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<h1>Split Ages into Age Groups</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/main/R/age.R'><code>R/age.R</code></a></small>
<div class="hidden name"><code>age_groups.Rd</code></div>
</div>
<div class="ref-description">
<p>Split ages into age groups defined by the <code>split</code> argument. This allows for easier demographic (antimicrobial resistance) analysis.</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>x</span>, split_at <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='fl'>12</span>, <span class='fl'>25</span>, <span class='fl'>55</span>, <span class='fl'>75</span><span class='op'>)</span>, na.rm <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></code></pre></div>
<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>x</th>
<td><p>age, e.g. calculated with <code><a href='age.html'>age()</a></code></p></td>
</tr>
<tr>
<th>split_at</th>
<td><p>values to split <code>x</code> at, defaults to age groups 0-11, 12-24, 25-54, 55-74 and 75+. See <em>Details</em>.</p></td>
</tr>
<tr>
<th>na.rm</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether missing values should be removed</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>Ordered <a href='https://rdrr.io/r/base/factor.html'>factor</a></p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>To split ages, the input for the <code>split_at</code> argument can be:</p><ul>
<li><p>A <a href='https://rdrr.io/r/base/numeric.html'>numeric</a> vector. A value of e.g. <code><a href='https://rdrr.io/r/base/c.html'>c(10, 20)</a></code> will split <code>x</code> on 0-9, 10-19 and 20+. A value of only <code>50</code> will split <code>x</code> on 0-49 and 50+.
The default is to split on young children (0-11), youth (12-24), young adults (25-54), middle-aged adults (55-74) and elderly (75+).</p></li>
<li><p>A character:</p><ul>
<li><p><code>"children"</code> or <code>"kids"</code>, equivalent of: <code><a href='https://rdrr.io/r/base/c.html'>c(0, 1, 2, 4, 6, 13, 18)</a></code>. This will split on 0, 1, 2-3, 4-5, 6-12, 13-17 and 18+.</p></li>
<li><p><code>"elderly"</code> or <code>"seniors"</code>, equivalent of: <code><a href='https://rdrr.io/r/base/c.html'>c(65, 75, 85)</a></code>. This will split on 0-64, 65-74, 75-84, 85+.</p></li>
<li><p><code>"fives"</code>, equivalent of: <code>1:20 * 5</code>. This will split on 0-4, 5-9, ..., 95-99, 100+.</p></li>
<li><p><code>"tens"</code>, equivalent of: <code>1:10 * 10</code>. This will split on 0-9, 10-19, ..., 90-99, 100+.</p></li>
</ul></li>
</ul>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>
<p><img src='figures/lifecycle_stable.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</strong>. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.</p>
<p>If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.</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 data 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>.</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p>To determine ages, based on one or more reference dates, use the <code><a href='age.html'>age()</a></code> function.</p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<div class="ref-examples sourceCode"><pre class='sourceCode r'><code><span class='va'>ages</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>3</span>, <span class='fl'>8</span>, <span class='fl'>16</span>, <span class='fl'>54</span>, <span class='fl'>31</span>, <span class='fl'>76</span>, <span class='fl'>101</span>, <span class='fl'>43</span>, <span class='fl'>21</span><span class='op'>)</span>
<span class='co'># split into 0-49 and 50+</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, <span class='fl'>50</span><span class='op'>)</span>
<span class='co'># split into 0-19, 20-49 and 50+</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>20</span>, <span class='fl'>50</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># split into groups of ten years</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, <span class='fl'>1</span><span class='op'>:</span><span class='fl'>10</span> <span class='op'>*</span> <span class='fl'>10</span><span class='op'>)</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, split_at <span class='op'>=</span> <span class='st'>"tens"</span><span class='op'>)</span>
<span class='co'># split into groups of five years</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, <span class='fl'>1</span><span class='op'>:</span><span class='fl'>20</span> <span class='op'>*</span> <span class='fl'>5</span><span class='op'>)</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, split_at <span class='op'>=</span> <span class='st'>"fives"</span><span class='op'>)</span>
<span class='co'># split specifically for children</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>1</span>, <span class='fl'>2</span>, <span class='fl'>4</span>, <span class='fl'>6</span>, <span class='fl'>13</span>, <span class='fl'>17</span><span class='op'>)</span><span class='op'>)</span>
<span class='fu'>age_groups</span><span class='op'>(</span><span class='va'>ages</span>, <span class='st'>"children"</span><span class='op'>)</span>
<span class='co'># \donttest{</span>
<span class='co'># resistance of ciprofloxacin per age group</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='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></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'>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='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'>age_groups</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'><a href='ggplot_rsi.html'>ggplot_rsi</a></span><span class='op'>(</span>x <span class='op'>=</span> <span class='st'>"age_group"</span>, minimum <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>
<span class='op'>}</span>
<span class='co'># }</span>
</code></pre></div>
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