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<h1>AMR plots with <code>ggplot2</code></h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/ggplot_rsi.R'><code>R/ggplot_rsi.R</code></a></small>
<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 <a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot2</a> functions.</p>
</div>
<pre class="usage"><span class='fu'>ggplot_rsi</span><span class='op'>(</span>
<span class='va'>data</span>,
position <span class='op'>=</span> <span class='cn'>NULL</span>,
x <span class='op'>=</span> <span class='st'>"antibiotic"</span>,
fill <span class='op'>=</span> <span class='st'>"interpretation"</span>,
facet <span class='op'>=</span> <span class='cn'>NULL</span>,
breaks <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span><span class='op'>)</span>,
limits <span class='op'>=</span> <span class='cn'>NULL</span>,
translate_ab <span class='op'>=</span> <span class='st'>"name"</span>,
combine_SI <span class='op'>=</span> <span class='cn'>TRUE</span>,
combine_IR <span class='op'>=</span> <span class='cn'>FALSE</span>,
minimum <span class='op'>=</span> <span class='fl'>30</span>,
language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>,
nrow <span class='op'>=</span> <span class='cn'>NULL</span>,
colours <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>S <span class='op'>=</span> <span class='st'>"#61a8ff"</span>, SI <span class='op'>=</span> <span class='st'>"#61a8ff"</span>, I <span class='op'>=</span> <span class='st'>"#61f7ff"</span>, IR <span class='op'>=</span> <span class='st'>"#ff6961"</span>, R <span class='op'>=</span>
<span class='st'>"#ff6961"</span><span class='op'>)</span>,
datalabels <span class='op'>=</span> <span class='cn'>TRUE</span>,
datalabels.size <span class='op'>=</span> <span class='fl'>2.5</span>,
datalabels.colour <span class='op'>=</span> <span class='st'>"grey15"</span>,
title <span class='op'>=</span> <span class='cn'>NULL</span>,
subtitle <span class='op'>=</span> <span class='cn'>NULL</span>,
caption <span class='op'>=</span> <span class='cn'>NULL</span>,
x.title <span class='op'>=</span> <span class='st'>"Antimicrobial"</span>,
y.title <span class='op'>=</span> <span class='st'>"Proportion"</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>geom_rsi</span><span class='op'>(</span>
position <span class='op'>=</span> <span class='cn'>NULL</span>,
x <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"antibiotic"</span>, <span class='st'>"interpretation"</span><span class='op'>)</span>,
fill <span class='op'>=</span> <span class='st'>"interpretation"</span>,
translate_ab <span class='op'>=</span> <span class='st'>"name"</span>,
minimum <span class='op'>=</span> <span class='fl'>30</span>,
language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>,
combine_SI <span class='op'>=</span> <span class='cn'>TRUE</span>,
combine_IR <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>facet_rsi</span><span class='op'>(</span>facet <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"interpretation"</span>, <span class='st'>"antibiotic"</span><span class='op'>)</span>, nrow <span class='op'>=</span> <span class='cn'>NULL</span><span class='op'>)</span>
<span class='fu'>scale_y_percent</span><span class='op'>(</span>breaks <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span><span class='op'>)</span>, limits <span class='op'>=</span> <span class='cn'>NULL</span><span class='op'>)</span>
<span class='fu'>scale_rsi_colours</span><span class='op'>(</span>
colours <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>S <span class='op'>=</span> <span class='st'>"#61a8ff"</span>, SI <span class='op'>=</span> <span class='st'>"#61a8ff"</span>, I <span class='op'>=</span> <span class='st'>"#61f7ff"</span>, IR <span class='op'>=</span> <span class='st'>"#ff6961"</span>, R <span class='op'>=</span>
<span class='st'>"#ff6961"</span><span class='op'>)</span>
<span class='op'>)</span>
<span class='fu'>theme_rsi</span><span class='op'>(</span><span class='op'>)</span>
<span class='fu'>labels_rsi_count</span><span class='op'>(</span>
position <span class='op'>=</span> <span class='cn'>NULL</span>,
x <span class='op'>=</span> <span class='st'>"antibiotic"</span>,
translate_ab <span class='op'>=</span> <span class='st'>"name"</span>,
minimum <span class='op'>=</span> <span class='fl'>30</span>,
language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>,
combine_SI <span class='op'>=</span> <span class='cn'>TRUE</span>,
combine_IR <span class='op'>=</span> <span class='cn'>FALSE</span>,
datalabels.size <span class='op'>=</span> <span class='fl'>3</span>,
datalabels.colour <span class='op'>=</span> <span class='st'>"grey15"</span>
