All functions in this package are considered to be stable. Updates to the AMR interpretation rules (such as by EUCAST and CLSI), the microbial taxonomy, and the antibiotic dosages will all be updated every 6 to 12 months.
# `AMR` 1.8.1
### Changed
* Fix for using `as.rsi()` on values containing capped values (such as `>=`), sometimes leading to `NA`
<p>All reference data (about microorganisms, antibiotics, R/SI interpretation, EUCAST rules, etc.) in this <code>AMR</code> package are reliable, up-to-date and freely available. We continually export our data sets to formats for use in R, SPSS, SAS, Stata and Excel. We also supply tab separated files that are machine-readable and suitable for input in any software program, such as laboratory information systems.</p>
<p>On this page, we explain how to download them and how the structure of the data sets look like.</p>
<p>All reference data (about microorganisms, antibiotics, R/SI
interpretation, EUCAST rules, etc.) in this <code>AMR</code> package are
reliable, up-to-date and freely available. We continually export our
data sets to formats for use in R, SPSS, SAS, Stata and Excel. We also
supply tab separated files that are machine-readable and suitable for
input in any software program, such as laboratory information
systems.</p>
<p>On this page, we explain how to download them and how the structure
of the data sets look like.</p>
<pclass="dataset-within-r">
If you are reading this page from within R, please <ahref="https://msberends.github.io/AMR/articles/datasets.html">visit our website</a>, which is automatically updated with every code change.
If you are reading this page from within R, please
<p>A data set with 70,760 rows and 16 columns, containing the following column names:<br><em>mo</em>, <em>fullname</em>, <em>kingdom</em>, <em>phylum</em>, <em>class</em>, <em>order</em>, <em>family</em>, <em>genus</em>, <em>species</em>, <em>subspecies</em>, <em>rank</em>, <em>ref</em>, <em>species_id</em>, <em>source</em>, <em>prevalence</em> and <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 1 February 2022 22:08:20 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p>A data set with 70,760 rows and 16 columns, containing the following
<em>species_id</em>, <em>source</em>, <em>prevalence</em> and
<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 29 November 2021 11:38:23 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.rds"class="external-link">R file</a> (1.3 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.rds"class="external-link">R
file</a> (1.3 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.xlsx"class="external-link">Excel file</a> (6.4 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.xlsx"class="external-link">Excel
file</a> (6.4 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.txt"class="external-link">plain text file</a> (13.1 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.txt"class="external-link">plain
text file</a> (13.1 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sas"class="external-link">SAS file</a> (30.7 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sas"class="external-link">SAS
file</a> (30.7 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sav"class="external-link">SPSS file</a> (16.3 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.sav"class="external-link">SPSS
file</a> (16.3 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.dta"class="external-link">Stata file</a> (27.5 MB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.dta"class="external-link">Stata
file</a> (27.5 MB)</li>
</ul>
<p><strong>NOTE: The exported files for SAS, SPSS and Stata do not contain SNOMED codes, as their file size would exceed 100 MB; the file size limit of GitHub.</strong> Advice? Use R instead.</p>
<p><strong>NOTE: The exported files for SAS, SPSS and Stata do not
contain SNOMED codes, as their file size would exceed 100 MB; the file
size limit of GitHub.</strong> Advice? Use R instead.</p>
<p>Our full taxonomy of microorganisms is based on the authoritative and comprehensive:</p>
<p>Our full taxonomy of microorganisms is based on the authoritative and
comprehensive:</p>
<ul>
<li>
<ahref="http://www.catalogueoflife.org"class="external-link">Catalogue of Life</a> (included version: 2019)</li>
<ahref="http://www.catalogueoflife.org"class="external-link">Catalogue of Life</a>
(included version: 2019)</li>
<li>
<ahref="https://lpsn.dsmz.de"class="external-link">List of Prokaryotic names with Standing in Nomenclature</a> (LPSN, last updated: 5 October 2021)</li>
<li>US Edition of SNOMED CT from 1 September 2020, retrieved from the <ahref="https://phinvads.cdc.gov/vads/ViewValueSet.action?oid=2.16.840.1.114222.4.11.1009"class="external-link">Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS)</a>, OID 2.16.840.1.114222.4.11.1009, version 12</li>
<ahref="https://lpsn.dsmz.de"class="external-link">List of Prokaryotic names with
Standing in Nomenclature</a> (LPSN, last updated: 5 October 2021)</li>
<li>US Edition of SNOMED CT from 1 September 2020, retrieved from the <ahref="https://phinvads.cdc.gov/vads/ViewValueSet.action?oid=2.16.840.1.114222.4.11.1009"class="external-link">Public
Health Information Network Vocabulary Access and Distribution System
(PHIN VADS)</a>, OID 2.16.840.1.114222.4.11.1009, version 12</li>
</ul>
</div>
<divclass="section level3">
@ -427,40 +456,64 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -427,40 +456,64 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<p>A data set with 14,338 rows and 4 columns, containing the following column names:<br><em>fullname</em>, <em>fullname_new</em>, <em>ref</em> and <em>prevalence</em>.</p>
<p><strong>Note:</strong> remember that the ‘ref’ columns contains the scientific reference to the old taxonomic entries, i.e.of column <em>‘fullname’</em>. For the scientific reference of the new names, i.e.of column <em>‘fullname_new’</em>, see the <code>microorganisms</code> data set.</p>
