AMR/docs/reference/ggplot_rsi.html

485 lines
29 KiB
HTML

<!-- Generated by pkgdown: do not edit by hand -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AMR plots with <code>ggplot2</code> — ggplot_rsi • 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" />
<!-- jquery -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script>
<!-- Bootstrap -->
<link href="https://cdnjs.cloudflare.com/ajax/libs/bootswatch/3.3.7/flatly/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script>
<!-- Font Awesome icons -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" integrity="sha256-eZrrJcwDc/3uDhsdt61sL2oOBY362qM3lon1gyExkL0=" crossorigin="anonymous" />
<!-- clipboard.js -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script>
<!-- sticky kit -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/sticky-kit/1.1.3/sticky-kit.min.js" integrity="sha256-c4Rlo1ZozqTPE2RLuvbusY3+SU1pQaJC0TjuhygMipw=" crossorigin="anonymous"></script>
<!-- pkgdown -->
<link href="../pkgdown.css" rel="stylesheet">
<script src="../pkgdown.js"></script>
<!-- docsearch -->
<script src="../docsearch.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/docsearch.js/2.6.1/docsearch.min.css" integrity="sha256-QOSRU/ra9ActyXkIBbiIB144aDBdtvXBcNc3OTNuX/Q=" crossorigin="anonymous" />
<link href="../docsearch.css" rel="stylesheet">
<script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/jquery.mark.min.js" integrity="sha256-4HLtjeVgH0eIB3aZ9mLYF6E8oU5chNdjU6p6rrXpl9U=" crossorigin="anonymous"></script>
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="AMR plots with <code>ggplot2</code> — ggplot_rsi" />
<meta property="og:description" content="Use these functions to create bar plots for antimicrobial resistance analysis. All functions rely on internal ggplot functions." />
<meta property="og:image" content="https://msberends.gitlab.io/AMR/logo.png" />
<meta name="twitter:card" content="summary" />
<!-- 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]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body>
<div class="container template-reference-topic">
<header>
<div class="navbar navbar-default navbar-fixed-top" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</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="Released version">0.5.0.9019</span>
</span>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li>
<a href="../index.html">
<span class="fa fa-home"></span>
Home
</a>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
<span class="fa fa-question-circle"></span>
How to
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="../articles/AMR.html">
<span class="fa fa-directions"></span>
Conduct AMR analysis
</a>
</li>
<li>
<a href="../articles/resistance_predict.html">
<span class="fa fa-dice"></span>
Predict antimicrobial resistance
</a>
</li>
<li>
<a href="../articles/WHONET.html">
<span class="fa fa-globe-americas"></span>
Work with WHONET data
</a>
</li>
<li>
<a href="../articles/SPSS.html">
<span class="fa fa-file-upload"></span>
Import data from SPSS/SAS/Stata
</a>
</li>
<li>
<a href="../articles/EUCAST.html">
<span class="fa fa-exchange-alt"></span>
Apply EUCAST rules
</a>
</li>
<li>
<a href="../reference/mo_property.html">
<span class="fa fa-bug"></span>
Get properties of a microorganism
</a>
</li>
<li>
<a href="../reference/atc_property.html">
<span class="fa fa-capsules"></span>
Get properties of an antibiotic
</a>
</li>
<li>
<a href="../articles/freq.html">
<span class="fa fa-sort-amount-down"></span>
Create frequency tables
</a>
</li>
<li>
<a href="../articles/G_test.html">
<span class="fa fa-clipboard-check"></span>
Use the G-test
</a>
</li>
<li>
<a href="../articles/benchmarks.html">
<span class="fa fa-shipping-fast"></span>
Other: benchmarks
</a>
</li>
</ul>
</li>
<li>
<a href="../reference/">
<span class="fa fa-book-open"></span>
Manual
</a>
</li>
<li>
<a href="../authors.html">
<span class="fa fa-users"></span>
Authors
</a>
</li>
<li>
<a href="../news/">
<span class="far fa far fa-newspaper"></span>
Changelog
</a>
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
<li>
<a href="https://gitlab.com/msberends/AMR">
<span class="fab fa fab fa-gitlab"></span>
Source Code
</a>
</li>
<li>
<a href="../LICENSE-text.html">
<span class="fa fa-book"></span>
Licence
</a>
</li>
</ul>
<form class="navbar-form navbar-right" role="search">
<div class="form-group">
<input type="search" class="form-control" name="search-input" id="search-input" placeholder="Search..." aria-label="Search for..." autocomplete="off">
</div>
</form>
</div><!--/.nav-collapse -->
</div><!--/.container -->
</div><!--/.navbar -->
</header>
<div class="row">
<div class="col-md-9 contents">
<div class="page-header">
<h1>AMR plots with <code>ggplot2</code></h1>
<div class="hidden name"><code>ggplot_rsi.Rd</code></div>
</div>
<div class="ref-description">
<p>Use these functions to create bar plots for antimicrobial resistance analysis. All functions rely on internal <code><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></code> functions.</p>
</div>
<pre class="usage"><span class='fu'>ggplot_rsi</span>(<span class='no'>data</span>, <span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"Antibiotic"</span>,
