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@ -204,7 +204,7 @@
website update since they are based on randomly created values and the
page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
Markdown</a>. However, the methodology remains unchanged. This page was
generated on 11 July 2023.</p>
generated on 12 July 2023.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -260,21 +260,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2023-07-11</td>
<td align="center">2023-07-12</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
</tr>
<tr class="even">
<td align="center">2023-07-11</td>
<td align="center">2023-07-12</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
</tr>
<tr class="odd">
<td align="center">2023-07-11</td>
<td align="center">2023-07-12</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>

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@ -402,19 +402,19 @@ names or codes, this would have worked exactly the same way:</p>
<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">my_TB_data</span><span class="op">)</span></span>
<span><span class="co">#&gt; rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></span>
<span><span class="co">#&gt; 1 S S I S I I</span></span>
<span><span class="co">#&gt; 2 S I R R S S</span></span>
<span><span class="co">#&gt; 3 R S I R I I</span></span>
<span><span class="co">#&gt; 4 S I I R R R</span></span>
<span><span class="co">#&gt; 5 S R I S R R</span></span>
<span><span class="co">#&gt; 6 S S I S S I</span></span>
<span><span class="co">#&gt; 1 S R R I I R</span></span>
<span><span class="co">#&gt; 2 I R R I S I</span></span>
<span><span class="co">#&gt; 3 I S I R R I</span></span>
<span><span class="co">#&gt; 4 R R I R I S</span></span>
<span><span class="co">#&gt; 5 R S I I I S</span></span>
<span><span class="co">#&gt; 6 I S I S I R</span></span>
<span><span class="co">#&gt; kanamycin</span></span>
<span><span class="co">#&gt; 1 I</span></span>
<span><span class="co">#&gt; 2 S</span></span>
<span><span class="co">#&gt; 3 S</span></span>
<span><span class="co">#&gt; 4 I</span></span>
<span><span class="co">#&gt; 5 S</span></span>
<span><span class="co">#&gt; 6 S</span></span></code></pre></div>
<span><span class="co">#&gt; 1 S</span></span>
<span><span class="co">#&gt; 2 I</span></span>
<span><span class="co">#&gt; 3 R</span></span>
<span><span class="co">#&gt; 4 R</span></span>
<span><span class="co">#&gt; 5 I</span></span>
<span><span class="co">#&gt; 6 I</span></span></code></pre></div>
<p>We can now add the interpretation of MDR-TB to our data set. You can
use:</p>
<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
@ -455,40 +455,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3201</td>
<td align="right">64.02%</td>
<td align="right">3201</td>
<td align="right">64.02%</td>
<td align="right">3187</td>
<td align="right">63.74%</td>
<td align="right">3187</td>
<td align="right">63.74%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">976</td>
<td align="right">19.52%</td>
<td align="right">4177</td>
<td align="right">83.54%</td>
<td align="right">1017</td>
<td align="right">20.34%</td>
<td align="right">4204</td>
<td align="right">84.08%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">477</td>
<td align="right">9.54%</td>
<td align="right">4654</td>
<td align="right">93.08%</td>
<td align="right">456</td>
<td align="right">9.12%</td>
<td align="right">4660</td>
<td align="right">93.20%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">241</td>
<td align="right">4.82%</td>
<td align="right">4895</td>
<td align="right">97.90%</td>
<td align="right">230</td>
<td align="right">4.60%</td>
<td align="right">4890</td>
<td align="right">97.80%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">105</td>
<td align="right">2.10%</td>
<td align="right">110</td>
<td align="right">2.20%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>

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@ -307,7 +307,7 @@ function:</p>
<span><span class="co">#&gt; [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales"</span></span>
<span><span class="co">#&gt; Importance of components:</span></span>
<span><span class="co">#&gt; PC1 PC2 PC3 PC4 PC5 PC6 PC7</span></span>
<span><span class="co">#&gt; Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 9.577e-17</span></span>
<span><span class="co">#&gt; Standard deviation 2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 1.232e-16</span></span>
<span><span class="co">#&gt; Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00</span></span>
<span><span class="co">#&gt; Cumulative Proportion 0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00</span></span></code></pre></div>
<pre><code><span><span class="co">#&gt; Groups (n=4, named as 'order'):</span></span>

