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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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<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="">2.1.1.9066</small>
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<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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@ -95,7 +95,7 @@
website update since they are based on randomly created values and the
page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
Markdown</a>. However, the methodology remains unchanged. This page was
generated on 16 July 2024.</p>
generated on 19 September 2024.</p>
<div class="section level2">
<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
</h2>
@ -151,21 +151,21 @@ make the structure of your data generally look like this:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2024-07-16</td>
<td align="center">2024-09-19</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
</tr>
<tr class="even">
<td align="center">2024-07-16</td>
<td align="center">2024-09-19</td>
<td align="center">abcd</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
</tr>
<tr class="odd">
<td align="center">2024-07-16</td>
<td align="center">2024-09-19</td>
<td align="center">efgh</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>

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<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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@ -29,7 +29,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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31
articles/datasets.html
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@ -29,7 +29,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -84,7 +84,7 @@
<main id="main" class="col-md-9"><div class="page-header">
<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
<h4 data-toc-skip class="date">16 July 2024</h4>
<h4 data-toc-skip class="date">19 September 2024</h4>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
<div class="d-none name"><code>datasets.Rmd</code></div>
@ -116,7 +116,7 @@ column names:<br><em>mo</em>, <em>fullname</em>, <em>status</em>, <em>kingdom</e
<em>snomed</em>.</p>
<p>This data set is in R available as <code>microorganisms</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 16 July 2024 12:51:57 UTC. Find more info
<p>It was last updated on 17 July 2024 12:29:55 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@ -124,7 +124,7 @@ about the structure of this data set <a href="https://msberends.github.io/AMR/re
R Data Structure (RDS) file</a> (1.6 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.txt" class="external-link">tab-separated
text file</a> (15.9 MB)<br>
text file</a> (16 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.xlsx" class="external-link">Microsoft
Excel workbook</a> (7.8 MB)<br>
@ -155,15 +155,22 @@ all SNOMED codes as comma separated values.</p>
<h3 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a>
</h3>
<p>This data set contains the full microbial taxonomy of six kingdoms
from the List of Prokaryotic names with Standing in Nomenclature (LPSN)
and the Global Biodiversity Information Facility (GBIF):</p>
from the List of Prokaryotic names with Standing in Nomenclature (LPSN),
MycoBank, and the Global Biodiversity Information Facility (GBIF):</p>
<ul>
<li>Parte, AC <em>et al.</em> (2020). <strong>List of Prokaryotic names
with Standing in Nomenclature (LPSN) moves to the DSMZ.</strong>
International Journal of Systematic and Evolutionary Microbiology, 70,
5607-5612; . Accessed from <a href="https://lpsn.dsmz.de" class="external-link uri">https://lpsn.dsmz.de</a> on June 24th, 2024.</li>
<li>Vincent, R <em>et al</em> (2013). <strong>MycoBank gearing up for
new horizons.</strong> IMA Fungus, 4(2), 371-9; . Accessed from <a href="https://www.mycobank.org" class="external-link uri">https://www.mycobank.org</a>
on June 24th, 2024.</li>
<li>GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset .
Accessed from <a href="https://www.gbif.org" class="external-link uri">https://www.gbif.org</a> on June 24th, 2024.</li>
<li>Reimer, LC <em>et al.</em> (2022). <strong><em>BacDive</em> in 2022:
the knowledge base for standardized bacterial and archaeal
data.</strong> Nucleic Acids Res., 50(D1):D741-D74; . Accessed from <a href="https://bacdive.dsmz.de" class="external-link uri">https://bacdive.dsmz.de</a>
on July 16th, 2024.</li>
<li>Public Health Information Network Vocabulary Access and Distribution
System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value
Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link uri">https://phinvads.cdc.gov</a>
@ -422,13 +429,13 @@ Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a hre
<td align="center"></td>
<td align="center">GBIF</td>
<td align="center"></td>
<td align="center"></td>
<td align="center">776057</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center">12233256</td>
<td align="center"></td>
<td align="center">11286021</td>
<td align="center"></td>
<td align="center">1.0</td>
<td align="center"></td>
@ -448,7 +455,7 @@ column names:<br><em>ab</em>, <em>cid</em>, <em>name</em>, <em>group</em>, <em>a
<em>iv_ddd</em>, <em>iv_units</em>, and <em>loinc</em>.</p>
<p>This data set is in R available as <code>antibiotics</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 14 June 2024 20:39:01 UTC. Find more info
<p>It was last updated on 19 September 2024 09:44:56 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@ -459,13 +466,13 @@ R Data Structure (RDS) file</a> (44 kB)<br>
text file</a> (0.1 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.xlsx" class="external-link">Microsoft
Excel workbook</a> (73 kB)<br>
Excel workbook</a> (75 kB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.feather" class="external-link">Apache
Feather file</a> (0.2 MB)<br>
Feather file</a> (0.1 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.parquet" class="external-link">Apache
Parquet file</a> (0 kB)<br>
Parquet file</a> (0.1 MB)<br>
</li>
<li>Download as <a href="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.xpt" class="external-link">SAS
transport (XPT) file</a> (1.5 MB)<br>

