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@ -30,7 +30,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">

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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -95,7 +95,7 @@
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 24 September 2024.</p>
generated on 29 September 2024.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -151,21 +151,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2024-09-24</td>
<td align="center">2024-09-29</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">2024-09-24</td>
<td align="center">2024-09-29</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">2024-09-24</td>
<td align="center">2024-09-29</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
@ -279,37 +279,35 @@ 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; Also matched: Escherichia coli coli (0.643), Escherichia coli</span></span>
<span><span class="co">#&gt; expressing (0.611), 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>
<span><span class="co">#&gt; (0.583), Enterococcus casseliflavus (0.577), and Enterobacter cloacae</span></span>
<span><span class="co">#&gt; cloacae (0.571)</span></span>
<span><span class="co">#&gt; Also matched: Enterococcus crotali (0.650), Escherichia coli coli</span></span>
<span><span class="co">#&gt; (0.643), Escherichia coli expressing (0.611), Erwinia coffeiphila</span></span>
<span><span class="co">#&gt; (0.605), Eubacterium coprostanoligenes (0.603), Enterobacter cowanii</span></span>
<span><span class="co">#&gt; (0.600), Eubacterium combesii (0.600), Enterococcus columbae (0.595),</span></span>
<span><span class="co">#&gt; Eggerthia catenaformis (0.591), and Enterococcus camelliae (0.591)</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; 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>
<span><span class="co">#&gt; Kingella potus (0.400), Kluyveromyces pseudotropicale (0.386),</span></span>
<span><span class="co">#&gt; Kluyveromyces pseudotropicalis (0.363), Kosakonia pseudosacchari</span></span>
<span><span class="co">#&gt; (0.361), and Kluyveromyces pseudotropicalis pseudotropicalis (0.361)</span></span>
<span><span class="co">#&gt; (0.658), Kosakonia pseudosacchari (0.542), Kaistella palustris (0.500),</span></span>
<span><span class="co">#&gt; Kaistella polysaccharea (0.500), Kingella potus (0.500), Kingella</span></span>
<span><span class="co">#&gt; pumchi (0.500), Klebsiella pasteurii (0.500), and Klebsiella planticola</span></span>
<span><span class="co">#&gt; (0.500)</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; Also matched: Staphylococcus aureus aureus (0.643), Staphylococcus</span></span>
<span><span class="co">#&gt; argenteus (0.625), Staphylococcus aureus anaerobius (0.625), Salmonella</span></span>
<span><span class="co">#&gt; Aurelianis (0.595), Salmonella Aarhus (0.588), Salmonella Amounderness</span></span>
<span><span class="co">#&gt; (0.587), Selenomonas artemidis (0.571), Salmonella choleraesuis</span></span>
<span><span class="co">#&gt; arizonae (0.562), Streptococcus anginosus anginosus (0.561), and</span></span>
<span><span class="co">#&gt; Salmonella Abaetetuba (0.548)</span></span>
<span><span class="co">#&gt; "S. aureus" -&gt; Streptomyces aureus (B_SMYCS_AURS, 0.711)</span></span>
<span><span class="co">#&gt; Also matched: Streptomyces azureus (0.700), Staphylococcus aureus</span></span>
<span><span class="co">#&gt; (0.690), Streptomyces aureorectus (0.667), Streptomyces albipurpureus</span></span>
<span><span class="co">#&gt; (0.654), Streptomyces auratus (0.650), Staphylococcus aureus aureus</span></span>
<span><span class="co">#&gt; (0.643), Streptomyces aurantiogriseus (0.643), Streptomyces</span></span>
<span><span class="co">#&gt; aureocirculatus (0.643), Streptomyces aureoverticillatus (0.629), and</span></span>
<span><span class="co">#&gt; Staphylococcus argenteus (0.625)</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; 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>
<span><span class="co">#&gt; proteamaculans (0.526), Salmonella Portanigra (0.524), Sphingomonas</span></span>
<span><span class="co">#&gt; paucimobilis (0.520), Streptococcus pluranimalium (0.519),</span></span>
<span><span class="co">#&gt; Streptococcus constellatus pharyngis (0.514), and Salmonella Pakistan</span></span>
<span><span class="co">#&gt; (0.500)</span></span>
<span><span class="co">#&gt; Also matched: Streptococcus pseudopneumoniae (0.700), Sphingomonas</span></span>
<span><span class="co">#&gt; piscinae (0.619), Sphingomonas paeninsulae (0.604), Streptomyces</span></span>
<span><span class="co">#&gt; pseudovenezuelae (0.603), Sphingomonas panaciterrae (0.600),</span></span>
<span><span class="co">#&gt; Sphingobacterium pakistanense (0.586), Shewanella pneumatophori</span></span>
<span><span class="co">#&gt; (0.583), Sphingobacterium pakistanensis (0.583), Sphingomonas palmae</span></span>
<span><span class="co">#&gt; (0.579), and Sphingomonas pseudosanguinis (0.571)</span></span>
<span><span class="co">#&gt; </span></span>
<span><span class="co">#&gt; Only the first 10 other matches of each record are shown. Run</span></span>
<span><span class="co">#&gt; print(mo_uncertainties(), n = ...) to view more entries, or save</span></span>
@ -348,11 +346,11 @@ dplyr:</p>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> P3 A 2014-09-19 B_ESCHR_COLI R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> P10 A 2015-12-10 B_ESCHR_COLI S I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B7 A 2015-03-02 B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> W3 A 2018-03-31 B_STPHY_AURS R S R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> W3 A 2018-03-31 B_SMYCS_AURS R S R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> J8 A 2016-06-14 B_ESCHR_COLI R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> M3 A 2015-10-25 B_ESCHR_COLI R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> J3 A 2019-06-19 B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> G6 A 2015-04-27 B_STPHY_AURS S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> G6 A 2015-04-27 B_SMYCS_AURS S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,990 more rows</span></span></span></code></pre></div>
<p>This is basically it for the cleaning, time to start the data
inclusion.</p>
@ -406,9 +404,9 @@ the methods on the <code><a href="../reference/first_isolate.html">first_isolate
<span><span class="co">#&gt; ℹ Using column 'patient_id' as input for col_patient_id.</span></span>
<span><span class="co">#&gt; ℹ Basing inclusion on all antimicrobial results, using a points threshold</span></span>
<span><span class="co">#&gt; of 2</span></span>
<span><span class="co">#&gt; =&gt; Found 2,712 'phenotype-based' first isolates (90.4% of total where a</span></span>
<span><span class="co">#&gt; =&gt; Found 2,724 'phenotype-based' first isolates (90.8% of total where a</span></span>
<span><span class="co">#&gt; microbial ID was available)</span></span></code></pre></div>
<p>So only 90% is suitable for resistance analysis! We can now filter on
<p>So only 91% is suitable for resistance analysis! We can now filter on
it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code> function, also from the
<code>dplyr</code> package:</p>
<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
@ -418,24 +416,24 @@ it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html" cl
<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">our_data_1st</span> <span class="op">&lt;-</span> <span class="va">our_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="../reference/first_isolate.html">filter_first_isolate</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
<p>So we end up with 2 712 isolates for analysis. Now our data looks
<p>So we end up with 2 724 isolates for analysis. Now our data looks
like:</p>
<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">our_data_1st</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,712 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,724 × 9</span></span></span>
<span><span class="co">#&gt; patient_id hospital date bacteria AMX AMC CIP GEN first</span></span>
<span><span class="co">#&gt; <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;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> J3 A 2012-11-21 B_ESCHR_COLI R I S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> R7 A 2018-04-03 B_KLBSL_PNMN R I S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> P10 A 2015-12-10 B_ESCHR_COLI S I S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B7 A 2015-03-02 B_ESCHR_COLI S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> W3 A 2018-03-31 B_STPHY_AURS R S R S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> W3 A 2018-03-31 B_SMYCS_AURS R S R S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> M3 A 2015-10-25 B_ESCHR_COLI R S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> J3 A 2019-06-19 B_ESCHR_COLI S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> G6 A 2015-04-27 B_STPHY_AURS S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> G6 A 2015-04-27 B_SMYCS_AURS S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> P4 A 2011-06-21 B_ESCHR_COLI S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Z1 A 2014-09-05 B_ESCHR_COLI S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,702 more rows</span></span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,714 more rows</span></span></span></code></pre></div>
<p>Time for the analysis.</p>
</div>
</div>
@ -448,29 +446,29 @@ impression, as it comes with support for the new <code>mo</code> and
<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">our_data_1st</span><span class="op">)</span></span>
<span><span class="co">#&gt; patient_id hospital date </span></span>
<span><span class="co">#&gt; Length:2712 Length:2712 Min. :2011-01-01 </span></span>
<span><span class="co">#&gt; Class :character Class :character 1st Qu.:2013-05-03 </span></span>
<span><span class="co">#&gt; Mode :character Mode :character Median :2015-06-16 </span></span>
<span><span class="co">#&gt; Mean :2015-06-21 </span></span>
<span><span class="co">#&gt; 3rd Qu.:2017-08-24 </span></span>
<span><span class="co">#&gt; Length:2724 Length:2724 Min. :2011-01-01 </span></span>
<span><span class="co">#&gt; Class :character Class :character 1st Qu.:2013-04-26 </span></span>
<span><span class="co">#&gt; Mode :character Mode :character Median :2015-06-14 </span></span>
<span><span class="co">#&gt; Mean :2015-06-18 </span></span>
<span><span class="co">#&gt; 3rd Qu.:2017-08-21 </span></span>
<span><span class="co">#&gt; Max. :2019-12-27 </span></span>
<span><span class="co">#&gt; bacteria AMX AMC </span></span>
<span><span class="co">#&gt; Class :mo Class:sir Class:sir </span></span>
<span><span class="co">#&gt; &lt;NA&gt; :0 %S :41.0% (n=1112) %S :52.0% (n=1409) </span></span>
<span><span class="co">#&gt; Unique:4 %SDD : 0.0% (n=0) %SDD : 0.0% (n=0) </span></span>
<span><span class="co">#&gt; #1 :B_ESCHR_COLI %I :16.1% (n=437) %I :12.0% (n=325) </span></span>
<span><span class="co">#&gt; #2 :B_STPHY_AURS %R :42.9% (n=1163) %R :36.1% (n=978) </span></span>
<span><span class="co">#&gt; &lt;NA&gt; :0 %S :41.4% (n=1127) %S :52.2% (n=1421) </span></span>
<span><span class="co">#&gt; Unique:5 %SDD : 0.0% (n=0) %SDD : 0.0% (n=0) </span></span>
<span><span class="co">#&gt; #1 :B_ESCHR_COLI %I :16.1% (n=438) %I :12.1% (n=329) </span></span>
<span><span class="co">#&gt; #2 :B_STPHY_AURS %R :42.5% (n=1159) %R :35.8% (n=974) </span></span>
<span><span class="co">#&gt; #3 :B_STRPT_PNMN %NI : 0.0% (n=0) %NI : 0.0% (n=0) </span></span>
<span><span class="co">#&gt; CIP GEN first </span></span>
<span><span class="co">#&gt; Class:sir Class:sir Mode:logical </span></span>
<span><span class="co">#&gt; %S :51.5% (n=1396) %S :59.6% (n=1616) TRUE:2712 </span></span>
<span><span class="co">#&gt; %S :51.7% (n=1407) %S :59.9% (n=1632) TRUE:2724 </span></span>
<span><span class="co">#&gt; %SDD : 0.0% (n=0) %SDD : 0.0% (n=0) </span></span>
<span><span class="co">#&gt; %I : 6.6% (n=178) %I : 3.1% (n=85) </span></span>
<span><span class="co">#&gt; %R :42.0% (n=1138) %R :37.3% (n=1011) </span></span>
<span><span class="co">#&gt; %I : 6.5% (n=178) %I : 3.1% (n=85) </span></span>
<span><span class="co">#&gt; %R :41.8% (n=1139) %R :37.0% (n=1007) </span></span>
<span><span class="co">#&gt; %NI : 0.0% (n=0) %NI : 0.0% (n=0)</span></span>
<span></span>
<span><span class="fu"><a href="https://pillar.r-lib.org/reference/glimpse.html" class="external-link">glimpse</a></span><span class="op">(</span><span class="va">our_data_1st</span><span class="op">)</span></span>
<span><span class="co">#&gt; Rows: 2,712</span></span>
<span><span class="co">#&gt; Rows: 2,724</span></span>
<span><span class="co">#&gt; Columns: 9</span></span>
<span><span class="co">#&gt; $ patient_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "J3", "R7", "P10", "B7", "W3", "M3", "J3", "G6", "P4", "Z1"…</span></span>
<span><span class="co">#&gt; $ hospital <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "A", "A", "A", "A", "A", "A", "A", "A", "A", "A", "A", "A",…</span></span>
@ -485,7 +483,7 @@ impression, as it comes with support for the new <code>mo</code> and
<span><span class="co"># number of unique values per column:</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="va">our_data_1st</span>, <span class="va">n_distinct</span><span class="op">)</span></span>
<span><span class="co">#&gt; patient_id hospital date bacteria AMX AMC CIP </span></span>
<span><span class="co">#&gt; 260 3 1852 4 3 3 3 </span></span>
<span><span class="co">#&gt; 260 3 1853 5 3 3 3 </span></span>
<span><span class="co">#&gt; GEN first </span></span>
<span><span class="co">#&gt; 3 1</span></span></code></pre></div>
<div class="section level3">
@ -497,23 +495,25 @@ microorganisms:</p>
