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2
reference/AMR-deprecated.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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reference/AMR-options.html
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@@ -9,7 +9,7 @@ options(AMR_guideline = "CLSI")'><meta property="og:image" content="https://amr-
<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="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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8
reference/AMR.html
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@@ -5,14 +5,14 @@ This work was published in the Journal of Statistical Software (Volume 104(3); d
) and formed the basis of two PhD theses (doi:10.33612/diss.177417131
and doi:10.33612/diss.192486375
).
After installing this package, R knows ~97 000 distinct microbial species (updated mei 2026) and all ~620 antimicrobial and antiviral drugs 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 2011-2026 and EUCAST 2011-2026 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). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
After installing this package, R knows ~97 000 distinct microbial species (updated May 2026) and all ~620 antimicrobial and antiviral drugs 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 2011-2026 and EUCAST 2011-2026 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). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:description" content="Welcome to the AMR package.
The AMR package is a peer-reviewed, free and open-source R package with zero dependencies 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. Our aim is to provide a standard for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. We are a team of many different researchers from around the globe to make this a successful and durable project!
This work was published in the Journal of Statistical Software (Volume 104(3); doi:10.18637/jss.v104.i03
) and formed the basis of two PhD theses (doi:10.33612/diss.177417131
and doi:10.33612/diss.192486375
).
After installing this package, R knows ~97 000 distinct microbial species (updated mei 2026) and all ~620 antimicrobial and antiviral drugs 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 2011-2026 and EUCAST 2011-2026 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). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
After installing this package, R knows ~97 000 distinct microbial species (updated May 2026) and all ~620 antimicrobial and antiviral drugs 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 2011-2026 and EUCAST 2011-2026 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). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages."><meta property="og:image" content="https://amr-for-r.org/logo.svg"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.css" integrity="sha384-nB0miv6/jRmo5UMMR1wu3Gz6NLsoTkbqJghGIsx//Rlm+ZU03BU6SQNC66uf4l5+" crossorigin="anonymous"><script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/katex.min.js" integrity="sha384-7zkQWkzuo3B5mTepMUcHkMB5jZaolc2xDwL6VFqjFALcbeS9Ggm/Yr2r3Dy4lfFg" crossorigin="anonymous"></script><script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.11/dist/contrib/auto-render.min.js" integrity="sha384-43gviWU0YVjaDtb/GhzOouOXtZMP/7XUzwPTstBeZFe/+rCMvRwr4yROQP43s0Xk" crossorigin="anonymous" onload="renderMathInElement(document.body);"></script></head><body>
<a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -21,7 +21,7 @@ The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish
<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="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</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">
@@ -70,7 +70,7 @@ The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish
) 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>
<p>After installing this package, R knows <a href="https://amr-for-r.org/reference/microorganisms.html"><strong>~97 000 distinct microbial species</strong></a> (updated mei 2026) and all <a href="https://amr-for-r.org/reference/antimicrobials.html"><strong>~620 antimicrobial 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 2011-2026 and EUCAST 2011-2026 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> and the <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<p>After installing this package, R knows <a href="https://amr-for-r.org/reference/microorganisms.html"><strong>~97 000 distinct microbial species</strong></a> (updated May 2026) and all <a href="https://amr-for-r.org/reference/antimicrobials.html"><strong>~620 antimicrobial 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 2011-2026 and EUCAST 2011-2026 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> and the <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<p>The <code>AMR</code> package is available in English, Arabic, Bengali, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian, Urdu, and Vietnamese. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages.</p>
</div>

2
reference/AMR.md
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@@ -25,7 +25,7 @@ and
After installing this package, R knows [**~97 000 distinct microbial
species**](https://amr-for-r.org/reference/microorganisms.html) (updated
mei 2026) and all [**~620 antimicrobial and antiviral
May 2026) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.html) 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

2
reference/WHOCC.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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2