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<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="">2.1.1.9066</small>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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25
news/index.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -53,18 +53,18 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="2.1.1.9066" id="amr-2119066">AMR 2.1.1.9066<a class="anchor" aria-label="anchor" href="#amr-2119066"></a></h2>
<h2 class="pkg-version" data-toc-text="2.1.1.9073" id="amr-2119073">AMR 2.1.1.9073<a class="anchor" aria-label="anchor" href="#amr-2119073"></a></h2>
<p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using <a href="https://msberends.github.io/AMR/#latest-development-version">the instructions here</a>.)</em></p>
<div class="section level5">
<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9066">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9066"></a></h5>
<p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9073">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9073"></a></h5>
<p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island’s Atlantic Veterinary College</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
</div>
<div class="section level3">
<h3 id="breaking-2-1-1-9066">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9066"></a></h3>
<h3 id="breaking-2-1-1-9073">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9073"></a></h3>
<ul><li>Removed all functions and references that used the deprecated <code>rsi</code> class, which were all replaced with their <code>sir</code> equivalents over a year ago</li>
</ul></div>
<div class="section level3">
<h3 id="new-2-1-1-9066">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9066"></a></h3>
<h3 id="new-2-1-1-9073">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9073"></a></h3>
<ul><li>One Health implementation
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now has extensive support for animal breakpoints from CLSI. Use <code>breakpoint_type = "animal"</code> and set the <code>host</code> argument to a variable that contains animal species names.</li>
<li>The <code>clinical_breakpoints</code> data set contains all these breakpoints, and can be downloaded on our <a href="https://msberends.github.io/AMR/articles/datasets.html">download page</a>.</li>
@ -92,12 +92,16 @@
</ul></li>
<li>We’ve welcomed over 2,000 records from 2023, over 900 from 2024, and many thousands of new fungi</li>
</ul></li>
<li>Improved support for mycologists:
<ul><li>The <code><a href="../reference/as.mo.html">as.mo()</a></code> function now includes a new argument, <code>only_fungi</code> (TRUE/FALSE), which limits the results to fungi only. Normally, bacteria are often prioritised by the algorithm, but setting <code>only_fungi = TRUE</code> ensures only fungi are returned.</li>
<li>You can also set this globally using the new R option <code>AMR_only_fungi</code>, e.g., <code>options(AMR_only_fungi = TRUE)</code>.</li>
</ul></li>
<li>Other
<ul><li>New function <code><a href="../reference/mo_property.html">mo_group_members()</a></code> to retrieve the member microorganisms of a microorganism group. For example, <code>mo_group_members("Strep group C")</code> returns a vector of all microorganisms that are in that group.</li>
</ul></li>
</ul></div>
<div class="section level3">
<h3 id="changed-2-1-1-9066">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9066"></a></h3>
<h3 id="changed-2-1-1-9073">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9073"></a></h3>
<ul><li>SIR interpretation
<ul><li>It is now possible to use column names for argument <code>ab</code>, <code>mo</code>, and <code>uti</code>: <code>as.sir(..., ab = "column1", mo = "column2", uti = "column3")</code>. This greatly improves the flexibility for users.</li>
<li>Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and NI.</li>
@ -137,8 +141,9 @@
<li>Fixed a bug for when <code><a href="../reference/antibiogram.html">antibiogram()</a></code> returns an empty data set</li>
</ul></div>
<div class="section level3">
<h3 id="other-2-1-1-9066">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9066"></a></h3>
<ul><li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
<h3 id="other-2-1-1-9073">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9073"></a></h3>
<ul><li>Greatly updated and expanded documentation</li>
<li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
</ul></div>
</div>
<div class="section level2">
@ -311,7 +316,7 @@
</ul></li>
<li>Argument <code>combine_IR</code> has been removed from this package (affecting functions <code><a href="../reference/count.html">count_df()</a></code>, <code><a href="../reference/proportion.html">proportion_df()</a></code>, and <code><a href="../reference/proportion.html">sir_df()</a></code> and some plotting functions), since it was replaced with <code>combine_SI</code> three years ago</li>
<li>Using <code>units</code> in <code>ab_ddd(..., units = "...")</code> had been deprecated for some time and is now not supported anymore. Use <code><a href="../reference/ab_property.html">ab_ddd_units()</a></code> instead.</li>
<li>Support for <code>data.frame</code>-enhancing R packages, more specifically: <code><a href="https://rdatatable.gitlab.io/data.table/reference/data.table.html" class="external-link">data.table::data.table</a></code>, <code><a href="https://sfirke.github.io/janitor/reference/tabyl.html" class="external-link">janitor::tabyl</a></code>, <code><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble::tibble</a></code>, and <code><a href="https://tsibble.tidyverts.org/reference/tsibble.html" class="external-link">tsibble::tsibble</a></code>. AMR package functions that have a data set as output (such as <code><a href="../reference/proportion.html">sir_df()</a></code> and <code><a href="../reference/bug_drug_combinations.html">bug_drug_combinations()</a></code>), will now return the same data type as the input.</li>
<li>Support for <code>data.frame</code>-enhancing R packages, more specifically: <code><a href="https://rdatatable.gitlab.io/data.table/reference/data.table.html" class="external-link">data.table::data.table</a></code>, <code>janitor::tabyl</code>, <code><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble::tibble</a></code>, and <code>tsibble::tsibble</code>. AMR package functions that have a data set as output (such as <code><a href="../reference/proportion.html">sir_df()</a></code> and <code><a href="../reference/bug_drug_combinations.html">bug_drug_combinations()</a></code>), will now return the same data type as the input.</li>
<li>All data sets in this package are now a <code>tibble</code>, instead of base R <code>data.frame</code>s. Older R versions are still supported, even if they do not support <code>tibble</code>s.</li>
<li>Our data sets are now also continually exported to <strong>Apache Feather and Apache Parquet formats</strong>. You can find more info <a href="https://msberends.github.io/AMR/articles/datasets.html">in this article on our website</a>.</li>
<li>For <code><a href="../reference/as.sir.html">as.sir()</a></code>:

8
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});
});
})(window.jQuery || window.$)
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@ -1,5 +1,5 @@
pandoc: 3.1.11
pkgdown: 2.1.0
pkgdown: 2.1.1
pkgdown_sha: ~
articles:
AMR: AMR.html
@ -11,7 +11,7 @@ articles:
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
WHONET: WHONET.html
last_built: 2024-07-16T14:13Z
last_built: 2024-09-19T12:02Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles

2
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
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@ -21,7 +21,7 @@ The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish,
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/add_custom_antimicrobials.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

5
reference/add_custom_microorganisms.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -187,6 +187,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> $lpsn</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] NA</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $mycobank</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] NA</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $gbif</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] NA</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>

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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -116,16 +116,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.61202 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.37432 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.70492 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.41803 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.40437 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.51366 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 26 26.88525 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.46995 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 52 52.07923 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 37 37.93169 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1965-12-05 58 58.78962 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1980-03-01 44 44.55191 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1949-11-01 74 74.88251 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1947-02-14 77 77.59563 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1940-02-19 84 84.58197 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1988-01-10 36 36.69126 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1997-08-27 27 27.06284 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1978-01-26 46 46.64754 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1972-06-17 52 52.25683 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10 38 38.10929 13</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>

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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/antibiotic_class_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
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/antibiotics.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/as.ab.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/as.av.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

4
reference/as.disk.html
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -132,6 +132,7 @@
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"ampicillin"</span>, <span class="co"># and `ab` with as.ab()</span></span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"EUCAST"</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2024...</span>
@ -141,6 +142,7 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># interpret whole data set, pretend to be all from urinary tract infections:</span></span></span>
<span class="r-in"><span><span class="fu"><a href="as.sir.html">as.sir</a></span><span class="op">(</span><span class="va">df</span>, uti <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: column 'AMP' (ampicillin), EUCAST</span>

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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -181,6 +181,7 @@
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"AMX"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"EUCAST"</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2024...</span>
@ -194,6 +195,7 @@
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"AMX"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"EUCAST"</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2024...</span>