<span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"Interpretation"</span>, <span class='kw'>facet</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>breaks</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/seq'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>),
<span class='kw'>limits</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"official"</span>, <span class='kw'>fun</span> <span class='kw'>=</span> <span class='no'>count_df</span>,
<span class='kw'>nrow</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>datalabels</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>datalabels.size</span> <span class='kw'>=</span> <span class='fl'>3</span>,
<span class='kw'>datalabels.colour</span> <span class='kw'>=</span> <span class='st'>"grey15"</span>, <span class='no'>...</span>)
<span class='fu'>geom_rsi</span>(<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"Antibiotic"</span>, <span class='st'>"Interpretation"</span>),
<span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"Interpretation"</span>, <span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"official"</span>, <span class='kw'>fun</span> <span class='kw'>=</span> <span class='no'>count_df</span>,
<span class='no'>...</span>)
<span class='fu'>facet_rsi</span>(<span class='kw'>facet</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"Interpretation"</span>, <span class='st'>"Antibiotic"</span>), <span class='kw'>nrow</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
<span class='fu'>scale_y_percent</span>(<span class='kw'>breaks</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/seq'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>), <span class='kw'>limits</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
<span class='fu'>scale_rsi_colours</span>()
<span class='fu'>theme_rsi</span>()
<span class='fu'>labels_rsi_count</span>(<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"Antibiotic"</span>,
<span class='kw'>datalabels.size</span> <span class='kw'>=</span> <span class='fl'>3</span>, <span class='kw'>datalabels.colour</span> <span class='kw'>=</span> <span class='st'>"grey15"</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>data</th>
<td><p>a <code>data.frame</code> with column(s) of class <code>"rsi"</code> (see <code><a href='as.rsi.html'>as.rsi</a></code>)</p></td>
</tr>
<tr>
<th>position</th>
<td><p>position adjustment of bars, either <code>"fill"</code> (default when <code>fun</code> is <code><a href='count.html'>count_df</a></code>), <code>"stack"</code> (default when <code>fun</code> is <code><a href='portion.html'>portion_df</a></code>) or <code>"dodge"</code></p></td>
</tr>
<tr>
<th>x</th>
<td><p>variable to show on x axis, either <code>"Antibiotic"</code> (default) or <code>"Interpretation"</code> or a grouping variable</p></td>
</tr>
<tr>
<th>fill</th>
<td><p>variable to categorise using the plots legend, either <code>"Antibiotic"</code> (default) or <code>"Interpretation"</code> or a grouping variable</p></td>
</tr>
<tr>
<th>facet</th>
<td><p>variable to split plots by, either <code>"Interpretation"</code> (default) or <code>"Antibiotic"</code> or a grouping variable</p></td>
</tr>
<tr>
<th>breaks</th>
<td><p>numeric vector of positions</p></td>
</tr>
<tr>
<th>limits</th>
<td><p>numeric vector of length two providing limits of the scale, use <code>NA</code> to refer to the existing minimum or maximum</p></td>
</tr>
<tr>
<th>translate_ab</th>
<td><p>a column name of the <code><a href='antibiotics.html'>antibiotics</a></code> data set to translate the antibiotic abbreviations into, using <code><a href='abname.html'>abname</a></code>. Default behaviour is to translate to official names according to the WHO. Use <code>translate_ab = FALSE</code> to disable translation.</p></td>
</tr>
<tr>
<th>fun</th>
<td><p>function to transform <code>data</code>, either <code><a href='count.html'>count_df</a></code> (default) or <code><a href='portion.html'>portion_df</a></code></p></td>
</tr>
<tr>
<th>nrow</th>
<td><p>(when using <code>facet</code>) number of rows</p></td>
</tr>
<tr>
<th>datalabels</th>
<td><p>show datalabels using <code>labels_rsi_count</code>, will at default only be shown when <code>fun = count_df</code></p></td>
</tr>
<tr>
<th>datalabels.size</th>
<td><p>size of the datalabels</p></td>
</tr>
<tr>
<th>datalabels.colour</th>
<td><p>colour of the datalabels</p></td>
</tr>
<tr>
<th>...</th>
<td><p>other parameters passed on to <code>geom_rsi</code></p></td>
</tr>
</table>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>At default, the names of antibiotics will be shown on the plots using <code><a href='abname.html'>abname</a></code>. This can be set with the option <code>get_antibiotic_names</code> (a logical value), so change it e.g. to <code>FALSE</code> with <code><a href='https://www.rdocumentation.org/packages/base/topics/options'>options(get_antibiotic_names = FALSE)</a></code>.</p>
<p><strong>The functions</strong><br />