reference/WHONET.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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2
reference/ab_from_text.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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2
reference/ab_property.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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2
reference/add_custom_antimicrobials.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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2
reference/add_custom_microorganisms.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</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">

22
reference/age.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</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">
@@ -112,16 +112,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1999-06-30 27 27.00822 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1968-01-29 58 58.42466 31</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1965-12-05 60 60.57534 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1980-03-01 46 46.33973 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1949-11-01 76 76.66849 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1947-02-14 79 79.38082 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1940-02-19 86 86.36712 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1988-01-10 38 38.47671 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1997-08-27 28 28.84932 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1978-01-26 48 48.43288 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1999-06-30 27 27.02466 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1968-01-29 58 58.44110 31</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1965-12-05 60 60.59178 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1980-03-01 46 46.35616 19</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1949-11-01 76 76.68493 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1947-02-14 79 79.39726 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1940-02-19 86 86.38356 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1988-01-10 38 38.49315 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1997-08-27 28 28.86575 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1978-01-26 48 48.44932 21</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>

20
reference/age.md
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@@ -81,14 +81,14 @@ df$age_at_y2k <- age(df$birth_date, "2000-01-01")
df
#> birth_date age age_exact age_at_y2k
#> 1 1999-06-30 27 27.00822 0
#> 2 1968-01-29 58 58.42466 31
#> 3 1965-12-05 60 60.57534 34
#> 4 1980-03-01 46 46.33973 19
#> 5 1949-11-01 76 76.66849 50
#> 6 1947-02-14 79 79.38082 52
#> 7 1940-02-19 86 86.36712 59
#> 8 1988-01-10 38 38.47671 11
#> 9 1997-08-27 28 28.84932 2
#> 10 1978-01-26 48 48.43288 21
#> 1 1999-06-30 27 27.02466 0
#> 2 1968-01-29 58 58.44110 31
#> 3 1965-12-05 60 60.59178 34
#> 4 1980-03-01 46 46.35616 19
#> 5 1949-11-01 76 76.68493 50
#> 6 1947-02-14 79 79.39726 52
#> 7 1940-02-19 86 86.38356 59
#> 8 1988-01-10 38 38.49315 11
#> 9 1997-08-27 28 28.86575 2
#> 10 1978-01-26 48 48.44932 21
```

2
reference/age_groups.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/amr-tidymodels.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/amr_course.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/antibiogram.html
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@@ -13,7 +13,7 @@ All antibiogram types adhere to previously described approaches (see Source), an
<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="">3.0.1.9083</small>
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2
reference/antimicrobial_selectors.html
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@@ -17,7 +17,7 @@ my_data_with_all_these_columns %&amp;gt;%
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/antimicrobials.html
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@@ -9,7 +9,7 @@ The antibiotics data set has been renamed to antimicrobials. The old name will b
<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="">3.0.1.9083</small>
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reference/as.ab.html
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@@ -7,7 +7,7 @@
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2
reference/as.av.html
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@@ -7,7 +7,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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reference/as.disk.html
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@@ -7,7 +7,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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reference/as.mic.html
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@@ -7,7 +7,7 @@
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2
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -9,7 +9,7 @@ Breakpoints are currently implemented from EUCAST 2011-2026 and CLSI 2011-2026,
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -462,10 +462,10 @@ Breakpoints are currently implemented from EUCAST 2011-2026 and CLSI 2011-2026,