<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">our_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="../reference/count.html">count</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="va">bacteria</span><span class="op">)</span>, sort <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 4 × 2</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 5 × 2</span></span></span>
<span><span class="co">#&gt; `mo_name(bacteria)` n</span></span>
<span><span class="co">#&gt; <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> Escherichia coli <span style="text-decoration: underline;">1</span>518</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> Staphylococcus aureus 730</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> Staphylococcus aureus 483</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> Streptococcus pneumoniae 426</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae 326</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> Streptomyces aureus 247</span></span>
<span></span>
<span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="../reference/count.html">count</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="va">bacteria</span><span class="op">)</span>, sort <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 4 × 2</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 5 × 2</span></span></span>
<span><span class="co">#&gt; `mo_name(bacteria)` n</span></span>
<span><span class="co">#&gt; <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> Escherichia coli <span style="text-decoration: underline;">1</span>319</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> Staphylococcus aureus 676</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> Staphylococcus aureus 456</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> Streptococcus pneumoniae 400</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae 317</span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae 317</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> Streptomyces aureus 232</span></span></code></pre></div>
</div>
<div class="section level3">
<h3 id="select-and-filter-with-antibiotic-selectors">Select and filter with antibiotic selectors<a class="anchor" aria-label="anchor" href="#select-and-filter-with-antibiotic-selectors"></a>
@ -525,7 +525,7 @@ in:</p>
<code class="sourceCode R"><span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">date</span>, <span class="fu"><a href="../reference/antibiotic_class_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; ℹ For aminoglycosides() using column 'GEN' (gentamicin)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,712 × 2</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,724 × 2</span></span></span>
<span><span class="co">#&gt; date GEN </span></span>
<span><span class="co">#&gt; <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> 2012-11-21 S </span></span>
@ -538,100 +538,100 @@ in:</p>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> 2015-04-27 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 2011-06-21 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 2014-09-05 S </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,702 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,714 more rows</span></span></span>
<span></span>
<span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">bacteria</span>, <span class="fu"><a href="../reference/antibiotic_class_selectors.html">betalactams</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC'</span></span>
<span><span class="co">#&gt; (amoxicillin/clavulanic acid)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,712 × 3</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,724 × 3</span></span></span>
<span><span class="co">#&gt; bacteria AMX AMC </span></span>
<span><span class="co">#&gt; <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> B_ESCHR_COLI R I </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> B_KLBSL_PNMN R I </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> B_ESCHR_COLI S I </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B_ESCHR_COLI S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B_STPHY_AURS R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B_SMYCS_AURS R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> B_ESCHR_COLI R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> B_ESCHR_COLI S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> B_STPHY_AURS S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> B_SMYCS_AURS S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> B_ESCHR_COLI S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> B_ESCHR_COLI S S </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,702 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,714 more rows</span></span></span>
<span></span>
<span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">bacteria</span>, <span class="fu"><a href="https://tidyselect.r-lib.org/reference/where.html" class="external-link">where</a></span><span class="op">(</span><span class="va">is.sir</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,712 × 5</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 2,724 × 5</span></span></span>
<span><span class="co">#&gt; bacteria AMX AMC CIP GEN </span></span>
<span><span class="co">#&gt; <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> B_ESCHR_COLI R I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> B_KLBSL_PNMN R I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> B_ESCHR_COLI S I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B_STPHY_AURS R S R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B_SMYCS_AURS R S R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> B_ESCHR_COLI R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> B_STPHY_AURS S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> B_SMYCS_AURS S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,702 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,714 more rows</span></span></span>
<span></span>
<span><span class="co"># filtering using AB selectors is also possible:</span></span>
<span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/any.html" class="external-link">any</a></span><span class="op">(</span><span class="fu"><a href="../reference/antibiotic_class_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span> <span class="op">==</span> <span class="st">"R"</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; ℹ For aminoglycosides() using column 'GEN' (gentamicin)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 1,011 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 1,007 × 9</span></span></span>
<span><span class="co">#&gt; patient_id hospital date bacteria AMX AMC CIP GEN first</span></span>
<span><span class="co">#&gt; <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;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> J5 A 2017-12-25 B_STRPT_PNMN R S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> X1 A 2017-07-04 B_STPHY_AURS R S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> X1 A 2017-07-04 B_SMYCS_AURS R S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> B3 A 2016-07-24 B_ESCHR_COLI S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> V7 A 2012-04-03 B_ESCHR_COLI S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> C9 A 2017-03-23 B_ESCHR_COLI S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> R1 A 2018-06-10 B_STPHY_AURS S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> R1 A 2018-06-10 B_SMYCS_AURS S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> S2 A 2013-07-19 B_STRPT_PNMN S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> P5 A 2019-03-09 B_STPHY_AURS S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Q8 A 2019-08-10 B_STPHY_AURS S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> P5 A 2019-03-09 B_SMYCS_AURS S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Q8 A 2019-08-10 B_SMYCS_AURS S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> K5 A 2013-03-15 B_STRPT_PNMN S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 1,001 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 997 more rows</span></span></span>
<span></span>
<span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</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="fu"><a href="../reference/antibiotic_class_selectors.html">betalactams</a></span><span class="op">(</span><span class="op">)</span> <span class="op">==</span> <span class="st">"R"</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="co">#&gt; ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC'</span></span>
<span><span class="co">#&gt; (amoxicillin/clavulanic acid)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 483 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 479 × 9</span></span></span>
<span><span class="co">#&gt; patient_id hospital date bacteria AMX AMC CIP GEN first</span></span>
<span><span class="co">#&gt; <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;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> M7 A 2013-07-22 B_STRPT_PNMN R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> R10 A 2013-12-20 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> R7 A 2015-10-25 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> R8 A 2019-10-25 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> R10 A 2013-12-20 B_SMYCS_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> R7 A 2015-10-25 B_SMYCS_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> R8 A 2019-10-25 B_SMYCS_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B6 A 2016-11-20 B_ESCHR_COLI R R R R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> I7 A 2015-08-19 B_ESCHR_COLI R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> N3 A 2014-12-29 B_STRPT_PNMN R R R S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Q2 A 2019-09-22 B_ESCHR_COLI R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> X7 A 2011-03-20 B_ESCHR_COLI R R S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> V1 A 2018-08-07 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 473 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> C5 A 2015-08-30 B_KLBSL_PNMN R R S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 469 more rows</span></span></span>
<span></span>
<span><span class="co"># even works in base R (since R 3.0):</span></span>
<span><span class="va">our_data_1st</span><span class="op">[</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="fu"><a href="../reference/antibiotic_class_selectors.html">betalactams</a></span><span class="op">(</span><span class="op">)</span> <span class="op">==</span> <span class="st">"R"</span><span class="op">)</span>, <span class="op">]</span></span>
<span><span class="co">#&gt; ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC'</span></span>
<span><span class="co">#&gt; (amoxicillin/clavulanic acid)</span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 483 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 479 × 9</span></span></span>
<span><span class="co">#&gt; patient_id hospital date bacteria AMX AMC CIP GEN first</span></span>
<span><span class="co">#&gt; <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;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> M7 A 2013-07-22 B_STRPT_PNMN R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> R10 A 2013-12-20 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> R7 A 2015-10-25 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> R8 A 2019-10-25 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> R10 A 2013-12-20 B_SMYCS_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> R7 A 2015-10-25 B_SMYCS_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> R8 A 2019-10-25 B_SMYCS_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B6 A 2016-11-20 B_ESCHR_COLI R R R R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> I7 A 2015-08-19 B_ESCHR_COLI R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> N3 A 2014-12-29 B_STRPT_PNMN R R R S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Q2 A 2019-09-22 B_ESCHR_COLI R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> X7 A 2011-03-20 B_ESCHR_COLI R R S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> V1 A 2018-08-07 B_STPHY_AURS R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 473 more rows</span></span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> C5 A 2015-08-30 B_KLBSL_PNMN R R S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 469 more rows</span></span></span></code></pre></div>
</div>
<div class="section level3">
<h3 id="generate-antibiograms">Generate antibiograms<a class="anchor" aria-label="anchor" href="#generate-antibiograms"></a>
@ -1230,7 +1230,7 @@ I (<code><a href="../reference/proportion.html">proportion_SI()</a></code>, equa
own:</p>
<div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">our_data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="../reference/proportion.html">resistance</a></span><span class="op">(</span><span class="va">AMX</span><span class="op">)</span></span>
<span><span class="co">#&gt; [1] 0.4288348</span></span></code></pre></div>
<span><span class="co">#&gt; [1] 0.4254772</span></span></code></pre></div>
<p>Or can be used in conjunction with <code><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by()</a></code> and
<code><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise()</a></code>, both from the <code>dplyr</code> package:</p>
<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
@ -1240,9 +1240,9 @@ own:</p>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 3 × 2</span></span></span>
<span><span class="co">#&gt; hospital amoxicillin</span></span>
<span><span class="co">#&gt; <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> A 0.342</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> A 0.336</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> B 0.564</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> C 0.372</span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> C 0.370</span></span></code></pre></div>
<hr>
<p><em>Author: Dr. Matthijs Berends, 26th Feb 2023</em></p>
</div>