<p>This data set is in R available as <code>microorganisms.old</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 1 February 2022 22:08:19 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/microorganisms.old.html">here</a>.</p>
<p>A data set with 14,338 rows and 4 columns, containing the following
column names:<br><em>fullname</em>, <em>fullname_new</em>, <em>ref</em> and
<em>prevalence</em>.</p>
<p><strong>Note:</strong> remember that the ‘ref’ columns contains the
scientific reference to the old taxonomic entries, i.e.of column
<em>‘fullname’</em>. For the scientific reference of the new names,
i.e.of column <em>‘fullname_new’</em>, see the
<code>microorganisms</code> data set.</p>
<p>This data set is in R available as <code>microorganisms.old</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 6 October 2021 14:38:29 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/microorganisms.old.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.rds"class="external-link">R file</a> (0.2 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.rds"class="external-link">R
file</a> (0.2 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.xlsx"class="external-link">Excel file</a> (0.5 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.xlsx"class="external-link">Excel
file</a> (0.5 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.txt"class="external-link">plain text file</a> (1 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.txt"class="external-link">plain
text file</a> (1 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.sas"class="external-link">SAS file</a> (2.1 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.sas"class="external-link">SAS
file</a> (2.1 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.sav"class="external-link">SPSS file</a> (1.3 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.sav"class="external-link">SPSS
file</a> (1.3 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.dta"class="external-link">Stata file</a> (2 MB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/microorganisms.old.dta"class="external-link">Stata
<p>This data set contains old, previously accepted taxonomic names. The data sources are the same as the <code>microorganisms</code> data set:</p>
<p>This data set contains old, previously accepted taxonomic names. The
data sources are the same as the <code>microorganisms</code> data
set:</p>
<ul>
<li>
<ahref="http://www.catalogueoflife.org"class="external-link">Catalogue of Life</a> (included version: 2019)</li>
<ahref="http://www.catalogueoflife.org"class="external-link">Catalogue of Life</a>
(included version: 2019)</li>
<li>
<ahref="https://lpsn.dsmz.de"class="external-link">List of Prokaryotic names with Standing in Nomenclature</a> (LPSN, last updated: 5 October 2021)</li>
<ahref="https://lpsn.dsmz.de"class="external-link">List of Prokaryotic names with
Standing in Nomenclature</a> (LPSN, last updated: 5 October 2021)</li>
<p>Example rows when filtering on <em>Escherichia</em>:</p>
<tableclass="table">
<tablestyle="width:100%;"class="table">
<colgroup>
<colwidth="31%">
<colwidth="30%">
<colwidth="24%">
<colwidth="13%">
</colgroup>
<thead><trclass="header">
<thalign="center">fullname</th>
<thalign="center">fullname_new</th>
@ -493,31 +546,50 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -493,31 +546,50 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<p>A data set with 464 rows and 14 columns, containing the following column names:<br><em>ab</em>, <em>cid</em>, <em>name</em>, <em>group</em>, <em>atc</em>, <em>atc_group1</em>, <em>atc_group2</em>, <em>abbreviations</em>, <em>synonyms</em>, <em>oral_ddd</em>, <em>oral_units</em>, <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 1 February 2022 22:08:19 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p>A data set with 464 rows and 14 columns, containing the following
<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 December 2021 21:59:33 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.rds"class="external-link">R file</a> (33 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.rds"class="external-link">R
file</a> (33 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.xlsx"class="external-link">Excel file</a> (65 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.xlsx"class="external-link">Excel
file</a> (65 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.txt"class="external-link">plain text file</a> (0.1 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.txt"class="external-link">plain
text file</a> (0.1 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.sas"class="external-link">SAS file</a> (1.8 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.sas"class="external-link">SAS
file</a> (1.8 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.sav"class="external-link">SPSS file</a> (0.3 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.sav"class="external-link">SPSS
file</a> (0.3 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.dta"class="external-link">Stata file</a> (0.3 MB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antibiotics.dta"class="external-link">Stata
<p>This data set contains all EARS-Net and ATC codes gathered from WHO and WHONET, and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.</p>
<p>This data set contains all EARS-Net and ATC codes gathered from WHO
and WHONET, and all compound IDs from PubChem. It also contains all
brand names (synonyms) as found on PubChem and Defined Daily Doses
(DDDs) for oral and parenteral administration.</p>
<ul>
<li>
<ahref="https://www.whocc.no/atc_ddd_index/"class="external-link">ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology</a> (note: this may not be used for commercial purposes, but is freely available from the WHO CC website for personal use)</li>
<li><ahref="https://pubchem.ncbi.nlm.nih.gov"class="external-link">PubChem by the US National Library of Medicine</a></li>
<ahref="https://www.whocc.no/atc_ddd_index/"class="external-link">ATC/DDD index from WHO