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 4 × 18</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index method ab_given mo_given host_given input_given</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2026-07-03 <span style="color: #949494;">17:49:48</span> 1 MIC amoxicillin Escherich… human 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2026-07-03 <span style="color: #949494;">17:49:49</span> 1 MIC cipro Escherich… human 0.256 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2026-07-03 <span style="color: #949494;">17:49:49</span> 1 DISK tobra Escherich… human 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2026-07-03 <span style="color: #949494;">17:49:49</span> 1 DISK genta Escherich… human 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2026-07-09 <span style="color: #949494;">15:26:20</span> 1 MIC amoxicillin Escherich… human 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2026-07-09 <span style="color: #949494;">15:26:21</span> 1 MIC cipro Escherich… human 0.256 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2026-07-09 <span style="color: #949494;">15:26:21</span> 1 DISK tobra Escherich… human 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2026-07-09 <span style="color: #949494;">15:26:21</span> 1 DISK genta Escherich… human 18 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 11 more variables: ab &lt;ab&gt;, mo &lt;mo&gt;, host &lt;chr&gt;, input &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># outcome &lt;sir&gt;, notes &lt;chr&gt;, guideline &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># breakpoint_S_R &lt;chr&gt;, site &lt;chr&gt;</span></span>

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@@ -712,10 +712,10 @@ sir_interpretation_history()
#> # A tibble: 4 × 18
#> datetime index method ab_given mo_given host_given input_given
#> <dttm> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 2026-07-03 17:49:48 1 MIC amoxicillin Escherich… human 8
#> 2 2026-07-03 17:49:49 1 MIC cipro Escherich… human 0.256
#> 3 2026-07-03 17:49:49 1 DISK tobra Escherich… human 16
#> 4 2026-07-03 17:49:49 1 DISK genta Escherich… human 18
#> 1 2026-07-09 15:26:20 1 MIC amoxicillin Escherich… human 8
#> 2 2026-07-09 15:26:21 1 MIC cipro Escherich… human 0.256
#> 3 2026-07-09 15:26:21 1 DISK tobra Escherich… human 16
#> 4 2026-07-09 15:26:21 1 DISK genta Escherich… human 18
#> # ℹ 11 more variables: ab <ab>, mo <mo>, host <chr>, input <chr>,
#> # outcome <sir>, notes <chr>, guideline <chr>, ref_table <chr>, uti <lgl>,
#> # breakpoint_S_R <chr>, site <chr>

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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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8
reference/clinical_breakpoints.html
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@@ -21,7 +21,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
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@@ -78,7 +78,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<div class="section level2">
<h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a></h2>
<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 45 555 observations and 14 variables:</p><ul><li><p><code>guideline</code><br> Name of the guideline</p></li>
<p>A <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> with 45 735 observations and 14 variables:</p><ul><li><p><code>guideline</code><br> Name of the guideline</p></li>
<li><p><code>type</code><br> Breakpoint type, either <code>"ECOFF"</code>, <code>"animal"</code>, or <code>"human"</code></p></li>
<li><p><code>host</code><br> Host of infectious agent. This is mostly useful for veterinary breakpoints and is either <code>"ECOFF"</code>, <code>"aquatic"</code>, <code>"cats"</code>, <code>"cattle"</code>, <code>"dogs"</code>, <code>"horse"</code>, <code>"human"</code>, <code>"poultry"</code>, or <code>"swine"</code></p></li>
<li><p><code>method</code><br> Testing method, either <code>"DISK"</code> or <code>"MIC"</code></p></li>
@@ -143,7 +143,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">clinical_breakpoints</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 45,555 × 14</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 45,735 × 14</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> guideline type host method site mo rank_index ab ref_tbl </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> EUCAST 2026 human human DISK <span style="color: #BB0000;">NA</span> <span style="color: #949494;">B_</span>ACHRMB<span style="color: #949494;">_</span>XYLS 2 MEM A. xylo…</span>
@@ -156,7 +156,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> EUCAST 2026 human human DISK Uncomp… <span style="color: #949494;">B_</span>ACNTB 3 AMK Acineto…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> EUCAST 2026 human human MIC <span style="color: #BB0000;">NA</span> <span style="color: #949494;">B_</span>ACNTB 3 AMK Acineto…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> EUCAST 2026 human human MIC Uncomp… <span style="color: #949494;">B_</span>ACNTB 3 AMK Acineto…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 45,545 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 45,725 more rows</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 5 more variables: disk_dose &lt;chr&gt;, breakpoint_S &lt;dbl&gt;, breakpoint_R &lt;dbl&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># uti &lt;lgl&gt;, is_SDD &lt;lgl&gt;</span></span>
</code></pre></div>

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reference/clinical_breakpoints.md
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@@ -26,7 +26,7 @@ clinical_breakpoints
## Format
A [tibble](https://tibble.tidyverse.org/reference/tibble.html) with 45
555 observations and 14 variables:
735 observations and 14 variables:
- `guideline`
Name of the guideline
@@ -154,7 +154,7 @@ repository](https://github.com/msberends/AMR/tree/main/data-raw/datasets).
