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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="">2.1.1.9084</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9086</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">
@ -87,7 +87,7 @@
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 30 September 2024.</p>
generated on 02 October 2024.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -143,21 +143,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2024-09-30</td>
<td align="center">2024-10-02</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">2024-09-30</td>
<td align="center">2024-10-02</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">2024-09-30</td>
<td align="center">2024-10-02</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
@ -270,12 +270,12 @@ taxonomic codes. Let’s check this:</p>
<span><span class="co">#&gt; taxonomic name, and the pathogenicity in humans. See ?mo_matching_score.</span></span>
<span><span class="co">#&gt; </span></span>
<span><span class="co">#&gt; --------------------------------------------------------------------------------</span></span>
<span><span class="co">#&gt; "E. coli" -&gt; Enterococcus crotali (B_ENTRC_CRTL, 0.650)</span></span>
<span><span class="co">#&gt; Also matched: Escherichia coli (0.598), Enterococcus columbae (0.595),</span></span>
<span><span class="co">#&gt; Enterococcus camelliae (0.591), Enterococcus casseliflavus (0.577),</span></span>
<span><span class="co">#&gt; Escherichia coli coli (0.559), Enterococcus canis (0.556), Enterococcus</span></span>
<span><span class="co">#&gt; cecorum (0.550), Enterococcus canintestini (0.540), Escherichia coli</span></span>
<span><span class="co">#&gt; expressing (0.531), and Enterobacter cowanii (0.522)</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: Enterococcus crotali (0.650), Escherichia coli coli</span></span>
<span><span class="co">#&gt; (0.643), Escherichia coli expressing (0.611), Enterococcus columbae</span></span>
<span><span class="co">#&gt; (0.595), Enterococcus camelliae (0.591), Enterococcus casseliflavus</span></span>
<span><span class="co">#&gt; (0.577), Enterococcus canis (0.556), Enterococcus cecorum (0.550),</span></span>
<span><span class="co">#&gt; Enterococcus canintestini (0.540), and Enterobacter cowanii (0.522)</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>
@ -333,15 +333,15 @@ dplyr:</p>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 3,000 × 8</span></span></span>
<span><span class="co">#&gt; patient_id hospital date bacteria AMX AMC CIP GEN </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></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> J3 A 2012-11-21 B_ENTRC_CRTL R I S S </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 </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 </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> P3 A 2014-09-19 B_ENTRC_CRTL R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> P10 A 2015-12-10 B_ENTRC_CRTL S I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B7 A 2015-03-02 B_ENTRC_CRTL S S S S </span></span>
<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;"> 7</span> J8 A 2016-06-14 B_ENTRC_CRTL R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> M3 A 2015-10-25 B_ENTRC_CRTL R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> J3 A 2019-06-19 B_ENTRC_CRTL S S S 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: #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
@ -396,9 +396,9 @@ 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 2,764 'phenotype-based' first isolates (92.1% 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 92% 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">
@ -408,24 +408,24 @@ 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 2 764 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: 2,764 × 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_ENTRC_CRTL R I S S TRUE </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_ENTRC_CRTL S I S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B7 A 2015-03-02 B_ENTRC_CRTL 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;"> 6</span> M3 A 2015-10-25 B_ENTRC_CRTL R S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> J3 A 2019-06-19 B_ENTRC_CRTL 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;"> 9</span> P4 A 2011-06-21 B_ENTRC_CRTL S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Z1 A 2014-09-05 B_ENTRC_CRTL S S S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,754 more rows</span></span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> P3 A 2014-09-19 B_ESCHR_COLI R S S S TRUE </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 TRUE </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 TRUE </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 TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</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;"> 8</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;"> 9</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;">10</span> P4 A 2011-06-21 B_ESCHR_COLI S S S S TRUE </span></span>
<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>
@ -438,44 +438,44 @@ 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:2764 Length:2764 Min. :2011-01-01 </span></span>
<span><span class="co">#&gt; Class :character Class :character 1st Qu.:2013-04-18 </span></span>
<span><span class="co">#&gt; Mode :character Mode :character Median :2015-06-07 </span></span>
<span><span class="co">#&gt; Mean :2015-06-16 </span></span>
<span><span class="co">#&gt; 3rd Qu.:2017-08-23 </span></span>