2
articles/EUCAST.html
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">

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@ -29,7 +29,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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129
articles/datasets.html
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -84,7 +84,7 @@
<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">24 September 2024</h4>
<h4 data-toc-skip class="date">29 September 2024</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
<div class="d-none name"><code>datasets.Rmd</code></div>
@ -96,16 +96,16 @@
interpretation, EUCAST rules, etc.) in this <code>AMR</code> package are
reliable, up-to-date and freely available. We continually export our
data sets to formats for use in R, MS Excel, Apache Feather, Apache
Parquet, SPSS, SAS, and Stata. We also provide tab-separated text files
that are machine-readable and suitable for input in any software
program, such as laboratory information systems.</p>
Parquet, SPSS, and Stata. We also provide tab-separated text files that
are machine-readable and suitable for input in any software program,
such as laboratory information systems.</p>
<p>On this page, we explain how to download them and how the structure
of the data sets look like.</p>
<div class="section level2">
<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 70 547 rows and 26 columns, containing the following
<p>A data set with 78 678 rows and 26 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>,
@ -116,36 +116,33 @@ column names:<br><em>mo</em>, <em>fullname</em>, <em>status</em>, <em>kingdom</e
<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 17 July 2024 12:29:55 UTC. Find more info
<p>It was last updated on 29 September 2024 20:17:56 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> (1.6 MB)<br>
R Data Structure (RDS) file</a> (1.8 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> (16 MB)<br>
text file</a> (17.7 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> (7.8 MB)<br>
Excel workbook</a> (8.7 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> (19 MB)<br>
Feather file</a> (8.3 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> (0 kB)<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> (69.5 MB)<br>
Parquet file</a> (3.8 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> (24.5 MB)<br>
SPSS Statistics data file</a> (28.9 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> (69.5 MB)</li>
DTA file</a> (92.5 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
<p><strong>NOTE: The exported files for 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> Their file
structures and compression techniques are very inefficient. Advice? Use
R instead. It’s free and much better in many ways.</p>
@ -193,23 +190,23 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
</tr>
<tr class="even">
<td align="center">Animalia</td>
<td align="center">1 713</td>
<td align="center">1 628</td>
</tr>
<tr class="odd">
<td align="center">Archaea</td>
<td align="center">1 418</td>
<td align="center">1 419</td>
</tr>
<tr class="even">
<td align="center">Bacteria</td>
<td align="center">39 238</td>
<td align="center">39 248</td>
</tr>
<tr class="odd">
<td align="center">Chromista</td>
<td align="center">164</td>
<td align="center">178</td>
</tr>
<tr class="even">
<td align="center">Fungi</td>
<td align="center">19 878</td>
<td align="center">28 137</td>
</tr>
</tbody>
</table>
@ -297,7 +294,7 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center"></td>
<td align="center">11158430</td>
<td align="center"></td>
<td align="center">1.0</td>
<td align="center">1</td>
<td align="center">407310004, 407251000, 407281008, …</td>
</tr>
<tr class="even">
@ -325,7 +322,7 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center">1.0</td>
<td align="center">1</td>
<td align="center"></td>
</tr>
<tr class="odd">
@ -353,7 +350,7 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center">5427575</td>
<td align="center"></td>
<td align="center"></td>
<td align="center">1.0</td>
<td align="center">1</td>
<td align="center">419388003</td>
</tr>
<tr class="even">
@ -381,7 +378,7 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center">1.5</td>
<td align="center">1</td>
<td align="center"></td>
</tr>
<tr class="odd">
@ -409,7 +406,7 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center">11286021</td>
<td align="center"></td>
<td align="center"></td>
<td align="center">1.0</td>
<td align="center">1</td>
<td align="center">1095001000112106, 715307006, 737528008, …</td>
</tr>
<tr class="even">
@ -437,7 +434,7 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center">12233256</td>
<td align="center">11286021</td>
<td align="center"></td>
<td align="center">1.0</td>
<td align="center">1</td>
<td align="center"></td>
</tr>
</tbody>
@ -455,7 +452,7 @@ column names:<br><em>ab</em>, <em>cid</em>, <em>name</em>, <em>group</em>, <em>a
<em>iv_ddd</em>, <em>iv_units</em>, and <em>loinc</em>.</p>
<p>This data set is in R available as <code>antibiotics</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 19 September 2024 09:44:56 UTC. Find more info
<p>It was last updated on 29 September 2024 20:17:56 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@ -474,18 +471,15 @@ Feather file</a> (0.1 MB)<br>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.parquet" class="external-link">Apache
Parquet file</a> (0.1 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> (1.5 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> (0.4 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.dta" class="external-link">Stata
DTA file</a> (0.5 MB)</li>
</ul>
<p>The tab-separated text file and Microsoft Excel workbook, and SAS,
SPSS and Stata files all contain the ATC codes, common abbreviations,
trade names and LOINC codes as comma separated values.</p>
<p>The tab-separated text, Microsoft Excel, SPSS, and Stata files all
contain the ATC codes, common abbreviations, trade names and LOINC codes
as comma separated values.</p>
<div class="section level3">
<h3 id="source-1">Source<a class="anchor" aria-label="anchor" href="#source-1"></a>
</h3>
@ -674,18 +668,14 @@ Feather file</a> (16 kB)<br>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.parquet" class="external-link">Apache
Parquet file</a> (13 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.xpt" class="external-link">SAS
transport (XPT) file</a> (73 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sav" class="external-link">IBM
SPSS Statistics data file</a> (32 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.dta" class="external-link">Stata
DTA file</a> (78 kB)</li>
</ul>
<p>The tab-separated text file and Microsoft Excel workbook, and SAS,
SPSS and Stata files all contain the trade names and LOINC codes as
comma separated values.</p>
<p>The tab-separated text, Microsoft Excel, SPSS, and Stata files all
contain the trade names and LOINC codes as comma separated values.</p>
<div class="section level3">
<h3 id="source-2">Source<a class="anchor" aria-label="anchor" href="#source-2"></a>
</h3>
@ -834,7 +824,7 @@ column names:<br><em>guideline</em>, <em>type</em>, <em>host</em>, <em>method</e
<em>breakpoint_R</em>, <em>uti</em>, and <em>is_SDD</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 16 July 2024 12:51:57 UTC. Find more info
<p>It was last updated on 29 September 2024 20:17:56 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>
@ -848,13 +838,10 @@ text file</a> (3.1 MB)<br>
Excel workbook</a> (2 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> (4.9 MB)<br>
Feather file</a> (1.5 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> (0 kB)<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> (9.6 MB)<br>
Parquet file</a> (0.1 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> (5.6 MB)<br>
@ -1047,11 +1034,11 @@ use.</p>
<code>intrinsic_resistant</code>: Intrinsic Bacterial
Resistance<a class="anchor" aria-label="anchor" href="#intrinsic_resistant-intrinsic-bacterial-resistance"></a>
</h2>
<p>A data set with 340 804 rows and 2 columns, containing the following
<p>A data set with 301 583 rows and 2 columns, containing the following
column names:<br><em>mo</em> and <em>ab</em>.</p>
<p>This data set is in R available as <code>intrinsic_resistant</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 16 July 2024 12:51:57 UTC. Find more info
<p>It was last updated on 29 September 2024 20:17:56 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/intrinsic_resistant.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@ -1059,25 +1046,22 @@ about the structure of this data set <a href="https://msberends.github.io/AMR/re
R Data Structure (RDS) file</a> (0.1 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.txt" class="external-link">tab-separated
text file</a> (12.4 MB)<br>
text file</a> (10.9 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.xlsx" class="external-link">Microsoft
Excel workbook</a> (3.4 MB)<br>
Excel workbook</a> (3 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.feather" class="external-link">Apache
Feather file</a> (13.1 MB)<br>
Feather file</a> (2.5 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.parquet" class="external-link">Apache
Parquet file</a> (0 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.xpt" class="external-link">SAS
transport (XPT) file</a> (28.3 MB)<br>
Parquet file</a> (0.3 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sav" class="external-link">IBM
SPSS Statistics data file</a> (18.4 MB)<br>
SPSS Statistics data file</a> (16.2 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.dta" class="external-link">Stata
DTA file</a> (28.3 MB)</li>
DTA file</a> (25 MB)</li>
</ul>
<div class="section level3">
<h3 id="source-4">Source<a class="anchor" aria-label="anchor" href="#source-4"></a>
@ -1358,9 +1342,6 @@ Feather file</a> (21 kB)<br>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.parquet" class="external-link">Apache
Parquet file</a> (9 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
transport (XPT) file</a> (0.1 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sav" class="external-link">IBM
SPSS Statistics data file</a> (64 kB)<br>
</li>
@ -2011,18 +1992,18 @@ column names:<br><em>mo_group</em>, <em>mo</em>, <em>mo_group_name</em>, and
<p>This data set is in R available as
<code>microorganisms.groups</code>, after you load the <code>AMR</code>
package.</p>
<p>It was last updated on 14 July 2023 08:49:06 UTC. Find more info
<p>It was last updated on 29 September 2024 20:17:56 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.groups.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.groups.rds" class="external-link">original
R Data Structure (RDS) file</a> (6 kB)<br>
R Data Structure (RDS) file</a> (5 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.txt" class="external-link">tab-separated
text file</a> (49 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.xlsx" class="external-link">Microsoft
Excel workbook</a> (20 kB)<br>
Excel workbook</a> (19 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.feather" class="external-link">Apache
Feather file</a> (19 kB)<br>
@ -2030,11 +2011,8 @@ Feather file</a> (19 kB)<br>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.parquet" class="external-link">Apache
Parquet file</a> (13 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.xpt" class="external-link">SAS
transport (XPT) file</a> (0 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.sav" class="external-link">IBM
SPSS Statistics data file</a> (64 kB)<br>
SPSS Statistics data file</a> (63 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.groups.dta" class="external-link">Stata
DTA file</a> (81 kB)</li>
@ -2076,7 +2054,7 @@ which are used in the <code>clinical_breakpoints</code> data set.</p>
</tr>
<tr class="odd">
<td align="center">B_ACNTB_BMNN-C</td>
<td align="center">B_ACNTB_DJKS</td>
<td align="center">B_ACNTB_LCTC</td>
<td align="center">Acinetobacter baumannii complex</td>
<td align="center">Acinetobacter dijkshoorniae</td>
</tr>
@ -2110,7 +2088,7 @@ which are used in the <code>clinical_breakpoints</code> data set.</p>
column names:<br><em>code</em> and <em>mo</em>.</p>
<p>This data set is in R available as <code>microorganisms.codes</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 16 July 2024 12:51:57 UTC. Find more info
<p>It was last updated on 29 September 2024 20:17:56 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.codes.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@ -2124,13 +2102,10 @@ text file</a> (0.1 MB)<br>
Excel workbook</a> (82 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.codes.feather" class="external-link">Apache
Feather file</a> (0.1 MB)<br>
Feather file</a> (85 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.codes.parquet" class="external-link">Apache
Parquet file</a> (0 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.codes.xpt" class="external-link">SAS
transport (XPT) file</a> (0 kB)<br>
Parquet file</a> (56 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.codes.sav" class="external-link">IBM
SPSS Statistics data file</a> (0.1 MB)<br>

