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@@ -31,7 +31,7 @@
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<a class="navbar-brand me-2" href="https://amr-for-r.org/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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
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|
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|
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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">
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+1
-1
@@ -7,7 +7,7 @@
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<a class="navbar-brand me-2" href="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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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+5
-5
@@ -30,7 +30,7 @@
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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@@ -91,7 +91,7 @@
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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 22 December 2025.</p>
|
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generated on 23 December 2025.</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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@@ -147,21 +147,21 @@ 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">2025-12-22</td>
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<td align="center">2025-12-23</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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</tr>
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<tr class="even">
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<td align="center">2025-12-22</td>
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<td align="center">2025-12-23</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">2025-12-22</td>
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<td align="center">2025-12-23</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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+4
-4
@@ -3,7 +3,7 @@
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**Note:** values on this page will change with every website update
|
||||
since they are based on randomly created values and the page was written
|
||||
in [R Markdown](https://rmarkdown.rstudio.com/). However, the
|
||||
methodology remains unchanged. This page was generated on 22 December
|
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methodology remains unchanged. This page was generated on 23 December
|
||||
2025.
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|
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## Introduction
|
||||
@@ -52,9 +52,9 @@ structure of your data generally look like this:
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| date | patient_id | mo | AMX | CIP |
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|:----------:|:----------:|:----------------:|:---:|:---:|
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| 2025-12-22 | abcd | Escherichia coli | S | S |
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| 2025-12-22 | abcd | Escherichia coli | S | R |
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||||
| 2025-12-22 | efgh | Escherichia coli | R | S |
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||||
| 2025-12-23 | abcd | Escherichia coli | S | S |
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||||
| 2025-12-23 | abcd | Escherichia coli | S | R |
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| 2025-12-23 | efgh | Escherichia coli | R | S |
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|
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### Needed R packages
|
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|
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|
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@@ -30,7 +30,7 @@
|
||||
|
||||
<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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -30,7 +30,7 @@
|
||||
|
||||
<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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
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@@ -419,7 +419,7 @@ ROC curve looks like this:</p>
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<h3 id="conclusion">
|
||||
<strong>Conclusion</strong><a class="anchor" aria-label="anchor" href="#conclusion"></a>
|
||||
</h3>
|
||||
<p>In this post, we demonstrated how to build a machine learning
|
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<p>In this example, we demonstrated how to build a machine learning
|
||||
pipeline with the <code>tidymodels</code> framework and the
|
||||
<code>AMR</code> package. By combining selector functions like
|
||||
<code><a href="../reference/antimicrobial_selectors.html">aminoglycosides()</a></code> and <code><a href="../reference/antimicrobial_selectors.html">betalactams()</a></code> with
|
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@@ -521,10 +521,9 @@ predictors can easily and agnostically selected using the new