73
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@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">
@ -68,6 +68,7 @@
<span> reference_df <span class="op">=</span> <span class="fu"><a href="mo_source.html">get_mo_source</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> ignore_pattern <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_ignore_pattern"</span>, <span class="cn">NULL</span><span class="op">)</span>,</span>
<span> cleaning_regex <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_cleaning_regex"</span>, <span class="fu">mo_cleaning_regex</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>,</span>
<span> only_fungi <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"AMR_only_fungi"</span>, <span class="cn">FALSE</span><span class="op">)</span>,</span>
<span> language <span class="op">=</span> <span class="fu"><a href="translate.html">get_AMR_locale</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> info <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/interactive.html" class="external-link">interactive</a></span><span class="op">(</span><span class="op">)</span>,</span>
<span> <span class="va">...</span></span>
@ -124,12 +125,16 @@
<dd><p>a Perl-compatible <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> (case-insensitive) to clean the input of <code>x</code>. Every matched part in <code>x</code> will be removed. At default, this is the outcome of <code>mo_cleaning_regex()</code>, which removes texts between brackets and texts such as "species" and "serovar". The default can be set with the <a href="AMR-options.html">package option</a> <code><a href="AMR-options.html">AMR_cleaning_regex</a></code>.</p></dd>
<dt id="arg-only-fungi">only_fungi<a class="anchor" aria-label="anchor" href="#arg-only-fungi"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate if only fungi must be found, making sure that e.g. misspellings always return records from the kingdom of Fungi. This can be set globally for <a href="mo_property.html">all microorganism functions</a> with the <a href="AMR-options.html">package option</a> <code><a href="AMR-options.html">AMR_only_fungi</a></code>, i.e. <code>options(AMR_only_fungi = TRUE)</code>.</p></dd>
<dt id="arg-language">language<a class="anchor" aria-label="anchor" href="#arg-language"></a></dt>
<dd><p>language to translate text like "no growth", which defaults to the system language (see <code><a href="translate.html">get_AMR_locale()</a></code>)</p></dd>
<dt id="arg-info">info<a class="anchor" aria-label="anchor" href="#arg-info"></a></dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate if a progress bar should be printed if more than 25 items are to be coerced - the default is <code>TRUE</code> only in interactive mode</p></dd>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate that info must be printed, e.g. a progress bar when more than 25 items are to be coerced, or a list with old taxonomic names. The default is <code>TRUE</code> only in interactive mode.</p></dd>
<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
@ -142,7 +147,7 @@
</div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>A microorganism (MO) code from this package (class: <code>mo</code>) is human readable and typically looks like these examples:</p>
<p>A microorganism (MO) code from this package (class: <code>mo</code>) is human-readable and typically looks like these examples:</p>
<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a> Code Full name</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a> <span class="sc">---------------</span> <span class="sc">--------------------------------------</span></span>
<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a> B_KLBSL Klebsiella</span>
@ -153,50 +158,76 @@
<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a> <span class="er">|</span> <span class="er">|</span> <span class="er">|</span> \<span class="sc">--</span><span class="ot">-&gt;</span> subspecies, a <span class="dv">3-5</span> letter acronym</span>
<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a> <span class="sc">|</span> <span class="er">|</span> \<span class="sc">---</span><span class="ot">-&gt;</span> species, a <span class="dv">3-6</span> letter acronym</span>
<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a> <span class="sc">|</span> \<span class="sc">---</span><span class="ot">-&gt;</span> genus, a <span class="dv">4-8</span> letter acronym</span>
<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a> \<span class="sc">---</span><span class="ot">-&gt;</span> taxonomic kingdom<span class="sc">:</span> <span class="fu">A</span> (Archaea), <span class="fu">AN</span> (Animalia), <span class="fu">B</span> (Bacteria),</span>
<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a> <span class="fu">F</span> (Fungi), <span class="fu">PL</span> (Plantae), <span class="fu">P</span> (Protozoa)</span></code></pre><p></p></div>
<p>Values that cannot be coerced will be considered 'unknown' and will be returned as the MO code <code>UNKNOWN</code> with a warning.</p>
<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a> \<span class="sc">---</span><span class="ot">-&gt;</span> kingdom<span class="sc">:</span> <span class="fu">A</span> (Archaea), <span class="fu">AN</span> (Animalia), <span class="fu">B</span> (Bacteria),</span>
<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a> <span class="fu">C</span> (Chromista), <span class="fu">F</span> (Fungi), <span class="fu">PL</span> (Plantae),</span>
<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a> <span class="fu">P</span> (Protozoa)</span></code></pre><p></p></div>
<p>Values that cannot be coerced will be considered 'unknown' and will return the MO code <code>UNKNOWN</code> with a warning.</p>
<p>Use the <code><a href="mo_property.html">mo_*</a></code> functions to get properties based on the returned code, see <em>Examples</em>.</p>
<p>The <code>as.mo()</code> function uses a novel <a href="mo_matching_score.html">matching score algorithm</a> (see <em>Matching Score for Microorganisms</em> below) to match input against the <a href="microorganisms.html">available microbial taxonomy</a> in this package. This will lead to the effect that e.g. <code>"E. coli"</code> (a microorganism highly prevalent in humans) will return the microbial ID of <em>Escherichia coli</em> and not <em>Entamoeba coli</em> (a microorganism less prevalent in humans), although the latter would alphabetically come first.</p>
