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(v1.4.0.9032) auto-data guessing for functions

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dr. M.S. (Matthijs) Berends
2020-12-07 16:06:42 +01:00
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docs/reference/key_antibiotics.html
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@ -49,7 +49,7 @@
<script src="../extra.js"></script>
<meta property="og:title" content="Key antibiotics for first weighted isolates — key_antibiotics" />
<meta property="og:description" content="These function can be used to determine first isolates (see first_isolate()). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates will then be called first weighted isolates." />
<meta property="og:description" content="These function can be used to determine first isolates (see first_isolate()). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates can then be called first weighted isolates." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9030</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9032</span>
</span>
</div>
@ -239,7 +239,7 @@
</div>
<div class="ref-description">
<p>These function can be used to determine first isolates (see <code><a href='first_isolate.html'>first_isolate()</a></code>). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates will then be called first <em>weighted</em> isolates.</p>
<p>These function can be used to determine first isolates (see <code><a href='first_isolate.html'>first_isolate()</a></code>). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates can then be called first <em>weighted</em> isolates.</p>
</div>
<pre class="usage"><span class='fu'>key_antibiotics</span><span class='op'>(</span>
@ -281,7 +281,7 @@
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>x</th>
<td><p>a data.frame with antibiotics columns, like <code>AMX</code> or <code>amox</code></p></td>
<td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with antibiotics columns, like <code>AMX</code> or <code>amox</code>. Can be omitted when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
</tr>
<tr>
<th>col_mo</th>
@ -331,7 +331,8 @@
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>The function <code>key_antibiotics()</code> returns a character vector with 12 antibiotic results for every isolate. These isolates can then be compared using <code>key_antibiotics_equal()</code>, to check if two isolates have generally the same antibiogram. Missing and invalid values are replaced with a dot (<code>"."</code>) by <code>key_antibiotics()</code> and ignored by <code>key_antibiotics_equal()</code>.</p>
<p>The <code>key_antibiotics()</code> function is context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> parameter can be omitted, please see <em>Examples</em>.</p>
<p>The function <code>key_antibiotics()</code> returns a character vector with 12 antibiotic results for every isolate. These isolates can then be compared using <code>key_antibiotics_equal()</code>, to check if two isolates have generally the same antibiogram. Missing and invalid values are replaced with a dot (<code>"."</code>) by <code>key_antibiotics()</code> and ignored by <code>key_antibiotics_equal()</code>.</p>
<p>The <code><a href='first_isolate.html'>first_isolate()</a></code> function only uses this function on the same microbial species from the same patient. Using this, e.g. an MRSA will be included after a susceptible <em>S. aureus</em> (MSSA) is found within the same patient episode. Without key antibiotic comparison it would not. See <code><a href='first_isolate.html'>first_isolate()</a></code> for more info.</p>
<p>At default, the antibiotics that are used for <strong>Gram-positive bacteria</strong> are:</p><ul>
<li><p>Amoxicillin</p></li>
@ -395,30 +396,30 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<pre class="examples"><span class='co'># `example_isolates` is a dataset available in the AMR package.</span>
<span class='co'># See ?example_isolates.</span>
<span class='co'># output of the `key_antibiotics` function could be like this:</span>
<span class='co'># output of the `key_antibiotics()` function could be like this:</span>
<span class='va'>strainA</span> <span class='op'>&lt;-</span> <span class='st'>"SSSRR.S.R..S"</span>
<span class='va'>strainB</span> <span class='op'>&lt;-</span> <span class='st'>"SSSIRSSSRSSS"</span>
<span class='co'># can those strings can be compared with:</span>
<span class='co'># those strings can be compared with:</span>
<span class='fu'>key_antibiotics_equal</span><span class='op'>(</span><span class='va'>strainA</span>, <span class='va'>strainB</span><span class='op'>)</span>
<span class='co'># TRUE, because I is ignored (as well as missing values)</span>
<span class='fu'>key_antibiotics_equal</span><span class='op'>(</span><span class='va'>strainA</span>, <span class='va'>strainB</span>, ignore_I <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='co'># FALSE, because I is not ignored and so the 4th value differs</span>
<span class='co'># FALSE, because I is not ignored and so the 4th character differs</span>
<span class='co'># \donttest{</span>
<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
<span class='co'># set key antibiotics to a new variable</span>
<span class='va'>my_patients</span> <span class='op'>&lt;-</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>keyab <span class='op'>=</span> <span class='fu'>key_antibiotics</span><span class='op'>(</span><span class='va'>.</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>keyab <span class='op'>=</span> <span class='fu'>key_antibiotics</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span> <span class='co'># no need to define `x`</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>
<span class='co'># now calculate first isolates</span>
first_regular <span class='op'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span><span class='op'>(</span><span class='va'>.</span>, col_keyantibiotics <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>,
first_regular <span class='op'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span><span class='op'>(</span>col_keyantibiotics <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>,
<span class='co'># and first WEIGHTED isolates</span>
first_weighted <span class='op'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span><span class='op'>(</span><span class='va'>.</span>, col_keyantibiotics <span class='op'>=</span> <span class='st'>"keyab"</span><span class='op'>)</span>
first_weighted <span class='op'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span><span class='op'>(</span>col_keyantibiotics <span class='op'>=</span> <span class='st'>"keyab"</span><span class='op'>)</span>
<span class='op'>)</span>
<span class='co'># Check the difference, in this data set it results in 7% more isolates:</span>
<span class='co'># Check the difference, in this data set it results in a lot more isolates:</span>
<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='va'>my_patients</span><span class='op'>$</span><span class='va'>first_regular</span>, na.rm <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='va'>my_patients</span><span class='op'>$</span><span class='va'>first_weighted</span>, na.rm <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='op'>}</span>