Collaborating Centre for Drug Statistics Methodology</a> (note: this may
not be used for commercial purposes, but is freely available from the
WHO CC website for personal use)</li>
<li><ahref="https://pubchem.ncbi.nlm.nih.gov"class="external-link">PubChem by the US
@ -597,7 +669,8 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -597,7 +669,8 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@ -661,31 +734,49 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -661,31 +734,49 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<p>A data set with 102 rows and 9 columns, containing the following column names:<br><em>atc</em>, <em>cid</em>, <em>name</em>, <em>atc_group</em>, <em>synonyms</em>, <em>oral_ddd</em>, <em>oral_units</em>, <em>iv_ddd</em> and <em>iv_units</em>.</p>
<p>This data set is in R available as <code>antivirals</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 23 July 2021 20:35:47 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p>A data set with 102 rows and 9 columns, containing the following
<p>This data set is in R available as <code>antivirals</code>, after you
load the <code>AMR</code> package.</p>
<p>It was last updated on 29 August 2020 19:53:07 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.rds"class="external-link">R file</a> (5 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.rds"class="external-link">R
file</a> (5 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.xlsx"class="external-link">Excel file</a> (14 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.xlsx"class="external-link">Excel
file</a> (14 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.txt"class="external-link">plain text file</a> (16 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.txt"class="external-link">plain
text file</a> (16 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sas"class="external-link">SAS file</a> (80 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sas"class="external-link">SAS
file</a> (80 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sav"class="external-link">SPSS file</a> (68 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.sav"class="external-link">SPSS
file</a> (68 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.dta"class="external-link">Stata file</a> (67 kB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/antivirals.dta"class="external-link">Stata
<p>This data set contains all ATC codes gathered from WHO and all compound IDs from PubChem. It also contains all brand names (synonyms) as found on PubChem and Defined Daily Doses (DDDs) for oral and parenteral administration.</p>
<p>This data set contains all ATC codes gathered from WHO and all
compound IDs from PubChem. It also contains all brand names (synonyms)
as found on PubChem and Defined Daily Doses (DDDs) for oral and
parenteral administration.</p>
<ul>
<li>
<ahref="https://www.whocc.no/atc_ddd_index/"class="external-link">ATC/DDD index from WHO Collaborating Centre for Drug Statistics Methodology</a> (note: this may not be used for commercial purposes, but is freely available from the WHO CC website for personal use)</li>
<li><ahref="https://pubchem.ncbi.nlm.nih.gov"class="external-link">PubChem by the US National Library of Medicine</a></li>
<ahref="https://www.whocc.no/atc_ddd_index/"class="external-link">ATC/DDD index from WHO
Collaborating Centre for Drug Statistics Methodology</a> (note: this may
not be used for commercial purposes, but is freely available from the
WHO CC website for personal use)</li>
<li><ahref="https://pubchem.ncbi.nlm.nih.gov"class="external-link">PubChem by the US
National Library of Medicine</a></li>
</ul>
</div>
<divclass="section level3">
@ -719,7 +810,8 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -719,7 +810,8 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<tdalign="center">J05AF06</td>
<tdalign="center">441300</td>
<tdalign="center">Abacavir</td>
<tdalign="center">Nucleoside and nucleotide reverse transcriptase inhibitors</td>
<tdalign="center">Nucleoside and nucleotide reverse transcriptase
@ -730,7 +822,8 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -730,7 +822,8 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<tdalign="center">J05AB01</td>
<tdalign="center">135398513</td>
<tdalign="center">Aciclovir</td>
<tdalign="center">Nucleosides and nucleotides excl. reverse transcriptase inhibitors</td>
<tdalign="center">Nucleosides and nucleotides excl. reverse
@ -741,8 +834,10 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -741,8 +834,10 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<tdalign="center">J05AF08</td>
<tdalign="center">60871</td>
<tdalign="center">Adefovir dipivoxil</td>
<tdalign="center">Nucleoside and nucleotide reverse transcriptase inhibitors</td>
<tdalign="center">Adefovir di ester, Adefovir dipivoxil, Adefovir Dipivoxil, …</td>
<tdalign="center">Nucleoside and nucleotide reverse transcriptase
inhibitors</td>
<tdalign="center">Adefovir di ester, Adefovir dipivoxil, Adefovir
Dipivoxil, …</td>
<tdalign="center">10.0</td>
<tdalign="center">mg</td>
<tdalign="center"></td>
@ -788,27 +883,39 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -788,27 +883,39 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<p>A data set with 134,956 rows and 2 columns, containing the following column names:<br><em>mo</em> and <em>ab</em>.</p>
<p>This data set is in R available as <code>intrinsic_resistant</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 1 February 2022 22:08:19 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/intrinsic_resistant.html">here</a>.</p>
<p>A data set with 134,956 rows and 2 columns, containing the following
column names:<br><em>mo</em> and <em>ab</em>.</p>
<p>This data set is in R available as <code>intrinsic_resistant</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 14 December 2021 21:59:33 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/intrinsic_resistant.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.rds"class="external-link">R file</a> (78 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.rds"class="external-link">R