<span><span class="co">#&gt; Max. :2020-01-01 </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.:2013-04-07 </span></span>
<span><span class="co">#&gt; Mode :character Mode :character Median :2015-06-03 </span></span>
<span><span class="co">#&gt; Mean :2015-06-09 </span></span>
<span><span class="co">#&gt; 3rd Qu.:2017-08-11 </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 :42.1% (n=1163) %S :53.0% (n=1464) </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 :16.2% (n=447) %I :12.2% (n=337) </span></span>
<span><span class="co">#&gt; #2 :B_STPHY_AURS %R :41.8% (n=1154) %R :34.8% (n=963) </span></span>
<span><span class="co">#&gt; #3 :B_ENTRC_CRTL %NI : 0.0% (n=0) %NI : 0.0% (n=0) </span></span>
<span><span class="co">#&gt; &lt;NA&gt; :0 %S :41.6% (n=1133) %S :52.6% (n=1432) </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 :16.4% (n=446) %I :12.2% (n=333) </span></span>
<span><span class="co">#&gt; #2 :B_STPHY_AURS %R :42.0% (n=1145) %R :35.2% (n=959) </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 :52.9% (n=1462) %S :61.5% (n=1699) TRUE:2764 </span></span>
<span><span class="co">#&gt; %S :52.5% (n=1431) %S :61.0% (n=1661) 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 : 6.3% (n=174) %I : 3.0% (n=82) </span></span>
<span><span class="co">#&gt; %R :40.8% (n=1128) %R :35.6% (n=983) </span></span>
<span><span class="co">#&gt; %I : 6.5% (n=176) %I : 3.0% (n=82) </span></span>
<span><span class="co">#&gt; %R :41.0% (n=1117) %R :36.0% (n=981) </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: 2,764</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; $ patient_id <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> "J3", "R7", "P3", "P10", "B7", "W3", "M3", "J3", "G6", "P4"…</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>
<span><span class="co">#&gt; $ date <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2012-11-21, 2018-04-03, 2015-12-10, 2015-03-02, 2018-03-31…</span></span>
<span><span class="co">#&gt; $ bacteria <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> "B_ENTRC_CRTL", "B_KLBSL_PNMN", "B_ENTRC_CRTL", "B_ENTRC_CRT…</span></span>
<span><span class="co">#&gt; $ AMX <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> R, R, S, S, R, R, S, S, S, S, R, S, S, S, R, R, R, R, S, R,…</span></span>
<span><span class="co">#&gt; $ AMC <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> I, I, I, S, S, S, S, S, S, S, S, S, I, S, S, S, S, R, S, S,…</span></span>
<span><span class="co">#&gt; $ CIP <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> S, S, S, S, R, S, S, S, S, S, S, S, S, S, S, S, S, S, S, S,…</span></span>
<span><span class="co">#&gt; $ GEN <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> S, S, S, S, S, S, S, S, S, S, R, S, S, S, S, S, S, S, S, S,…</span></span>
<span><span class="co">#&gt; $ date <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> 2012-11-21, 2018-04-03, 2014-09-19, 2015-12-10, 2015-03-02…</span></span>
<span><span class="co">#&gt; $ bacteria <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> "B_ESCHR_COLI", "B_KLBSL_PNMN", "B_ESCHR_COLI", "B_ESCHR_COL…</span></span>
<span><span class="co">#&gt; $ AMX <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> R, R, R, S, S, R, R, S, S, S, S, R, S, S, R, R, R, R, S, R,…</span></span>
<span><span class="co">#&gt; $ AMC <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> I, I, S, I, S, S, S, S, S, S, S, S, S, S, S, S, S, R, S, S,…</span></span>
<span><span class="co">#&gt; $ CIP <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> S, S, S, S, S, R, S, S, S, S, S, S, S, S, S, S, S, S, S, S,…</span></span>
<span><span class="co">#&gt; $ GEN <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> S, S, S, S, S, S, S, S, S, S, S, R, S, S, S, S, S, S, S, S,…</span></span>
<span><span class="co">#&gt; $ first <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,…</span></span>
<span></span>
<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 1877 5 3 3 3 </span></span>
<span><span class="co">#&gt; 260 3 1854 4 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">
@ -487,25 +487,23 @@ 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: 5 × 2</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 4 × 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>024</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;">3</span> Enterococcus crotali 494</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Streptococcus pneumoniae 426</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> Klebsiella pneumoniae 326</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>
<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: 5 × 2</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 4 × 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 919</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> Escherichia coli <span style="text-decoration: underline;">1</span>321</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> Staphylococcus aureus 682</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> Enterococcus crotali 442</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Streptococcus pneumoniae 402</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> Klebsiella pneumoniae 319</span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> Streptococcus pneumoniae 402</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae 319</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>
