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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9050</small>
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website update since they are based on randomly created values and the
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page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
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Markdown</a>. However, the methodology remains unchanged. This page was
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generated on 15 June 2024.</p>
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generated on 16 June 2024.</p>
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<div class="section level2">
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<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
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</h2>
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@@ -261,21 +261,21 @@ make the structure of your data generally look like this:</p>
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</tr></thead>
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<tbody>
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<tr class="odd">
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<td align="center">2024-06-15</td>
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<td align="center">2024-06-16</td>
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<td align="center">abcd</td>
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<td align="center">Escherichia coli</td>
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<td align="center">S</td>
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<td align="center">S</td>
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<td align="center">2024-06-15</td>
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<td align="center">2024-06-16</td>
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<td align="center">abcd</td>
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<td align="center">Escherichia coli</td>
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<td align="center">S</td>
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<td align="center">R</td>
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</tr>
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<tr class="odd">
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<td align="center">2024-06-15</td>
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<td align="center">2024-06-16</td>
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<td align="center">efgh</td>
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<td align="center">Escherichia coli</td>
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<td align="center">R</td>
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<main id="main" class="col-md-9"><div class="page-header">
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<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
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<h4 data-toc-skip class="date">15 June 2024</h4>
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<h4 data-toc-skip class="date">16 June 2024</h4>
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<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
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<div class="d-none name"><code>datasets.Rmd</code></div>
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@@ -2176,11 +2176,11 @@ which are used in the <code>clinical_breakpoints</code> data set.</p>
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<h2 id="microorganisms-codes-common-laboratory-codes">
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<code>microorganisms.codes</code>: Common Laboratory Codes<a class="anchor" aria-label="anchor" href="#microorganisms-codes-common-laboratory-codes"></a>
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</h2>
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<p>A data set with 4 972 rows and 2 columns, containing the following
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<p>A data set with 4 971 rows and 2 columns, containing the following
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column names:<br><em>code</em> and <em>mo</em>.</p>
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<p>This data set is in R available as <code>microorganisms.codes</code>,
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after you load the <code>AMR</code> package.</p>
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<p>It was last updated on 14 June 2024 20:39:01 UTC. Find more info
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<p>It was last updated on 16 June 2024 09:28:56 UTC. Find more info
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about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.codes.html">here</a>.</p>
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<p><strong>Direct download links:</strong></p>
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<ul>
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</h1>
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</div>
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<ul>
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<li>Provides an <strong>all-in-one solution</strong> for AMR data analysis in a One Health approach</li>
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<li>Used in over 175 countries, translated into 20 languages</li>
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<li>Provides an <strong>all-in-one solution</strong> for antimicrobial resistance (AMR) data analysis in a One Health approach</li>
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<li>Used in over 175 countries, available in 20 languages</li>
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<li>Generates <strong>antibiograms</strong> - traditional, combined, syndromic, and even WISCA</li>
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<li>Provides the <strong>full microbiological taxonomy</strong> and extensive info on <strong>all antimicrobial drugs</strong>
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</li>
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<p>This work was published in the Journal of Statistical Software (Volume 104(3); <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">DOI 10.18637/jss.v104.i03</a>) and formed the basis of two PhD theses (<a href="https://doi.org/10.33612/diss.177417131" class="external-link">DOI 10.33612/diss.177417131</a> and <a href="https://doi.org/10.33612/diss.192486375" class="external-link">DOI 10.33612/diss.192486375</a>).</p>