file</a> (78 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.xlsx"class="external-link">Excel file</a> (0.9 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.xlsx"class="external-link">Excel
file</a> (0.9 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.txt"class="external-link">plain text file</a> (5.1 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.txt"class="external-link">plain
text file</a> (5.1 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sas"class="external-link">SAS file</a> (10.4 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sas"class="external-link">SAS
file</a> (10.4 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sav"class="external-link">SPSS file</a> (7.4 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.sav"class="external-link">SPSS
file</a> (7.4 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.dta"class="external-link">Stata file</a> (10.2 MB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/intrinsic_resistant.dta"class="external-link">Stata
<p>This data set contains all defined intrinsic resistance by EUCAST of all bug-drug combinations, and is based on <ahref="https://www.eucast.org/expert_rules_and_expected_phenotypes/"class="external-link">‘EUCAST Expert Rules’ and ‘EUCAST Intrinsic Resistance and Unusual Phenotypes’ v3.3</a> (2021).</p>
<p>This data set contains all defined intrinsic resistance by EUCAST of
all bug-drug combinations, and is based on <ahref="https://www.eucast.org/expert_rules_and_intrinsic_resistance/"class="external-link">‘EUCAST
Expert Rules’ and ‘EUCAST Intrinsic Resistance and Unusual Phenotypes’
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@@ -1055,27 +1162,40 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<divclass="section level2">
<h2id="interpretation-from-mic-values-disk-diameters-to-rsi">Interpretation from MIC values / disk diameters to R/SI<aclass="anchor"aria-label="anchor"href="#interpretation-from-mic-values-disk-diameters-to-rsi"></a>
</h2>
<p>A data set with 20,318 rows and 11 columns, containing the following column names:<br><em>guideline</em>, <em>method</em>, <em>site</em>, <em>mo</em>, <em>rank_index</em>, <em>ab</em>, <em>ref_tbl</em>, <em>disk_dose</em>, <em>breakpoint_S</em>, <em>breakpoint_R</em> and <em>uti</em>.</p>
<p>This data set is in R available as <code>rsi_translation</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 1 February 2022 22:08:20 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/rsi_translation.html">here</a>.</p>
<p>A data set with 20,318 rows and 11 columns, containing the following
<em>breakpoint_S</em>, <em>breakpoint_R</em> and <em>uti</em>.</p>
<p>This data set is in R available as <code>rsi_translation</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 14 December 2021 21:59:33 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/rsi_translation.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.rds"class="external-link">R file</a> (39 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.rds"class="external-link">R
file</a> (39 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.xlsx"class="external-link">Excel file</a> (0.7 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.xlsx"class="external-link">Excel
file</a> (0.7 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.txt"class="external-link">plain text file</a> (1.7 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.txt"class="external-link">plain
text file</a> (1.7 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.sas"class="external-link">SAS file</a> (3.6 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.sas"class="external-link">SAS
file</a> (3.6 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.sav"class="external-link">SPSS file</a> (2.2 MB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.sav"class="external-link">SPSS
file</a> (2.2 MB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.dta"class="external-link">Stata file</a> (3.4 MB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/rsi_translation.dta"class="external-link">Stata
<p>This data set contains interpretation rules for MIC values and disk diffusion diameters. Included guidelines are CLSI (2010-2021) and EUCAST (2011-2021).</p>
<p>This data set contains interpretation rules for MIC values and disk
diffusion diameters. Included guidelines are CLSI (2010-2021) and EUCAST
@ -1193,33 +1313,57 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -1193,33 +1313,57 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<divclass="section level2">
<h2id="dosage-guidelines-from-eucast">Dosage guidelines from EUCAST<aclass="anchor"aria-label="anchor"href="#dosage-guidelines-from-eucast"></a>
</h2>
<p>A data set with 169 rows and 9 columns, containing the following column names:<br><em>ab</em>, <em>name</em>, <em>type</em>, <em>dose</em>, <em>dose_times</em>, <em>administration</em>, <em>notes</em>, <em>original_txt</em> and <em>eucast_version</em>.</p>
<p>This data set is in R available as <code>dosage</code>, after you load the <code>AMR</code> package.</p>
<p>It was last updated on 23 July 2021 20:35:47 UTC. Find more info about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/dosage.html">here</a>.</p>
<p>A data set with 169 rows and 9 columns, containing the following
<em>original_txt</em> and <em>eucast_version</em>.</p>
<p>This data set is in R available as <code>dosage</code>, after you
load the <code>AMR</code> package.</p>
<p>It was last updated on 25 January 2021 20:58:20 UTC. Find more info
about the structure of this data set <ahref="https://msberends.github.io/AMR/reference/dosage.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.rds"class="external-link">R file</a> (3 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.rds"class="external-link">R
