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<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="These functions determine which items in a vector can be considered (the start of) a new episode, based on the argument episode_days. This can be used to determine clinical episodes for any epidemiological analysis. The get_episode() function returns the index number of the episode per group, while the is_new_episode() function returns TRUE for every new get_episode() index, and is thus equal to !duplicated(get_episode(...))."><title>Determine (Clinical) Episodes — get_episode • AMR (for R)</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Fira_Code-0.4.5/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><script src="../extra.js"></script><meta property="og:title" content="Determine (Clinical) Episodes — get_episode"><meta property="og:description" content="These functions determine which items in a vector can be considered (the start of) a new episode, based on the argument episode_days. This can be used to determine clinical episodes for any epidemiological analysis. The get_episode() function returns the index number of the episode per group, while the is_new_episode() function returns TRUE for every new get_episode() index, and is thus equal to !duplicated(get_episode(...))."><meta property="og:image" content="https://msberends.github.io/AMR/logo.svg"><meta name="twitter:card" content="summary_large_image"><meta name="twitter:creator" content="@msberends"><meta name="twitter:site" content="@msberends"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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<img src="../logo.svg" class="logo" alt=""><h1>Determine (Clinical) Episodes</h1>
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<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/R/get_episode.R" class="external-link"><code>R/get_episode.R</code></a></small>
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<div class="d-none name"><code>get_episode.Rd</code></div>
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<div class="ref-description section level2">
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<p>These functions determine which items in a vector can be considered (the start of) a new episode, based on the argument <code>episode_days</code>. This can be used to determine clinical episodes for any epidemiological analysis. The <code>get_episode()</code> function returns the index number of the episode per group, while the <code>is_new_episode()</code> function returns <code>TRUE</code> for every new <code>get_episode()</code> index, and is thus equal to <code>!duplicated(get_episode(...))</code>.</p>
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<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_episode</span><span class="op">(</span><span class="va">x</span>, <span class="va">episode_days</span>, <span class="va">...</span><span class="op">)</span></span>
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<span></span>
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<span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">x</span>, <span class="va">episode_days</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
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<div class="section level2">
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<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
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<dl><dt>x</dt>
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<dd><p>vector of dates (class <code>Date</code> or <code>POSIXt</code>), will be sorted internally to determine episodes</p></dd>
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<dt>episode_days</dt>
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<dd><p>required episode length in days, can also be less than a day or <code>Inf</code>, see <em>Details</em></p></dd>
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<dt>...</dt>
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<dd><p>ignored, only in place to allow future extensions</p></dd>
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</dl></div>
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<div class="section level2">
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<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
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<ul><li><p><code>get_episode()</code>: an <a href="https://rdrr.io/r/base/integer.html" class="external-link">integer</a> vector</p></li>
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<li><p><code>is_new_episode()</code>: a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> vector</p></li>
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</ul></div>
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<div class="section level2">
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<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
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<p>The functions <code>get_episode()</code> and <code>is_new_episode()</code> differ in this way when setting <code>episode_days</code> to 365:</p><table class="table table"><tr><td>person_id</td><td>date</td><td><code>get_episode()</code></td><td><code>is_new_episode()</code></td></tr><tr><td>A</td><td>2019-01-01</td><td>1</td><td>TRUE</td></tr><tr><td>A</td><td>2019-03-01</td><td>1</td><td>FALSE</td></tr><tr><td>A</td><td>2021-01-01</td><td>2</td><td>TRUE</td></tr><tr><td>B</td><td>2008-01-01</td><td>1</td><td>TRUE</td></tr><tr><td>B</td><td>2008-01-01</td><td>1</td><td>FALSE</td></tr><tr><td>C</td><td>2020-01-01</td><td>1</td><td>TRUE</td></tr></table><p>Dates are first sorted from old to new. The oldest date will mark the start of the first episode. After this date, the next date will be marked that is at least <code>episode_days</code> days later than the start of the first episode. From that second marked date on, the next date will be marked that is at least <code>episode_days</code> days later than the start of the second episode which will be the start of the third episode, and so on. Before the vector is being returned, the original order will be restored.</p>
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<p>The <code><a href="first_isolate.html">first_isolate()</a></code> function is a wrapper around the <code>is_new_episode()</code> function, but is more efficient for data sets containing microorganism codes or names and allows for different isolate selection methods.</p>
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<p>The <code>dplyr</code> package is not required for these functions to work, but these episode functions do support <a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">variable grouping</a> and work conveniently inside <code>dplyr</code> verbs such as <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise()</a></code>.</p>
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</div>
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<div class="section level2">
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<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
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<div class="dont-index"><p><code><a href="first_isolate.html">first_isolate()</a></code></p></div>
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</div>
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<div class="section level2">
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<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># `example_isolates` is a data set available in the AMR package.</span></span></span>
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<span class="r-in"><span><span class="co"># See ?example_isolates</span></span></span>
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<span class="r-in"><span><span class="va">df</span> <span class="op"><-</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>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># indices</span></span></span>