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@ -193,7 +193,7 @@
<main id="main" class="col-md-9"><div class="page-header">
<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
<h4 data-toc-skip class="date">11 July 2023</h4>
<h4 data-toc-skip class="date">12 July 2023</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
<div class="d-none name"><code>datasets.Rmd</code></div>
@ -243,7 +243,6 @@ Feather file</a> (5.5 MB)<br>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.parquet" class="external-link">Apache
Parquet file</a> (2.6 MB)<br>
</li>
<li><em>(unavailable as SAS data (SAS) file)</em></li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.xpt" class="external-link">SAS
transport (XPT) file</a> (48.6 MB)<br>
</li>
@ -552,7 +551,6 @@ 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> (97 kB)<br>
</li>
<li><em>(unavailable as SAS data (SAS) file)</em></li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.xpt" class="external-link">SAS
transport (XPT) file</a> (1.4 MB)<br>
</li>
@ -753,7 +751,6 @@ Feather file</a> (15 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><em>(unavailable as SAS data (SAS) file)</em></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> (68 kB)<br>
</li>
@ -914,7 +911,7 @@ column names:<br><em>guideline</em>, <em>type</em>, <em>method</em>, <em>site</e
<em>uti</em>.</p>
<p>This data set is in R available as <code>clinical_breakpoints</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 10 July 2023 17:04:12 UTC. Find more info
<p>It was last updated on 12 July 2023 10:41:25 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>
@ -933,7 +930,6 @@ Feather file</a> (1.2 MB)<br>
<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> (87 kB)<br>
</li>
<li><em>(unavailable as SAS data (SAS) file)</em></li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/clinical_breakpoints.xpt" class="external-link">SAS
transport (XPT) file</a> (7.7 MB)<br>
</li>
@ -1115,7 +1111,6 @@ Feather file</a> (1.2 MB)<br>
<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> (0.2 MB)<br>
</li>
<li><em>(unavailable as SAS data (SAS) file)</em></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> (9.5 MB)<br>
</li>
@ -1404,7 +1399,6 @@ 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><em>(unavailable as SAS data (SAS) file)</em></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>
@ -2052,14 +2046,14 @@ reality and can be used to practise AMR data analysis.</p>
<code>microorganisms.groups</code>: Species Groups and
Microbiological Complexes<a class="anchor" aria-label="anchor" href="#microorganisms-groups-species-groups-and-microbiological-complexes"></a>
</h2>
<p>A data set with 444 rows and 4 columns, containing the following
<p>A data set with 448 rows and 4 columns, containing the following
column names:<br><em>mo_group</em>, <em>mo</em>, <em>mo_group_name</em>, and
<em>mo_name</em>.</p>
<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 8 July 2023 15:30:05 UTC. Find more info about
the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.groups.html">here</a>.</p>
<p>It was last updated on 12 July 2023 10:41:25 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
@ -2077,7 +2071,6 @@ Feather file</a> (17 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> (12 kB)<br>
</li>
<li><em>(unavailable as SAS data (SAS) file)</em></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>
@ -2177,7 +2170,6 @@ Feather file</a> (85 kB)<br>
<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> (57 kB)<br>
</li>
<li><em>(unavailable as SAS data (SAS) file)</em></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>
</li>

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@ -11,7 +11,7 @@ articles:
other_pkg: other_pkg.html
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
last_built: 2023-07-11T12:34Z
last_built: 2023-07-12T10:46Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles

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@ -222,16 +222,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1950-05-27 73 73.12329 49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1951-02-26 72 72.36986 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1944-02-02 79 79.43562 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1948-07-31 74 74.94521 51</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1973-07-03 50 50.02192 26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1966-03-18 57 57.31507 33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1940-03-31 83 83.27945 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1954-05-16 69 69.15342 45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1943-12-26 79 79.53973 56</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1997-02-17 26 26.39452 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1966-03-31 57 57.28219 33</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1978-05-07 45 45.18082 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1938-05-09 85 85.17534 61</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1944-10-01 78 78.77808 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1933-10-17 89 89.73425 66</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1994-05-11 29 29.16986 5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1950-03-26 73 73.29589 49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1999-12-14 23 23.57534 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1952-02-05 71 71.43014 47</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1991-03-26 32 32.29589 8</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>

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@ -626,11 +626,11 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 1</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> kefzol</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;sir&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> S </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> I </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> S </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> I </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> I </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> I </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> I </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="co"># get AMR for all aminoglycosides e.g., per ward:</span></span></span>