2
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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2
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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2
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">

8
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@ -29,7 +29,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -112,7 +112,7 @@ this a successful and durable project!</p>
10.18637/jss.v104.i03</a>) and formed the basis of two PhD theses (<a href="https://doi.org/10.33612/diss.177417131" class="external-link">DOI
10.33612/diss.177417131</a> and <a href="https://doi.org/10.33612/diss.192486375" class="external-link">DOI
10.33612/diss.192486375</a>).</p>
<p>After installing this package, R knows ~71 000 distinct microbial
<p>After installing this package, R knows ~79 000 distinct microbial
species and all ~600 antibiotic, antimycotic and antiviral drugs by name
and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED
CT), and knows all about valid SIR and MIC values. The integral
@ -166,8 +166,8 @@ translate MIC values and disk diffusion diameters to SIR</li>
<p>All reference data sets (about microorganisms, antibiotics, SIR
interpretation, EUCAST rules, etc.) in this <code>AMR</code> package are
publicly and freely available. We continually export our data sets to
formats for use in R, SPSS, SAS, Stata and Excel. We also supply flat
files that are machine-readable and suitable for input in any software
formats for use in R, SPSS, Stata and Excel. We also supply flat files
that are machine-readable and suitable for input in any software
program, such as laboratory information systems. Please find <a href="https://msberends.github.io/AMR/articles/datasets.html">all
download links on our website</a>, which is automatically updated with
every code change.</p>

6
authors.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -70,6 +70,10 @@
<p><strong>Casper J. Albers</strong>. Thesis advisor. <a href="https://orcid.org/0000-0002-9213-6743" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
</p>
</li>
<li>
<p><strong>Larisse Bolton</strong>. Contributor. <a href="https://orcid.org/0000-0001-7879-2173" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
</p>
</li>
<li>
<p><strong>Peter Dutey-Magni</strong>. Contributor. <a href="https://orcid.org/0000-0002-8942-9836" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
</p>

2
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@ -32,7 +32,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">

63
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -53,20 +53,22 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="2.1.1.9080" id="amr-2119080">AMR 2.1.1.9080<a class="anchor" aria-label="anchor" href="#amr-2119080"></a></h2>
<h2 class="pkg-version" data-toc-text="2.1.1.9081" id="amr-2119081">AMR 2.1.1.9081<a class="anchor" aria-label="anchor" href="#amr-2119081"></a></h2>
<p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using <a href="https://msberends.github.io/AMR/#latest-development-version">the instructions here</a>.)</em></p>
<div class="section level5">
<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9080">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9080"></a></h5>
<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9081">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9081"></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’s Atlantic Veterinary College</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-2-1-1-9080">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9080"></a></h3>
<h3 id="breaking-2-1-1-9081">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9081"></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-2-1-1-9080">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9080"></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>
<h3 id="new-2-1-1-9081">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9081"></a></h3>
<ul><li>
<strong>One Health implementation</strong>
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now has extensive support for veterinary 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 CLSI VET09 guideline has been implemented to address cases where veterinary breakpoints are missing (only applies when <code>guideline</code> is set to CLSI)</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>
<li>The <code>antibiotics</code> data set contains all veterinary antibiotics, such as pradofloxacin and enrofloxacin. All WHOCC codes for veterinary use have been added as well.</li>
<li>
@ -74,34 +76,32 @@
<li>
<code><a href="../reference/ab_property.html">ab_url()</a></code> now supports retrieving the WHOCC url of their ATCvet pages</li>
</ul></li>
<li>Clinical breakpoints
<ul><li>EUCAST 2024 and CLSI 2024 are now supported, by adding all of their over 4,000 new clinical breakpoints to the <code>clinical_breakpoints</code> data set for usage in <code><a href="../reference/as.sir.html">as.sir()</a></code>. EUCAST 2024 is now the new default guideline for all MIC and disks diffusion interpretations.</li>
<li>
<strong>Major update to fungal taxonomy and tools for mycologists</strong>
<ul><li>MycoBank has now been integrated as the primary taxonomic source for fungi. The <code>microorganisms</code> data set has been enriched with new columns (<code>mycobank</code>, <code>mycobank_parent</code>, and <code>mycobank_renamed_to</code>) that provide detailed information for fungal species.</li>
<li>A remarkable addition of over 20,000 new fungal records</li>
<li>New function <code><a href="../reference/mo_property.html">mo_mycobank()</a></code> to retrieve the MycoBank record number, analogous to existing functions such as <code><a href="../reference/mo_property.html">mo_lpsn()</a></code> and <code><a href="../reference/mo_property.html">mo_gbif()</a></code>.</li>
<li>The <code><a href="../reference/as.mo.html">as.mo()</a></code> function and all <code>mo_*()</code> functions now includes an <code>only_fungi</code> argument, allowing users to restrict results solely to fungal species. This ensures fungi are prioritised over bacteria during microorganism identification. This can also be set globally with the new <code>AMR_only_fungi</code> option.</li>
<li>Also updated other kingdoms, welcoming a total of 2,149 new records from 2023 and 927 from 2024.</li>
</ul></li>
<li>
<strong>Updated clinical breakpoints</strong>
<ul><li>EUCAST 2024 and CLSI 2024 are now supported, by adding all of their over 4,000 new clinical breakpoints to the <code>clinical_breakpoints</code> data set for usage in <code><a href="../reference/as.sir.html">as.sir()</a></code>. EUCAST 2024 is now the new default guideline for all MIC and disk diffusion interpretations.</li>
<li>
<code><a href="../reference/as.sir.html">as.sir()</a></code> now brings additional factor levels: “NI” for non-interpretable and “SDD” for susceptible dose-dependent. Currently, the <code>clinical_breakpoints</code> data set contains 24 breakpoints that can return the value “SDD” instead of “I”.</li>
</ul></li>
<li>MIC plotting and transforming
<li>
<strong>New forms for MIC plotting and transforming</strong>
<ul><li>New 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>New 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>New function <code><a href="../reference/as.mic.html">rescale_mic()</a></code>, which allows users 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 independently to, for instance, compare equality in MIC distributions by rescaling them to the same range first.</li>
</ul></li>
<li>Microbiological taxonomy (<code>microorganisms</code> data set) updated to June 2024, with some exciting new features:
<ul><li>Added MycoBank as the primary taxonomic source for fungi
<ul><li>The <code>microorganisms</code> data set now contains additional columns <code>mycobank</code>, <code>mycobank_parent</code>, and <code>mycobank_renamed_to</code>
</li>
<li>New function <code><a href="../reference/mo_property.html">mo_mycobank()</a></code> to get the MycoBank record number, analogous to existing functions <code><a href="../reference/mo_property.html">mo_lpsn()</a></code> and <code><a href="../reference/mo_property.html">mo_gbif()</a></code>
</li>
</ul></li>
<li>We’ve welcomed over 2,000 records from 2023, over 900 from 2024, and many thousands of new fungi</li>
</ul></li>
<li>Improved support for mycologists:
<ul><li>The <code><a href="../reference/as.mo.html">as.mo()</a></code> function now includes a new argument, <code>only_fungi</code> (TRUE/FALSE), which limits the results to fungi only. Normally, bacteria are often prioritised by the algorithm, but setting <code>only_fungi = TRUE</code> ensures only fungi are returned.</li>
<li>You can also set this globally using the new R option <code>AMR_only_fungi</code>, e.g., <code>options(AMR_only_fungi = TRUE)</code>.</li>
</ul></li>
<li>Other
<ul><li>New 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>
<li>
<strong>Other</strong>
<ul><li>New 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 belong to that group.</li>
</ul></li>
</ul></div>
<div class="section level3">
<h3 id="changed-2-1-1-9080">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9080"></a></h3>
<h3 id="changed-2-1-1-9081">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9081"></a></h3>
<ul><li>SIR interpretation
<ul><li>It is now possible to use column names for argument <code>ab</code>, <code>mo</code>, and <code>uti</code>: <code>as.sir(..., ab = "column1", mo = "column2", uti = "column3")</code>. This greatly improves the flexibility for users.</li>
<li>Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and NI.</li>
@ -147,9 +147,16 @@
<li>Fixed a bug for when <code><a href="../reference/antibiogram.html">antibiogram()</a></code> returns an empty data set</li>
</ul></div>
<div class="section level3">
<h3 id="other-2-1-1-9080">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9080"></a></h3>
<h3 id="other-2-1-1-9081">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9081"></a></h3>
<ul><li>Greatly updated and expanded documentation</li>
<li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
<li>Stopped support for SAS (<code>.xpt</code>) files, since their file structure and extremely inefficient and requires more disk space than GitHub allows in a single commit.</li>
</ul></div>
<div class="section level3">
<h3 id="older-versions-2-1-1-9081">Older Versions<a class="anchor" aria-label="anchor" href="#older-versions-2-1-1-9081"></a></h3>
<p>This changelog only contains changes from AMR v3.0 (October 2024) and later.</p>
<ul><li>For prior v2 versions, please see <a href="https://github.com/msberends/AMR/blob/v2.1.1/NEWS.md" class="external-link">our v2 archive</a>.</li>
<li>For prior v1 versions, please see <a href="https://github.com/msberends/AMR/blob/v1.8.2/NEWS.md" class="external-link">our v1 archive</a>.</li>
</ul></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>

2
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@ -11,7 +11,7 @@ articles:
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
WHONET: WHONET.html
last_built: 2024-09-24T20:45Z
last_built: 2024-09-29T20:22Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles

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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -5,14 +5,14 @@ This work was published in the Journal of Statistical Software (Volume 104(3); d
) and formed the basis of two PhD theses (doi:10.33612/diss.177417131
and doi:10.33612/diss.192486375
).
After installing this package, R knows ~71 000 microorganisms (updated June 2024) and all ~600 antibiotic, antimycotic and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public University of Groningen, in collaboration with non-profit organisations Certe Medical Diagnostics and Advice Foundation and University Medical Center Groningen.
After installing this package, R knows ~79 000 microorganisms (updated June 2024) and all ~600 antibiotic, antimycotic and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public University of Groningen, in collaboration with non-profit organisations Certe Medical Diagnostics and Advice Foundation and University Medical Center Groningen.
The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:description" content="Welcome to the AMR package.
The AMR package is a free and open-source R package with zero dependencies to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. Our aim is to provide a standard for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. Many different researchers from around the globe are continually helping us to make this a successful and durable project!
This work was published in the Journal of Statistical Software (Volume 104(3); doi:10.18637/jss.v104.i03
) and formed the basis of two PhD theses (doi:10.33612/diss.177417131
and doi:10.33612/diss.192486375
).
After installing this package, R knows ~71 000 microorganisms (updated June 2024) and all ~600 antibiotic, antimycotic and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public University of Groningen, in collaboration with non-profit organisations Certe Medical Diagnostics and Advice Foundation and University Medical Center Groningen.
After installing this package, R knows ~79 000 microorganisms (updated June 2024) and all ~600 antibiotic, antimycotic and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public University of Groningen, in collaboration with non-profit organisations Certe Medical Diagnostics and Advice Foundation and University Medical Center Groningen.
The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:image" content="https://msberends.github.io/AMR/logo.svg"></head><body>
<a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@ -21,7 +21,7 @@ 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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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@ -74,7 +74,7 @@ The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish,
) and formed the basis of two PhD theses (<a href="https://doi.org/10.33612/diss.177417131" class="external-link">doi:10.33612/diss.177417131</a>
and <a href="https://doi.org/10.33612/diss.192486375" class="external-link">doi:10.33612/diss.192486375</a>
).</p>
<p>After installing this package, R knows <a href="https://msberends.github.io/AMR/reference/microorganisms.html"><strong>~71 000 microorganisms</strong></a> (updated June 2024) and all <a href="https://msberends.github.io/AMR/reference/antibiotics.html"><strong>~600 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public <a href="https://www.rug.nl" class="external-link">University of Groningen</a>, in collaboration with non-profit organisations <a href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<p>After installing this package, R knows <a href="https://msberends.github.io/AMR/reference/microorganisms.html"><strong>~79 000 microorganisms</strong></a> (updated June 2024) and all <a href="https://msberends.github.io/AMR/reference/antibiotics.html"><strong>~600 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public <a href="https://www.rug.nl" class="external-link">University of Groningen</a>, in collaboration with non-profit organisations <a href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<p>The <code>AMR</code> package is available in English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages.</p>
</div>
@ -102,7 +102,7 @@ The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish,
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@ -117,6 +117,7 @@ The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish,
<p>Authors:</p><ul><li><p>Dennis Souverein (<a href="https://orcid.org/0000-0003-0455-0336" class="external-link">ORCID</a>) [contributor]</p></li>
<li><p>Erwin E. A. Hassing [contributor]</p></li>
</ul><p>Other contributors:</p><ul><li><p>Casper J. Albers (<a href="https://orcid.org/0000-0002-9213-6743" class="external-link">ORCID</a>) [thesis advisor]</p></li>
<li><p>Larisse Bolton (<a href="https://orcid.org/0000-0001-7879-2173" class="external-link">ORCID</a>) [contributor]</p></li>
<li><p>Peter Dutey-Magni (<a href="https://orcid.org/0000-0002-8942-9836" class="external-link">ORCID</a>) [contributor]</p></li>
<li><p>Judith M. Fonville [contributor]</p></li>
<li><p>Alex W. Friedrich (<a href="https://orcid.org/0000-0003-4881-038X" class="external-link">ORCID</a>) [thesis advisor]</p></li>

2
reference/WHOCC.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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4
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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@ -93,7 +93,7 @@
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">

2
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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4
reference/ab_property.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -166,7 +166,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>

2
reference/add_custom_antimicrobials.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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5
reference/add_custom_microorganisms.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -139,6 +139,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> $mo</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "CUSTOM1_ENTRB_ASB/"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $rank</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "species"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $kingdom</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Bacteria"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>

22
reference/age.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -116,16 +116,16 @@
<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 58.80328 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.56557 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.89617 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.60929 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.59563 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.70492 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 27 27.07650 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.66120 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 52 52.27049 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 38 38.12295 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.81694 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.57923 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.90984 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.62295 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.60929 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.71858 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 27 27.09016 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.67486 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 52 52.28415 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 38 38.13661 13</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>

2
reference/age_groups.html
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@ -7,7 +7,7 @@
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4
reference/antibiogram.html
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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -153,7 +153,7 @@
<dt id="arg-combine-si">combine_SI<a class="anchor" aria-label="anchor" href="#arg-combine-si"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all susceptibility should be determined by results of either S or I, instead of only S (default is <code>TRUE</code>)</p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all susceptibility should be determined by results of either S, SDD, or I, instead of only S (default is <code>TRUE</code>)</p></dd>
<dt id="arg-sep">sep<a class="anchor" aria-label="anchor" href="#arg-sep"></a></dt>

8
reference/antibiotic_class_selectors.html
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@ -9,7 +9,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
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@ -185,9 +185,9 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
<li><p><code>aminopenicillins()</code> can select: <br> amoxicillin (AMX) and ampicillin (AMP)</p></li>
<li><p><code>antifungals()</code> can select: <br> amorolfine (AMO), amphotericin B (AMB), amphotericin B-high (AMH), anidulafungin (ANI), butoconazole (BUT), caspofungin (CAS), ciclopirox (CIX), clotrimazole (CTR), econazole (ECO), fluconazole (FLU), flucytosine (FCT), fosfluconazole (FFL), griseofulvin (GRI), hachimycin (HCH), ibrexafungerp (IBX), isavuconazole (ISV), isoconazole (ISO), itraconazole (ITR), ketoconazole (KET), manogepix (MGX), micafungin (MIF), miconazole (MCZ), nystatin (NYS), oteseconazole (OTE), pimaricin (PMR), posaconazole (POS), rezafungin (RZF), ribociclib (RBC), sulconazole (SUC), terbinafine (TRB), terconazole (TRC), and voriconazole (VOR)</p></li>
<li><p><code>antimycobacterials()</code> can select: <br> 4-aminosalicylic acid (AMA), calcium aminosalicylate (CLA), capreomycin (CAP), clofazimine (CLF), delamanid (DLM), enviomycin (ENV), ethambutol (ETH), ethambutol/isoniazid (ETI), ethionamide (ETI1), isoniazid (INH), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), morinamide (MRN), p-aminosalicylic acid (PAS), pretomanid (PMD), protionamide (PTH), pyrazinamide (PZA), rifabutin (RIB), rifampicin (RIF), rifampicin/ethambutol/isoniazid (REI), rifampicin/isoniazid (RFI), rifampicin/pyrazinamide/ethambutol/isoniazid (RPEI), rifampicin/pyrazinamide/isoniazid (RPI), rifamycin (RFM), rifapentine (RFP), simvastatin/fenofibrate (SMF), sodium aminosalicylate (SDA), streptomycin/isoniazid (STI), terizidone (TRZ), thioacetazone (TAT), thioacetazone/isoniazid (THI1), tiocarlide (TCR), and viomycin (VIO)</p></li>
<li><p><code>betalactams()</code> can select: <br> amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), biapenem (BIA), carbenicillin (CRB), carindacillin (CRN), cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/nacubactam (FNC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), doripenem (DOR), epicillin (EPC), ertapenem (ETP), flucloxacillin (FLC), hetacillin (HET), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), latamoxef (LTM), lenampicillin (LEN), loracarbef (LOR), mecillinam (MEC), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), panipenem (PAN), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), tebipenem (TBP), temocillin (TEM), ticarcillin (TIC), and ticarcillin/clavulanic acid (TCC)</p></li>
<li><p><code>betalactams()</code> can select: <br> amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), biapenem (BIA), carbenicillin (CRB), carindacillin (CRN), cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/nacubactam (FNC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefiderocol (FDC), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), doripenem (DOR), epicillin (EPC), ertapenem (ETP), flucloxacillin (FLC), hetacillin (HET), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), latamoxef (LTM), lenampicillin (LEN), loracarbef (LOR), mecillinam (MEC), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), panipenem (PAN), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), tebipenem (TBP), temocillin (TEM), ticarcillin (TIC), and ticarcillin/clavulanic acid (TCC)</p></li>
<li><p><code>carbapenems()</code> can select: <br> biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), and tebipenem (TBP)</p></li>
<li><p><code>cephalosporins()</code> can select: <br> cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), latamoxef (LTM), and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins()</code> can select: <br> cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefiderocol (FDC), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), latamoxef (LTM), and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins_1st()</code> can select: <br> cefacetrile (CAC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefroxadine (CRD), ceftezole (CTL), and cephradine (CED)</p></li>
<li><p><code>cephalosporins_2nd()</code> can select: <br> cefaclor (CEC), cefamandole (MAN), cefmetazole (CMZ), cefonicid (CID), ceforanide (CND), cefotetan (CTT), cefotiam (CTF), cefoxitin (FOX), cefoxitin screening (FOX1), cefprozil (CPR), cefuroxime (CXM), cefuroxime axetil (CXA), and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins_3rd()</code> can select: <br> cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefetamet (CAT), cefetamet pivoxil (CPI), cefixime (CFM), cefmenoxime (CMX), cefodizime (DIZ), cefoperazone (CFP), cefoperazone/sulbactam (CSL), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotiam hexetil (CHE), cefovecin (FOV), cefpimizole (CFZ), cefpiramide (CPM), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefsulodin (CFS), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), and latamoxef (LTM)</p></li>
@ -213,7 +213,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">

4
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -118,7 +118,7 @@
<h3 id="direct-download">Direct download<a class="anchor" aria-label="anchor" href="#direct-download"></a></h3>
<p>Like all data sets in this package, these data sets are publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, these data sets are publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
</div>

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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -119,7 +119,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>

4
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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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -118,7 +118,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>

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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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -138,7 +138,7 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'sir'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &lt;NA&gt;</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># interpret whole data set, pretend to be all from urinary tract infections:</span></span></span>
<span class="r-in"><span><span class="fu"><a href="as.sir.html">as.sir</a></span><span class="op">(</span><span class="va">df</span>, uti <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>