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<span class="r-out co"><span class="r-pr">#></span> [1] 14 9 46 41 43 20 38 36 3 19 34 47 27 13 34 37 8 39 46 6 30 44 41 23 36</span>
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<span class="r-out co"><span class="r-pr">#></span> [26] 28 35 48 7 49 45 21 1 44 17 11 2 40 17 16 5 13 14 43 8 15 33 6 44 31</span>
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<span class="r-out co"><span class="r-pr">#></span> [51] 22 7 37 25 21 34 35 45 26 34 32 19 24 48 10 7 29 31 37 19 1 42 11 25 47</span>
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<span class="r-out co"><span class="r-pr">#></span> [76] 28 4 12 8 13 40 1 18 18 11 7 42 32 11 24 9 29 5 22 20 32 7 24 12 46</span>
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<span class="r-in"><span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</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>
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<span class="r-out co"><span class="r-pr">#></span> [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE</span>
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<span class="r-out co"><span class="r-pr">#></span> [13] TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE</span>
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<span class="r-out co"><span class="r-pr">#></span> [25] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE</span>
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<span class="r-out co"><span class="r-pr">#></span> [37] TRUE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
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<span class="r-out co"><span class="r-pr">#></span> [49] FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE</span>
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<span class="r-out co"><span class="r-pr">#></span> [61] TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE</span>
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<span class="r-out co"><span class="r-pr">#></span> [73] FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE FALSE</span>
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<span class="r-out co"><span class="r-pr">#></span> [85] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
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<span class="r-out co"><span class="r-pr">#></span> [97] FALSE FALSE FALSE FALSE</span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="co"># filter on results from the third 60-day episode only, using base R</span></span></span>
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<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>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 1 × 46</span></span>
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<span class="r-out co"><span class="r-pr">#></span> date patient age gender ward mo PEN OXA FLC AMX </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><date></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><mo></span> <span style="color: #949494; font-style: italic;"><sir></span> <span style="color: #949494; font-style: italic;"><sir></span> <span style="color: #949494; font-style: italic;"><sir></span> <span style="color: #949494; font-style: italic;"><sir></span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 2002-05-14 077552 86 F Clinical B_STRPT_PNMN S NA NA S </span>
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||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># … with 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>,</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># FEP <sir>, CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>,</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># GEN <sir>, TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>,</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># NIT <sir>, FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>,</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># TEC <sir>, TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>,</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># AZM <sir>, IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>,</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># MUP <sir>, RIF <sir></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span><span class="co"># the functions also work for less than a day, e.g. to include one per hour:</span></span></span>
|
||
<span class="r-in"><span><span class="fu">get_episode</span><span class="op">(</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/Sys.time.html" class="external-link">Sys.time</a></span><span class="op">(</span><span class="op">)</span>,</span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/Sys.time.html" class="external-link">Sys.time</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span> <span class="fl">60</span> <span class="op">*</span> <span class="fl">60</span></span></span>
|
||
<span class="r-in"><span> <span class="op">)</span>,</span></span>
|
||
<span class="r-in"><span> episode_days <span class="op">=</span> <span class="fl">1</span> <span class="op">/</span> <span class="fl">24</span></span></span>
|
||
<span class="r-in"><span><span class="op">)</span></span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> [1] 1 2</span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span><span class="co"># \donttest{</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"># is_new_episode() can also be used in dplyr verbs to determine patient</span></span></span>
|
||
<span class="r-in"><span> <span class="co"># episodes based on any (combination of) grouping variables:</span></span></span>
|
||
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>condition <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></span>
|
||
<span class="r-in"><span> x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"A"</span>, <span class="st">"B"</span>, <span class="st">"C"</span><span class="op">)</span>,</span></span>
|
||
<span class="r-in"><span> size <span class="op">=</span> <span class="fl">100</span>,</span></span>
|
||
<span class="r-in"><span> replace <span class="op">=</span> <span class="cn">TRUE</span></span></span>
|
||
<span class="r-in"><span> <span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">patient</span>, <span class="va">condition</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>new_episode <span class="op">=</span> <span class="fu">is_new_episode</span><span class="op">(</span><span class="va">date</span>, <span class="fl">365</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<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="va">patient</span>, <span class="va">date</span>, <span class="va">condition</span>, <span class="va">new_episode</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<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">#></span> <span style="color: #949494;"># A tibble: 100 × 4</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Groups: patient, condition [94]</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> patient date condition new_episode</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><date></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><lgl></span> </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 04C169 2012-07-18 A TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 067927 2002-01-07 A TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 067927 2002-01-29 B TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 067927 2002-01-07 C TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 077552 2002-05-14 A TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 09B453 2010-03-21 B TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 107DD1 2012-09-03 A TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 113236 2006-11-21 A TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 114570 2003-04-08 C TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 118928 2004-02-01 C TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># … with 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>
