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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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website update since they are based on randomly created values and the
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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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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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Markdown</a>. However, the methodology remains unchanged. This page was
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generated on 06 December 2024.</p>
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generated on 07 December 2024.</p>
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<div class="section level2">
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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 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
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</tr></thead>
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<tbody>
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<tbody>
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<tr class="odd">
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<td align="center">2024-12-06</td>
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<td align="center">2024-12-07</td>
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<td align="center">abcd</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">Escherichia coli</td>
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<td align="center">S</td>
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<td align="center">S</td>
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<td align="center">S</td>
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<td align="center">2024-12-06</td>
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<td align="center">abcd</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">Escherichia coli</td>
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<td align="center">S</td>
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<td align="center">S</td>
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<td align="center">R</td>
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<td align="center">2024-12-06</td>
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<td align="center">2024-12-07</td>
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<td align="center">efgh</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">Escherichia coli</td>
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<td align="center">R</td>
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<td align="center">R</td>
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<main id="main" class="col-md-9"><div class="page-header">
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<main id="main" class="col-md-9"><div class="page-header">
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<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
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<img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
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<h4 data-toc-skip class="date">06 December 2024</h4>
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<h4 data-toc-skip class="date">07 December 2024</h4>
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<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>
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<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>
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<h2 class="pkg-version" data-toc-text="2.1.1.9111" id="amr-2119111">AMR 2.1.1.9111<a class="anchor" aria-label="anchor" href="#amr-2119111"></a></h2>
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<h2 class="pkg-version" data-toc-text="2.1.1.9112" id="amr-2119112">AMR 2.1.1.9112<a class="anchor" aria-label="anchor" href="#amr-2119112"></a></h2>
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<p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using <a href="https://msberends.github.io/AMR/#latest-development-version">the instructions here</a>.)</em></p>
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<p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using <a href="https://msberends.github.io/AMR/#latest-development-version">the instructions here</a>.)</em></p>
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<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9111">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9111"></a></h5>
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<h5 id="a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9112">A New Milestone: AMR v3.0 with One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-amr-v30-with-one-health-support--human--veterinary--environmental-2-1-1-9112"></a></h5>
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<p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island’s Atlantic Veterinary College</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
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<p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island’s Atlantic Veterinary College</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
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<div class="section level3">
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<h3 id="breaking-2-1-1-9111">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9111"></a></h3>
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<h3 id="breaking-2-1-1-9112">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9112"></a></h3>
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<ul><li>Removed all functions and references that used the deprecated <code>rsi</code> class, which were all replaced with their <code>sir</code> equivalents over a year ago</li>
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<ul><li>Removed all functions and references that used the deprecated <code>rsi</code> class, which were all replaced with their <code>sir</code> equivalents over a year ago</li>
|
||||||
</ul></div>
|
</ul></div>
|
||||||
<div class="section level3">
|
<div class="section level3">
|
||||||
<h3 id="new-2-1-1-9111">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9111"></a></h3>