<code>geom_rsi</code> will take any variable from the data that has an <code>rsi</code> class (created with <code><a href='as.rsi.html'>as.rsi</a></code>) using <code>fun</code> (<code><a href='count.html'>count_df</a></code> at default, can also be <code><a href='portion.html'>portion_df</a></code>) and will plot bars with the percentage R, I and S. The default behaviour is to have the bars stacked and to have the different antibiotics on the x axis.</p>
<p><code>facet_rsi</code> creates 2d plots (at default based on S/I/R) using <code><a href='https://ggplot2.tidyverse.org/reference/facet_wrap.html'>facet_wrap</a></code>.</p>
<p><code>scale_y_percent</code> transforms the y axis to a 0 to 100% range using <code>scale_continuous</code>.</p>
<p><code>scale_rsi_colours</code> sets colours to the bars: green for S, yellow for I and red for R, using <code>scale_brewer</code>.</p>
<p><code>theme_rsi</code> is a <code>ggplot <a href='https://ggplot2.tidyverse.org/reference/theme.html'>theme</a></code> with minimal distraction.</p>
<p><code>labels_rsi_count</code> print datalabels on the bars with percentage and amount of isolates using <code><a href='https://ggplot2.tidyverse.org/reference/geom_text.html'>geom_text</a></code></p>
<p><code>ggplot_rsi</code> is a wrapper around all above functions that uses data as first input. This makes it possible to use this function after a pipe (<code>%&gt;%</code>). See Examples.</p>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on our website!</h2>
<p>On our website <a href='https://msberends.gitlab.io/AMR'>https://msberends.gitlab.io/AMR</a> you can find <a href='https://msberends.gitlab.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.gitlab.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.gitlab.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>.</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># NOT RUN {</span>
<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>dplyr</span>)
<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>ggplot2</span>)
<span class='co'># get antimicrobial results for drugs against a UTI:</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>amox</span>, <span class='no'>nitr</span>, <span class='no'>fosf</span>, <span class='no'>trim</span>, <span class='no'>cipr</span>)) +
<span class='fu'>geom_rsi</span>()
<span class='co'># prettify the plot using some additional functions:</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='no'>septic_patients</span>[, <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"amox"</span>, <span class='st'>"nitr"</span>, <span class='st'>"fosf"</span>, <span class='st'>"trim"</span>, <span class='st'>"cipr"</span>)]
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='no'>df</span>) +
<span class='fu'>geom_rsi</span>() +
<span class='fu'>scale_y_percent</span>() +
<span class='fu'>scale_rsi_colours</span>() +
<span class='fu'>labels_rsi_count</span>() +
<span class='fu'>theme_rsi</span>()
<span class='co'># or better yet, simplify this using the wrapper function - a single command:</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>amox</span>, <span class='no'>nitr</span>, <span class='no'>fosf</span>, <span class='no'>trim</span>, <span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>()
<span class='co'># get only portions and no counts:</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>amox</span>, <span class='no'>nitr</span>, <span class='no'>fosf</span>, <span class='no'>trim</span>, <span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>fun</span> <span class='kw'>=</span> <span class='no'>portion_df</span>)
<span class='co'># add other ggplot2 parameters as you like:</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>amox</span>, <span class='no'>nitr</span>, <span class='no'>fosf</span>, <span class='no'>trim</span>, <span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>width</span> <span class='kw'>=</span> <span class='fl'>0.5</span>,
<span class='kw'>colour</span> <span class='kw'>=</span> <span class='st'>"black"</span>,
<span class='kw'>size</span> <span class='kw'>=</span> <span class='fl'>1</span>,
<span class='kw'>linetype</span> <span class='kw'>=</span> <span class='fl'>2</span>,
<span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.25</span>)
<span class='co'># resistance of ciprofloxacine per age group</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>first_isolate</span> <span class='kw'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='no'>.</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>first_isolate</span> <span class='kw'>==</span> <span class='fl'>TRUE</span>,
<span class='no'>mo</span> <span class='kw'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='kw'>%&gt;%</span>
<span class='co'># `age_group` is also a function of this package:</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>age_group</span> <span class='kw'>=</span> <span class='fu'><a href='age_groups.html'>age_groups</a></span>(<span class='no'>age</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>age_group</span>,
<span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"age_group"</span>)
<span class='co'># }</span><span class='co'># NOT RUN {</span>