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@ -567,19 +567,19 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 13 × 13</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_user mo_user ab mo input</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2023-07-11 <span style="color: #949494;">12:34:59</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2023-07-11 <span style="color: #949494;">12:34:59</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2023-07-11 <span style="color: #949494;">12:34:59</span> 1 CIP Escherich… CIP B_[ORD]_ENTRBCTR 0.256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2023-07-11 <span style="color: #949494;">12:34:59</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2023-07-11 <span style="color: #949494;">12:34:52</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2023-07-11 <span style="color: #949494;">12:34:52</span> 2 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2023-07-11 <span style="color: #949494;">12:34:52</span> 3 AMX B_STRPT_P… AMX B_STRPT_PNMN 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2023-07-11 <span style="color: #949494;">12:34:52</span> 4 AMX B_STRPT_P… AMX B_STRPT_PNMN 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2023-07-11 <span style="color: #949494;">12:34:52</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2023-07-11 <span style="color: #949494;">12:34:51</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 2023-07-11 <span style="color: #949494;">12:34:51</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 2023-07-11 <span style="color: #949494;">12:34:51</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 20 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 2023-07-11 <span style="color: #949494;">12:34:51</span> 1 ampicillin Strep pneu AMP B_STRPT_PNMN 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2023-07-12 <span style="color: #949494;">10:47:46</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2023-07-12 <span style="color: #949494;">10:47:46</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2023-07-12 <span style="color: #949494;">10:47:45</span> 1 CIP Escherich… CIP B_[ORD]_ENTRBCTR 0.256</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2023-07-12 <span style="color: #949494;">10:47:45</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2023-07-12 <span style="color: #949494;">10:47:35</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2023-07-12 <span style="color: #949494;">10:47:35</span> 2 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2023-07-12 <span style="color: #949494;">10:47:35</span> 3 AMX B_STRPT_P… AMX B_STRPT_PNMN 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2023-07-12 <span style="color: #949494;">10:47:35</span> 4 AMX B_STRPT_P… AMX B_STRPT_PNMN 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2023-07-12 <span style="color: #949494;">10:47:35</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2023-07-12 <span style="color: #949494;">10:47:35</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 2023-07-12 <span style="color: #949494;">10:47:34</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 2023-07-12 <span style="color: #949494;">10:47:34</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR 20 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 2023-07-12 <span style="color: #949494;">10:47:34</span> 1 ampicillin Strep pneu AMP B_STRPT_PNMN 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># 6 more variables: outcome &lt;sir&gt;, method &lt;chr&gt;, breakpoint_S_R &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;</span></span>
<span class="r-in"><span></span></span>

