<p>Function <code><ahref="../reference/is_new_episode.html">is_new_episode()</a></code> to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g.<code><ahref="https://dplyr.tidyverse.org/reference/mutate.html">mutate()</a></code>, <code><ahref="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code> and <code><ahref="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code> of the <code>dplyr</code> package:</p>
<p>Functions <code><ahref="../reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><ahref="../reference/mo_property.html">mo_is_gram_positive()</a></code> as wrappers around <code><ahref="../reference/mo_property.html">mo_gramstain()</a></code>. They always return <code>TRUE</code> or <code>FALSE</code> (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria. They can even determine the column with microorganisms themselves when used inside <code>dplyr</code> verbs:</p>
<spanclass="co">#> NOTE: Using column `mo` as input for mo_is_gram_positive()</span></pre></div>
</li>
<li>
<p>Function <code><ahref="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code> to test for intrinsic resistance, based on <ahref="https://www.eucast.org/expert_rules_and_intrinsic_resistance/">EUCAST Intrinsic Resistance and Unusual Phenotypes v3.2</a> from 2020. As with the new <code>mo_is_gram_*()</code> functions, if you have the <code>dplyr</code> package installed the column with microorganisms will be automatically determined when used inside <code>dplyr</code> verbs:</p>
<spanclass="co">#> NOTE: Using column `mo` as input for mo_is_intrinsic_resistant()</span></pre></div>
</li>
</ul>
@ -286,6 +286,7 @@
<code><ahref="../reference/as.rsi.html">as.rsi()</a></code> on a data.frame will not print a message anymore if the values are already clean R/SI values</li>
<li>Fixed a bug where <code><ahref="../reference/as.mo.html">mo_uncertainties()</a></code> would not return the results based on the MO matching score</li>
<li>Fixed a bug where <code><ahref="../reference/as.mo.html">as.mo()</a></code> would not return results for known laboratory codes for microorganisms</li>
<li>Fixed a bug where <code><ahref="../reference/as.ab.html">as.ab()</a></code> would sometimes fail</li>