file</a> (3 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.xlsx"class="external-link">Excel file</a> (14 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.xlsx"class="external-link">Excel
file</a> (14 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.txt"class="external-link">plain text file</a> (15 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.txt"class="external-link">plain
text file</a> (15 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sas"class="external-link">SAS file</a> (52 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sas"class="external-link">SAS
file</a> (52 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sav"class="external-link">SPSS file</a> (45 kB)<br>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.sav"class="external-link">SPSS
file</a> (45 kB)<br>
</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.dta"class="external-link">Stata file</a> (44 kB)</li>
<li>Download as <ahref="https://github.com/msberends/AMR/raw/main/data-raw/../data-raw/dosage.dta"class="external-link">Stata
<p>EUCAST breakpoints used in this package are based on the dosages in this data set.</p>
<p>Currently included dosages in the data set are meant for: <ahref="https://www.eucast.org/clinical_breakpoints/"class="external-link">‘EUCAST Clinical Breakpoint Tables’ v11.0</a> (2021).</p>
<p>EUCAST breakpoints used in this package are based on the dosages in
this data set.</p>
<p>Currently included dosages in the data set are meant for: <ahref="https://www.eucast.org/clinical_breakpoints/"class="external-link">‘EUCAST Clinical
@ -1316,12 +1460,14 @@ If you are reading this page from within R, please <a href="https://msberends.gi
@@ -1316,12 +1460,14 @@ If you are reading this page from within R, please <a href="https://msberends.gi
<footer><divclass="copyright">
<p></p>
<p>Developed by Matthijs S. Berends, Christian F. Luz, Dennis Souverein, Erwin E. A. Hassing.</p>
<p>Developed by Matthijs S. Berends, Christian F. Luz, Dennis Souverein,
Erwin E. A. Hassing.</p>
</div>
<divclass="pkgdown">
<p></p>
<p>Site built with <ahref="https://pkgdown.r-lib.org/"class="external-link">pkgdown</a> 2.0.2.</p>
<p>Site built with <ahref="https://pkgdown.r-lib.org/"class="external-link">pkgdown</a>
<p>Update: The latest <ahref="https://www.eucast.org/expert_rules_and_intrinsic_resistance/"class="external-link">EUCAST guideline for intrinsic resistance</a> (v3.3, October 2021) is now supported, the CLSI 2021 interpretation guideline is now supported, and our taxonomy tables have been updated as well (LPSN, 5 October 2021).</p>
<p>Update March 2022: All functions in this package are considered to be
stable. Updates to the AMR interpretation rules (such as by EUCAST and
CLSI), the microbial taxonomy, and the antibiotic dosages will all be
updated every 6 to 12 months.</p>
</blockquote>
<divclass="section level3">
<h3id="what-is-amr-for-r">What is <code>AMR</code> (for R)?<aclass="anchor"aria-label="anchor"href="#what-is-amr-for-r"></a>
</h3>
<p><code>AMR</code> is a free, open-source and independent <ahref="https://www.r-project.org"class="external-link">R package</a> (see <ahref="#copyright">Copyright</a>) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. <strong>Our aim is to provide a standard</strong> for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting.</p>
<p>After installing this package, R knows <ahref="./reference/microorganisms.html"><strong>~71,000 distinct microbial species</strong></a> and all <ahref="./reference/antibiotics.html"><strong>~570 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, WHONET/EARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid R/SI and MIC values. It supports any data format, including WHONET/EARS-Net data.</p>
<p>The <code>AMR</code> package is available in <imgsrc="lang_da.svg"style="height: 11px !important; vertical-align: initial !important;"> Danish, <imgsrc="lang_nl.svg"style="height: 11px !important; vertical-align: initial !important;"> Dutch, <imgsrc="lang_en.svg"style="height: 11px !important; vertical-align: initial !important;"> English, <imgsrc="lang_fr.svg"style="height: 11px !important; vertical-align: initial !important;"> French, <imgsrc="lang_de.svg"style="height: 11px !important; vertical-align: initial !important;"> German, <imgsrc="lang_it.svg"style="height: 11px !important; vertical-align: initial !important;"> Italian, <imgsrc="lang_pt.svg"style="height: 11px !important; vertical-align: initial !important;"> Portuguese, <imgsrc="lang_ru.svg"style="height: 11px !important; vertical-align: initial !important;"> Russian, <imgsrc="lang_es.svg"style="height: 11px !important; vertical-align: initial !important;"> Spanish and <imgsrc="lang_sv.svg"style="height: 11px !important; vertical-align: initial !important;"> Swedish. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages.</p>
<p>This package is <ahref="https://en.wikipedia.org/wiki/Dependency_hell"class="external-link">fully independent of any other R package</a> and works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <ahref="https://www.rug.nl"class="external-link">University of Groningen</a>, in collaboration with non-profit organisations <ahref="https://www.certe.nl"class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <ahref="https://www.umcg.nl"class="external-link">University Medical Center Groningen</a>. This R package formed the basis of two PhD theses (<ahref="https://doi.org/10.33612/diss.177417131"class="external-link">DOI 10.33612/diss.177417131</a> and <ahref="https://doi.org/10.33612/diss.192486375"class="external-link">DOI 10.33612/diss.192486375</a>) but is <ahref="./news">actively and durably maintained</a> by two public healthcare organisations in the Netherlands.</p>
<p><code>AMR</code> is a free, open-source and independent <ahref="https://www.r-project.org"class="external-link">R package</a> (see <ahref="#copyright">Copyright</a>) to simplify the analysis and prediction
of Antimicrobial Resistance (AMR) and to work with microbial and
antimicrobial data and properties, by using evidence-based methods.