<p>With <code>Becker = TRUE</code>, the following 89 staphylococci will be converted to the <strong>coagulase-negative group</strong>: <em>S. americanisciuri</em>, <em>S. argensis</em>, <em>S. arlettae</em>, <em>S. auricularis</em>, <em>S. borealis</em>, <em>S. brunensis</em>, <em>S. caeli</em>, <em>S. caledonicus</em>, <em>S. canis</em>, <em>S. capitis</em>, <em>S. capitis capitis</em>, <em>S. capitis urealyticus</em>, <em>S. capitis ureolyticus</em>, <em>S. caprae</em>, <em>S. carnosus</em>, <em>S. carnosus carnosus</em>, <em>S. carnosus utilis</em>, <em>S. casei</em>, <em>S. caseolyticus</em>, <em>S. chromogenes</em>, <em>S. cohnii</em>, <em>S. cohnii cohnii</em>, <em>S. cohnii urealyticum</em>, <em>S. cohnii urealyticus</em>, <em>S. condimenti</em>, <em>S. croceilyticus</em>, <em>S. debuckii</em>, <em>S. devriesei</em>, <em>S. durrellii</em>, <em>S. edaphicus</em>, <em>S. epidermidis</em>, <em>S. equorum</em>, <em>S. equorum equorum</em>, <em>S. equorum linens</em>, <em>S. felis</em>, <em>S. fleurettii</em>, <em>S. gallinarum</em>, <em>S. haemolyticus</em>, <em>S. hominis</em>, <em>S. hominis hominis</em>, <em>S. hominis novobiosepticus</em>, <em>S. jettensis</em>, <em>S. kloosii</em>, <em>S. lentus</em>, <em>S. lloydii</em>, <em>S. lugdunensis</em>, <em>S. marylandisciuri</em>, <em>S. massiliensis</em>, <em>S. microti</em>, <em>S. muscae</em>, <em>S. nepalensis</em>, <em>S. pasteuri</em>, <em>S. petrasii</em>, <em>S. petrasii croceilyticus</em>, <em>S. petrasii jettensis</em>, <em>S. petrasii petrasii</em>, <em>S. petrasii pragensis</em>, <em>S. pettenkoferi</em>, <em>S. piscifermentans</em>, <em>S. pragensis</em>, <em>S. pseudoxylosus</em>, <em>S. pulvereri</em>, <em>S. ratti</em>, <em>S. rostri</em>, <em>S. saccharolyticus</em>, <em>S. saprophyticus</em>, <em>S. saprophyticus bovis</em>, <em>S. saprophyticus saprophyticus</em>, <em>S. schleiferi</em>, <em>S. schleiferi schleiferi</em>, <em>S. sciuri</em>, <em>S. sciuri carnaticus</em>, <em>S. sciuri lentus</em>, <em>S. sciuri rodentium</em>, <em>S. sciuri sciuri</em>, <em>S. shinii</em>, <em>S. simulans</em>, <em>S. stepanovicii</em>, <em>S. succinus</em>, <em>S. succinus casei</em>, <em>S. succinus succinus</em>, <em>S. taiwanensis</em>, <em>S. urealyticus</em>, <em>S. ureilyticus</em>, <em>S. veratri</em>, <em>S. vitulinus</em>, <em>S. vitulus</em>, <em>S. warneri</em>, and <em>S. xylosus</em>.<br> The following 16 staphylococci will be converted to the <strong>coagulase-positive group</strong>: <em>S. agnetis</em>, <em>S. argenteus</em>, <em>S. coagulans</em>, <em>S. cornubiensis</em>, <em>S. delphini</em>, <em>S. hyicus</em>, <em>S. hyicus chromogenes</em>, <em>S. hyicus hyicus</em>, <em>S. intermedius</em>, <em>S. lutrae</em>, <em>S. pseudintermedius</em>, <em>S. roterodami</em>, <em>S. schleiferi coagulans</em>, <em>S. schweitzeri</em>, <em>S. simiae</em>, and <em>S. singaporensis</em>.</p>
<p>With <code>Lancefield = TRUE</code>, the following streptococci will be converted to their corresponding Lancefield group: <em>S. agalactiae</em> (Group B), <em>S. anginosus anginosus</em> (Group F), <em>S. anginosus whileyi</em> (Group F), <em>S. anginosus</em> (Group F), <em>S. canis</em> (Group G), <em>S. dysgalactiae dysgalactiae</em> (Group C), <em>S. dysgalactiae equisimilis</em> (Group C), <em>S. dysgalactiae</em> (Group C), <em>S. equi equi</em> (Group C), <em>S. equi ruminatorum</em> (Group C), <em>S. equi zooepidemicus</em> (Group C), <em>S. equi</em> (Group C), <em>S. pyogenes</em> (Group A), <em>S. salivarius salivarius</em> (Group K), <em>S. salivarius thermophilus</em> (Group K), <em>S. salivarius</em> (Group K), and <em>S. sanguinis</em> (Group H).</p><div class="section">
<p>The <code>as.mo()</code> function uses a novel and scientifically validated (<a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a>
) matching score algorithm (see <em>Matching Score for Microorganisms</em> below) to match input against the <a href="microorganisms.html">available microbial taxonomy</a> in this package. This implicates that e.g. <code>"E. coli"</code> (a microorganism highly prevalent in humans) will return the microbial ID of <em>Escherichia coli</em> and not <em>Entamoeba coli</em> (a microorganism less prevalent in humans), although the latter would alphabetically come first.</p><div class="section">
<h3 id="coping-with-uncertain-results">Coping with Uncertain Results<a class="anchor" aria-label="anchor" href="#coping-with-uncertain-results"></a></h3>
<p>Results of non-exact taxonomic input are based on their <a href="mo_matching_score.html">matching score</a>. The lowest allowed score can be set with the <code>minimum_matching_score</code> argument. At default this will be determined based on the character length of the input, and the <a href="microorganisms.html">taxonomic kingdom</a> and <a href="mo_matching_score.html">human pathogenicity</a> of the taxonomic outcome. If values are matched with uncertainty, a message will be shown to suggest the user to evaluate the results with <code>mo_uncertainties()</code>, which returns a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> with all specifications.</p>
<p>To increase the quality of matching, the <code>cleaning_regex</code> argument can be used to clean the input (i.e., <code>x</code>). This must be a <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> that matches parts of the input that should be removed before the input is matched against the <a href="microorganisms.html">available microbial taxonomy</a>. It will be matched Perl-compatible and case-insensitive. The default value of <code>cleaning_regex</code> is the outcome of the helper function <code>mo_cleaning_regex()</code>.</p>
<p>Results of non-exact taxonomic input are based on their <a href="mo_matching_score.html">matching score</a>. The lowest allowed score can be set with the <code>minimum_matching_score</code> argument. At default this will be determined based on the character length of the input, the <a href="microorganisms.html">taxonomic kingdom</a>, and the <a href="mo_matching_score.html">human pathogenicity</a> of the taxonomic outcome. If values are matched with uncertainty, a message will be shown to suggest the user to inspect the results with <code>mo_uncertainties()</code>, which returns a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> with all specifications.</p>
<p>To increase the quality of matching, the <code>cleaning_regex</code> argument is used to clean the input. This must be a <a href="https://rdrr.io/r/base/regex.html" class="external-link">regular expression</a> that matches parts of the input that should be removed before the input is matched against the <a href="microorganisms.html">available microbial taxonomy</a>. It will be matched Perl-compatible and case-insensitive. The default value of <code>cleaning_regex</code> is the outcome of the helper function <code>mo_cleaning_regex()</code>.</p>
