="color: #949494;">22:29:37</span> 1 ampicillin Strep pneu AMP B_STRPT_PNMN 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-03-09 <span style="color: #949494;">15:51:06</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-03-09 <span style="color: #949494;">15:51:06</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-03-09 <span style="color: #949494;">15:51:06</span> 1 CIP Escherich… CIP B_[ORD]_ENTRBCTR 0.256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-03-09 <span style="color: #949494;">15:51:06</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-03-09 <span style="color: #949494;">15:51:02</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-03-09 <span style="color: #949494;">15:51:02</span> 2 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-03-09 <span style="color: #949494;">15:51:02</span> 3 AMX B_STRPT_P… AMX B_STRPT_PNMN 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-03-09 <span style="color: #949494;">15:51:02</span> 4 AMX B_STRPT_P… AMX B_STRPT_PNMN 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-03-09 <span style="color: #949494;">15:51:01</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-03-09 <span style="color: #949494;">15:51:01</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 2024-03-09 <span style="color: #949494;">15:51:01</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 2024-03-09 <span style="color: #949494;">15:51:01</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 20 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 2024-03-09 <span style="color: #949494;">15:51:01</span> 1 ampicillin Strep pneu AMP B_STRPT_PNMN 18 </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
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@@ -10,7 +10,7 @@
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+1 -1
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@@ -10,7 +10,7 @@
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@@ -10,7 +10,7 @@
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@@ -10,7 +10,7 @@
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reference/bug_drug_combinations.html
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@@ -10,7 +10,7 @@
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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
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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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@@ -10,7 +10,7 @@
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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\") #> ClLine 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\") #> ClLine truncated