<span class='co'># for colourblind mode, use divergent colours from the viridis package:</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>amox</span>, <span class='no'>nitr</span>, <span class='no'>fosf</span>, <span class='no'>trim</span>, <span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>() + <span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_fill_viridis_d</a></span>()
<span class='co'># it also supports groups (don't forget to use the group var on `x` or `facet`):</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>hospital_id</span>, <span class='no'>amox</span>, <span class='no'>nitr</span>, <span class='no'>fosf</span>, <span class='no'>trim</span>, <span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='no'>hospital_id</span>,
<span class='kw'>facet</span> <span class='kw'>=</span> <span class='no'>Antibiotic</span>,
<span class='kw'>nrow</span> <span class='kw'>=</span> <span class='fl'>1</span>) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/labs.html'>labs</a></span>(<span class='kw'>title</span> <span class='kw'>=</span> <span class='st'>"AMR of Anti-UTI Drugs Per Hospital"</span>,
<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"Hospital"</span>)
<span class='co'># genuine analysis: check 2 most prevalent microorganisms</span>
<span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
<span class='co'># create new bacterial ID's, with all CoNS under the same group (Becker et al.)</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='no'>mo</span>, <span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)) <span class='kw'>%&gt;%</span>
<span class='co'># filter on top three bacterial ID's</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>mo</span> <span class='kw'>%in%</span> <span class='fu'><a href='freq.html'>top_freq</a></span>(<span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>.</span>$<span class='no'>mo</span>), <span class='fl'>3</span>)) <span class='kw'>%&gt;%</span>
<span class='co'># determine first isolates</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>first_isolate</span> <span class='kw'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='no'>.</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='st'>"date"</span>,
<span class='kw'>col_patient_id</span> <span class='kw'>=</span> <span class='st'>"patient_id"</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='st'>"mo"</span>)) <span class='kw'>%&gt;%</span>
<span class='co'># filter on first isolates</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>first_isolate</span> <span class='kw'>==</span> <span class='fl'>TRUE</span>) <span class='kw'>%&gt;%</span>
<span class='co'># get short MO names (like "E. coli")</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='mo_property.html'>mo_shortname</a></span>(<span class='no'>mo</span>, <span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)) <span class='kw'>%&gt;%</span>
<span class='co'># select this short name and some antiseptic drugs</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>mo</span>, <span class='no'>cfur</span>, <span class='no'>gent</span>, <span class='no'>cipr</span>) <span class='kw'>%&gt;%</span>
<span class='co'># group by MO</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>mo</span>) <span class='kw'>%&gt;%</span>
<span class='co'># plot the thing, putting MOs on the facet</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='no'>Antibiotic</span>,
<span class='kw'>facet</span> <span class='kw'>=</span> <span class='no'>mo</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>nrow</span> <span class='kw'>=</span> <span class='fl'>1</span>) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/labs.html'>labs</a></span>(<span class='kw'>title</span> <span class='kw'>=</span> <span class='st'>"AMR of Top Three Microorganisms In Blood Culture Isolates"</span>,
<span class='kw'>subtitle</span> <span class='kw'>=</span> <span class='st'>"Only First Isolates, CoNS grouped according to Becker et al. (2014)"</span>,
<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"Microorganisms"</span>)
<span class='co'># }</span></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#arguments">Arguments</a></li>
<li><a href="#details">Details</a></li>
<li><a href="#read-more-on-our-website-">Read more on our website!</a></li>
<li><a href="#examples">Examples</a></li>
</ul>
</div>
</div>
<footer>
<div class="copyright">
<p>Developed by <a href='https://www.rug.nl/staff/m.s.berends/'>Matthijs S. Berends</a>, <a href='https://www.rug.nl/staff/c.f.luz/'>Christian F. Luz</a>, <a href='https://www.rug.nl/staff/c.glasner/'>Corinna Glasner</a>, <a href='https://www.rug.nl/staff/a.w.friedrich/'>Alex W. Friedrich</a>, <a href='https://www.rug.nl/staff/b.sinha/'>Bhanu N. M. Sinha</a>.</p>
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.3.0.</p>
</div>
</footer>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/docsearch.js/2.6.1/docsearch.min.js" integrity="sha256-GKvGqXDznoRYHCwKXGnuchvKSwmx9SRMrZOTh2g4Sb0=" crossorigin="anonymous"></script>
<script>
docsearch({
apiKey: 'f737050abfd4d726c63938e18f8c496e',
indexName: 'amr',
inputSelector: 'input#search-input.form-control',
transformData: function(hits) {
return hits.map(function (hit) {
hit.url = updateHitURL(hit);
return hit;
});
}
});
</script>
</body>
</html>