<span class='op'>)</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 <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with column(s) of class <code><a href='as.rsi.html'>rsi</a></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>, <code>"stack"</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 <a href='antibiotics.html'>antibiotics</a> data set to translate the antibiotic abbreviations to, using <code><a href='ab_property.html'>ab_property()</a></code>. Use a value</p></td>
</tr>
<tr>
<th>combine_SI</th>
<td><p>a logical to indicate whether all values of S and I must be merged into one, so the output only consists of S+I vs. R (susceptible vs. resistant). This used to be the parameter <code>combine_IR</code>, but this now follows the redefinition by EUCAST about the interpretion of I (increased exposure) in 2019, see section 'Interpretation of S, I and R' below. Default is <code>TRUE</code>.</p></td>
</tr>
<tr>
<th>combine_IR</th>
<td><p>a logical to indicate whether all values of I and R must be merged into one, so the output only consists of S vs. I+R (susceptible vs. non-susceptible). This is outdated, see parameter <code>combine_SI</code>.</p></td>
</tr>
<tr>
<th>minimum</th>
<td><p>the minimum allowed number of available (tested) isolates. Any isolate count lower than <code>minimum</code> will return <code>NA</code> with a warning. The default number of <code>30</code> isolates is advised by the Clinical and Laboratory Standards Institute (CLSI) as best practice, see Source.</p></td>
</tr>
<tr>
<th>language</th>
<td><p>language of the returned text, defaults to system language (see <code><a href='translate.html'>get_locale()</a></code>) and can also be set with <code><a href='https://rdrr.io/r/base/options.html'>getOption("AMR_locale")</a></code>. Use <code>language = NULL</code> or <code>language = ""</code> to prevent translation.</p></td>
</tr>
<tr>
<th>nrow</th>
<td><p>(when using <code>facet</code>) number of rows</p></td>
</tr>
<tr>
<th>colours</th>
<td><p>a named vector with colours for the bars. The names must be one or more of: S, SI, I, IR, R or be <code>FALSE</code> to use default <a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot2</a> colours.</p></td>
</tr>
<tr>
<th>datalabels</th>
<td><p>show datalabels using <code>labels_rsi_count()</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>title</th>
<td><p>text to show as title of the plot</p></td>
</tr>
<tr>
<th>subtitle</th>
<td><p>text to show as subtitle of the plot</p></td>
</tr>
<tr>
<th>caption</th>
<td><p>text to show as caption of the plot</p></td>
</tr>
<tr>
<th>x.title</th>
<td><p>text to show as x axis description</p></td>
</tr>
<tr>
<th>y.title</th>
<td><p>text to show as y axis description</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='ab_property.html'>ab_name()</a></code>. This can be set with the <code>translate_ab</code> parameter. See <code><a href='count.html'>count_df()</a></code>.</p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>The functions</h3>
<p><code>geom_rsi()</code> will take any variable from the data that has an <code><a href='as.rsi.html'>rsi</a></code> class (created with <code><a href='as.rsi.html'>as.rsi()</a></code>) using <code><a href='proportion.html'>rsi_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'>ggplot2::facet_wrap()</a></code>.</p>
<p><code>scale_y_percent()</code> transforms the y axis to a 0 to 100% range using <code><a href='https://ggplot2.tidyverse.org/reference/scale_continuous.html'>ggplot2::scale_y_continuous()</a></code>.</p>
<p><code>scale_rsi_colours()</code> sets colours to the bars: pastel blue for S, pastel turquoise for I and pastel red for R, using <code><a href='https://ggplot2.tidyverse.org/reference/scale_manual.html'>ggplot2::scale_fill_manual()</a></code>.</p>
<p><code>theme_rsi()</code> is a [ggplot2 theme][<code><a href='https://ggplot2.tidyverse.org/reference/theme.html'>ggplot2::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'>ggplot2::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="maturing-lifecycle"><a class="anchor" href="#maturing-lifecycle"></a>Maturing lifecycle</h2>