|
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<span><span class="co"># Define the recipe</span></span>
|
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<span><span class="va">mic_recipe</span> <span class="op"><-</span> <span class="fu">recipe</span><span class="op">(</span><span class="va">esbl</span> <span class="op">~</span> <span class="va">.</span>, data <span class="op">=</span> <span class="va">training_data</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span>
|
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<span> <span class="fu">remove_role</span><span class="op">(</span><span class="va">genus</span>, old_role <span class="op">=</span> <span class="st">"predictor"</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span> <span class="co"># Remove non-informative variable</span></span>
|
||||
<span> <span class="fu"><a href="../reference/amr-tidymodels.html">step_mic_log2</a></span><span class="op">(</span><span class="fu"><a href="../reference/amr-tidymodels.html">all_mic_predictors</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="co">#%>% # Log2 transform all MIC predictors</span></span>
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||||
<span> <span class="co"># prep()</span></span>
|
||||
<span> <span class="fu"><a href="../reference/amr-tidymodels.html">step_mic_log2</a></span><span class="op">(</span><span class="fu"><a href="../reference/amr-tidymodels.html">all_mic_predictors</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="co"># Log2 transform all MIC predictors</span></span>
|
||||
<span></span>
|
||||
<span><span class="va">mic_recipe</span></span>
|
||||
<span><span class="fu">prep</span><span class="op">(</span><span class="va">mic_recipe</span><span class="op">)</span></span>
|
||||
<span><span class="co">#> </span></span>
|
||||
<span><span class="co">#> <span style="color: #00BBBB;">──</span> <span style="font-weight: bold;">Recipe</span> <span style="color: #00BBBB;">──────────────────────────────────────────────────────────────────────</span></span></span>
|
||||
<span><span class="co">#> </span></span>
|
||||
@@ -534,8 +533,11 @@ predictors can easily and agnostically selected using the new
|
||||
<span><span class="co">#> predictor: 17</span></span>
|
||||
<span><span class="co">#> undeclared role: 1</span></span>
|
||||
<span><span class="co">#> </span></span>
|
||||
<span><span class="co">#> ── Training information</span></span>
|
||||
<span><span class="co">#> Training data contained 375 data points and no incomplete rows.</span></span>
|
||||
<span><span class="co">#> </span></span>
|
||||
<span><span class="co">#> ── Operations</span></span>
|
||||
<span><span class="co">#> <span style="color: #00BBBB;">•</span> Log2 transformation of MIC columns: <span style="color: #0000BB;">all_mic_predictors()</span></span></span></code></pre></div>
|
||||
<span><span class="co">#> <span style="color: #00BBBB;">•</span> Log2 transformation of MIC columns: <span style="color: #0000BB;">AMC</span>, <span style="color: #0000BB;">AMP</span>, <span style="color: #0000BB;">TZP</span>, <span style="color: #0000BB;">CXM</span>, <span style="color: #0000BB;">FOX</span>, ... | <span style="font-style: italic;">Trained</span></span></span></code></pre></div>
|
||||
<p><strong>Explanation:</strong></p>
|
||||
<ul>
|
||||
<li>
|
||||
@@ -641,7 +643,7 @@ that we can use to check the predictions with.</li>
|
||||
</ul>
|
||||
<p>It appears we can predict ESBL gene presence with a positive
|
||||
predictive value (PPV) of 92.1% and a negative predictive value (NPV) of
|
||||
91.9 using a simplistic logistic regression model.</p>
|
||||
91.9% using a simplistic logistic regression model.</p>
|
||||
</div>
|
||||
<div class="section level3">
|
||||
<h3 id="visualising-predictions">
|
||||
@@ -672,17 +674,21 @@ predictions?</p>
|
||||
<span> colour <span class="op">=</span> <span class="va">correct</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
|
||||
<span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_colour_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>Right <span class="op">=</span> <span class="st">"green3"</span>, Wrong <span class="op">=</span> <span class="st">"red2"</span><span class="op">)</span>,</span>
|
||||
<span> name <span class="op">=</span> <span class="st">"Correct?"</span><span class="op">)</span> <span class="op">+</span></span>
|
||||
<span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_point.html" class="external-link">geom_point</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span> </span>
|
||||
<span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_point.html" class="external-link">geom_point</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
|
||||
<span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_continuous</a></span><span class="op">(</span>labels <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="va">x</span> <span class="op">*</span> <span class="fl">100</span>, <span class="st">"%"</span><span class="op">)</span>,</span>
|
||||