``` r
clinical_breakpoints
#> # A tibble: 45,555 × 14
#> # A tibble: 45,735 × 14
#> guideline type host method site mo rank_index ab ref_tbl
#> <chr> <chr> <chr> <chr> <chr> <mo> <dbl> <ab> <chr>
#> 1 EUCAST 2026 human human DISK NA B_ACHRMB_XYLS 2 MEM A. xylo…
@@ -167,7 +167,7 @@ clinical_breakpoints
#> 8 EUCAST 2026 human human DISK Uncomp… B_ACNTB 3 AMK Acineto…
#> 9 EUCAST 2026 human human MIC NA B_ACNTB 3 AMK Acineto…
#> 10 EUCAST 2026 human human MIC Uncomp… B_ACNTB 3 AMK Acineto…
#> # ℹ 45,545 more rows
#> # ℹ 45,725 more rows
#> # ℹ 5 more variables: disk_dose <chr>, breakpoint_S <dbl>, breakpoint_R <dbl>,
#> # uti <lgl>, is_SDD <lgl>
```

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@@ -9,7 +9,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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reference/esbl_isolates.html
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@@ -7,7 +7,7 @@
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reference/example_isolates.html
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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reference/export_ncbi_biosample.html
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@@ -7,7 +7,7 @@
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reference/first_isolate.html
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@@ -9,7 +9,7 @@
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4
reference/g.test.html
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@@ -7,7 +7,7 @@
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@@ -125,7 +125,7 @@
<dt>stdres</dt>
<dd><p>standardized residuals,
<code>(observed - expected) / sqrt(V)</code>, where <code>V</code> is the
residual cell variance (<a href="#reference+chisq.test.Rd+R+3AAgresti+3A2007" class="citation">Agresti 2007</a>, section 2.4.5)
residual cell variance (Agresti, 2007, section 2.4.5
for the case where <code>x</code> is a matrix, <code>n * p * (1 - p)</code> otherwise).</p></dd>
</dl></div>

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reference/g.test.md
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@@ -93,9 +93,8 @@ A list with class `"htest"` containing the following components:
- stdres:
standardized residuals, `(observed - expected) / sqrt(V)`, where `V`
is the residual cell variance ([Agresti
2007](#reference+chisq.test.Rd+R+3AAgresti+3A2007), section 2.4.5) for
the case where `x` is a matrix, `n * p * (1 - p)` otherwise).
is the residual cell variance (Agresti, 2007, section 2.4.5 for the
case where `x` is a matrix, `n * p * (1 - p)` otherwise).
## Details

2
reference/get_episode.html
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@@ -7,7 +7,7 @@
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reference/ggplot_pca.html
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@@ -7,7 +7,7 @@
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@@ -113,9 +113,8 @@
<dt id="arg-pc-biplot">pc.biplot<a class="anchor" aria-label="anchor" href="#arg-pc-biplot"></a></dt>
<dd><p>If true, use what <cite></cite><a href="#reference+biplot.princomp.Rd+R+3AGabriel+3A1971" class="citation">Gabriel (1971)</a> refers to as a
“principal component biplot”,
with <code>lambda = 1</code> and observations scaled up by sqrt(n) and
<dd><p>If true, use what Gabriel (1971) refers to as a "principal component
biplot", with <code>lambda = 1</code> and observations scaled up by sqrt(n) and
variables scaled down by sqrt(n). Then inner products between
variables approximate covariances and distances between observations
approximate Mahalanobis distance.</p></dd>

11
reference/ggplot_pca.md
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@@ -85,12 +85,11 @@ the changes made based on the source code were:
- pc.biplot:
If true, use what [Gabriel
(1971)](#reference+biplot.princomp.Rd+R+3AGabriel+3A1971) refers to as
a “principal component biplot”, with `lambda = 1` and observations
scaled up by sqrt(n) and variables scaled down by sqrt(n). Then inner
products between variables approximate covariances and distances
between observations approximate Mahalanobis distance.
If true, use what Gabriel (1971) refers to as a "principal component
biplot", with `lambda = 1` and observations scaled up by sqrt(n) and
variables scaled down by sqrt(n). Then inner products between
variables approximate covariances and distances between observations
approximate Mahalanobis distance.
