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<p>Data set containing reference data to interpret MIC and disk diffusion to R/SI values, according to international guidelines. Currently implemented guidelines are EUCAST (2013-2022) and CLSI (2013-2022). Use <code><ahref="as.rsi.html">as.rsi()</a></code> to transform MICs or disks measurements to R/SI values.</p>
<p>A <ahref="https://tibble.tidyverse.org/reference/tibble.html"class="external-link">tibble</a> with 18,308 observations and 11 variables:</p><ul><li><p><code>guideline</code><br> Name of the guideline</p></li>
<li><p><code>method</code><br> Either "DISK" or "MIC"</p></li>
<li><p><code>site</code><br> Body site, e.g. "Oral" or "Respiratory"</p></li>
<li><p><code>mo</code><br> Microbial ID, see <code><ahref="as.mo.html">as.mo()</a></code></p></li>
<li><p><code>rank_index</code><br> Taxonomic rank index of <code>mo</code> from 1 (subspecies/infraspecies) to 5 (unknown microorganism)</p></li>
<li><p><code>ab</code><br> Antibiotic ID, see <code><ahref="as.ab.html">as.ab()</a></code></p></li>
<li><p><code>ref_tbl</code><br> Info about where the guideline rule can be found</p></li>
<li><p><code>disk_dose</code><br> Dose of the used disk diffusion method</p></li>
<li><p><code>breakpoint_S</code><br> Lowest MIC value or highest number of millimetres that leads to "S"</p></li>
<li><p><code>breakpoint_R</code><br> Highest MIC value or lowest number of millimetres that leads to "R"</p></li>
<li><p><code>uti</code><br> A <ahref="https://rdrr.io/r/base/logical.html"class="external-link">logical</a> value (<code>TRUE</code>/<code>FALSE</code>) to indicate whether the rule applies to a urinary tract infection (UTI)</p></li>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <ahref="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <ahref="https://github.com/msberends/AMR/tree/main/data-raw"class="external-link">our GitHub repository</a>.</p>
<p>They <strong>allow for machine reading EUCAST and CLSI guidelines</strong>, which is almost impossible with the MS Excel and PDF files distributed by EUCAST and CLSI.</p>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #949494;"># … with 18,298 more rows, 2 more variables: breakpoint_R <dbl>, uti <lgl>, and</span></span>
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<p></p><p><code>AMR</code> (for R). Developed at the <atarget="_blank"href="https://www.rug.nl"class="external-link">University of Groningen</a> in collaboration with non-profit organisations<br><atarget="_blank"href="https://www.certe.nl"class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <atarget="_blank"href="https://www.umcg.nl"class="external-link">University Medical Center Groningen</a>.</p>