<span> limits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.5</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
|
||||
<span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
|
||||
<p><img src="AMR_with_tidymodels_files/figure-html/unnamed-chunk-15-1.png" class="r-plt" alt="" width="720">
|
||||
### <strong>Conclusion</strong></p>
|
||||
<p><img src="AMR_with_tidymodels_files/figure-html/unnamed-chunk-15-1.png" class="r-plt" alt="" width="720"></p>
|
||||
</div>
|
||||
<div class="section level3">
|
||||
<h3 id="conclusion-1">
|
||||
<strong>Conclusion</strong><a class="anchor" aria-label="anchor" href="#conclusion-1"></a>
|
||||
</h3>
|
||||
<p>In this example, we showcased how the new <code>AMR</code>-specific
|
||||
recipe steps simplify working with <code><mic></code> columns in
|
||||
<code>tidymodels</code>. The <code><a href="../reference/amr-tidymodels.html">step_mic_log2()</a></code> transformation
|
||||
converts ordered MICs to log2-transformed numerics, improving
|
||||
compatibility with classification models.</p>
|
||||
converts MICs (with or without operators) to log2-transformed numerics,
|
||||
improving compatibility with classification models.</p>
|
||||
<p>This pipeline enables realistic, reproducible, and interpretable
|
||||
modelling of antimicrobial resistance data.</p>
|
||||
<hr>
|
||||
@@ -872,7 +878,7 @@ evaluate performance.</p>
|
||||
<span><span class="co"># Make predictions</span></span>
|
||||
<span><span class="va">predictions_time</span> <span class="op"><-</span> <span class="va">fitted_workflow_time</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span>
|
||||
<span> <span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span><span class="va">test_time</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span>
|
||||
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_cols.html" class="external-link">bind_cols</a></span><span class="op">(</span><span class="va">test_time</span><span class="op">)</span> </span>
|
||||
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_cols.html" class="external-link">bind_cols</a></span><span class="op">(</span><span class="va">test_time</span><span class="op">)</span></span>
|
||||
<span></span>
|
||||
<span><span class="co"># Evaluate model</span></span>
|
||||
<span><span class="va">metrics_time</span> <span class="op"><-</span> <span class="va">predictions_time</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span>
|
||||
@@ -931,8 +937,8 @@ sets.</li>
|
||||
<p><img src="AMR_with_tidymodels_files/figure-html/unnamed-chunk-22-1.png" class="r-plt" alt="" width="720"></p>
|
||||
</div>
|
||||
<div class="section level3">
|
||||
<h3 id="conclusion-1">
|
||||
<strong>Conclusion</strong><a class="anchor" aria-label="anchor" href="#conclusion-1"></a>
|
||||
<h3 id="conclusion-2">
|
||||
<strong>Conclusion</strong><a class="anchor" aria-label="anchor" href="#conclusion-2"></a>
|
||||
</h3>
|
||||
<p>In this example, we demonstrated how to analyze AMR trends over time
|
||||
using <code>tidymodels</code>. By aggregating resistance rates by year
|
||||
|
||||
@@ -332,9 +332,9 @@ predictions %>%
|
||||
|
||||
### **Conclusion**
|
||||
|
||||
In this post, we demonstrated how to build a machine learning pipeline
|
||||
with the `tidymodels` framework and the `AMR` package. By combining
|
||||
selector functions like
|
||||
In this example, we demonstrated how to build a machine learning
|
||||
pipeline with the `tidymodels` framework and the `AMR` package. By
|
||||
combining selector functions like
|
||||
[`aminoglycosides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
|
||||
and
|
||||
[`betalactams()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
|
||||
@@ -431,10 +431,9 @@ testing_data <- testing(split)
|
||||
# Define the recipe
|
||||
mic_recipe <- recipe(esbl ~ ., data = training_data) %>%
|
||||
remove_role(genus, old_role = "predictor") %>% # Remove non-informative variable
|
||||
step_mic_log2(all_mic_predictors()) #%>% # Log2 transform all MIC predictors
|
||||
# prep()
|
||||
step_mic_log2(all_mic_predictors()) # Log2 transform all MIC predictors
|
||||
|
||||
mic_recipe
|
||||
prep(mic_recipe)
|
||||
#>
|
||||
#> ── Recipe ──────────────────────────────────────────────────────────────────────
|
||||
#>
|
||||
@@ -444,8 +443,11 @@ mic_recipe
|
||||
#> predictor: 17
|
||||
#> undeclared role: 1
|
||||
#>
|
||||
#> ── Training information
|
||||
#> Training data contained 375 data points and no incomplete rows.
|
||||
#>
|
||||
#> ── Operations
|
||||
#> • Log2 transformation of MIC columns: all_mic_predictors()
|
||||
#> • Log2 transformation of MIC columns: AMC, AMP, TZP, CXM, FOX, ... | Trained
|
||||
```
|
||||
|
||||
**Explanation:**
|
||||
@@ -540,8 +542,8 @@ metrics
|
||||
check the predictions with.
|
||||
|
||||
It appears we can predict ESBL gene presence with a positive predictive
|
||||
value (PPV) of 92.1% and a negative predictive value (NPV) of 91.9 using
|
||||
a simplistic logistic regression model.
|
||||
value (PPV) of 92.1% and a negative predictive value (NPV) of 91.9%
|
||||
using a simplistic logistic regression model.