- labels:

2
reference/ggplot_sir.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/guess_ab_col.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/index.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9084</small>
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11
reference/interpretive_rules.html
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@@ -9,7 +9,7 @@ To improve the interpretation of the antibiogram before CLSI/EUCAST interpretive
<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="">3.0.1.9083</small>
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@@ -212,13 +212,8 @@ To improve the interpretation of the antibiogram before CLSI/EUCAST interpretive
<ul><li><p>EUCAST Expert Rules. Version 2.0, 2012.<br>
Leclercq et al. <strong>EUCAST expert rules in antimicrobial susceptibility testing.</strong> <em>Clin Microbiol Infect.</em> 2013;19(2):141-60; <a href="https://doi.org/10.1111/j.1469-0691.2011.03703.x" class="external-link">doi:10.1111/j.1469-0691.2011.03703.x</a></p></li>
<li><p>EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes Tables. Version 3.1, 2016. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf" class="external-link">(link)</a></p></li>
<li><p>EUCAST Intrinsic Resistance and Unusual Phenotypes. Version 3.2, 2020. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/2020/Intrinsic_Resistance_and_Unusual_Phenotypes_Tables_v3.2_20200225.pdf" class="external-link">(link)</a></p></li>
<li><p>EUCAST Intrinsic Resistance and Unusual Phenotypes. Version 3.3, 2021. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/2021/Intrinsic_Resistance_and_Unusual_Phenotypes_Tables_v3.3_20211018.pdf" class="external-link">(link)</a></p></li>
<li><p>EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 9.0, 2019. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_9.0_Breakpoint_Tables.xlsx" class="external-link">(link)</a></p></li>
<li><p>EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 10.0, 2020. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_10.0_Breakpoint_Tables.xlsx" class="external-link">(link)</a></p></li>
<li><p>EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 11.0, 2021. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_11.0_Breakpoint_Tables.xlsx" class="external-link">(link)</a></p></li>
<li><p>EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 12.0, 2022. <a href="https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_12.0_Breakpoint_Tables.xlsx" class="external-link">(link)</a></p></li>
<li><p>EUCAST Expected Phenotypes. <a href="https://www.eucast.org/bacteria/important-additional-information/expected-phenotypes/" class="external-link">(link)</a></p></li>
<li><p>EUCAST Breakpoint tables for interpretation of MICs and zone diameters. <a href="https://www.eucast.org/bacteria/clinical-breakpoints-and-interpretation/clinical-breakpoint-tables/" class="external-link">(link)</a></p></li>
</ul></div>
<div class="section level2">

27
reference/interpretive_rules.md
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@@ -280,31 +280,12 @@ repository](https://github.com/msberends/AMR/tree/main/data-raw/datasets).
testing.** *Clin Microbiol Infect.* 2013;19(2):141-60;
[doi:10.1111/j.1469-0691.2011.03703.x](https://doi.org/10.1111/j.1469-0691.2011.03703.x)
- EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes
Tables. Version 3.1, 2016.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf)
- EUCAST Intrinsic Resistance and Unusual Phenotypes. Version 3.2, 2020.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/2020/Intrinsic_Resistance_and_Unusual_Phenotypes_Tables_v3.2_20200225.pdf)
- EUCAST Intrinsic Resistance and Unusual Phenotypes. Version 3.3, 2021.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/2021/Intrinsic_Resistance_and_Unusual_Phenotypes_Tables_v3.3_20211018.pdf)
- EUCAST Expected Phenotypes.
[(link)](https://www.eucast.org/bacteria/important-additional-information/expected-phenotypes/)
- EUCAST Breakpoint tables for interpretation of MICs and zone
diameters. Version 9.0, 2019.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_9.0_Breakpoint_Tables.xlsx)
- EUCAST Breakpoint tables for interpretation of MICs and zone
diameters. Version 10.0, 2020.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_10.0_Breakpoint_Tables.xlsx)
- EUCAST Breakpoint tables for interpretation of MICs and zone
diameters. Version 11.0, 2021.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_11.0_Breakpoint_Tables.xlsx)
- EUCAST Breakpoint tables for interpretation of MICs and zone
diameters. Version 12.0, 2022.
[(link)](https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_12.0_Breakpoint_Tables.xlsx)
diameters.
[(link)](https://www.eucast.org/bacteria/clinical-breakpoints-and-interpretation/clinical-breakpoint-tables/)
## Examples

2
reference/intrinsic_resistant.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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reference/key_antimicrobials.html
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@@ -7,7 +7,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/kurtosis.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

2
reference/like.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/mdro.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/mean_amr_distance.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/microorganisms.codes.html
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@@ -7,7 +7,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/microorganisms.groups.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/microorganisms.html
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@@ -9,7 +9,7 @@ This data set is carefully crafted, yet made 100% reproducible from public and a
<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="">3.0.1.9083</small>
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2
reference/mo_matching_score.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/mo_property.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/mo_source.html
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@@ -9,7 +9,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/pca.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/plot.html
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@@ -9,7 +9,7 @@ Especially the scale_*_mic() functions are relevant wrappers to plot MIC values
<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="">3.0.1.9083</small>
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2
reference/proportion.html
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@@ -9,7 +9,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
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2
reference/random.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/resistance_predict.html
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@@ -9,7 +9,7 @@ NOTE: These functions are deprecated and will be removed in a future version. Us
<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="">3.0.1.9083</small>
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2
reference/skewness.html
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@@ -9,7 +9,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<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="">3.0.1.9083</small>
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2
reference/top_n_microorganisms.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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2
reference/translate.html
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@@ -7,7 +7,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9083</small>
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