<p>There are three helper functions that can be run after using the <code>as.mo()</code> function:</p><ul><li><p>Use <code>mo_uncertainties()</code> to get a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> that prints in a pretty format with all taxonomic names that were guessed. The output contains the matching score for all matches (see <em>Matching Score for Microorganisms</em> below).</p></li>
<li><p>Use <code>mo_failures()</code> to get a <a href="https://rdrr.io/r/base/character.html" class="external-link">character</a> <a href="https://rdrr.io/r/base/vector.html" class="external-link">vector</a> with all values that could not be coerced to a valid value.</p></li>
<li><p>Use <code>mo_renamed()</code> to get a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> with all values that could be coerced based on old, previously accepted taxonomic names.</p></li>
</ul></div>
<div class="section">
<h3 id="microbial-prevalence-of-pathogens-in-humans">Microbial Prevalence of Pathogens in Humans<a class="anchor" aria-label="anchor" href="#microbial-prevalence-of-pathogens-in-humans"></a></h3>
<h3 id="for-mycologists">For Mycologists<a class="anchor" aria-label="anchor" href="#for-mycologists"></a></h3>
<p>The coercion rules consider the prevalence of microorganisms in humans, which is available as the <code>prevalence</code> column in the <a href="microorganisms.html">microorganisms</a> data set. The grouping into human pathogenic prevalence is explained in the section <em>Matching Score for Microorganisms</em> below.</p>
<p>The <a href="mo_matching_score.html">matching score algorithm</a> gives precedence to bacteria over fungi. If you are only analysing fungi, be sure to use <code>only_fungi = TRUE</code>, or better yet, add this to your code and run it once every session:</p>
<p></p><div class="sourceCode r"><pre><code><span><span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">options</a></span><span class="op">(</span>AMR_only_fungi <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre><p></p></div>
<p>This will make sure that no bacteria or other 'non-fungi' will be returned by <code>as.mo()</code>, or any of the <code><a href="mo_property.html">mo_*</a></code> functions.</p>
</div>
<div class="section">
<h3 id="coagulase-negative-and-coagulase-positive-staphylococci">Coagulase-negative and Coagulase-positive Staphylococci<a class="anchor" aria-label="anchor" href="#coagulase-negative-and-coagulase-positive-staphylococci"></a></h3>
<p>With <code>Becker = TRUE</code>, the following staphylococci will be converted to their corresponding coagulase group:</p><ul><li><p>Coagulase-negative: <em>S. americanisciuri</em>, <em>S. argensis</em>, <em>S. arlettae</em>, <em>S. auricularis</em>, <em>S. borealis</em>, <em>S. brunensis</em>, <em>S. caeli</em>, <em>S. caledonicus</em>, <em>S. canis</em>, <em>S. capitis</em>, <em>S. capitis capitis</em>, <em>S. capitis urealyticus</em>, <em>S. capitis ureolyticus</em>, <em>S. caprae</em>, <em>S. carnosus</em>, <em>S. carnosus carnosus</em>, <em>S. carnosus utilis</em>, <em>S. casei</em>, <em>S. caseolyticus</em>, <em>S. chromogenes</em>, <em>S. cohnii</em>, <em>S. cohnii cohnii</em>, <em>S. cohnii urealyticum</em>, <em>S. cohnii urealyticus</em>, <em>S. condimenti</em>, <em>S. croceilyticus</em>, <em>S. debuckii</em>, <em>S. devriesei</em>, <em>S. durrellii</em>, <em>S. edaphicus</em>, <em>S. epidermidis</em>, <em>S. equorum</em>, <em>S. equorum equorum</em>, <em>S. equorum linens</em>, <em>S. felis</em>, <em>S. fleurettii</em>, <em>S. gallinarum</em>, <em>S. haemolyticus</em>, <em>S. hominis</em>, <em>S. hominis hominis</em>, <em>S. hominis novobiosepticus</em>, <em>S. jettensis</em>, <em>S. kloosii</em>, <em>S. lentus</em>, <em>S. lloydii</em>, <em>S. lugdunensis</em>, <em>S. marylandisciuri</em>, <em>S. massiliensis</em>, <em>S. microti</em>, <em>S. muscae</em>, <em>S. nepalensis</em>, <em>S. pasteuri</em>, <em>S. petrasii</em>, <em>S. petrasii croceilyticus</em>, <em>S. petrasii jettensis</em>, <em>S. petrasii petrasii</em>, <em>S. petrasii pragensis</em>, <em>S. pettenkoferi</em>, <em>S. piscifermentans</em>, <em>S. pragensis</em>, <em>S. pseudoxylosus</em>, <em>S. pulvereri</em>, <em>S. ratti</em>, <em>S. rostri</em>, <em>S. saccharolyticus</em>, <em>S. saprophyticus</em>, <em>S. saprophyticus bovis</em>, <em>S. saprophyticus saprophyticus</em>, <em>S. schleiferi</em>, <em>S. schleiferi schleiferi</em>, <em>S. sciuri</em>, <em>S. sciuri carnaticus</em>, <em>S. sciuri lentus</em>, <em>S. sciuri rodentium</em>, <em>S. sciuri sciuri</em>, <em>S. shinii</em>, <em>S. simulans</em>, <em>S. stepanovicii</em>, <em>S. succinus</em>, <em>S. succinus casei</em>, <em>S. succinus succinus</em>, <em>S. taiwanensis</em>, <em>S. urealyticus</em>, <em>S. ureilyticus</em>, <em>S. veratri</em>, <em>S. vitulinus</em>, <em>S. vitulus</em>, <em>S. warneri</em>, and <em>S. xylosus</em></p></li>
<li><p>Coagulase-positive: <em>S. agnetis</em>, <em>S. argenteus</em>, <em>S. coagulans</em>, <em>S. cornubiensis</em>, <em>S. delphini</em>, <em>S. hyicus</em>, <em>S. hyicus chromogenes</em>, <em>S. hyicus hyicus</em>, <em>S. intermedius</em>, <em>S. lutrae</em>, <em>S. pseudintermedius</em>, <em>S. roterodami</em>, <em>S. schleiferi coagulans</em>, <em>S. schweitzeri</em>, <em>S. simiae</em>, and <em>S. singaporensis</em></p></li>
</ul><p>This is based on:</p><ul><li><p>Becker K <em>et al.</em> (2014). <strong>Coagulase-Negative Staphylococci.</strong> <em>Clin Microbiol Rev.</em> 27(4): 870-926; <a href="https://doi.org/10.1128/CMR.00109-13" class="external-link">doi:10.1128/CMR.00109-13</a></p></li>
<li><p>Becker K <em>et al.</em> (2019). <strong>Implications of identifying the recently defined members of the <em>S. aureus</em> complex, <em>S. argenteus</em> and <em>S. schweitzeri</em>: A position paper of members of the ESCMID Study Group for staphylococci and Staphylococcal Diseases (ESGS).</strong> <em>Clin Microbiol Infect</em>; <a href="https://doi.org/10.1016/j.cmi.2019.02.028" class="external-link">doi:10.1016/j.cmi.2019.02.028</a></p></li>
<li><p>Becker K <em>et al.</em> (2020). <strong>Emergence of coagulase-negative staphylococci.</strong> <em>Expert Rev Anti Infect Ther.</em> 18(4):349-366; <a href="https://doi.org/10.1080/14787210.2020.1730813" class="external-link">doi:10.1080/14787210.2020.1730813</a></p></li>
</ul><p>For newly named staphylococcal species, such as <em>S. brunensis</em> (2024) and <em>S. shinii</em> (2023), we looked up the scientific reference to make sure the species are considered for the correct coagulase group.</p>
