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14
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="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">
@ -187,7 +187,7 @@
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 May 2023.</p>
generated on 12 May 2023.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -243,21 +243,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2023-05-08</td>
<td align="center">2023-05-12</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">2023-05-08</td>
<td align="center">2023-05-12</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">2023-05-08</td>
<td align="center">2023-05-12</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
@ -371,7 +371,6 @@ taxonomic codes. Let’s check this:</p>
<span><span class="co">#&gt; </span></span>
<span><span class="co">#&gt; --------------------------------------------------------------------------------</span></span>
<span><span class="co">#&gt; "E. coli" -&gt; Escherichia coli (B_ESCHR_COLI, 0.688)</span></span>
<span><span class="co">#&gt; Based on input "E coli"</span></span>
<span><span class="co">#&gt; Also matched: Enterobacter cowanii (0.600), Eubacterium combesii</span></span>
<span><span class="co">#&gt; (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi</span></span>
<span><span class="co">#&gt; (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides</span></span>
@ -380,7 +379,6 @@ taxonomic codes. Let’s check this:</p>
<span><span class="co">#&gt; dissolvens (0.565)</span></span>
<span><span class="co">#&gt; --------------------------------------------------------------------------------</span></span>
<span><span class="co">#&gt; "K. pneumoniae" -&gt; Klebsiella pneumoniae (B_KLBSL_PNMN, 0.786)</span></span>
<span><span class="co">#&gt; Based on input "K pneumoniae"</span></span>
<span><span class="co">#&gt; Also matched: Klebsiella pneumoniae ozaenae (0.707), Klebsiella</span></span>
<span><span class="co">#&gt; pneumoniae pneumoniae (0.688), Klebsiella pneumoniae rhinoscleromatis</span></span>
<span><span class="co">#&gt; (0.658), Klebsiella pasteurii (0.500), Klebsiella planticola (0.500),</span></span>
@ -389,7 +387,6 @@ taxonomic codes. Let’s check this:</p>
<span><span class="co">#&gt; (0.333)</span></span>
<span><span class="co">#&gt; --------------------------------------------------------------------------------</span></span>
<span><span class="co">#&gt; "S. aureus" -&gt; Staphylococcus aureus (B_STPHY_AURS, 0.690)</span></span>
<span><span class="co">#&gt; Based on input "S aureus"</span></span>
<span><span class="co">#&gt; Also matched: Staphylococcus aureus aureus (0.643), Staphylococcus</span></span>
<span><span class="co">#&gt; argenteus (0.625), Staphylococcus aureus anaerobius (0.625),</span></span>
<span><span class="co">#&gt; Streptomyces argenteolus (0.483), Streptomyces aureus (0.474),</span></span>
@ -398,7 +395,6 @@ taxonomic codes. Let’s check this:</p>
<span><span class="co">#&gt; Streptomyces aureocirculatus (0.429)</span></span>
<span><span class="co">#&gt; --------------------------------------------------------------------------------</span></span>
<span><span class="co">#&gt; "S. pneumoniae" -&gt; Streptococcus pneumoniae (B_STRPT_PNMN, 0.750)</span></span>
<span><span class="co">#&gt; Based on input "S pneumoniae"</span></span>
<span><span class="co">#&gt; Also matched: Streptococcus pseudopneumoniae (0.700), Serratia</span></span>
<span><span class="co">#&gt; proteamaculans quinovora (0.545), Streptococcus pseudoporcinus (0.536),</span></span>
<span><span class="co">#&gt; Staphylococcus pseudintermedius (0.532), Serratia proteamaculans</span></span>

2
articles/EUCAST.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="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">