|
<h3 id="new-2-1-1-9112">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9112"></a></h3>
|
||||||
<ul><li>
|
<ul><li>
|
||||||
<strong>One Health implementation</strong>
|
<strong>One Health implementation</strong>
|
||||||
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now has extensive support for veterinary breakpoints from CLSI. Use <code>breakpoint_type = "animal"</code> and set the <code>host</code> argument to a variable that contains animal species names.</li>
|
<ul><li>Function <code><a href="../reference/as.sir.html">as.sir()</a></code> now has extensive support for veterinary breakpoints from CLSI. Use <code>breakpoint_type = "animal"</code> and set the <code>host</code> argument to a variable that contains animal species names.</li>
|
||||||
@@ -99,7 +99,7 @@
|
|||||||
</ul></li>
|
</ul></li>
|
||||||
</ul></div>
|
</ul></div>
|
||||||
<div class="section level3">
|
<div class="section level3">
|
||||||
<h3 id="changed-2-1-1-9111">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9111"></a></h3>
|
<h3 id="changed-2-1-1-9112">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9112"></a></h3>
|
||||||
<ul><li>SIR interpretation
|
<ul><li>SIR interpretation
|
||||||
<ul><li>It is now possible to use column names for argument <code>ab</code>, <code>mo</code>, and <code>uti</code>: <code>as.sir(..., ab = "column1", mo = "column2", uti = "column3")</code>. This greatly improves the flexibility for users.</li>
|
<ul><li>It is now possible to use column names for argument <code>ab</code>, <code>mo</code>, and <code>uti</code>: <code>as.sir(..., ab = "column1", mo = "column2", uti = "column3")</code>. This greatly improves the flexibility for users.</li>
|
||||||
<li>Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and NI.</li>
|
<li>Users can now set their own criteria (using regular expressions) as to what should be considered S, I, R, SDD, and NI.</li>
|
||||||
@@ -152,14 +152,14 @@
|
|||||||
<li>Improved algorithm of <code><a href="../reference/first_isolate.html">first_isolate()</a></code> when using the phenotype-based method, to prioritise records with the highest availability of SIR values</li>
|
<li>Improved algorithm of <code><a href="../reference/first_isolate.html">first_isolate()</a></code> when using the phenotype-based method, to prioritise records with the highest availability of SIR values</li>
|
||||||
</ul></div>
|
</ul></div>
|
||||||
<div class="section level3">
|
<div class="section level3">
|
||||||
<h3 id="other-2-1-1-9111">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9111"></a></h3>
|
<h3 id="other-2-1-1-9112">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9112"></a></h3>
|
||||||
<ul><li>Greatly improved <code>vctrs</code> integration, a Tidyverse package working in the background for many Tidyverse functions. For users, this means that functions such as <code>dplyr</code>’s <code><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/rowwise.html" class="external-link">rowwise()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/c_across.html" class="external-link">c_across()</a></code> are now supported for e.g. columns of class <code>mic</code>. Despite this, this <code>AMR</code> package is still zero-dependent on any other package, including <code>dplyr</code> and <code>vctrs</code>.</li>
|
<ul><li>Greatly improved <code>vctrs</code> integration, a Tidyverse package working in the background for many Tidyverse functions. For users, this means that functions such as <code>dplyr</code>’s <code><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/rowwise.html" class="external-link">rowwise()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/c_across.html" class="external-link">c_across()</a></code> are now supported for e.g. columns of class <code>mic</code>. Despite this, this <code>AMR</code> package is still zero-dependent on any other package, including <code>dplyr</code> and <code>vctrs</code>.</li>
|
||||||
<li>Greatly updated and expanded documentation</li>
|
<li>Greatly updated and expanded documentation</li>
|
||||||
<li>Added Larisse Bolton, Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
|
<li>Added Larisse Bolton, Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
|
||||||
<li>Stopped support for SAS (<code>.xpt</code>) files, since their file structure and extremely inefficient and requires more disk space than GitHub allows in a single commit.</li>
|
<li>Stopped support for SAS (<code>.xpt</code>) files, since their file structure and extremely inefficient and requires more disk space than GitHub allows in a single commit.</li>
|
||||||
</ul></div>
|
</ul></div>
|
||||||
<div class="section level3">
|
<div class="section level3">
|
||||||
<h3 id="older-versions-2-1-1-9111">Older Versions<a class="anchor" aria-label="anchor" href="#older-versions-2-1-1-9111"></a></h3>
|
<h3 id="older-versions-2-1-1-9112">Older Versions<a class="anchor" aria-label="anchor" href="#older-versions-2-1-1-9112"></a></h3>
|
||||||
<p>This changelog only contains changes from AMR v3.0 (October 2024) and later.</p>
|
<p>This changelog only contains changes from AMR v3.0 (October 2024) and later.</p>
|
||||||
<ul><li>For prior v2 versions, please see <a href="https://github.com/msberends/AMR/blob/v2.1.1/NEWS.md" class="external-link">our v2 archive</a>.</li>
|
<ul><li>For prior v2 versions, please see <a href="https://github.com/msberends/AMR/blob/v2.1.1/NEWS.md" class="external-link">our v2 archive</a>.</li>
|
||||||
<li>For prior v1 versions, please see <a href="https://github.com/msberends/AMR/blob/v1.8.2/NEWS.md" class="external-link">our v1 archive</a>.</li>
|
<li>For prior v1 versions, please see <a href="https://github.com/msberends/AMR/blob/v1.8.2/NEWS.md" class="external-link">our v1 archive</a>.</li>
|
||||||
|
|||||||
+1
-1
@@ -11,7 +11,7 @@ articles:
|
|||||||
resistance_predict: resistance_predict.html
|
resistance_predict: resistance_predict.html
|
||||||
welcome_to_AMR: welcome_to_AMR.html
|
welcome_to_AMR: welcome_to_AMR.html
|
||||||
WHONET: WHONET.html
|
WHONET: WHONET.html
|
||||||
last_built: 2024-12-06T14:48Z
|
last_built: 2024-12-07T19:08Z
|
||||||
urls:
|
urls:
|
||||||
reference: https://msberends.github.io/AMR/reference
|
reference: https://msberends.github.io/AMR/reference
|
||||||
article: https://msberends.github.io/AMR/articles
|