<strong>Our aim is to provide a standard</strong> for clean and
reproducible AMR data analysis, that can therefore empower
epidemiological analyses to continuously enable surveillance and
treatment evaluation in any setting.</p>
<p>After installing this package, R knows <ahref="./reference/microorganisms.html"><strong>~71,000 distinct
microbial species</strong></a> and all <ahref="./reference/antibiotics.html"><strong>~570 antibiotic, antimycotic
and antiviral drugs</strong></a> by name and code (including ATC,
WHONET/EARS-Net, PubChem, LOINC and SNOMED CT), and knows all about
valid R/SI and MIC values. It supports any data format, including
Swedish. Antimicrobial drug (group) names and colloquial microorganism
names are provided in these languages.</p>
<p>This package is <ahref="https://en.wikipedia.org/wiki/Dependency_hell"class="external-link">fully independent
of any other R package</a> and works on Windows, macOS and Linux with
all versions of R since R-3.0 (April 2013). <strong>It was designed to
work in any setting, including those with very limited
resources</strong>. It was created for both routine data analysis and
academic research at the Faculty of Medical Sciences of the <ahref="https://www.rug.nl"class="external-link">University of Groningen</a>, in collaboration
with non-profit organisations <ahref="https://www.certe.nl"class="external-link">Certe
Medical Diagnostics and Advice Foundation</a> and <ahref="https://www.umcg.nl"class="external-link">University Medical Center Groningen</a>. This
R package formed the basis of two PhD theses (<ahref="https://doi.org/10.33612/diss.177417131"class="external-link">DOI
10.33612/diss.177417131</a> and <ahref="https://doi.org/10.33612/diss.192486375"class="external-link">DOI
10.33612/diss.192486375</a>) but is <ahref="./news">actively and
durably maintained</a> by two public healthcare organisations in the
<ahref="./countries_large.png"target="_blank"><imgsrc="./countries.png"class="countries_map"></a><strong>Used in 175 countries</strong><br> Since its first public release in early 2018, this R package has been used in almost all countries in the world. Click the map to enlarge and to see the country names.
<strong>Used in 175 countries</strong><br> Since its first public
release in early 2018, this R package has been used in almost all
countries in the world. Click the map to enlarge and to see the country
names.
</p>
</div>
<divclass="section level5">
<h5id="with-amr-for-r-theres-always-a-knowledgeable-microbiologist-by-your-side">With <code>AMR</code> (for R), there’s always a knowledgeable microbiologist by your side!<aclass="anchor"aria-label="anchor"href="#with-amr-for-r-theres-always-a-knowledgeable-microbiologist-by-your-side"></a>
<h5id="with-amr-for-r-theres-always-a-knowledgeable-microbiologist-by-your-side">With <code>AMR</code> (for R), there’s always a knowledgeable
microbiologist by your side!<aclass="anchor"aria-label="anchor"href="#with-amr-for-r-theres-always-a-knowledgeable-microbiologist-by-your-side"></a>
<p>With only having defined a row filter on Gram-negative bacteria with intrinsic resistance to cefotaxime (<code><ahref="reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><ahref="reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>) and a column selection on two antibiotic groups (<code><ahref="reference/antibiotic_class_selectors.html">aminoglycosides()</a></code> and <code><ahref="reference/antibiotic_class_selectors.html">carbapenems()</a></code>), the reference data about <ahref="./reference/microorganisms.html">all microorganisms</a> and <ahref="./reference/antibiotics.html">all antibiotics</a> in the <code>AMR</code> package make sure you get what you meant:</p>
<p>With only having defined a row filter on Gram-negative bacteria with
intrinsic resistance to cefotaxime (<code><ahref="reference/mo_property.html">mo_is_gram_negative()</a></code>
and <code><ahref="reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>) and a column selection on
two antibiotic groups (<code><ahref="reference/antibiotic_class_selectors.html">aminoglycosides()</a></code> and
<code><ahref="reference/antibiotic_class_selectors.html">carbapenems()</a></code>), the reference data about <ahref="./reference/microorganisms.html">all microorganisms</a> and <ahref="./reference/antibiotics.html">all antibiotics</a> in the
<code>AMR</code> package make sure you get what you meant:</p>
<p>The development of this package is part of, related to, or made possible by:</p>
<p>The development of this package is part of, related to, or made
possible by:</p>
<divalign="center">
<p><ahref="https://www.rug.nl"title="University of Groningen"class="external-link"><imgsrc="./logo_rug.png"class="partner_logo"></a><ahref="https://www.umcg.nl"title="University Medical Center Groningen"class="external-link"><imgsrc="./logo_umcg.png"class="partner_logo"></a><ahref="https://www.certe.nl"title="Certe Medical Diagnostics and Advice Foundation"class="external-link"><imgsrc="./logo_certe.png"class="partner_logo"></a><ahref="https://www.deutschland-nederland.eu"title="EurHealth-1-Health"class="external-link"><imgsrc="./logo_eh1h.png"class="partner_logo"></a><ahref="https://www.deutschland-nederland.eu"title="INTERREG"class="external-link"><imgsrc="./logo_interreg.png"class="partner_logo"></a></p>