</div>
<div class="section">
<h3 id="lancefield-groups-in-streptococci">Lancefield Groups in Streptococci<a class="anchor" aria-label="anchor" href="#lancefield-groups-in-streptococci"></a></h3>
<p>With <code>Lancefield = TRUE</code>, the following streptococci will be converted to their corresponding Lancefield group:</p><ul><li><p>Streptococcus Group A: <em>S. pyogenes</em></p></li>
<li><p>Streptococcus Group B: <em>S. agalactiae</em></p></li>
<li><p>Streptococcus Group C: <em>S. dysgalactiae</em>, <em>S. dysgalactiae dysgalactiae</em>, <em>S. dysgalactiae equisimilis</em>, <em>S. equi</em>, <em>S. equi equi</em>, <em>S. equi ruminatorum</em>, and <em>S. equi zooepidemicus</em></p></li>
<li><p>Streptococcus Group F: <em>S. anginosus</em>, <em>S. anginosus anginosus</em>, <em>S. anginosus whileyi</em>, <em>S. constellatus</em>, <em>S. constellatus constellatus</em>, <em>S. constellatus pharyngis</em>, <em>S. constellatus viborgensis</em>, and <em>S. intermedius</em></p></li>
<li><p>Streptococcus Group G: <em>S. canis</em>, <em>S. dysgalactiae</em>, <em>S. dysgalactiae dysgalactiae</em>, and <em>S. dysgalactiae equisimilis</em></p></li>
<li><p>Streptococcus Group H: <em>S. sanguinis</em></p></li>
<li><p>Streptococcus Group K: <em>S. salivarius</em>, <em>S. salivarius salivarius</em>, and <em>S. salivarius thermophilus</em></p></li>
<li><p>Streptococcus Group L: <em>S. dysgalactiae</em>, <em>S. dysgalactiae dysgalactiae</em>, and <em>S. dysgalactiae equisimilis</em></p></li>
</ul><p>This is based on:</p><ul><li><p>Lancefield RC (1933). <strong>A serological differentiation of human and other groups of hemolytic streptococci.</strong> <em>J Exp Med.</em> 57(4): 571-95; <a href="https://doi.org/10.1084/jem.57.4.571" class="external-link">doi:10.1084/jem.57.4.571</a></p></li>
</ul></div>
</div>
<div class="section level2">
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
<ol><li><p>Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a></p></li>
<li><p>Becker K <em>et al.</em> (2014). <strong>Coagulase-Negative Staphylococci.</strong> <em>Clin Microbiol Rev.</em> 27(4): 870-926; <a href="https://doi.org/10.1128/CMR.00109-13" class="external-link">doi:10.1128/CMR.00109-13</a></p></li>
<li><p>Becker K <em>et al.</em> (2019). <strong>Implications of identifying the recently defined members of the <em>S. aureus</em> complex, <em>S. argenteus</em> and <em>S. schweitzeri</em>: A position paper of members of the ESCMID Study Group for staphylococci and Staphylococcal Diseases (ESGS).</strong> <em>Clin Microbiol Infect</em>; <a href="https://doi.org/10.1016/j.cmi.2019.02.028" class="external-link">doi:10.1016/j.cmi.2019.02.028</a></p></li>
<li><p>Becker K <em>et al.</em> (2020). <strong>Emergence of coagulase-negative staphylococci.</strong> <em>Expert Rev Anti Infect Ther.</em> 18(4):349-366; <a href="https://doi.org/10.1080/14787210.2020.1730813" class="external-link">doi:10.1080/14787210.2020.1730813</a></p></li>
<li><p>Lancefield RC (1933). <strong>A serological differentiation of human and other groups of hemolytic streptococci.</strong> <em>J Exp Med.</em> 57(4): 571-95; <a href="https://doi.org/10.1084/jem.57.4.571" class="external-link">doi:10.1084/jem.57.4.571</a></p></li>
<li><p>Berends MS <em>et al.</em> (2022). <strong>Trends in Occurrence and Phenotypic Resistance of Coagulase-Negative Staphylococci (CoNS) Found in Human Blood in the Northern Netherlands between 2013 and 2019/</strong> <em>Micro.rganisms</em> 10(9), 1801; <a href="https://doi.org/10.3390/microorganisms10091801" class="external-link">doi:10.3390/microorganisms10091801</a></p></li>
<ul><li><p>Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a></p></li>
<li><p>Parte, AC <em>et al.</em> (2020). <strong>List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ.</strong> International Journal of Systematic and Evolutionary Microbiology, 70, 5607-5612; <a href="https://doi.org/10.1099/ijsem.0.004332" class="external-link">doi:10.1099/ijsem.0.004332</a>
. Accessed from <a href="https://lpsn.dsmz.de" class="external-link">https://lpsn.dsmz.de</a> on June 24th, 2024.</p></li>
<li><p>Vincent, R <em>et al</em> (2013). <strong>MycoBank gearing up for new horizons.</strong> IMA Fungus, 4(2), 371-9; <a href="https://doi.org/10.5598/imafungus.2013.04.02.16" class="external-link">doi:10.5598/imafungus.2013.04.02.16</a>
. Accessed from <a href="https://www.mycobank.org" class="external-link">https://www.mycobank.org</a> on June 24th, 2024.</p></li>
<li><p>GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on June 24th, 2024.</p></li>
<li><p>Reimer, LC <em>et al.</em> (2022). <strong><em>BacDive</em> in 2022: the knowledge base for standardized bacterial and archaeal data.</strong> Nucleic Acids Res., 50(D1):D741-D74; <a href="https://doi.org/10.1093/nar/gkab961" class="external-link">doi:10.1093/nar/gkab961</a>
. Accessed from <a href="https://bacdive.dsmz.de" class="external-link">https://bacdive.dsmz.de</a> on July 16th, 2024.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Bartlett A <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ol></div>
</ul></div>
<div class="section level2">
<h2 id="matching-score-for-microorganisms">Matching Score for Microorganisms<a class="anchor" aria-label="anchor" href="#matching-score-for-microorganisms"></a></h2>
@ -268,7 +299,7 @@
<span class="r-in"><span><span class="co"># input will get cleaned up with the input given in the `cleaning_regex` argument,</span></span></span>
<span class="r-in"><span><span class="co"># which defaults to `mo_cleaning_regex()`:</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="fu">mo_cleaning_regex</span><span class="op">(</span><span class="op">)</span>, <span class="st">"\n"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ([^A-Za-z- \(\)\[\]{}]+|([({]|\[).+([})]|\])|(^| )(e?spp([^a-z]+|$)|e?ssp([^a-z]+|$)|serogr.?up[a-z]*|e?ss([^a-z]+|$)|e?sp([^a-z]+|$)|var([^a-z]+|$)|serovar[a-z]*|sube?species|biovar[a-z]*|e?species|Ig[ADEGM]|e?subsp|biotype|titer|dummy)) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ([^A-Za-z- \(\)\[\]{}]+|([({]|\[).+([})]|\])|(^| )( ?[a-z-]+[-](resistant|susceptible) ?|e?spp([^a-z]+|$)|e?ssp([^a-z]+|$)|serogr.?up[a-z]*|e?ss([^a-z]+|$)|e?sp([^a-z]+|$)|var([^a-z]+|$)|serovar[a-z]*|sube?species|biovar[a-z]*|e?species|Ig[ADEGM]|e?subsp|biotype|titer|dummy)) </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">as.mo</span><span class="op">(</span><span class="st">"Streptococcus group A"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mo'</span>

