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reference/antimicrobial_selectors.html
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@ -9,7 +9,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
library(dplyr)
my_data_with_all_these_columns %>%
select(cephalosporins())
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@ -17,7 +17,7 @@ my_data_with_all_these_columns %&amp;gt;%
<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="">2.1.1.9234</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9235</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@ -202,7 +202,7 @@ my_data_with_all_these_columns %&amp;gt;%
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>These functions can be used in data set calls for selecting columns and filtering rows. They work with base <span style="R">R</span>, the Tidyverse, and <code>data.table</code>. They are heavily inspired by the <a href="https://tidyselect.r-lib.org/reference/language.html" class="external-link">Tidyverse selection helpers</a> such as <code><a href="https://tidyselect.r-lib.org/reference/everything.html" class="external-link">everything()</a></code>, but are not limited to <code>dplyr</code> verbs. Nonetheless, they are very convenient to use with <code>dplyr</code> functions such as <code><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise()</a></code>, see <em>Examples</em>.</p>
<p>All selectors can also be used in <code>tidymodels</code> packages such as <code>recipe</code> and <code>parsnip</code>. See for more info <a href="https://msberends.github.io/AMR/articles/AMR_with_tidymodels.html">our tutorial</a> on using antimicrobial selectors for predictive modelling.</p>
<p>All selectors can also be used in <code>tidymodels</code> packages such as <code>recipe</code> and <code>parsnip</code>. See for more info <a href="https://amr-for-r.org/articles/AMR_with_tidymodels.html">our tutorial</a> on using antimicrobial selectors for predictive modelling.</p>
<p>All columns in the data in which these functions are called will be searched for known antimicrobial names, abbreviations, brand names, and codes (ATC, EARS-Net, WHO, etc.) according to the <a href="antimicrobials.html">antimicrobials</a> data set. This means that a selector such as <code>aminoglycosides()</code> will pick up column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc.</p>
<p>The <code>amr_class()</code> function can be used to filter/select on a manually defined antimicrobial class. It searches for results in the <a href="antimicrobials.html">antimicrobials</a> data set within the columns <code>group</code>, <code>atc_group1</code> and <code>atc_group2</code>.</p>
<p>The <code>administrable_per_os()</code> and <code>administrable_iv()</code> functions also rely on the <a href="antimicrobials.html">antimicrobials</a> data set - antimicrobials will be matched where a DDD (defined daily dose) for resp. oral and IV treatment is available in the <a href="antimicrobials.html">antimicrobials</a> data set.</p>
@ -252,7 +252,7 @@ my_data_with_all_these_columns %&amp;gt;%
<p>All reference data sets in the AMR package - including information on microorganisms, antimicrobials, and clinical breakpoints - are freely available for download in multiple formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, and Stata.</p>
<p>For maximum compatibility, we also provide machine-readable, tab-separated plain text files suitable for use in any software, including laboratory information systems.</p>
<p>Visit <a href="https://msberends.github.io/AMR/articles/datasets.html">our website for direct download links</a>, or explore the actual files in <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
<p>Visit <a href="https://amr-for-r.org/articles/datasets.html">our website for direct download links</a>, or explore the actual files in <a href="https://github.com/msberends/AMR/tree/main/data-raw" class="external-link">our GitHub repository</a>.</p>
</div>
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