|
||
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">ward</span>, <span class="va">patient</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/transmute.html" class="external-link">transmute</a></span><span class="op">(</span><span class="va">date</span>,</span></span>
|
||
<span class="r-in"><span> <span class="va">patient</span>,</span></span>
|
||
<span class="r-in"><span> new_index <span class="op">=</span> <span class="fu">get_episode</span><span class="op">(</span><span class="va">date</span>, <span class="fl">60</span><span class="op">)</span>,</span></span>
|
||
<span class="r-in"><span> new_logical <span class="op">=</span> <span class="fu">is_new_episode</span><span class="op">(</span><span class="va">date</span>, <span class="fl">60</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><span> <span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<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">ward</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">#></span> <span style="color: #949494;"># A tibble: 100 × 5</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Groups: ward, patient [88]</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> ward date patient new_index new_logical</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><date></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><lgl></span> </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> Clinical 2012-07-18 04C169 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> ICU 2002-01-07 067927 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> ICU 2002-01-07 067927 1 FALSE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> ICU 2002-01-29 067927 1 FALSE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> Clinical 2002-05-14 077552 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> Clinical 2010-03-21 09B453 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> Clinical 2012-09-03 107DD1 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> Clinical 2006-11-21 113236 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> ICU 2003-04-08 114570 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> Clinical 2004-02-01 118928 1 TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># … with 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>
|
||
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">ward</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span></span>
|
||
<span class="r-in"><span> n_patients <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/n_distinct.html" class="external-link">n_distinct</a></span><span class="op">(</span><span class="va">patient</span><span class="op">)</span>,</span></span>
|
||
<span class="r-in"><span> n_episodes_365 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">365</span><span class="op">)</span><span class="op">)</span>,</span></span>
|
||
<span class="r-in"><span> n_episodes_60 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu">is_new_episode</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="op">)</span>,</span></span>
|
||
<span class="r-in"><span> n_episodes_30 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">30</span><span class="op">)</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><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">#></span> <span style="color: #949494;"># A tibble: 3 × 5</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> ward n_patients n_episodes_365 n_episodes_60 n_episodes_30</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><int></span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> Clinical 60 12 38 44</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> ICU 26 9 22 25</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> Outpatient 2 2 2 2</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>
|
||
<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="va">x</span> <span class="op"><-</span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="first_isolate.html">filter_first_isolate</a></span><span class="op">(</span></span></span>
|
||
<span class="r-in"><span> include_unknown <span class="op">=</span> <span class="cn">TRUE</span>,</span></span>
|
||
<span class="r-in"><span> method <span class="op">=</span> <span class="st">"episode-based"</span></span></span>
|
||
<span class="r-in"><span> <span class="op">)</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span> <span class="va">y</span> <span class="op"><-</span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">patient</span>, <span class="va">mo</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><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">is_new_episode</span><span class="op">(</span><span class="va">date</span>, <span class="fl">365</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">ungroup</a></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"><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">#></span> [1] FALSE</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>
|
||
<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="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">patient</span>, <span class="va">mo</span>, <span class="va">ward</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>flag_episode <span class="op">=</span> <span class="fu">is_new_episode</span><span class="op">(</span><span class="va">date</span>, <span class="fl">365</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<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">#></span> <span style="color: #949494;"># A tibble: 100 × 4</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Groups: patient, mo, ward [92]</span></span>
|
||
<span class="r-out co"><span class="r-pr">#></span> patient mo ward flag_episode</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><mo></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><lgl></span> </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 848254 B_STPHY_CONS ICU TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> E60130 B_KLBSL_OXYT Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 872108 B_ESCHR_COLI Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> A96395 B_ENTRC_FCLS Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> D41749 B_ESCHR_COLI ICU TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 113236 B_ESCHR_COLI Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 685398 B_STRPT_ORLS Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 107DD1 B_STPHY_CONS Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 077552 B_STRPT_PNMN Clinical TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 3F5B3F B_STPHY_CONS ICU TRUE </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># … with 90 more rows</span></span>
|
||
<span class="r-in"><span><span class="co"># }</span></span></span>
|
||
</code></pre></div>
|
||
</div>
|
||
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
|
||
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|
||
|
||
|
||
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|
||
<p></p><p><code>AMR</code> (for R). Free and open-source, licenced under the <a target="_blank" href="https://github.com/msberends/AMR/blob/main/LICENSE" class="external-link">GNU General Public License version 2.0 (GPL-2)</a>.<br>Developed at the <a target="_blank" href="https://www.rug.nl" class="external-link">University of Groningen</a> and <a target="_blank" href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a> in The Netherlands.</p>
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|
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|
||
<p></p><p><a target="_blank" href="https://www.rug.nl" class="external-link"><img src="https://github.com/msberends/AMR/raw/main/pkgdown/logos/logo_rug.svg" style="max-width: 150px;"></a><a target="_blank" href="https://www.umcg.nl" class="external-link"><img src="https://github.com/msberends/AMR/raw/main/pkgdown/logos/logo_umcg.svg" style="max-width: 150px;"></a></p>
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