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@ -9,7 +9,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9149</small>
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@ -569,7 +569,7 @@ $$p_i = \frac{x_i}{\sum_{j=1}^K x_j}$$</p>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">ureido</span> <span class="op">&lt;-</span> <span class="fu">antibiogram</span><span class="op">(</span><span class="va">example_isolates</span>,</span></span>
<span class="r-in"><span> antibiotics <span class="op">=</span> <span class="fu"><a href="antimicrobial_class_selectors.html">ureidopenicillins</a></span><span class="op">(</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> syndromic_group <span class="op">=</span> <span class="st">"name"</span>,</span></span>
<span class="r-in"><span> syndromic_group <span class="op">=</span> <span class="st">"ward"</span>,</span></span>
<span class="r-in"><span> wisca <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>WISCA must be based on the species level as WISCA parameters are based on</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> this. For that reason, <span style="background-color: #EEEEEE;">mo_transform</span> will be ignored.</span>
@ -584,7 +584,9 @@ $$p_i = \frac{x_i}{\sum_{j=1}^K x_j}$$</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |Syndromic Group |Piperacillin/tazobactam |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |:---------------|:-----------------------|</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |name |73.6% (66-81%) |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |Clinical |78% (70.1-85.7%) |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |ICU |90.4% (83.6-95%) |</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> |Outpatient |91.8% (78.5-98.9%) |</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Generate plots with ggplot2 or base R --------------------------------</span></span></span>