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<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~52,000 distinct microbial species</strong></a> (updated December 2022) and all <a href="./reference/antibiotics.html"><strong>~600 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package 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 <a href="https://www.rug.nl" class="external-link">University of Groningen</a>, in collaboration with non-profit organisations <a href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
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<div class="section level5">
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<h5 id="used-in-over-175-countries-translated-into-20-languages">Used in over 175 countries, translated into 20 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-translated-into-20-languages"></a>
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<h5 id="used-in-over-175-countries-available-in-20-languages">Used in over 175 countries, available in 20 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-available-in-20-languages"></a>
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</h5>
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<p><a href="./countries_large.png" target="_blank"><img src="./countries.png" align="right" style="max-width: 300px;"></a></p>
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<p>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>
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</div>
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<div class="section level2">
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<h2 class="pkg-version" data-toc-text="2.1.1.9050" id="amr-2119050">AMR 2.1.1.9050<a class="anchor" aria-label="anchor" href="#amr-2119050"></a></h2>
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<h2 class="pkg-version" data-toc-text="2.1.1.9051" id="amr-2119051">AMR 2.1.1.9051<a class="anchor" aria-label="anchor" href="#amr-2119051"></a></h2>
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<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!)</em></p>
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<div class="section level5">
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<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9050">A New Milestone: One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9050"></a></h5>
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<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9051">A New Milestone: One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9051"></a></h5>
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<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>
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</div>
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<div class="section level3">
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<h3 id="breaking-2-1-1-9050">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9050"></a></h3>
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<h3 id="breaking-2-1-1-9051">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9051"></a></h3>
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<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>
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</ul></div>
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<div class="section level3">
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<h3 id="new-2-1-1-9050">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9050"></a></h3>
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<h3 id="new-2-1-1-9051">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9051"></a></h3>
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<ul><li>One Health implementation
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<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>
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<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>
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<li>Clinical breakpoints and intrinsic resistance of EUCAST 2024 and CLSI 2024 have been added to the <code>clinical_breakpoints</code> data set for usage in <code><a href="../reference/as.sir.html">as.sir()</a></code>. EUCAST 2024 (v14.0) is now the new default guideline for all MIC and disks diffusion interpretations.</li>
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</ul></div>
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<div class="section level3">
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<h3 id="changed-2-1-1-9050">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9050"></a></h3>
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<h3 id="changed-2-1-1-9051">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9051"></a></h3>
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<ul><li>For SIR interpretation, 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>
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<li>Extended the antibiotic selectors with <code><a href="../reference/antibiotic_class_selectors.html">nitrofurans()</a></code> and <code><a href="../reference/antibiotic_class_selectors.html">rifamycins()</a></code>
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</li>
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<li>Intermediate log2 levels used for MIC plotting are now more common values instead of following a strict dilution range</li>
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</ul></div>
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<div class="section level3">
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<h3 id="other-2-1-1-9050">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9050"></a></h3>
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<h3 id="other-2-1-1-9051">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9051"></a></h3>
|
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<ul><li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
|
||||
</ul></div>
|
||||
</div>
|
||||
|
||||
+1
-1
@@ -11,7 +11,7 @@ articles:
|
||||
resistance_predict: resistance_predict.html
|
||||
welcome_to_AMR: welcome_to_AMR.html
|
||||
WHONET: WHONET.html
|
||||
last_built: 2024-06-15T13:37Z
|
||||
last_built: 2024-06-16T09:32Z
|
||||
urls:
|
||||