56
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="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">
@ -385,18 +385,18 @@ 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 S R R</span></span>
<span><span class="co">#&gt; 2 S R S I S R</span></span>
<span><span class="co">#&gt; 3 S R I I I S</span></span>
<span><span class="co">#&gt; 4 S I R I R R</span></span>
<span><span class="co">#&gt; 5 R S R R R I</span></span>
<span><span class="co">#&gt; 6 S S S R I R</span></span>
<span><span class="co">#&gt; 1 S I I I S S</span></span>
<span><span class="co">#&gt; 2 R R I I S R</span></span>
<span><span class="co">#&gt; 3 R I S S R R</span></span>
<span><span class="co">#&gt; 4 I S R I I S</span></span>
<span><span class="co">#&gt; 5 S R R I R R</span></span>
<span><span class="co">#&gt; 6 S R S I I I</span></span>
<span><span class="co">#&gt; kanamycin</span></span>
<span><span class="co">#&gt; 1 I</span></span>
<span><span class="co">#&gt; 1 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; 3 S</span></span>
<span><span class="co">#&gt; 4 S</span></span>
<span><span class="co">#&gt; 5 R</span></span>
<span><span class="co">#&gt; 5 I</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
use:</p>
@ -438,40 +438,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3189</td>
<td align="right">63.78%</td>
<td align="right">3189</td>
<td align="right">63.78%</td>
<td align="right">3190</td>
<td align="right">63.80%</td>
<td align="right">3190</td>
<td align="right">63.80%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">996</td>
<td align="right">19.92%</td>
<td align="right">4185</td>
<td align="right">83.70%</td>
<td align="right">1008</td>
<td align="right">20.16%</td>
<td align="right">4198</td>
<td align="right">83.96%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">465</td>
<td align="right">9.30%</td>
<td align="right">4650</td>
<td align="right">93.00%</td>
<td align="right">477</td>
<td align="right">9.54%</td>
<td align="right">4675</td>
<td align="right">93.50%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">239</td>
<td align="right">4.78%</td>
<td align="right">4889</td>
<td align="right">97.78%</td>
<td align="right">224</td>
<td align="right">4.48%</td>
<td align="right">4899</td>
<td align="right">97.98%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">111</td>
<td align="right">2.22%</td>
<td align="right">101</td>
<td align="right">2.02%</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>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">

4
articles/SPSS.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="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">
@ -178,7 +178,7 @@
<h4 data-toc-skip class="author">Dr. Matthijs
Berends</h4>
<h4 data-toc-skip class="date">08 May 2023</h4>
<h4 data-toc-skip class="date">12 May 2023</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/SPSS.Rmd" class="external-link"><code>vignettes/SPSS.Rmd</code></a></small>
<div class="d-none name"><code>SPSS.Rmd</code></div>

2
articles/WHONET.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="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">

