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10
articles/AMR.html
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@ -38,7 +38,7 @@
<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="">2.0.0.9028</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9030</small>
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@ -204,7 +204,7 @@
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 08 July 2023.</p>
generated on 10 July 2023.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -260,21 +260,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2023-07-08</td>
<td align="center">2023-07-10</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">2023-07-08</td>
<td align="center">2023-07-10</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">2023-07-08</td>
<td align="center">2023-07-10</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>

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articles/EUCAST.html
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@ -38,7 +38,7 @@
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articles/MDR.html
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@ -38,7 +38,7 @@
<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="">2.0.0.9028</small>
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@ -402,17 +402,17 @@ 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 S R R R I I</span></span>
<span><span class="co">#&gt; 2 I R I I S I</span></span>
<span><span class="co">#&gt; 3 I R R I I S</span></span>
<span><span class="co">#&gt; 4 R I I S S I</span></span>
<span><span class="co">#&gt; 5 S I R S I I</span></span>
<span><span class="co">#&gt; 6 S S I I R I</span></span>
<span><span class="co">#&gt; 1 I I R I S S</span></span>
<span><span class="co">#&gt; 2 R R S I S S</span></span>
<span><span class="co">#&gt; 3 R S S S S R</span></span>
<span><span class="co">#&gt; 4 S I S S I S</span></span>
<span><span class="co">#&gt; 5 S I R R R R</span></span>
<span><span class="co">#&gt; 6 R R I R R S</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 S</span></span>
<span><span class="co">#&gt; 3 S</span></span>
<span><span class="co">#&gt; 4 S</span></span>
<span><span class="co">#&gt; 2 R</span></span>
<span><span class="co">#&gt; 3 I</span></span>
<span><span class="co">#&gt; 4 I</span></span>
<span><span class="co">#&gt; 5 R</span></span>
<span><span class="co">#&gt; 6 R</span></span></code></pre></div>
<p>We can now add the interpretation of MDR-TB to our data set. You can
@ -455,40 +455,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3196</td>
<td align="right">63.92%</td>
<td align="right">3196</td>
<td align="right">63.92%</td>
<td align="right">3172</td>
<td align="right">63.44%</td>
<td align="right">3172</td>
<td align="right">63.44%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">1028</td>
<td align="right">20.56%</td>
<td align="right">4224</td>
<td align="right">84.48%</td>
<td align="right">1056</td>
<td align="right">21.12%</td>
<td align="right">4228</td>
<td align="right">84.56%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">446</td>
<td align="right">8.92%</td>
<td align="right">4670</td>
<td align="right">93.40%</td>
<td align="right">423</td>
<td align="right">8.46%</td>
<td align="right">4651</td>
<td align="right">93.02%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">231</td>
<td align="right">4.62%</td>
<td align="right">4901</td>
<td align="right">98.02%</td>
<td align="right">251</td>
<td align="right">5.02%</td>
<td align="right">4902</td>
<td align="right">98.04%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">99</td>
<td align="right">1.98%</td>
<td align="right">98</td>
<td align="right">1.96%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>

2
articles/PCA.html
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@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -38,7 +38,7 @@
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24
articles/datasets.html
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@ -38,7 +38,7 @@
<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="">2.0.0.9028</small>
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@ -193,7 +193,7 @@
<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">08 July 2023</h4>
<h4 data-toc-skip class="date">10 July 2023</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>
@ -913,43 +913,43 @@ inhibitors</td>
<code>clinical_breakpoints</code>: Interpretation from MIC values
&amp; disk diameters to SIR<a class="anchor" aria-label="anchor" href="#clinical_breakpoints-interpretation-from-mic-values-disk-diameters-to-sir"></a>
</h2>
<p>A data set with 28 454 rows and 12 columns, containing the following
<p>A data set with 28 885 rows and 12 columns, containing the following
column names:<br><em>guideline</em>, <em>type</em>, <em>method</em>, <em>site</em>,
<em>mo</em>, <em>rank_index</em>, <em>ab</em>, <em>ref_tbl</em>,
<em>disk_dose</em>, <em>breakpoint_S</em>, <em>breakpoint_R</em>, and
<em>uti</em>.</p>
<p>This data set is in R available as <code>clinical_breakpoints</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 8 July 2023 15:30:05 UTC. Find more info about
the structure of this data set <a href="https://msberends.github.io/AMR/reference/clinical_breakpoints.html">here</a>.</p>
<p>It was last updated on 10 July 2023 11:41:52 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/clinical_breakpoints.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.rds" class="external-link">original
R Data Structure (RDS) file</a> (57 kB)<br>
R Data Structure (RDS) file</a> (59 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.txt" class="external-link">tab-separated
text file</a> (3.2 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.xlsx" class="external-link">Microsoft
Excel workbook</a> (1.2 MB)<br>
Excel workbook</a> (1.3 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.feather" class="external-link">Apache
Feather file</a> (1.1 MB)<br>
Feather file</a> (1.2 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.parquet" class="external-link">Apache
Parquet file</a> (92 kB)<br>
Parquet file</a> (87 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.sas" class="external-link">SAS
data (SAS) file</a> (3.6 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.xpt" class="external-link">SAS
transport (XPT) file</a> (7.6 MB)<br>
transport (XPT) file</a> (7.7 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.sav" class="external-link">IBM
SPSS Statistics data file</a> (4.4 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.dta" class="external-link">Stata
DTA file</a> (7.5 MB)</li>
DTA file</a> (7.6 MB)</li>
</ul>
<div class="section level3">
<h3 id="source-3">Source<a class="anchor" aria-label="anchor" href="#source-3"></a>
@ -1139,7 +1139,7 @@ DTA file</a> (9.5 MB)</li>
<h3 id="source-4">Source<a class="anchor" aria-label="anchor" href="#source-4"></a>
</h3>
<p>This data set contains all defined intrinsic resistance by EUCAST of
all bug-drug combinations, and is based on <a href="https://www.eucast.org/expert_rules_and_expected_phenotypes/" class="external-link">‘EUCAST
all bug-drug combinations, and is based on <a href="https://www.eucast.org/expert_rules_and_expected_phenotypes" class="external-link">‘EUCAST
Expert Rules’ and ‘EUCAST Intrinsic Resistance and Unusual Phenotypes’
v3.3</a> (2021).</p>
</div>

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articles/index.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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articles/welcome_to_AMR.html
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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