<p><img src='figures/lifecycle_maturing.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing</strong>. The unlying code of a maturing function has been roughed out, but finer details might still change. Since this function needs wider usage and more extensive testing, you are very welcome <a href='https://github.com/msberends/AMR/issues'>to suggest changes at our repository</a> or <a href='AMR.html'>write us an email (see section 'Contact Us')</a>.</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.github.io/AMR/'>https://msberends.github.io/AMR/</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference/'>complete documentation of all functions</a> and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><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='http://ggplot2.tidyverse.org'>"ggplot2"</a></span><span class='op'>)</span> <span class='op'>&amp;</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'># 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='op'>(</span><span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'>geom_rsi</span><span class='op'>(</span><span class='op'>)</span>
<span class='co'># prettify the plot using some additional functions:</span>
<span class='va'>df</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/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span><span class='op'>(</span><span class='va'>df</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'>geom_rsi</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'>scale_y_percent</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'>scale_rsi_colours</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'>labels_rsi_count</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'>theme_rsi</span><span class='op'>(</span><span class='op'>)</span>
<span class='co'># or better yet, simplify this using the wrapper function - a single command:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span><span class='op'>)</span>
<span class='co'># get only proportions and no counts:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>datalabels <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='co'># add other ggplot2 parameters as you like:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>width <span class='op'>=</span> <span class='fl'>0.5</span>,
colour <span class='op'>=</span> <span class='st'>"black"</span>,
size <span class='op'>=</span> <span class='fl'>1</span>,
linetype <span class='op'>=</span> <span class='fl'>2</span>,
alpha <span class='op'>=</span> <span class='fl'>0.25</span><span class='op'>)</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>colours <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>SI <span class='op'>=</span> <span class='st'>"yellow"</span><span class='op'>)</span><span class='op'>)</span>
<span class='op'>}</span>
<span class='co'># \donttest{</span>
<span class='co'># resistance of ciprofloxacine per age group</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>first_isolate <span class='op'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></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/filter.html'>filter</a></span><span class='op'>(</span><span class='va'>first_isolate</span> <span class='op'>==</span> <span class='cn'>TRUE</span>,
<span class='va'>mo</span> <span class='op'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span><span class='op'>(</span><span class='st'>"E. coli"</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='co'># age_groups() is also a function in this AMR package:</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span><span class='op'>(</span>age_group <span class='op'>=</span> <span class='fu'><a href='age_groups.html'>age_groups</a></span><span class='op'>(</span><span class='va'>age</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>age_group</span>,
<span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>x <span class='op'>=</span> <span class='st'>"age_group"</span><span class='op'>)</span>
<span class='co'># for colourblind mode, use divergent colours from the viridis package:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_fill_viridis_d</a></span><span class='op'>(</span><span class='op'>)</span>
<span class='co'># a shorter version which also adjusts data label colours:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>colours <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='co'># it also supports groups (don't forget to use the group var on `x` or `facet`):</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>hospital_id</span>, <span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span><span class='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>x <span class='op'>=</span> <span class='st'>"hospital_id"</span>,
facet <span class='op'>=</span> <span class='st'>"antibiotic"</span>,
nrow <span class='op'>=</span> <span class='fl'>1</span>,
title <span class='op'>=</span> <span class='st'>"AMR of Anti-UTI Drugs Per Hospital"</span>,
x.title <span class='op'>=</span> <span class='st'>"Hospital"</span>,
datalabels <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='co'># }</span>
</pre>
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