76
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="">2.0.0.9014</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.0.0.9015</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">
@ -176,7 +176,7 @@
<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 May 2023</h4>
<h4 data-toc-skip class="date">12 May 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>
@ -197,47 +197,52 @@ of the data sets look like.</p>
<h2 id="microorganisms-full-microbial-taxonomy">
<code>microorganisms</code>: Full Microbial Taxonomy<a class="anchor" aria-label="anchor" href="#microorganisms-full-microbial-taxonomy"></a>
</h2>
<p>A data set with 52 151 rows and 22 columns, containing the following
<p>A data set with 52 151 rows and 23 columns, containing the following
column names:<br><em>mo</em>, <em>fullname</em>, <em>status</em>, <em>kingdom</em>,
<em>phylum</em>, <em>class</em>, <em>order</em>, <em>family</em>,
<em>genus</em>, <em>species</em>, <em>subspecies</em>, <em>rank</em>,
<em>ref</em>, <em>source</em>, <em>lpsn</em>, <em>lpsn_parent</em>,
<em>lpsn_renamed_to</em>, <em>gbif</em>, <em>gbif_parent</em>,
<em>gbif_renamed_to</em>, <em>prevalence</em>, and <em>snomed</em>.</p>
<em>ref</em>, <em>oxygen_tolerance</em>, <em>source</em>, <em>lpsn</em>,
<em>lpsn_parent</em>, <em>lpsn_renamed_to</em>, <em>gbif</em>,
<em>gbif_parent</em>, <em>gbif_renamed_to</em>, <em>prevalence</em>, and
<em>snomed</em>.</p>
<p>This data set is in R available as <code>microorganisms</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 20 April 2023 13:20:41 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p>It was last updated on 11 May 2023 19:56:27 UTC. Find more info about
the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.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/microorganisms.rds" class="external-link">original
R Data Structure (RDS) file</a> (1.2 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.txt" class="external-link">tab-separated
text file</a> (11.3 MB)<br>
text file</a> (11.7 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.xlsx" class="external-link">Microsoft
Excel workbook</a> (5 MB)<br>
Excel workbook</a> (5.2 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.feather" class="external-link">Apache
Feather file</a> (5.4 MB)<br>
Feather file</a> (5.5 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.parquet" class="external-link">Apache
Parquet file</a> (2.6 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sas" class="external-link">SAS
data file</a> (50.9 MB)<br>
data (SAS) file</a> (50.9 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.xpt" class="external-link">SAS
transport (XPT) file</a> (48.4 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sav" class="external-link">IBM
SPSS Statistics data file</a> (16.9 MB)<br>
SPSS Statistics data file</a> (17.7 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.dta" class="external-link">Stata
DTA file</a> (47.1 MB)</li>
DTA file</a> (48.5 MB)</li>
</ul>
<p><strong>NOTE: The exported files for SAS, SPSS and Stata contain only
the first 50 SNOMED codes per record, as their file size would otherwise
exceed 100 MB; the file size limit of GitHub.</strong> Advice? Use R
instead.</p>
exceed 100 MB; the file size limit of GitHub.</strong> Their file
structures and compression techniques are very inefficient. Advice? Use
R instead. It’s free and much better in many ways.</p>
<p>The tab-separated text file and Microsoft Excel workbook both contain
all SNOMED codes as comma separated values.</p>
<div class="section level3">
@ -296,7 +301,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
</tbody>
</table>
<p>Example rows when filtering on genus <em>Escherichia</em>:</p>
<table style="width:100%;" class="table">
<table class="table">
<colgroup>
<col width="3%">
<col width="7%">
@ -304,12 +309,13 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<col width="2%">
<col width="4%">
<col width="5%">
<col width="5%">
<col width="4%">
<col width="5%">
<col width="3%">
<col width="4%">
<col width="3%">
<col width="2%">
<col width="6%">
<col width="7%">
<col width="2%">
<col width="2%">
@ -319,7 +325,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<col width="3%">
<col width="4%">
<col width="3%">
<col width="12%">
<col width="11%">
</colgroup>
<thead><tr class="header">
<th align="center">mo</th>
@ -335,6 +341,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<th align="center">subspecies</th>
<th align="center">rank</th>
<th align="center">ref</th>
<th align="center">oxygen_tolerance</th>
<th align="center">source</th>
<th align="center">lpsn</th>
<th align="center">lpsn_parent</th>
@ -360,6 +367,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center">genus</td>
<td align="center">Castellani et al., 1919</td>
<td align="center">facultative anaerobe</td>
<td align="center">LPSN</td>
<td align="center">515602</td>
<td align="center">482</td>
@ -384,6 +392,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center">species</td>
<td align="center">Leclerc, 1962</td>
<td align="center">aerobe</td>
<td align="center">LPSN</td>
<td align="center">776052</td>
<td align="center">515602</td>
@ -408,6 +417,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center">species</td>
<td align="center">Huys et al., 2003</td>
<td align="center">aerobe</td>
<td align="center">LPSN</td>
<td align="center">776053</td>
<td align="center">515602</td>
@ -432,6 +442,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center">species</td>
<td align="center">Burgess et al., 1973</td>
<td align="center">likely facultative anaerobe</td>
<td align="center">LPSN</td>
<td align="center">776056</td>
<td align="center">515602</td>
@ -456,6 +467,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center">species</td>
<td align="center">Castellani et al., 1919</td>
<td align="center">facultative anaerobe</td>
<td align="center">LPSN</td>
<td align="center">776057</td>
<td align="center">515602</td>
@ -480,6 +492,7 @@ Set Name ‘Microoganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href
<td align="center"></td>
<td align="center">species</td>
<td align="center"></td>
<td align="center">likely facultative anaerobe</td>
<td align="center">GBIF</td>
<td align="center"></td>
<td align="center"></td>
@ -525,7 +538,10 @@ Feather file</a> (0.1 MB)<br>
Parquet file</a> (97 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.sas" class="external-link">SAS
data file</a> (1.9 MB)<br>
data (SAS) file</a> (1.9 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.xpt" class="external-link">SAS
transport (XPT) file</a> (1.4 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.sav" class="external-link">IBM
SPSS Statistics data file</a> (0.3 MB)<br>
@ -725,7 +741,10 @@ Feather file</a> (15 kB)<br>
Parquet file</a> (13 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sas" class="external-link">SAS
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sav" class="external-link">IBM
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@ -903,7 +922,10 @@ Feather file</a> (0.7 MB)<br>
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data file</a> (3.6 MB)<br>
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.xpt" class="external-link">SAS
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@ -1076,7 +1098,10 @@ Feather file</a> (1.2 MB)<br>
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sas" class="external-link">SAS
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data (SAS) file</a> (9.8 MB)<br>
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.xpt" class="external-link">SAS
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sav" class="external-link">IBM
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@ -1364,7 +1389,10 @@ Feather file</a> (16 kB)<br>
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sas" class="external-link">SAS
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data (SAS) file</a> (92 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.xpt" class="external-link">SAS
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<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sav" class="external-link">IBM
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