article: https://msberends.github.io/AMR/articles
|
||||||
@@ -7,7 +7,7 @@
|
|||||||
|
|
||||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">2.1.1.9111</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9112</small>
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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>
|
<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="">2.1.1.9111</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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|
||||||
|
|||||||
@@ -7,7 +7,7 @@
|
|||||||
|
|
||||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">2.1.1.9111</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9112</small>
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||||||
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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>
|
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||||
|
|
||||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9111</small>
|
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9112</small>
|
||||||
|
|
||||||
|
|
||||||
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|
||||||
|
|||||||
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|
|||||||
|
|
||||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</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="">2.1.1.9111</small>
|
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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>
|
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||||
|
|
||||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9111</small>
|
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|
||||||
|
|
||||||
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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>
|
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|
||||||
|
|
||||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9111</small>
|
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9112</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>
|
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|
||||||
|
|
||||||
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|
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|
||||||
|
|
||||||
|
|
||||||
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||||||
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|||||||
+11
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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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|
||||||
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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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|
||||||
@@ -110,16 +110,16 @@
|
|||||||
<span class="r-in"><span></span></span>
|
<span class="r-in"><span></span></span>
|
||||||
<span class="r-in"><span><span class="va">df</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> birth_date age age_exact age_at_y2k</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 1 1965-12-05 59 59.00273 34</span>
|
<span class="r-out co"><span class="r-pr">#></span> 1 1965-12-05 59 59.00546 34</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 2 1980-03-01 44 44.76503 19</span>
|
<span class="r-out co"><span class="r-pr">#></span> 2 1980-03-01 44 44.76776 19</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 3 1949-11-01 75 75.09563 50</span>
|
<span class="r-out co"><span class="r-pr">#></span> 3 1949-11-01 75 75.09836 50</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 4 1947-02-14 77 77.80874 52</span>
|
<span class="r-out co"><span class="r-pr">#></span> 4 1947-02-14 77 77.81148 52</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 5 1940-02-19 84 84.79508 59</span>
|
<span class="r-out co"><span class="r-pr">#></span> 5 1940-02-19 84 84.79781 59</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 6 1988-01-10 36 36.90437 11</span>
|
<span class="r-out co"><span class="r-pr">#></span> 6 1988-01-10 36 36.90710 11</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 7 1997-08-27 27 27.27596 2</span>
|
<span class="r-out co"><span class="r-pr">#></span> 7 1997-08-27 27 27.27869 2</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 8 1978-01-26 46 46.86066 21</span>
|
<span class="r-out co"><span class="r-pr">#></span> 8 1978-01-26 46 46.86339 21</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 9 1972-06-17 52 52.46995 27</span>
|
<span class="r-out co"><span class="r-pr">#></span> 9 1972-06-17 52 52.47268 27</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> 10 1986-08-10 38 38.32240 13</span>
|
<span class="r-out co"><span class="r-pr">#></span> 10 1986-08-10 38 38.32514 13</span>
|
||||||
</code></pre></div>
|
</code></pre></div>
|
||||||
</div>
|
</div>
|
||||||
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
|
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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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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<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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@@ -285,7 +285,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
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|||||||
<span class="r-in"><span></span></span>
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||||||
<span class="r-in"><span><span class="co"># you can combine selectors like you are used with tidyverse</span></span></span>
|
<span class="r-in"><span><span class="co"># you can combine selectors like you are used with tidyverse</span></span></span>
|
||||||
<span class="r-in"><span><span class="co"># e.g., for betalactams, but not the ones with an enzyme inhibitor:</span></span></span>
|
<span class="r-in"><span><span class="co"># e.g., for betalactams, but not the ones with an enzyme inhibitor:</span></span></span>
|
||||||
<span class="r-in"><span><span class="va">example_isolates</span> <span class="op">|></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu">betalactams</span><span class="op">(</span><span class="op">)</span>, <span class="op">-</span><span class="fu">betalactams_with_inhibitor</span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></span>
|