<p><ahref="https://www.rug.nl"title="University of Groningen"class="external-link"><imgsrc="./logo_rug.png"class="partner_logo"></a>
<ahref="https://www.umcg.nl"title="University Medical Center Groningen"class="external-link"><imgsrc="./logo_umcg.png"class="partner_logo"></a>
<ahref="https://www.certe.nl"title="Certe Medical Diagnostics and Advice Foundation"class="external-link"><imgsrc="./logo_certe.png"class="partner_logo"></a>
<li>Reference for the taxonomy of microorganisms, since the package contains all microbial (sub)species from the <ahref="http://www.catalogueoflife.org"class="external-link">Catalogue of Life</a> and <ahref="https://lpsn.dsmz.de"class="external-link">List of Prokaryotic names with Standing in Nomenclature</a> (<ahref="./reference/mo_property.html">manual</a>)</li>
<li>Interpreting raw MIC and disk diffusion values, based on the latest CLSI or EUCAST guidelines (<ahref="./reference/as.rsi.html">manual</a>)</li>
<li>Retrieving antimicrobial drug names, doses and forms of administration from clinical health care records (<ahref="./reference/ab_from_text.html">manual</a>)</li>
<li>Reference for the taxonomy of microorganisms, since the package
contains all microbial (sub)species from the <ahref="http://www.catalogueoflife.org"class="external-link">Catalogue of Life</a> and <ahref="https://lpsn.dsmz.de"class="external-link">List of Prokaryotic names with Standing in
<li>Calculating (empirical) susceptibility of both mono therapy and combination therapies (<ahref="./articles/AMR.html">tutorial</a>)</li>
<li>Predicting future antimicrobial resistance using regression models (<ahref="./articles/resistance_predict.html">tutorial</a>)</li>
<li>Getting properties for any microorganism (like Gram stain, species, genus or family) (<ahref="./reference/mo_property.html">manual</a>)</li>
<li>Getting properties for any antibiotic (like name, code of EARS-Net/ATC/LOINC/PubChem, defined daily dose or trade name) (<ahref="./reference/ab_property.html">manual</a>)</li>
<li>Getting SNOMED codes of a microorganism, or getting properties of a microorganism based on a SNOMED code (<ahref="./reference/mo_property.html">manual</a>)</li>
<li>Getting LOINC codes of an antibiotic, or getting properties of an antibiotic based on a LOINC code (<ahref="./reference/ab_property.html">manual</a>)</li>
<li>Machine reading the EUCAST and CLSI guidelines from 2011-2021 to translate MIC values and disk diffusion diameters to R/SI (<ahref="./articles/datasets.html">link</a>)</li>
<li>Getting SNOMED codes of a microorganism, or getting properties of a
microorganism based on a SNOMED code (<ahref="./reference/mo_property.html">manual</a>)</li>
<li>Getting LOINC codes of an antibiotic, or getting properties of an
antibiotic based on a LOINC code (<ahref="./reference/ab_property.html">manual</a>)</li>
<li>Machine reading the EUCAST and CLSI guidelines from 2011-2021 to
translate MIC values and disk diffusion diameters to R/SI (<ahref="./articles/datasets.html">link</a>)</li>
<li>Principal component analysis for AMR (<ahref="./articles/PCA.html">tutorial</a>)</li>
</ul>
</div>
@ -374,17 +448,24 @@
@@ -374,17 +448,24 @@
<h4id="latest-released-version">Latest released version<aclass="anchor"aria-label="anchor"href="#latest-released-version"></a>
<p>This package is available <ahref="https://cran.r-project.org/package=AMR"class="external-link">here on the official R network (CRAN)</a>. Install this package in R from CRAN by using the command:</p>
<p>This package is available <ahref="https://cran.r-project.org/package=AMR"class="external-link">here on the official R
network (CRAN)</a>. Install this package in R from CRAN by using the
<p>It will be downloaded and installed automatically. For RStudio, click on the menu <em>Tools</em>><em>Install Packages…</em> and then type in “AMR” and press <kbd>Install</kbd>.</p>
<p><strong>Note:</strong> Not all functions on this website may be available in this latest release. To use all functions and data sets mentioned on this website, install the latest development version.</p>
<p>It will be downloaded and installed automatically. For RStudio, click
on the menu <em>Tools</em>><em>Install Packages…</em> and then type
in “AMR” and press <kbd>Install</kbd>.</p>
<p><strong>Note:</strong> Not all functions on this website may be
available in this latest release. To use all functions and data sets
mentioned on this website, install the latest development version.</p>
</div>
<divclass="section level4">
<h4id="latest-development-version">Latest development version<aclass="anchor"aria-label="anchor"href="#latest-development-version"></a>
<p>Automatically, using the <ahref="https://ropensci.org/r-universe/"class="external-link">rOpenSci R-universe platform</a>, by adding <ahref="https://msberends.r-universe.dev"class="external-link">our R-universe address</a> to your list of repositories (‘repos’):</p>
<p>Automatically, using the <ahref="https://ropensci.org/r-universe/"class="external-link">rOpenSci R-universe
platform</a>, by adding <ahref="https://msberends.r-universe.dev"class="external-link">our
R-universe address</a> to your list of repositories (‘repos’):</p>
<p>After this, you can install and update this <code>AMR</code> package like any official release (e.g., using <code>install.packages("AMR")</code> or in RStudio via <em>Tools</em>><em>Check for Package Updates…</em>).</p>