@ -517,113 +515,113 @@ 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: 2,764 × 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>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> 2018-04-03 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 2015-12-10 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 2015-03-02 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 2018-03-31 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 2015-10-25 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> 2019-06-19 S </span></span>
<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 2,754 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> 2014-09-19 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> 2015-12-10 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> 2015-03-02 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> 2018-03-31 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> 2015-10-25 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> 2019-06-19 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> 2015-04-27 S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> 2011-06-21 S </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: 2,764 × 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_ENTRC_CRTL R I </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_ENTRC_CRTL S I </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B_ENTRC_CRTL 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;"> 6</span> B_ENTRC_CRTL R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> B_ENTRC_CRTL 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;"> 9</span> B_ENTRC_CRTL S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> B_ENTRC_CRTL S S </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,754 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> B_ESCHR_COLI R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B_ESCHR_COLI S I </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B_ESCHR_COLI S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> B_STPHY_AURS R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> B_ESCHR_COLI R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> B_ESCHR_COLI S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> B_STPHY_AURS 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 2,714 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: 2,764 × 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_ENTRC_CRTL R I S S </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_ENTRC_CRTL S I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B_ENTRC_CRTL 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;"> 6</span> B_ENTRC_CRTL R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> B_ENTRC_CRTL 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;"> 9</span> B_ENTRC_CRTL S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> B_ENTRC_CRTL S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 2,754 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> B_ESCHR_COLI R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> B_ESCHR_COLI S I S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> B_STPHY_AURS R S R S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> B_ESCHR_COLI R S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> B_ESCHR_COLI S S S S </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> B_STPHY_AURS 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 2,714 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: 983 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 981 × 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;"> 3</span> B3 A 2016-07-24 B_ENTRC_CRTL S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> V7 A 2012-04-03 B_ENTRC_CRTL S S S R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> C9 A 2017-03-23 B_ENTRC_CRTL S 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;"> 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;">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 973 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 971 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: 464 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 462 × 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;"> 5</span> B6 A 2016-11-20 B_ENTRC_CRTL R R R R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> I7 A 2015-08-19 B_ENTRC_CRTL 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_ENTRC_CRTL R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> X7 A 2011-03-20 B_ENTRC_CRTL R R S R 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 454 more rows</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 452 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: 464 × 9</span></span></span>
<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 462 × 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;"> 5</span> B6 A 2016-11-20 B_ENTRC_CRTL R R R R TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> I7 A 2015-08-19 B_ENTRC_CRTL 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_ENTRC_CRTL R R S S TRUE </span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> X7 A 2011-03-20 B_ENTRC_CRTL R R S R 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 454 more rows</span></span></span></code></pre></div>
<span><span class="co">#&gt; <span style="color: #949494;"># ℹ 452 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>
@ -1222,7 +1220,7 @@ 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] 0.4175109</span></span></code></pre></div>
<span><span class="co">#&gt; [1] 0.4203377</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">
@ -1232,9 +1230,9 @@ 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 0.340</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> B 0.551</span></span>
<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> C 0.362</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>