99
reference/as.sir.html
View File

@ -3,14 +3,14 @@
These breakpoints are currently implemented:
For clinical microbiology: EUCAST 2011-2024 and CLSI 2011-2024;
For veterinary microbiology: EUCAST 2021-2024 and CLSI 2019-2024;
ECOFFs (Epidemiological cut-off values): EUCAST 2020-2024 and CLSI 2022-2024.
For ECOFFs (Epidemiological Cut-off Values): EUCAST 2020-2024 and CLSI 2022-2024.
All breakpoints used for interpretation are available in our clinical_breakpoints data set."><meta property="og:description" content="Clean up existing SIR values, or interpret minimum inhibitory concentration (MIC) values and disk diffusion diameters according to EUCAST or CLSI. as.sir() transforms the input to a new class sir, which is an ordered factor containing the levels S, SDD, I, R, NI.
These breakpoints are currently implemented:
For clinical microbiology: EUCAST 2011-2024 and CLSI 2011-2024;
For veterinary microbiology: EUCAST 2021-2024 and CLSI 2019-2024;
ECOFFs (Epidemiological cut-off values): EUCAST 2020-2024 and CLSI 2022-2024.
For ECOFFs (Epidemiological Cut-off Values): EUCAST 2020-2024 and CLSI 2022-2024.
All breakpoints used for interpretation are available in our clinical_breakpoints data set."><meta property="og:image" content="https://msberends.github.io/AMR/logo.svg"><meta name="twitter:card" content="summary_large_image"><meta name="twitter:creator" content="@msberends"><meta name="twitter:site" content="@msberends"></head><body>
@ -21,7 +21,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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@ -71,7 +71,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<p>Clean up existing SIR values, or interpret minimum inhibitory concentration (MIC) values and disk diffusion diameters according to EUCAST or CLSI. <code>as.sir()</code> transforms the input to a new class <code>sir</code>, which is an ordered <a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a> containing the levels <code>S</code>, <code>SDD</code>, <code>I</code>, <code>R</code>, <code>NI</code>.</p>
<p>These breakpoints are currently implemented:</p><ul><li><p>For <strong>clinical microbiology</strong>: EUCAST 2011-2024 and CLSI 2011-2024;</p></li>
<li><p>For <strong>veterinary microbiology</strong>: EUCAST 2021-2024 and CLSI 2019-2024;</p></li>
<li><p>ECOFFs (Epidemiological cut-off values): EUCAST 2020-2024 and CLSI 2022-2024.</p></li>
<li><p>For <strong>ECOFFs</strong> (Epidemiological Cut-off Values): EUCAST 2020-2024 and CLSI 2022-2024.</p></li>
</ul><p>All breakpoints used for interpretation are available in our <a href="clinical_breakpoints.html">clinical_breakpoints</a> data set.</p>
</div>
@ -155,7 +155,8 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
<p>For interpretations of minimum inhibitory concentration (MIC) values and disk diffusion diameters:</p><ul><li><p><strong>CLSI M39: Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data</strong>, 2011-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/microbiology/documents/m39/" class="external-link">https://clsi.org/standards/products/microbiology/documents/m39/</a>.</p></li>
<li><p><strong>CLSI M100: Performance Standard for Antimicrobial Susceptibility Testing</strong>, 2011-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/microbiology/documents/m100/" class="external-link">https://clsi.org/standards/products/microbiology/documents/m100/</a>.</p></li>
<li><p><strong>CLSI VET01: Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals</strong>, 2019-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/veterinary-medicine/documents/vet01//" class="external-link">https://clsi.org/standards/products/veterinary-medicine/documents/vet01//</a>.</p></li>
<li><p><strong>CLSI VET01: Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals</strong>, 2019-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/veterinary-medicine/documents/vet01/" class="external-link">https://clsi.org/standards/products/veterinary-medicine/documents/vet01/</a>.</p></li>
<li><p><strong>CLSI VET09: Understanding Susceptibility Test Data as a Component of Antimicrobial Stewardship in Veterinary Settings</strong>, 2019-2024, <em>Clinical and Laboratory Standards Institute</em> (CLSI). <a href="https://clsi.org/standards/products/veterinary-medicine/documents/vet09/" class="external-link">https://clsi.org/standards/products/veterinary-medicine/documents/vet09/</a>.</p></li>
<li><p><strong>EUCAST Breakpoint tables for interpretation of MICs and zone diameters</strong>, 2011-2024, <em>European Committee on Antimicrobial Susceptibility Testing</em> (EUCAST). <a href="https://www.eucast.org/clinical_breakpoints" class="external-link">https://www.eucast.org/clinical_breakpoints</a>.</p></li>
<li><p><strong>WHONET</strong> as a source for machine-reading the clinical breakpoints (<a href="https://msberends.github.io/AMR/reference/clinical_breakpoints.html#imported-from-whonet">read more here</a>), 1989-2024, <em>WHO Collaborating Centre for Surveillance of Antimicrobial Resistance</em>. <a href="https://whonet.org/" class="external-link">https://whonet.org/</a>.</p></li>
</ul></div>
@ -253,7 +254,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<span><span class="va">your_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.mic</span>, <span class="va">as.sir</span>, ab <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"cipro"</span>, <span class="st">"ampicillin"</span>, <span class="va">...</span><span class="op">)</span>, mo <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"E. coli"</span>, <span class="st">"K. pneumoniae"</span>, <span class="va">...</span><span class="op">)</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># for veterinary breakpoints, also set `host`:</span></span>
<span><span class="va">your_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.mic</span>, <span class="va">as.sir</span>, host <span class="op">=</span> <span class="st">"column_with_animal_hosts"</span>, guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span></span></code></pre><p></p></div></li>
<span><span class="va">your_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.mic</span>, <span class="va">as.sir</span>, host <span class="op">=</span> <span class="st">"column_with_animal_species"</span>, guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span></span></code></pre><p></p></div></li>
<li><p>Operators like "&lt;=" will be stripped before interpretation. When using <code>conserve_capped_values = TRUE</code>, an MIC value of e.g. "&gt;2" will always return "R", even if the breakpoint according to the chosen guideline is "&gt;=4". This is to prevent that capped values from raw laboratory data would not be treated conservatively. The default behaviour (<code>conserve_capped_values = FALSE</code>) considers "&gt;2" to be lower than "&gt;=4" and might in this case return "S" or "I".</p></li>
</ul></li>
<li><p>For <strong>interpreting disk diffusion diameters</strong> according to EUCAST or CLSI. You must clean your disk zones first using <code><a href="as.disk.html">as.disk()</a></code>, that also gives your columns the new data class <code><a href="as.disk.html">disk</a></code>. Also, be sure to have a column with microorganism names or codes. It will be found automatically, but can be set manually using the <code>mo</code> argument.</p><ul><li><p>Using <code>dplyr</code>, SIR interpretation can be done very easily with either:</p>
@ -263,7 +264,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<span><span class="va">your_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.disk</span>, <span class="va">as.sir</span>, ab <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"cipro"</span>, <span class="st">"ampicillin"</span>, <span class="va">...</span><span class="op">)</span>, mo <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"E. coli"</span>, <span class="st">"K. pneumoniae"</span>, <span class="va">...</span><span class="op">)</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># for veterinary breakpoints, also set `host`:</span></span>
<span><span class="va">your_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.disk</span>, <span class="va">as.sir</span>, host <span class="op">=</span> <span class="st">"column_with_animal_hosts"</span>, guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span></span></code></pre><p></p></div></li>
<span><span class="va">your_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_if</a></span><span class="op">(</span><span class="va">is.disk</span>, <span class="va">as.sir</span>, host <span class="op">=</span> <span class="st">"column_with_animal_species"</span>, guideline <span class="op">=</span> <span class="st">"CLSI"</span><span class="op">)</span></span></code></pre><p></p></div></li>
</ul></li>
<li><p>For <strong>interpreting a complete data set</strong>, with automatic determination of MIC values, disk diffusion diameters, microorganism names or codes, and antimicrobial test results. This is done very simply by running <code>as.sir(your_data)</code>.</p></li>
</ol><p><strong>For points 2, 3 and 4: Use <code>sir_interpretation_history()</code></strong> to retrieve a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> (or <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> if the <code>tibble</code> package is installed) with all results of the last <code>as.sir()</code> call.</p>
@ -284,6 +285,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<p>For veterinary guidelines, these might be the best options:</p>
<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a> <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI"</span>)</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a> <span class="fu">options</span>(<span class="at">AMR_breakpoint_type =</span> <span class="st">"animal"</span>)</span></code></pre><p></p></div>
<p>When applying veterinary breakpoints (by setting <code>host</code> or by setting <code>breakpoint_type = "animal"</code>), the <a href="https://clsi.org/standards/products/veterinary-medicine/documents/vet09/" class="external-link">CLSI VET09 guideline</a> will be applied to cope with missing animal species-specific breakpoints.</p>
</div>
<div class="section">
@ -291,6 +293,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
<p>After using <code>as.sir()</code>, you can use the <code><a href="eucast_rules.html">eucast_rules()</a></code> defined by EUCAST to (1) apply inferred susceptibility and resistance based on results of other antimicrobials and (2) apply intrinsic resistance based on taxonomic properties of a microorganism.</p>
<p>To determine which isolates are multi-drug resistant, be sure to run <code><a href="mdro.html">mdro()</a></code> (which applies the MDR/PDR/XDR guideline from 2012 at default) on a data set that contains S/I/R values. Read more about <a href="mdro.html">interpreting multidrug-resistant organisms here</a>.</p>
</div>
<div class="section">
@ -560,6 +563,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span> <span class="va">df_wide</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html" class="external-link">mutate_at</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars</a></span><span class="op">(</span><span class="va">cipro</span><span class="op">:</span><span class="va">genta</span><span class="op">)</span>, <span class="va">as.sir</span>, mo <span class="op">=</span> <span class="st">"E. coli"</span>, uti <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
@ -569,6 +573,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
@ -584,6 +589,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