reference: https://msberends.github.io/AMR/reference
|
||||
article: https://msberends.github.io/AMR/articles
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
+1
-1
@@ -24,7 +24,7 @@ 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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
+11
-11
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
@@ -222,16 +222,16 @@
|
||||
<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">#></span> birth_date age age_exact age_at_y2k</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 1 1965-12-05 58 58.52732 34</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 2 1980-03-01 44 44.28962 19</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 3 1949-11-01 74 74.62022 50</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 4 1947-02-14 77 77.33333 52</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 5 1940-02-19 84 84.31967 59</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 6 1988-01-10 36 36.42896 11</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 7 1997-08-27 26 26.80055 2</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 8 1978-01-26 46 46.38525 21</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 9 1972-06-17 51 51.99454 27</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 10 1986-08-10 37 37.84699 13</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 1 1965-12-05 58 58.53005 34</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 2 1980-03-01 44 44.29235 19</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 3 1949-11-01 74 74.62295 50</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 4 1947-02-14 77 77.33607 52</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 5 1940-02-19 84 84.32240 59</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 6 1988-01-10 36 36.43169 11</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 7 1997-08-27 26 26.80328 2</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 8 1978-01-26 46 46.38798 21</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 9 1972-06-17 51 51.99727 27</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 10 1986-08-10 37 37.84973 13</span>
|
||||
</code></pre></div>
|
||||
</div>
|
||||
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -12,7 +12,7 @@ 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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
|
||||
<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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
|
||||
+14
-14
@@ -24,7 +24,7 @@ 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="">2.1.1.9050</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</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">
|
||||
@@ -649,19 +649,19 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 13 × 15</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> datetime index ab_user mo_user ab mo method</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><dttm></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><ab></span> <span style="color: #949494; font-style: italic;"><mo></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 2024-06-15 <span style="color: #949494;">13:38:22</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 2024-06-15 <span style="color: #949494;">13:38:22</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 2024-06-15 <span style="color: #949494;">13:38:22</span> 1 CIP Escherich… CIP B_[ORD]_ENTRBCTR MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 2024-06-15 <span style="color: #949494;">13:38:22</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 2024-06-15 <span style="color: #949494;">13:38:18</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 2024-06-15 <span style="color: #949494;">13:38:18</span> 2 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 2024-06-15 <span style="color: #949494;">13:38:18</span> 3 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 2024-06-15 <span style="color: #949494;">13:38:18</span> 4 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 2024-06-15 <span style="color: #949494;">13:38:18</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 2024-06-15 <span style="color: #949494;">13:38:17</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">11</span> 2024-06-15 <span style="color: #949494;">13:38:17</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">12</span> 2024-06-15 <span style="color: #949494;">13:38:17</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">13</span> 2024-06-15 <span style="color: #949494;">13:38:17</span> 1 ampicillin Strep pneu AMP B_STRPT_PNMN DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 2024-06-16 <span style="color: #949494;">09:32:52</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 2024-06-16 <span style="color: #949494;">09:32:52</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 2024-06-16 <span style="color: #949494;">09:32:52</span> 1 CIP Escherich… CIP B_[ORD]_ENTRBCTR MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 2024-06-16 <span style="color: #949494;">09:32:52</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 2024-06-16 <span style="color: #949494;">09:32:48</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 2024-06-16 <span style="color: #949494;">09:32:48</span> 2 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 2024-06-16 <span style="color: #949494;">09:32:48</span> 3 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 2024-06-16 <span style="color: #949494;">09:32:48</span> 4 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 2024-06-16 <span style="color: #949494;">09:32:47</span> 1 AMX B_STRPT_P… AMX B_STRPT_PNMN MIC </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 2024-06-16 <span style="color: #949494;">09:32:47</span> 1 TOB Escherich… TOB B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">11</span> 2024-06-16 <span style="color: #949494;">09:32:47</span> 1 GEN Escherich… GEN B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">12</span> 2024-06-16 <span style="color: #949494;">09:32:47</span> 1 AMP Escherich… AMP B_[ORD]_ENTRBCTR DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">13</span> 2024-06-16 <span style="color: #949494;">09:32:47</span> 1 ampicillin Strep pneu AMP B_STRPT_PNMN DISK </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 8 more variables: input <dbl>, outcome <sir>, host <chr>, notes <chr>,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># guideline <chr>, ref_table <chr>, uti <lgl>, breakpoint_S_R <chr></span></span>
|
||||