2
reference/as.mic.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">

10
reference/as.mo.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -246,7 +246,7 @@
</ul><p>Furthermore,</p><ul><li><p>Any genus present in the <strong>established</strong> list also has <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any other genus present in the <strong>putative</strong> list has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any other species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 1.5</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arthroderma</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Chrysosporium</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Geotrichum</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hansenula</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Kloeckera</em>, <em>Kluyveromyces</em>, <em>Kodamaea</em>, <em>Leishmania</em>, <em>Lichtheimia</em>, <em>Lodderomyces</em>, <em>Lomentospora</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Millerozyma</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Paecilomyces</em>, <em>Pediculus</em>, <em>Penicillium</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoscopulariopsis</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Saprochaete</em>, <em>Sarcoptes</em>, <em>Scedosporium</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Sporotrichum</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Talaromyces</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Verticillium</em>, or <em>Wuchereria</em>;</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Actinomucor</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arthroderma</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bipolaris</em>, <em>Blastobotrys</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chilomastix</em>, <em>Chrysonilia</em>, <em>Chrysosporium</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Clavispora</em>, <em>Coccidioides</em>, <em>Cokeromyces</em>, <em>Conidiobolus</em>, <em>Coniochaeta</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Cryptosporidium</em>, <em>Cunninghamella</em>, <em>Curvularia</em>, <em>Cyberlindnera</em>, <em>Debaryozyma</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Epidermophyton</em>, <em>Exidia</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Geotrichum</em>, <em>Giardia</em>, <em>Graphium</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hansenula</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hortaea</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Kloeckera</em>, <em>Kluyveromyces</em>, <em>Kodamaea</em>, <em>Lacazia</em>, <em>Leishmania</em>, <em>Lichtheimia</em>, <em>Lodderomyces</em>, <em>Lomentospora</em>, <em>Madurella</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Millerozyma</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Nannizzia</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Paecilomyces</em>, <em>Paracoccidioides</em>, <em>Pediculus</em>, <em>Penicillium</em>, <em>Phaeoacremonium</em>, <em>Phaeomoniella</em>, <em>Phialophora</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoscopulariopsis</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Purpureocillium</em>, <em>Quambalaria</em>, <em>Rhinocladiella</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Saksenaea</em>, <em>Saprochaete</em>, <em>Sarcoptes</em>, <em>Scedosporium</em>, <em>Schistosoma</em>, <em>Schizosaccharomyces</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Sporopachydermia</em>, <em>Sporothrix</em>, <em>Sporotrichum</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syncephalastrum</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Talaromyces</em>, <em>Teleomorph</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ulocladium</em>, <em>Ustilago</em>, <em>Verticillium</em>, <em>Wallemia</em>, <em>Wangiella</em>, <em>Wickerhamomyces</em>, <em>Wuchereria</em>, <em>Yarrowia</em>, or <em>Zygosaccharomyces</em>;</p></li>
<li><p>All other records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.381\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
@ -255,7 +255,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@ -282,8 +282,8 @@
<span class="r-in"><span> <span class="fl">115329001</span> <span class="co"># SNOMED CT code</span></span></span>
<span class="r-in"><span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [6] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_STPHY_AURS B_SMYCS_AURS B_SMYCS_AURS B_STPHY_AURS B_SMYCS_AURS</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [6] B_SMYCS_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] B_STPHY_AURS B_STPHY_AURS</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Dyslexia is no problem - these all work:</span></span></span>

26
reference/as.sir.html
View File

@ -21,7 +21,7 @@ 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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -331,7 +331,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@ -791,16 +791,16 @@ 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: 57 × 16</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_given mo_given host_given ab mo </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-09-24 <span style="color: #949494;">20:46:27</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-09-24 <span style="color: #949494;">20:46:34</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-09-24 <span style="color: #949494;">20:46:34</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-09-24 <span style="color: #949494;">20:46:35</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-09-24 <span style="color: #949494;">20:46:35</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-09-24 <span style="color: #949494;">20:46:27</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-09-24 <span style="color: #949494;">20:46:34</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-09-24 <span style="color: #949494;">20:46:34</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-09-24 <span style="color: #949494;">20:46:35</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-09-24 <span style="color: #949494;">20:46:35</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-09-29 <span style="color: #949494;">20:23:11</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-09-29 <span style="color: #949494;">20:23:18</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-09-29 <span style="color: #949494;">20:23:18</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-09-29 <span style="color: #949494;">20:23:19</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-09-29 <span style="color: #949494;">20:23:19</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-09-29 <span style="color: #949494;">20:23:11</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-09-29 <span style="color: #949494;">20:23:18</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-09-29 <span style="color: #949494;">20:23:18</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-09-29 <span style="color: #949494;">20:23:19</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-09-29 <span style="color: #949494;">20:23:19</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 47 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 9 more variables: host &lt;chr&gt;, method &lt;chr&gt;, input &lt;dbl&gt;, outcome &lt;sir&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span>
@ -834,7 +834,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'sir'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &lt;NA&gt;</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># For CLEANING existing SIR values ------------------------------------</span></span></span>

2
reference/atc_online.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">

2
reference/av_from_text.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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
reference/av_property.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -140,7 +140,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>

2
reference/availability.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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
reference/bug_drug_combinations.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -109,7 +109,7 @@
<dt id="arg-combine-si">combine_SI<a class="anchor" aria-label="anchor" href="#arg-combine-si"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether values S and I should be summed, so resistance will be based on only R - the default is <code>TRUE</code></p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether values S, SDD, and I should be summed, so resistance will be based on only R - the default is <code>TRUE</code></p></dd>
<dt id="arg-add-ab-group">add_ab_group<a class="anchor" aria-label="anchor" href="#arg-add-ab-group"></a></dt>

4
reference/clinical_breakpoints.html
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@ -21,7 +21,7 @@ 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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -126,7 +126,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<h3 id="download">Download<a class="anchor" aria-label="anchor" href="#download"></a></h3>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>. They allow for machine reading EUCAST and CLSI guidelines, which is almost impossible with the MS Excel and PDF files distributed by EUCAST and CLSI, though initiatives have started to overcome these burdens.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>. They allow for machine reading EUCAST and CLSI guidelines, which is almost impossible with the MS Excel and PDF files distributed by EUCAST and CLSI, though initiatives have started to overcome these burdens.</p>
<p><strong>NOTE:</strong> this <code>AMR</code> package (and the WHONET software as well) contains rather complex internal methods to apply the guidelines. For example, some breakpoints must be applied on certain species groups (which are in case of this package available through the <a href="microorganisms.groups.html">microorganisms.groups</a> data set). It is important that this is considered when using the breakpoints for own use.</p>
</div>

4
reference/count.html
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@ -9,7 +9,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -113,7 +113,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
<dt id="arg-combine-si">combine_SI<a class="anchor" aria-label="anchor" href="#arg-combine-si"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S and I must be merged into one, so the output only consists of S+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S, SDD, and I must be merged into one, so the output only consists of S+SDD+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
</dl></div>
<div class="section level2">

8
reference/custom_eucast_rules.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -144,15 +144,15 @@
<li><p>aminopenicillins<br>(amoxicillin and ampicillin)</p></li>
<li><p>antifungals<br>(amorolfine, amphotericin B, amphotericin B-high, anidulafungin, butoconazole, caspofungin, ciclopirox, clotrimazole, econazole, fluconazole, flucytosine, fosfluconazole, griseofulvin, hachimycin, ibrexafungerp, isavuconazole, isoconazole, itraconazole, ketoconazole, manogepix, micafungin, miconazole, nystatin, oteseconazole, pimaricin, posaconazole, rezafungin, ribociclib, sulconazole, terbinafine, terconazole, and voriconazole)</p></li>
<li><p>antimycobacterials<br>(4-aminosalicylic acid, calcium aminosalicylate, capreomycin, clofazimine, delamanid, enviomycin, ethambutol, ethambutol/isoniazid, ethionamide, isoniazid, isoniazid/sulfamethoxazole/trimethoprim/pyridoxine, morinamide, p-aminosalicylic acid, pretomanid, protionamide, pyrazinamide, rifabutin, rifampicin, rifampicin/ethambutol/isoniazid, rifampicin/isoniazid, rifampicin/pyrazinamide/ethambutol/isoniazid, rifampicin/pyrazinamide/isoniazid, rifamycin, rifapentine, simvastatin/fenofibrate, sodium aminosalicylate, streptomycin/isoniazid, terizidone, thioacetazone, thioacetazone/isoniazid, tiocarlide, and viomycin)</p></li>
<li><p>betalactams<br>(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, biapenem, carbenicillin, carindacillin, cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/nacubactam, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, ciclacillin, clometocillin, cloxacillin, dicloxacillin, doripenem, epicillin, ertapenem, flucloxacillin, hetacillin, imipenem, imipenem/EDTA, imipenem/relebactam, latamoxef, lenampicillin, loracarbef, mecillinam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, panipenem, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, razupenem, ritipenem, ritipenem acoxil, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, tebipenem, temocillin, ticarcillin, and ticarcillin/clavulanic acid)</p></li>
<li><p>betalactams<br>(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, biapenem, carbenicillin, carindacillin, cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/nacubactam, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefiderocol, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, ciclacillin, clometocillin, cloxacillin, dicloxacillin, doripenem, epicillin, ertapenem, flucloxacillin, hetacillin, imipenem, imipenem/EDTA, imipenem/relebactam, latamoxef, lenampicillin, loracarbef, mecillinam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, panipenem, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, razupenem, ritipenem, ritipenem acoxil, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, tebipenem, temocillin, ticarcillin, and ticarcillin/clavulanic acid)</p></li>
<li><p>carbapenems<br>(biapenem, doripenem, ertapenem, imipenem, imipenem/EDTA, imipenem/relebactam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, panipenem, razupenem, ritipenem, ritipenem acoxil, and tebipenem)</p></li>
<li><p>cephalosporins<br>(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, and loracarbef)</p></li>
<li><p>cephalosporins<br>(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefiderocol, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, and loracarbef)</p></li>
<li><p>cephalosporins_1st<br>(cefacetrile, cefadroxil, cefalexin, cefaloridine, cefalotin, cefapirin, cefatrizine, cefazedone, cefazolin, cefroxadine, ceftezole, and cephradine)</p></li>
<li><p>cephalosporins_2nd<br>(cefaclor, cefamandole, cefmetazole, cefonicid, ceforanide, cefotetan, cefotiam, cefoxitin, cefoxitin screening, cefprozil, cefuroxime, cefuroxime axetil, and loracarbef)</p></li>
<li><p>cephalosporins_3rd<br>(cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefetamet, cefetamet pivoxil, cefixime, cefmenoxime, cefodizime, cefoperazone, cefoperazone/sulbactam, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotiam hexetil, cefovecin, cefpimizole, cefpiramide, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefsulodin, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, and latamoxef)</p></li>
<li><p>cephalosporins_4th<br>(cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetecol, cefoselis, cefozopran, cefpirome, and cefquinome)</p></li>
<li><p>cephalosporins_5th<br>(ceftaroline, ceftaroline/avibactam, ceftobiprole, ceftobiprole medocaril, and ceftolozane/tazobactam)</p></li>
<li><p>cephalosporins_except_caz<br>(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, and loracarbef)</p></li>
<li><p>cephalosporins_except_caz<br>(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefiderocol, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, and loracarbef)</p></li>
<li><p>fluoroquinolones<br>(besifloxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nifuroquine, norfloxacin, ofloxacin, orbifloxacin, pazufloxacin, pefloxacin, pradofloxacin, premafloxacin, prulifloxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, and trovafloxacin)</p></li>
<li><p>glycopeptides<br>(avoparcin, dalbavancin, norvancomycin, oritavancin, ramoplanin, teicoplanin, teicoplanin-macromethod, telavancin, vancomycin, and vancomycin-macromethod)</p></li>
<li><p>glycopeptides_except_lipo<br>(avoparcin, norvancomycin, ramoplanin, teicoplanin, teicoplanin-macromethod, vancomycin, and vancomycin-macromethod)</p></li>

4
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
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<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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@ -153,7 +153,7 @@
<dt id="arg-combine-si">combine_SI<a class="anchor" aria-label="anchor" href="#arg-combine-si"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S and I must be merged into one, so the output only consists of S+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S, SDD, and I must be merged into one, so the output only consists of S+SDD+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
<dt id="arg-minimum">minimum<a class="anchor" aria-label="anchor" href="#arg-minimum"></a></dt>

2
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9080</small>
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4
reference/index.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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@ -359,7 +359,7 @@
<code><a href="microorganisms.html">microorganisms</a></code>
</dt>
<dd>Data Set with 70 547 Taxonomic Records of Microorganisms</dd>
<dd>Data Set with 78 678 Taxonomic Records of Microorganisms</dd>
</dl><dl><dt>
<code><a href="antibiotics.html">antibiotics</a></code> <code><a href="antibiotics.html">antivirals</a></code>