View File

@ -263,29 +263,27 @@
<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="va">example_isolates</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq_len</a></span><span class="op">(</span><span class="fl">2000</span><span class="op">)</span>, size <span class="op">=</span> <span class="fl">100</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># indices</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 45 35 41 11 45 48 8 20 33 25 40 28 46 4 21 29 19 11 30 3 3 15 28 18 45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 39 17 25 14 38 49 32 39 36 34 26 8 20 44 13 21 47 27 6 47 30 9 26 42 31</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 7 18 23 43 30 28 22 19 42 10 13 7 13 15 39 23 36 11 32 46 35 49 38 6 12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 5 27 27 37 16 17 1 37 43 24 47 2 5 28 12 14 3 4 46 1 36 5 50 40 5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 42 21 48 39 7 47 25 24 36 9 4 28 35 10 14 1 35 38 46 26 30 1 5 40 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 43 49 16 5 15 30 10 26 8 7 12 50 12 2 20 45 30 14 11 30 42 25 41 23 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 2 27 39 18 44 15 50 32 37 31 12 25 40 34 50 44 37 22 32 44 14 43 50 12 44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 8 29 6 19 33 50 42 8 13 42 44 17 4 42 11 48 3 7 8 28 39 49 38 49 21</span>
<span class="r-in"><span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># TRUE/FALSE</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] TRUE TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] TRUE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE FALSE FALSE FALSE</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># filter on results from the third 60-day episode only, using base R</span></span></span>
<span class="r-in"><span><span class="va">df</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/which.html" class="external-link">which</a></span><span class="op">(</span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, <span class="fl">60</span><span class="op">)</span> <span class="op">==</span> <span class="fl">3</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 1 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> date patient age gender ward mo PEN OXA FLC AMX </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&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;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 class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2003-04-07 F35553 51 M ICU B_STPHY_AURS R NA S R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2003-04-02 6BC362 62 M ICU B_STRPT_PNMN S NA NA S </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2003-04-21 6BC362 62 M ICU B_STPHY_CONS R NA R R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-09-23 F35553 51 M ICU B_STPHY_AURS S NA S NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># 36 more variables: AMC &lt;sir&gt;, AMP &lt;sir&gt;, TZP &lt;sir&gt;, CZO &lt;sir&gt;, FEP &lt;sir&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># CXM &lt;sir&gt;, FOX &lt;sir&gt;, CTX &lt;sir&gt;, CAZ &lt;sir&gt;, CRO &lt;sir&gt;, GEN &lt;sir&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># TOB &lt;sir&gt;, AMK &lt;sir&gt;, KAN &lt;sir&gt;, TMP &lt;sir&gt;, SXT &lt;sir&gt;, NIT &lt;sir&gt;,</span></span>
@ -319,19 +317,19 @@
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/arrange.html" class="external-link">arrange</a></span><span class="op">(</span><span class="va">patient</span>, <span class="va">condition</span>, <span class="va">date</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 100 × 4</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, condition [97]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, condition [96]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient date condition new_episode</span>
<span class="r-out co"><span class="r-pr">#&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;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 023456 2012-11-24 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 036063 2010-01-28 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 047634 2004-06-28 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 059414 2006-07-21 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 05C73F 2006-01-12 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 067927 2002-01-29 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 078381 2014-07-17 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0C0688 2014-09-05 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0DBF93 2015-12-03 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0E2483 2007-08-10 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 032343 2003-06-09 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 05C73F 2006-01-12 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 066895 2002-02-27 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 067927 2002-02-14 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 080086 2010-08-08 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 101305 2006-12-13 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 105248 2005-06-16 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 116866 2011-11-07 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 122506 2007-08-10 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 141061 2014-10-22 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># 90 more rows</span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
@ -348,16 +346,16 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [92]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&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;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Clinical 2012-11-24 023456 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2010-01-28 036063 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2004-06-28 047634 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2006-07-21 059414 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2006-01-12 05C73F 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> ICU 2002-01-29 067927 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> ICU 2014-07-17 078381 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2014-09-05 0C0688 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> ICU 2015-12-03 0DBF93 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> ICU 2007-08-10 0E2483 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Clinical 2003-06-09 032343 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2006-01-12 05C73F 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2002-02-27 066895 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> ICU 2002-02-14 067927 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2010-08-08 080086 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2006-12-13 101305 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2005-06-16 105248 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2011-11-07 116866 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2007-08-10 122506 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2014-10-22 141061 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># 90 more rows</span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
@ -373,9 +371,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward n_patients n_episodes_365 n_episodes_60 n_episodes_30</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 56 13 39 47</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 28 11 25 28</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 8 6 7 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 60 14 38 47</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 28 9 22 25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 4 4 4 4</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># grouping on patients and microorganisms leads to the same</span></span></span>
<span class="r-in"><span><span class="co"># results as first_isolate() when using 'episode-based':</span></span></span>
@ -393,7 +391,7 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">y</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># but is_new_episode() has a lot more flexibility than first_isolate(),</span></span></span>
<span class="r-in"><span><span class="co"># since you can now group on anything that seems relevant:</span></span></span>
@ -404,19 +402,19 @@
<span class="r-in"><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="fu"><a href="https://dplyr.tidyverse.org/reference/group_data.html" class="external-link">group_vars</a></span><span class="op">(</span><span class="va">.</span><span class="op">)</span>, <span class="va">flag_episode</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 100 × 4</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [96]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [97]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&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;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> E06844 B_STPHY_AURS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 545388 B_KLBSL_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 208305 B_PROTS_MRBL Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 990867 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> F74F4C B_STRPT_PYGN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 340066 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> BB8157 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 533225 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 023456 B_PROTS_MRBL Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> B73393 B_STPHY_CONS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 438196 B_STPHY_COHN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> F37316 B_STRPT_PNMN ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> D08278 B_ESCHR_COLI ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 992282 B_STRPT_GRPA Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> D63414 B_PROTS_MRBL Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 450946 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E95747 B_KLBSL_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 451990 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 175532 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 161373 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># 90 more rows</span></span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>

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@ -199,9 +199,9 @@
<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="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 3.014051</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.959141</span>
<span class="r-in"><span><span class="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span>, excess <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.004766215</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.04474896</span>
</code></pre></div>
</div>
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@ -198,7 +198,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<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="fu">skewness</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.02416193</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.07297999</span>
</code></pre></div>
</div>
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