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||||
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||||
<code><a href="microorganisms.codes.html">microorganisms.codes</a></code>
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||||
</dt>
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||||
<dd>Data Set with 4 972 Common Microorganism Codes</dd>
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||||
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<main id="main" class="col-md-9"><div class="page-header">
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<img src="../logo.svg" class="logo" alt=""><h1>Data Set with 4 972 Common Microorganism Codes</h1>
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||||
<img src="../logo.svg" class="logo" alt=""><h1>Data Set with 4 971 Common Microorganism Codes</h1>
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<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
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<div class="d-none name"><code>microorganisms.codes.Rd</code></div>
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<div class="section level2">
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<h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a></h2>
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<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 4 972 observations and 2 variables:</p><ul><li><p><code>code</code><br> Commonly used code of a microorganism. <em>This is a unique identifier.</em></p></li>
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<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 4 971 observations and 2 variables:</p><ul><li><p><code>code</code><br> Commonly used code of a microorganism. <em>This is a unique identifier.</em></p></li>
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<li><p><code>mo</code><br> ID of the microorganism in the <a href="microorganisms.html">microorganisms</a> data set</p></li>
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</ul></div>
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<div class="section level2">
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<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">microorganisms.codes</span></span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 4,972 × 2</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 4,971 × 2</span></span>
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<span class="r-out co"><span class="r-pr">#></span> code mo </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><mo></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 1011 B_GRAMP </span>
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@@ -198,7 +198,7 @@
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 1100 B_STRPT </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 1101 B_STRPT_VIRI </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 1102 B_STRPT_HAEM </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 4,962 more rows</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 4,961 more rows</span></span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="co"># 'ECO' or 'eco' is the WHONET code for E. coli:</span></span></span>
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<span class="r-in"><span><span class="va">microorganisms.codes</span><span class="op">[</span><span class="va">microorganisms.codes</span><span class="op">$</span><span class="va">code</span> <span class="op">==</span> <span class="st">"ECO"</span>, <span class="op">]</span></span></span>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9050</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</small>
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@@ -12,7 +12,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
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@@ -12,7 +12,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
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[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #> patient_id hospital date bacteria AMX AMC CIP GEN #> <chr> <chr> <date> <chr> <chr> <chr> <chr> <chr> #> 1 J3 A 2012-11-21 E. coli R I S S #> 2 R7 A 2018-04-03 K. pneumoniae R I S S #> 3 P3 A 2014-09-19 E. coli R S S S #> 4 P10 A 2015-12-10 E. coli S I S S #> 5 B7 A 2015-03-02 E. coli S S S S #> 6 W3 A 2018-03-31 S. aureus R S R S #> 7 J8 A 2016-06-14 E. coli R S S S #> 8 M3 A 2015-10-25 E. coli R S S S #> 9 J3 A 2019-06-19 E. coli S S S S #> 10 G6 A 2015-04-27 S. aureus S S S S #> # ℹ 2,990 more rows # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 11 Dec 2022. codes AMR packages come .mo() short, still human readable. importantly, .mo() supports kinds input: first character codes denote taxonomic kingdom, Bacteria (B), Fungi (F), Protozoa (P). AMR package also contain functions directly retrieve taxonomic properties, name, genus, species, family, order, even Gram-stain. start mo_ use .mo() internally, still arbitrary user input can used: Now can thus clean data: Apparently, uncertainty translation taxonomic codes. Let’s check : ’s good.","code":"as.mo(\"Klebsiella pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"K. pneumoniae\") #> ClaLine truncated
|
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[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #> patient_id hospital date bacteria AMX AMC CIP GEN #> <chr> <chr> <date> <chr> <chr> <chr> <chr> <chr> #> 1 J3 A 2012-11-21 E. coli R I S S #> 2 R7 A 2018-04-03 K. pneumoniae R I S S #> 3 P3 A 2014-09-19 E. coli R S S S #> 4 P10 A 2015-12-10 E. coli S I S S #> 5 B7 A 2015-03-02 E. coli S S S S #> 6 W3 A 2018-03-31 S. aureus R S R S #> 7 J8 A 2016-06-14 E. coli R S S S #> 8 M3 A 2015-10-25 E. coli R S S S #> 9 J3 A 2019-06-19 E. coli S S S S #> 10 G6 A 2015-04-27 S. aureus S S S S #> # ℹ 2,990 more rows # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 11 Dec 2022. codes AMR packages come .mo() short, still human readable. importantly, .mo() supports kinds input: first character codes denote taxonomic kingdom, Bacteria (B), Fungi (F), Protozoa (P). AMR package also contain functions directly retrieve taxonomic properties, name, genus, species, family, order, even Gram-stain. start mo_ use .mo() internally, still arbitrary user input can used: Now can thus clean data: Apparently, uncertainty translation taxonomic codes. Let’s check : ’s good.","code":"as.mo(\"Klebsiella pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"K. pneumoniae\") #> ClaLine truncated
|
||||
Reference in new issue
Block a user