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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
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@ -64,7 +64,7 @@
<div class="section level2">
<h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a></h2>
<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 340 804 observations and 2 variables:</p><ul><li><p><code>mo</code><br> Microorganism ID</p></li>
<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 301 583 observations and 2 variables:</p><ul><li><p><code>mo</code><br> Microorganism ID</p></li>
<li><p><code>ab</code><br> Antibiotic ID</p></li>
</ul></div>
<div class="section level2">
@ -73,7 +73,7 @@
<h3 id="direct-download">Direct download<a class="anchor" aria-label="anchor" href="#direct-download"></a></h3>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>They <strong>allow for machine reading EUCAST and CLSI guidelines</strong>, which is almost impossible with the MS Excel and PDF files distributed by EUCAST and CLSI.</p>
</div>
@ -82,7 +82,7 @@
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">intrinsic_resistant</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 340,804 × 2</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 301,583 × 2</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo ab </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> B_GRAMP ATM </span>
@ -95,7 +95,7 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> B_ANAER-POS NAL </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> B_ANAER-POS PLB </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> B_ANAER-POS TEM </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 340,794 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 301,573 more rows</span></span>
</code></pre></div>
</div>
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<dt id="arg-combine-si">combine_SI<a class="anchor" aria-label="anchor" href="#arg-combine-si"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S and I must be merged into one, so the input only consists of S+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S, SDD, and I must be merged into one, so the input only consists of S+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
<dt id="arg-amr-distance">amr_distance<a class="anchor" aria-label="anchor" href="#arg-amr-distance"></a></dt>

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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -69,7 +69,7 @@
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@ -106,6 +106,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> $mo</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "B_ESCHR_COLI"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $rank</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "species"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $kingdom</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Bacteria"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>

10
reference/microorganisms.groups.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -71,7 +71,7 @@
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@ -86,14 +86,14 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&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>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> B_ACNTB_BMNN-C B_ACNTB_BMNN Acinetobacter baumannii complex Acinetobacter ba…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> B_ACNTB_BMNN-C B_ACNTB_CLCC Acinetobacter baumannii complex Acinetobacter ca…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> B_ACNTB_BMNN-C B_ACNTB_DJKS Acinetobacter baumannii complex Acinetobacter di…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> B_ACNTB_BMNN-C B_ACNTB_LCTC Acinetobacter baumannii complex Acinetobacter di…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> B_ACNTB_BMNN-C B_ACNTB_NSCM Acinetobacter baumannii complex Acinetobacter no…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B_ACNTB_BMNN-C B_ACNTB_PITT Acinetobacter baumannii complex Acinetobacter pi…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> B_ACNTB_BMNN-C B_ACNTB_SFRT Acinetobacter baumannii complex Acinetobacter se…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> B_BCTRD_FRGL-C B_BCTRD_FRGL Bacteroides fragilis complex Bacteroides frag…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> B_BCTRD_FRGL-C B_BCTRD_OVTS Bacteroides fragilis complex Bacteroides ovat…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> B_BCTRD_FRGL-C B_BCTRD_THTT Bacteroides fragilis complex Bacteroides thet…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> B_BCTRD_FRGL-C B_BCTRD_VLGT Bacteroides fragilis complex Bacteroides vulg…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> B_BCTRD_FRGL-C B_PHCCL_VLGT Bacteroides fragilis complex Bacteroides vulg…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 511 more rows</span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># these are all species in the Bacteroides fragilis group, as per WHONET:</span></span></span>
@ -104,7 +104,7 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> B_BCTRD_FRGL-C B_BCTRD_FRGL Bacteroides fragilis complex Bacteroides fragilis </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> B_BCTRD_FRGL-C B_BCTRD_OVTS Bacteroides fragilis complex Bacteroides ovatus </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> B_BCTRD_FRGL-C B_BCTRD_THTT Bacteroides fragilis complex Bacteroides thetaiot…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> B_BCTRD_FRGL-C B_BCTRD_VLGT Bacteroides fragilis complex Bacteroides vulgatus </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> B_BCTRD_FRGL-C B_PHCCL_VLGT Bacteroides fragilis complex Bacteroides vulgatus </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> B_BCTRD_FRGL-C B_PRBCT_DSTS Bacteroides fragilis complex Parabacteroides dist…</span>
</code></pre></div>
</div>

52
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@ -1,5 +1,5 @@
<!DOCTYPE html>
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data Set with 70 547 Taxonomic Records of Microorganisms — microorganisms • AMR (for R)</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Lato-0.4.9/font.css" rel="stylesheet"><link href="../deps/Fira_Code-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><script src="../extra.js"></script><meta property="og:title" content="Data Set with 70 547 Taxonomic Records of Microorganisms — microorganisms"><meta name="description" content="A data set containing the full microbial taxonomy (last updated: June 24th, 2024) of six kingdoms. This data set is the backbone of this AMR package. MO codes can be looked up using as.mo() and microorganism properties can be looked up using any of the mo_* functions.
<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data Set with 78 678 Taxonomic Records of Microorganisms — microorganisms • AMR (for R)</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Lato-0.4.9/font.css" rel="stylesheet"><link href="../deps/Fira_Code-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><script src="../extra.js"></script><meta property="og:title" content="Data Set with 78 678 Taxonomic Records of Microorganisms — microorganisms"><meta name="description" content="A data set containing the full microbial taxonomy (last updated: June 24th, 2024) of six kingdoms. This data set is the backbone of this AMR package. MO codes can be looked up using as.mo() and microorganism properties can be looked up using any of the mo_* functions.
This data set is carefully crafted, yet made 100% reproducible from public and authoritative taxonomic sources (using this script), namely: List of Prokaryotic names with Standing in Nomenclature (LPSN) for bacteria, MycoBank for fungi, and Global Biodiversity Information Facility (GBIF) for all others taxons."><meta property="og:description" content="A data set containing the full microbial taxonomy (last updated: June 24th, 2024) of six kingdoms. This data set is the backbone of this AMR package. MO codes can be looked up using as.mo() and microorganism properties can be looked up using any of the mo_* functions.
This data set is carefully crafted, yet made 100% reproducible from public and authoritative taxonomic sources (using this script), namely: List of Prokaryotic names with Standing in Nomenclature (LPSN) for bacteria, MycoBank for fungi, and Global Biodiversity Information Facility (GBIF) for all others taxons."><meta property="og:image" content="https://msberends.github.io/AMR/logo.svg"></head><body>
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@ -9,7 +9,7 @@ This data set is carefully crafted, yet made 100% reproducible from public and a
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -50,7 +50,7 @@ This data set is carefully crafted, yet made 100% reproducible from public and a
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<img src="../logo.svg" class="logo" alt=""><h1>Data Set with 70 547 Taxonomic Records of Microorganisms</h1>
<img src="../logo.svg" class="logo" alt=""><h1>Data Set with 78 678 Taxonomic Records of Microorganisms</h1>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/R/data.R" class="external-link"><code>R/data.R</code></a></small>
<div class="d-none name"><code>microorganisms.Rd</code></div>
</div>
@ -67,7 +67,7 @@ This data set is carefully crafted, yet made 100% reproducible from public and a
<div class="section level2">
<h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a></h2>
<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 70 547 observations and 26 variables:</p><ul><li><p><code>mo</code><br> ID of microorganism as used by this package. <em><strong>This is a unique identifier.</strong></em></p></li>
<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 78 678 observations and 26 variables:</p><ul><li><p><code>mo</code><br> ID of microorganism as used by this package. <em><strong>This is a unique identifier.</strong></em></p></li>
<li><p><code>fullname</code><br> Full name, like <code>"Escherichia coli"</code>. For the taxonomic ranks genus, species and subspecies, this is the 'pasted' text of genus, species, and subspecies. For all taxonomic ranks higher than genus, this is the name of the taxon. <em><strong>This is a unique identifier.</strong></em></p></li>
<li><p><code>status</code> <br> Status of the taxon, either "accepted", "not validly published", "synonym", or "unknown"</p></li>
<li><p><code>kingdom</code>, <code>phylum</code>, <code>class</code>, <code>order</code>, <code>family</code>, <code>genus</code>, <code>species</code>, <code>subspecies</code><br> Taxonomic rank of the microorganism. Note that for fungi, <em>phylum</em> is equal to their taxonomic <em>division</em>. Also, for fungi, <em>subkingdom</em> and <em>subdivision</em> were left out since they do not occur in the bacterial taxonomy.</p></li>
@ -75,13 +75,13 @@ This data set is carefully crafted, yet made 100% reproducible from public and a
<li><p><code>ref</code><br> Author(s) and year of related scientific publication. This contains only the <em>first surname</em> and year of the <em>latest</em> authors, e.g. "Wallis <em>et al.</em> 2006 <em>emend.</em> Smith and Jones 2018" becomes "Smith <em>et al.</em>, 2018". This field is directly retrieved from the source specified in the column <code>source</code>. Moreover, accents were removed to comply with CRAN that only allows ASCII characters.</p></li>
<li><p><code>oxygen_tolerance</code> <br> Oxygen tolerance, either "aerobe", "anaerobe", "anaerobe/microaerophile", "facultative anaerobe", "likely facultative anaerobe", or "microaerophile". These data were retrieved from BacDive (see <em>Source</em>). Items that contain "likely" are missing from BacDive and were extrapolated from other species within the same genus to guess the oxygen tolerance. Currently 68.3% of all ~39 000 bacteria in the data set contain an oxygen tolerance.</p></li>
<li><p><code>source</code><br> Either "GBIF", "LPSN", "MycoBank", or "manually added" (see <em>Source</em>)</p></li>
<li><p><code>lpsn</code><br> Identifier ('Record number') of List of Prokaryotic names with Standing in Nomenclature (LPSN). This will be the first/highest LPSN identifier to keep one identifier per row. For example, <em>Acetobacter ascendens</em> has LPSN Record number 7864 and 11011. Only the first is available in the <code>microorganisms</code> data set. <em><strong>This is a unique identifier</strong></em>, though available for only ~32 000 records.</p></li>
<li><p><code>lpsn</code><br> Identifier ('Record number') of List of Prokaryotic names with Standing in Nomenclature (LPSN). This will be the first/highest LPSN identifier to keep one identifier per row. For example, <em>Acetobacter ascendens</em> has LPSN Record number 7864 and 11011. Only the first is available in the <code>microorganisms</code> data set. <em><strong>This is a unique identifier</strong></em>, though available for only ~33 000 records.</p></li>
<li><p><code>lpsn_parent</code><br> LPSN identifier of the parent taxon</p></li>
<li><p><code>lpsn_renamed_to</code><br> LPSN identifier of the currently valid taxon</p></li>
<li><p><code>mycobank</code><br> Identifier ('MycoBank #') of MycoBank. <em><strong>This is a unique identifier</strong></em>, though available for only ~15 000 records.</p></li>
<li><p><code>mycobank</code><br> Identifier ('MycoBank #') of MycoBank. <em><strong>This is a unique identifier</strong></em>, though available for only ~18 000 records.</p></li>
<li><p><code>mycobank_parent</code><br> MycoBank identifier of the parent taxon</p></li>
<li><p><code>mycobank_renamed_to</code><br> MycoBank identifier of the currently valid taxon</p></li>
<li><p><code>gbif</code><br> Identifier ('taxonID') of Global Biodiversity Information Facility (GBIF). <em><strong>This is a unique identifier</strong></em>, though available for only ~46 000 records.</p></li>
<li><p><code>gbif</code><br> Identifier ('taxonID') of Global Biodiversity Information Facility (GBIF). <em><strong>This is a unique identifier</strong></em>, though available for only ~49 000 records.</p></li>
<li><p><code>gbif_parent</code><br> GBIF identifier of the parent taxon</p></li>
<li><p><code>gbif_renamed_to</code><br> GBIF identifier of the currently valid taxon</p></li>
<li><p><code>prevalence</code><br> Prevalence of the microorganism based on Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
@ -119,10 +119,10 @@ Public Health Information Network Vocabulary Access and Distribution System (PHI
<p>Included taxonomic data from <a href="https://lpsn.dsmz.de" class="external-link">LPSN</a>, <a href="https://www.mycobank.org" class="external-link">MycoBank</a>, and <a href="https://www.gbif.org" class="external-link">GBIF</a> are:</p><ul><li><p>All ~39 000 (sub)species from the kingdoms of Archaea and Bacteria</p></li>
<li><p>~20 000 species from the kingdom of Fungi. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package. Only relevant fungi are covered (such as all species of <em>Aspergillus</em>, <em>Candida</em>, <em>Cryptococcus</em>, <em>Histoplasma</em>, <em>Pneumocystis</em>, <em>Saccharomyces</em> and <em>Trichophyton</em>).</p></li>
<li><p>~28 000 species from the kingdom of Fungi. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package. Only relevant fungi are covered (such as all species of <em>Aspergillus</em>, <em>Candida</em>, <em>Cryptococcus</em>, <em>Histoplasma</em>, <em>Pneumocystis</em>, <em>Saccharomyces</em> and <em>Trichophyton</em>).</p></li>
<li><p>~8 100 (sub)species from the kingdom of Protozoa</p></li>
<li><p>~1 700 (sub)species from 45 other relevant genera from the kingdom of Animalia (such as <em>Strongyloides</em> and <em>Taenia</em>)</p></li>
<li><p>All ~17 000 previously accepted names of all included (sub)species (these were taxonomically renamed)</p></li>
<li><p>~1 600 (sub)species from 39 other relevant genera from the kingdom of Animalia (such as <em>Strongyloides</em> and <em>Taenia</em>)</p></li>
<li><p>All ~22 000 previously accepted names of all included (sub)species (these were taxonomically renamed)</p></li>
<li><p>The complete taxonomic tree of all included (sub)species: from kingdom to subspecies</p></li>
<li><p>The identifier of the parent taxons</p></li>
<li><p>The year and first author of the related scientific publication</p></li>
@ -142,7 +142,7 @@ Public Health Information Network Vocabulary Access and Distribution System (PHI
<h3 id="direct-download">Direct download<a class="anchor" aria-label="anchor" href="#direct-download"></a></h3>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
</div>
@ -154,21 +154,21 @@ Public Health Information Network Vocabulary Access and Distribution System (PHI
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">microorganisms</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 70,547 × 26</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo fullname status kingdom phylum class order family genus</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> B_GRAMN (unknown Gra… unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> B_GRAMP (unknown Gra… unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> B_ANAER-NEG (unknown ana… unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> B_ANAER-POS (unknown ana… unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B_ANAER (unknown ana… unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> F_FUNGUS (unknown fun… unkno… Fungi (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> UNKNOWN (unknown nam… unkno… (unkno… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> F_YEAST (unknown yea… unkno… Fungi (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… <span style="color: #949494;">"</span>(un…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> F_AABRN Aabaarnia unkno… Fungi Ascom… Leca… Ostr… <span style="color: #949494;">""</span> <span style="color: #949494;">"</span>Aab…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> B_[FAM]_ABDTBCTR Abditibacter… accep… Bacter… Abdit… Abdi… Abdi… <span style="color: #949494;">"</span>Abdi… <span style="color: #949494;">""</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 70,537 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 17 more variables: species &lt;chr&gt;, subspecies &lt;chr&gt;, rank &lt;chr&gt;, ref &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 78,678 × 26</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo fullname status kingdom phylum class order family genus species</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> B_GRAMN (unknown … unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> B_GRAMP (unknown … unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> B_ANAER-NEG (unknown … unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> B_ANAER-POS (unknown … unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B_ANAER (unknown … unkno… Bacter… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> F_FUNGUS (unknown … unkno… Fungi (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> UNKNOWN (unknown … unkno… (unkno… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> P_PROTOZOAN (unknown … unkno… Protoz… (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> F_YEAST (unknown … unkno… Fungi (unkn… (unk… (unk… <span style="color: #949494;">"</span>(unk… (unk… <span style="color: #949494;">"</span>(unkn…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> F_AABRN Aabaarnia unkno… Fungi Ascom… Leca… Ostr… <span style="color: #949494;">""</span> Aaba… <span style="color: #949494;">""</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 78,668 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 16 more variables: subspecies &lt;chr&gt;, rank &lt;chr&gt;, ref &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># oxygen_tolerance &lt;chr&gt;, source &lt;chr&gt;, lpsn &lt;chr&gt;, lpsn_parent &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># lpsn_renamed_to &lt;chr&gt;, mycobank &lt;chr&gt;, mycobank_parent &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># mycobank_renamed_to &lt;chr&gt;, gbif &lt;chr&gt;, gbif_parent &lt;chr&gt;,</span></span>