@ -593,6 +599,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli - assuming body site 'Non-meningitis'.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
@ -605,6 +612,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX) based on column</span>
@ -617,18 +625,21 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin) based on</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> column 'microorganism', EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), CLSI 2024...</span>
@ -637,6 +648,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), CLSI 2024...</span>
@ -645,37 +657,36 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, the CLSI guideline VET09 will be applied where</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> possible.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Using dogs breakpoints since cattle for gentamicin (GEN) in Escherichia coli are not available.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, the CLSI guideline VET09 will be applied where</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> possible.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'amoxicillin' (AMX), 'cipro' (CIP, ciprofloxacin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'tobra' (TOB, tobramycin), and 'genta' (GEN, gentamicin) based on column</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 'bacteria', CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Using dogs breakpoints since cattle for gentamicin (GEN) in Escherichia coli are not available.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ The following host(s) are invalid: "animalspecies". For missing animal</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> hosts, assuming "dogs", since these have the highest breakpoint</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> availability.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, the CLSI guideline VET09 will be applied where</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> possible.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'antibiotic' (TESTAB, test Antibiotic), CLSI</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
@ -688,22 +699,29 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • No CLSI 2024 DISK breakpoints available for test Antibiotic (TESTAB).</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `mutate()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `cipro = (function (x, ...) ...`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> The following animal host(s) could not be coerced: "animal_species"</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming breakpoint_type = "animal", since host is set.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ The following host(s) are invalid: "animalspecies". For missing animal</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> hosts, assuming "dogs", since these have the highest breakpoint</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> availability.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Please note that in the absence of specific veterinary breakpoints for</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse,</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> aquatic, and poultry, in that order, are used as substitutes.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> certain animal hosts, the CLSI guideline VET09 will be applied where</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> possible.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> WARNING </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • No CLSI 2024 MIC breakpoints available for ciprofloxacin (CIP).</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'tobra' (TOB, tobramycin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'genta' (GEN, gentamicin), CLSI 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> OK </span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>There was 1 warning in `mutate()`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> In argument: `across(...)`.</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> Caused by warning:</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> The following animal host(s) could not be coerced: "animal_species"</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'nitrofuratoin' (NIT, nitrofurantoin),</span>
@ -713,12 +731,14 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Assuming value "urine" in column 'specimen' reflects a urinary tract</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> infection.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Use as.sir(uti = FALSE) to prevent this.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'nitrofuratoin' (NIT, nitrofurantoin),</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> EUCAST 2024...</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> NOTE </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> • Breakpoints for nitrofurantoin (NIT) in Escherichia coli are only available for (uncomplicated) urinary tract infections (UTI); assuming uti = TRUE.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'cipro' (CIP, ciprofloxacin), EUCAST 2024...</span>
@ -736,6 +756,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span><span class="co">## Using base R ------------------------------------------------</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">as.sir</span><span class="op">(</span><span class="va">df_wide</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: column 'amoxicillin' (AMX), EUCAST 2024...</span>
@ -760,16 +781,16 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 59 × 16</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_given mo_given host_given ab mo </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-07-16 <span style="color: #949494;">14:14:03</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-07-16 <span style="color: #949494;">14:14:04</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-07-16 <span style="color: #949494;">14:14:04</span> 4 genta Escheri… cattle GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-07-16 <span style="color: #949494;">14:14:05</span> 4 genta Escheri… cattle GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-07-16 <span style="color: #949494;">14:14:03</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-07-16 <span style="color: #949494;">14:14:04</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-07-16 <span style="color: #949494;">14:14:04</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-07-16 <span style="color: #949494;">14:14:05</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-07-16 <span style="color: #949494;">14:14:03</span> 2 cipro Escheri… human CIP B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-07-16 <span style="color: #949494;">14:14:04</span> 2 cipro Escheri… human CIP B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-09-19 <span style="color: #949494;">12:03:00</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-09-19 <span style="color: #949494;">12:03:00</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-09-19 <span style="color: #949494;">12:03:01</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-09-19 <span style="color: #949494;">12:03:00</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-09-19 <span style="color: #949494;">12:03:00</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-09-19 <span style="color: #949494;">12:03:01</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-09-19 <span style="color: #949494;">12:03:00</span> 2 cipro Escheri… human CIP B_[ORD]_ENTRBCTR</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-09-19 <span style="color: #949494;">12:03:00</span> 2 cipro Escheri… dogs CIP B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-09-19 <span style="color: #949494;">12:03:01</span> 2 cipro Escheri… dogs CIP B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-09-19 <span style="color: #949494;">12:03:02</span> 2 nitrofu… E. coli human NIT B_ESCHR_COLI </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 49 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 9 more variables: host &lt;chr&gt;, method &lt;chr&gt;, input &lt;dbl&gt;, outcome &lt;sir&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span>
@ -782,6 +803,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"AMP"</span>,</span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"EUCAST"</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2024...</span>
@ -796,6 +818,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span> ab <span class="op">=</span> <span class="st">"ampicillin"</span>, <span class="co"># and `ab` with as.ab()</span></span></span>
<span class="r-in"><span> guideline <span class="op">=</span> <span class="st">"EUCAST"</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> all the details of the breakpoint interpretations.</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2024...</span>
@ -807,7 +830,7 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
<span class="r-in"><span><span class="co"># For CLEANING existing SIR values ------------------------------------</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">as.sir</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"S"</span>, <span class="st">"SDD"</span>, <span class="st">"I"</span>, <span class="st">"R"</span>, <span class="st">"NI"</span>, <span class="st">"A"</span>, <span class="st">"B"</span>, <span class="st">"C"</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>in as.sir(): 3 results in column '30' truncated (38%) that were invalid</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>in as.sir(): 3 results in column '19' truncated (38%) that were invalid</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> antimicrobial interpretations: "A", "B", and "C"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'sir'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] S SDD I R NI &lt;NA&gt; &lt;NA&gt; &lt;NA&gt;</span>

2
reference/atc_online.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/av_from_text.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</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">

2
reference/av_property.html
View File

@ -7,7 +7,7 @@
<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="">2.1.1.9066</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9073</small>
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2
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@ -7,7 +7,7 @@
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reference/bug_drug_combinations.html
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@ -7,7 +7,7 @@
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reference/clinical_breakpoints.html
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@ -13,7 +13,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
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reference/count.html
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@ -9,7 +9,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
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reference/custom_eucast_rules.html
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@ -7,7 +7,7 @@
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reference/dosage.html
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@ -7,7 +7,7 @@
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reference/eucast_rules.html
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@ -9,7 +9,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
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