|
||||
|
||||
### **Visualising Predictions**
|
||||
|
||||
@@ -574,20 +576,22 @@ predictions %>%
|
||||
colour = correct)) +
|
||||
scale_colour_manual(values = c(Right = "green3", Wrong = "red2"),
|
||||
name = "Correct?") +
|
||||
geom_point() +
|
||||
geom_point() +
|
||||
scale_y_continuous(labels = function(x) paste0(x * 100, "%"),
|
||||
limits = c(0.5, 1)) +
|
||||
theme_minimal()
|
||||
```
|
||||
|
||||
 \###
|
||||
**Conclusion**
|
||||

|
||||
|
||||
### **Conclusion**
|
||||
|
||||
In this example, we showcased how the new `AMR`-specific recipe steps
|
||||
simplify working with `<mic>` columns in `tidymodels`. The
|
||||
[`step_mic_log2()`](https://amr-for-r.org/reference/amr-tidymodels.md)
|
||||
transformation converts ordered MICs to log2-transformed numerics,
|
||||
improving compatibility with classification models.
|
||||
transformation converts MICs (with or without operators) to
|
||||
log2-transformed numerics, improving compatibility with classification
|
||||
models.
|
||||
|
||||
This pipeline enables realistic, reproducible, and interpretable
|
||||
modelling of antimicrobial resistance data.
|
||||
@@ -762,7 +766,7 @@ fitted_workflow_time <- resistance_workflow_time %>%
|
||||
# Make predictions
|
||||
predictions_time <- fitted_workflow_time %>%
|
||||
predict(test_time) %>%
|
||||
bind_cols(test_time)
|
||||
bind_cols(test_time)
|
||||
|
||||
# Evaluate model
|
||||
metrics_time <- predictions_time %>%
|
||||
|
||||
@@ -30,7 +30,7 @@
|
||||
|
||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||
|
||||
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||||
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|
||||
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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">
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||||
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||||
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||||
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||||
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|
||||
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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">
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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@@ -30,7 +30,7 @@
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
|
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
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@@ -80,7 +80,7 @@
|
||||
<main id="main" class="col-md-9"><div class="page-header">
|
||||
<img src="../logo.svg" class="logo" alt=""><h1>Download data sets for download / own use</h1>
|
||||
|
||||
<h4 data-toc-skip class="date">22 December 2025</h4>
|
||||
<h4 data-toc-skip class="date">23 December 2025</h4>
|
||||
|
||||
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/main/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
|
||||
<div class="d-none name"><code>datasets.Rmd</code></div>
|
||||
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||||
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
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|
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||||
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|
||||
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||||
<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
|
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
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|
||||
@@ -49,9 +49,9 @@
|
||||
</div>
|
||||
|
||||
<div class="section level2">
|
||||
<h2 class="pkg-version" data-toc-text="3.0.1.9007" id="amr-3019007">AMR 3.0.1.9007<a class="anchor" aria-label="anchor" href="#amr-3019007"></a></h2>
|
||||
<h2 class="pkg-version" data-toc-text="3.0.1.9009" id="amr-3019009">AMR 3.0.1.9009<a class="anchor" aria-label="anchor" href="#amr-3019009"></a></h2>
|
||||
<div class="section level4">
|
||||
<h4 id="new-3-0-1-9007">New<a class="anchor" aria-label="anchor" href="#new-3-0-1-9007"></a></h4>
|
||||
<h4 id="new-3-0-1-9009">New<a class="anchor" aria-label="anchor" href="#new-3-0-1-9009"></a></h4>
|
||||
<ul><li>Integration with the <strong>tidymodels</strong> framework to allow seamless use of SIR, MIC and disk data in modelling pipelines via <code>recipes</code>
|
||||
<ul><li>
|
||||
<code><a href="../reference/amr-tidymodels.html">step_mic_log2()</a></code> to transform <code><mic></code> columns with log2, and <code><a href="../reference/amr-tidymodels.html">step_sir_numeric()</a></code> to convert <code><sir></code> columns to numeric</li>
|
||||
@@ -61,7 +61,7 @@
|
||||
<li>Data set <code>esbl_isolates</code> to practise with AMR modelling</li>
|
||||
</ul></div>
|
||||
<div class="section level4">
|
||||
<h4 id="changed-3-0-1-9007">Changed<a class="anchor" aria-label="anchor" href="#changed-3-0-1-9007"></a></h4>
|
||||
<h4 id="changed-3-0-1-9009">Changed<a class="anchor" aria-label="anchor" href="#changed-3-0-1-9009"></a></h4>
|
||||
<ul><li>Fixed a bug in <code><a href="../reference/antibiogram.html">antibiogram()</a></code> for when no antimicrobials are set</li>
|
||||
<li>Added taniborbactam (<code>TAN</code>) and cefepime/taniborbactam (<code>FTA</code>) to the <code>antimicrobials</code> data set</li>
|
||||
<li>Fixed a bug in <code><a href="../reference/as.sir.html">as.sir()</a></code> where for numeric input the arguments <code>S</code>, <code>i</code>, and <code>R</code> would not be considered (<a href="https://github.com/msberends/AMR/issues/244" class="external-link">#244</a>)</li>
|
||||
|
||||
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@@ -1,6 +1,6 @@
|
||||
# Changelog
|
||||
|
||||
## AMR 3.0.1.9007
|
||||
## AMR 3.0.1.9009
|
||||
|
||||
#### New
|
||||
|
||||
|
||||
+1
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@@ -10,7 +10,7 @@ articles:
|
||||
PCA: PCA.html
|
||||
WHONET: WHONET.html
|
||||
WISCA: WISCA.html
|
||||
last_built: 2025-12-22T08:44Z
|
||||
last_built: 2025-12-23T10:08Z
|
||||
urls:
|
||||