17
reference/mo_matching_score.html
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@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@ -99,7 +99,7 @@
</ul><p>Furthermore,</p><ul><li><p>Any genus present in the <strong>established</strong> list also has <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any other genus present in the <strong>putative</strong> list has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any other species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 1.5</code> in the <a href="microorganisms.html">microorganisms</a> data set;</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arthroderma</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Chrysosporium</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Geotrichum</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hansenula</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Kloeckera</em>, <em>Kluyveromyces</em>, <em>Kodamaea</em>, <em>Leishmania</em>, <em>Lichtheimia</em>, <em>Lodderomyces</em>, <em>Lomentospora</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Millerozyma</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Paecilomyces</em>, <em>Pediculus</em>, <em>Penicillium</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoscopulariopsis</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Saprochaete</em>, <em>Sarcoptes</em>, <em>Scedosporium</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Sporotrichum</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Talaromyces</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Verticillium</em>, or <em>Wuchereria</em>;</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, has <code>prevalence = 1.25</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Actinomucor</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arthroderma</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bipolaris</em>, <em>Blastobotrys</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chilomastix</em>, <em>Chrysonilia</em>, <em>Chrysosporium</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Clavispora</em>, <em>Coccidioides</em>, <em>Cokeromyces</em>, <em>Conidiobolus</em>, <em>Coniochaeta</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Cryptosporidium</em>, <em>Cunninghamella</em>, <em>Curvularia</em>, <em>Cyberlindnera</em>, <em>Debaryozyma</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Epidermophyton</em>, <em>Exidia</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Geotrichum</em>, <em>Giardia</em>, <em>Graphium</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hansenula</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hortaea</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Kloeckera</em>, <em>Kluyveromyces</em>, <em>Kodamaea</em>, <em>Lacazia</em>, <em>Leishmania</em>, <em>Lichtheimia</em>, <em>Lodderomyces</em>, <em>Lomentospora</em>, <em>Madurella</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Millerozyma</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Nannizzia</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Paecilomyces</em>, <em>Paracoccidioides</em>, <em>Pediculus</em>, <em>Penicillium</em>, <em>Phaeoacremonium</em>, <em>Phaeomoniella</em>, <em>Phialophora</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoscopulariopsis</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Purpureocillium</em>, <em>Quambalaria</em>, <em>Rhinocladiella</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Saksenaea</em>, <em>Saprochaete</em>, <em>Sarcoptes</em>, <em>Scedosporium</em>, <em>Schistosoma</em>, <em>Schizosaccharomyces</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Sporopachydermia</em>, <em>Sporothrix</em>, <em>Sporotrichum</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syncephalastrum</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Talaromyces</em>, <em>Teleomorph</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ulocladium</em>, <em>Ustilago</em>, <em>Verticillium</em>, <em>Wallemia</em>, <em>Wangiella</em>, <em>Wickerhamomyces</em>, <em>Wuchereria</em>, <em>Yarrowia</em>, or <em>Zygosaccharomyces</em>;</p></li>
<li><p>All other records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.381\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
@ -108,7 +108,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
@ -129,12 +129,11 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> --------------------------------------------------------------------------------</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> "E. coli" -&gt; Escherichia coli (B_ESCHR_COLI, 0.688)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Also matched: Escherichia coli coli (0.643), Escherichia coli</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> expressing (0.611), Enterobacter cowanii (0.600), Eubacterium combesii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.583), Enterococcus casseliflavus (0.577), and Enterobacter cloacae</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> cloacae (0.571)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Also matched: Enterococcus crotali (0.650), Escherichia coli coli</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.643), Escherichia coli expressing (0.611), Erwinia coffeiphila</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.605), Eubacterium coprostanoligenes (0.603), Enterobacter cowanii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.600), Eubacterium combesii (0.600), Enterococcus columbae (0.595),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Eggerthia catenaformis (0.591), and Enterococcus camelliae (0.591)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Only the first 10 other matches of each record are shown. Run</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> print(mo_uncertainties(), n = ...) to view more entries, or save</span>

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reference/mo_property.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</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">
@ -404,7 +404,7 @@
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>All data sets in this <code>AMR</code> package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
<div class="section level2">
<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@ -696,6 +696,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> $mo</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "B_KLBSL_PNMN"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $rank</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "species"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $kingdom</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Bacteria"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>

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@ -9,7 +9,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
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@ -7,7 +7,7 @@
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@ -9,7 +9,7 @@ Especially the scale_*_mic() functions are relevant wrappers to plot MIC values
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reference/proportion.html
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@ -9,7 +9,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
<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="">2.1.1.9080</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9081</small>
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@ -133,7 +133,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
<dt id="arg-ab-result">ab_result<a class="anchor" aria-label="anchor" href="#arg-ab-result"></a></dt>
<dd><p>antibiotic results to test against, must be one or more values of "S", "I", or "R"</p></dd>
<dd><p>antibiotic results to test against, must be one or more values of "S", "SDD", "I", or "R"</p></dd>
<dt id="arg-confidence-level">confidence_level<a class="anchor" aria-label="anchor" href="#arg-confidence-level"></a></dt>
@ -161,7 +161,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
<dt id="arg-combine-si">combine_SI<a class="anchor" aria-label="anchor" href="#arg-combine-si"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S and I must be merged into one, so the output only consists of S+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S, SDD, and I must be merged into one, so the output only consists of S+SDD+I vs. R (susceptible vs. resistant) - the default is <code>TRUE</code></p></dd>
</dl></div>
<div class="section level2">

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@ -7,7 +7,7 @@
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@ -9,7 +9,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
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