<p>After this, you can install and update this <code>AMR</code> package
like any official release (e.g., using
<code>install.packages("AMR")</code> or in RStudio via <em>Tools</em>
><em>Check for Package Updates…</em>).</p>
</li>
</ol>
<p>You can also download the latest build from our repository: <ahref="https://github.com/msberends/AMR/raw/main/data-raw/AMR_latest.tar.gz"class="external-link uri">https://github.com/msberends/AMR/raw/main/data-raw/AMR_latest.tar.gz</a></p>
<p>To find out how to conduct AMR data analysis, please <ahref="./articles/AMR.html">continue reading here to get started</a> or click a link in the <ahref="https://msberends.github.io/AMR/articles/">‘How to’ menu</a>.</p>
<p>To find out how to conduct AMR data analysis, please <ahref="./articles/AMR.html">continue reading here to get started</a> or
click a link in the <ahref="https://msberends.github.io/AMR/articles/">‘How to’ menu</a>.</p>
<p>This package contains the complete taxonomic tree of almost all ~71,000 microorganisms from the authoritative and comprehensive Catalogue of Life (CoL, <ahref="http://www.catalogueoflife.org"class="external-link">www.catalogueoflife.org</a>), supplemented by data from the List of Prokaryotic names with Standing in Nomenclature (LPSN, <ahref="https://lpsn.dsmz.de"class="external-link">lpsn.dsmz.de</a>). This supplementation is needed until the <ahref="https://github.com/Sp2000/colplus"class="external-link">CoL+ project</a> is finished, which we await. With <code><ahref="reference/catalogue_of_life_version.html">catalogue_of_life_version()</a></code> can be checked which version of the CoL is included in this package.</p>
<p>This package contains the complete taxonomic tree of almost all
~71,000 microorganisms from the authoritative and comprehensive
Catalogue of Life (CoL, <ahref="http://www.catalogueoflife.org"class="external-link">www.catalogueoflife.org</a>),
supplemented by data from the List of Prokaryotic names with Standing in
<p>This package contains <strong>all ~570 antibiotic, antimycotic and antiviral drugs</strong> and their Anatomical Therapeutic Chemical (ATC) codes, ATC groups and Defined Daily Dose (DDD, oral and IV) from the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC, <ahref="https://www.whocc.no"class="external-link uri">https://www.whocc.no</a>) and the <ahref="https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm"class="external-link">Pharmaceuticals Community Register of the European Commission</a>.</p>
<p><strong>NOTE: The WHOCC copyright does not allow use for commercial purposes, unlike any other info from this package. See <ahref="https://www.whocc.no/copyright_disclaimer/"class="external-link uri">https://www.whocc.no/copyright_disclaimer/</a>.</strong></p>
<p>This package contains <strong>all ~570 antibiotic, antimycotic and
antiviral drugs</strong> and their Anatomical Therapeutic Chemical (ATC)
codes, ATC groups and Defined Daily Dose (DDD, oral and IV) from the
World Health Organization Collaborating Centre for Drug Statistics
Methodology (WHOCC, <ahref="https://www.whocc.no"class="external-link uri">https://www.whocc.no</a>) and the <ahref="https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm"class="external-link">Pharmaceuticals
Community Register of the European Commission</a>.</p>
<p><strong>NOTE: The WHOCC copyright does not allow use for commercial
purposes, unlike any other info from this package. See <ahref="https://www.whocc.no/copyright_disclaimer/"class="external-link uri">https://www.whocc.no/copyright_disclaimer/</a>.</strong></p>
<p>Read more about the data from WHOCC <ahref="./reference/WHOCC.html">in our manual</a>.</p>
<p>We support WHONET and EARS-Net data. Exported files from WHONET can be imported into R and can be analysed easily using this package. For education purposes, we created an <ahref="./reference/WHONET.html">example data set <code>WHONET</code></a> with the exact same structure as a WHONET export file. Furthermore, this package also contains a <ahref="./reference/antibiotics.html">data set antibiotics</a> with all EARS-Net antibiotic abbreviations, and knows almost all WHONET abbreviations for microorganisms. When using WHONET data as input for analysis, all input parameters will be set automatically.</p>
<p>Read our tutorial about <ahref="./articles/WHONET.html">how to work with WHONET data here</a>.</p>
<p>We support WHONET and EARS-Net data. Exported files from WHONET can
be imported into R and can be analysed easily using this package. For
education purposes, we created an <ahref="./reference/WHONET.html">example data set <code>WHONET</code></a>
with the exact same structure as a WHONET export file. Furthermore, this
package also contains a <ahref="./reference/antibiotics.html">data set
antibiotics</a> with all EARS-Net antibiotic abbreviations, and knows
almost all WHONET abbreviations for microorganisms. When using WHONET
data as input for analysis, all input parameters will be set
automatically.</p>
<p>Read our tutorial about <ahref="./articles/WHONET.html">how to work
with WHONET data here</a>.</p>
</div>
<divclass="section level4">
<h4id="overview-of-functions">Overview of functions<aclass="anchor"aria-label="anchor"href="#overview-of-functions"></a>