reference: https://amr-for-r.org/reference
|
||||
article: https://amr-for-r.org/articles
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
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|
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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">
|
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|
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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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
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|
||||
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|
||||
|
||||
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@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
||||
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|
||||
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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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
|
||||
+11
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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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">#></span> birth_date age age_exact age_at_y2k</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 1 1980-02-27 45 45.81644 19</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 2 1953-07-26 72 72.40822 46</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 3 1949-09-02 76 76.30411 50</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 4 1986-08-03 39 39.38630 13</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 5 1932-11-19 93 93.09041 67</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 6 1949-03-30 76 76.73151 50</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 7 1996-06-23 29 29.49863 3</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 8 1963-09-16 62 62.26575 36</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 9 1952-05-16 73 73.60274 47</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 10 1952-11-14 73 73.10411 47</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 1 1980-02-27 45 45.81918 19</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 2 1953-07-26 72 72.41096 46</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 3 1949-09-02 76 76.30685 50</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 4 1986-08-03 39 39.38904 13</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 5 1932-11-19 93 93.09315 67</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 6 1949-03-30 76 76.73425 50</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 7 1996-06-23 29 29.50137 3</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 8 1963-09-16 62 62.26849 36</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 9 1952-05-16 73 73.60548 47</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> 10 1952-11-14 73 73.10685 47</span>
|
||||
</code></pre></div>
|
||||
</div>
|
||||
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
|
||||
|
||||
+10
-10
@@ -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 1980-02-27 45 45.81644 19
|
||||
#> 2 1953-07-26 72 72.40822 46
|
||||
#> 3 1949-09-02 76 76.30411 50
|
||||
#> 4 1986-08-03 39 39.38630 13
|
||||
#> 5 1932-11-19 93 93.09041 67
|
||||
#> 6 1949-03-30 76 76.73151 50
|
||||
#> 7 1996-06-23 29 29.49863 3
|
||||
#> 8 1963-09-16 62 62.26575 36
|
||||
#> 9 1952-05-16 73 73.60274 47
|
||||
#> 10 1952-11-14 73 73.10411 47
|
||||
#> 1 1980-02-27 45 45.81918 19
|
||||
#> 2 1953-07-26 72 72.41096 46
|
||||
#> 3 1949-09-02 76 76.30685 50
|
||||
#> 4 1986-08-03 39 39.38904 13
|
||||
#> 5 1932-11-19 93 93.09315 67
|
||||
#> 6 1949-03-30 76 76.73425 50
|
||||
#> 7 1996-06-23 29 29.50137 3
|
||||
#> 8 1963-09-16 62 62.26849 36
|
||||
#> 9 1952-05-16 73 73.60548 47
|
||||
#> 10 1952-11-14 73 73.10685 47
|
||||
```
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
||||
|
||||
|
||||
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
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@@ -9,7 +9,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
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@@ -17,7 +17,7 @@ my_data_with_all_these_columns %&gt;%
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@@ -9,7 +9,7 @@ The antibiotics data set has been renamed to antimicrobials. The old name will b
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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@@ -7,7 +7,7 @@
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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@@ -9,7 +9,7 @@ Breakpoints are currently implemented from EUCAST 2011-2025 and CLSI 2011-2025,
|
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||||
<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
@@ -416,10 +416,10 @@ Breakpoints are currently implemented from EUCAST 2011-2025 and CLSI 2011-2025,
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 4 × 18</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> datetime index method ab_given mo_given host_given input_given</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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></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> 2025-12-22 <span style="color: #949494;">08:45:24</span> 1 MIC amoxicillin Escherich… human 8 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 2025-12-22 <span style="color: #949494;">08:45:24</span> 1 MIC cipro Escherich… human 0.256 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 2025-12-22 <span style="color: #949494;">08:45:24</span> 1 DISK tobra Escherich… human 16 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> 2025-12-22 <span style="color: #949494;">08:45:24</span> 1 DISK genta Escherich… human 18 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 2025-12-23 <span style="color: #949494;">10:09:01</span> 1 MIC amoxicillin Escherich… human 8 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 2025-12-23 <span style="color: #949494;">10:09:02</span> 1 MIC cipro Escherich… human 0.256 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 2025-12-23 <span style="color: #949494;">10:09:02</span> 1 DISK tobra Escherich… human 16 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> 2025-12-23 <span style="color: #949494;">10:09:02</span> 1 DISK genta Escherich… human 18 </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 11 more variables: ab <ab>, mo <mo>, host <chr>, input <chr>,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># outcome <sir>, notes <chr>, guideline <chr>, ref_table <chr>, uti <lgl>,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># breakpoint_S_R <chr>, site <chr></span></span>
|
||||
|
||||
+4
-4
@@ -648,10 +648,10 @@ 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 2025-12-22 08:45:24 1 MIC amoxicillin Escherich… human 8
|
||||
#> 2 2025-12-22 08:45:24 1 MIC cipro Escherich… human 0.256
|
||||
#> 3 2025-12-22 08:45:24 1 DISK tobra Escherich… human 16
|
||||
#> 4 2025-12-22 08:45:24 1 DISK genta Escherich… human 18
|
||||
#> 1 2025-12-23 10:09:01 1 MIC amoxicillin Escherich… human 8
|
||||
#> 2 2025-12-23 10:09:02 1 MIC cipro Escherich… human 0.256
|
||||
#> 3 2025-12-23 10:09:02 1 DISK tobra Escherich… human 16
|
||||
#> 4 2025-12-23 10:09:02 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>
|
||||
|
||||
@@ -7,7 +7,7 @@
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||||
|
||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
@@ -7,7 +7,7 @@
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||||
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||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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||||
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
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||||
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||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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||||
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
@@ -7,7 +7,7 @@
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||||
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||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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||||
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
@@ -7,7 +7,7 @@
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||||
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||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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||||
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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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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||||
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|
||||
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
@@ -9,7 +9,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
|
||||
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||||
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||||
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
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||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
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||||
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||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
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||||
@@ -7,7 +7,7 @@
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||||
|
||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
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||||
@@ -7,7 +7,7 @@
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||||
|
||||
<a class="navbar-brand me-2" href="../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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -9,7 +9,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
|
||||
|
||||
<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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
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||||
|
||||
@@ -7,7 +7,7 @@
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||||
|
||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</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">
|
||||
|
||||
@@ -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="">3.0.1.9007</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9009</small>
|
||||
|
||||
|
||||
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||||
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[{"path":"https://amr-for-r.org/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"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://amr-for-r.org/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"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://amr-for-r.org/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"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://amr-for-r.org/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"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 24 Jun 2024. 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\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"KLEPNE\") #> Class 'mo' #> [1] Line truncated
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[{"path":"https://amr-for-r.org/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"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://amr-for-r.org/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"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://amr-for-r.org/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"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://amr-for-r.org/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"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 24 Jun 2024. 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\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"KLEPNE\") #> Class 'mo' #> [1] Line truncated
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Block a user