<span class="r-in"><span><span class="va">example_isolates</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu">betalactams</span><span class="op">(</span><span class="op">)</span>, <span class="op">-</span><span class="fu">betalactams_with_inhibitor</span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></span>
|
||||||
<span class="r-msg co"><span class="r-pr">#></span> ℹ For betalactams() using columns 'PEN' (benzylpenicillin), 'OXA'</span>
|
<span class="r-msg co"><span class="r-pr">#></span> ℹ For betalactams() using columns 'PEN' (benzylpenicillin), 'OXA'</span>
|
||||||
<span class="r-msg co"><span class="r-pr">#></span> (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC'</span>
|
<span class="r-msg co"><span class="r-pr">#></span> (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC'</span>
|
||||||
<span class="r-msg co"><span class="r-pr">#></span> (amoxicillin/clavulanic acid), 'AMP' (ampicillin), 'TZP'</span>
|
<span class="r-msg co"><span class="r-pr">#></span> (amoxicillin/clavulanic acid), 'AMP' (ampicillin), 'TZP'</span>
|
||||||
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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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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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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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|
||||||
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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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|
||||||
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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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||||||
|
|||||||
@@ -7,7 +7,7 @@
|
|||||||
|
|
||||||
<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="">2.1.1.9111</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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|
||||||
|
|||||||
+11
-11
@@ -21,7 +21,7 @@ All breakpoints used for interpretation are available in our clinical_breakpoint
|
|||||||
|
|
||||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||||
|
|
||||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9111</small>
|
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9112</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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|
||||||
@@ -785,16 +785,16 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
|
|||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 57 × 16</span></span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 57 × 16</span></span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> datetime index ab_given mo_given host_given ab mo </span>
|
<span class="r-out co"><span class="r-pr">#></span> datetime index ab_given mo_given host_given ab mo </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">*</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;"><ab></span> <span style="color: #949494; font-style: italic;"><mo></span> </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">*</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;"><ab></span> <span style="color: #949494; font-style: italic;"><mo></span> </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 2024-12-06 <span style="color: #949494;">14:49:17</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 2024-12-07 <span style="color: #949494;">19:09:30</span> 4 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 2024-12-06 <span style="color: #949494;">14:49:24</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 2024-12-07 <span style="color: #949494;">19:09:38</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 2024-12-06 <span style="color: #949494;">14:49:24</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 2024-12-07 <span style="color: #949494;">19:09:38</span> 4 genta Escheri… human GEN B_[ORD]_ENTRBCTR</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 2024-12-06 <span style="color: #949494;">14:49:25</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 2024-12-07 <span style="color: #949494;">19:09:39</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 2024-12-06 <span style="color: #949494;">14:49:25</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 2024-12-07 <span style="color: #949494;">19:09:39</span> 4 genta Escheri… cattle GEN B_ESCHR_COLI </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 2024-12-06 <span style="color: #949494;">14:49:17</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 2024-12-07 <span style="color: #949494;">19:09:30</span> 3 AMX B_STRPT… human AMX B_STRPT_PNMN </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 2024-12-06 <span style="color: #949494;">14:49:24</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 2024-12-07 <span style="color: #949494;">19:09:38</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 2024-12-06 <span style="color: #949494;">14:49:24</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 2024-12-07 <span style="color: #949494;">19:09:38</span> 3 tobra Escheri… human TOB B_[ORD]_ENTRBCTR</span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 2024-12-06 <span style="color: #949494;">14:49:25</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 2024-12-07 <span style="color: #949494;">19:09:39</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 2024-12-06 <span style="color: #949494;">14:49:25</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 2024-12-07 <span style="color: #949494;">19:09:39</span> 3 tobra Escheri… horses TOB B_ESCHR_COLI </span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 47 more rows</span></span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 47 more rows</span></span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 9 more variables: host <chr>, method <chr>, input <dbl>, outcome <sir>,</span></span>
|
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 9 more variables: host <chr>, method <chr>, input <dbl>, outcome <sir>,</span></span>
|
||||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># 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;"># notes <chr>, guideline <chr>, ref_table <chr>, uti <lgl>,</span></span>
|
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||||||
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[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #> patient_id hospital date bacteria AMX AMC CIP GEN #> <chr> <chr> <date> <chr> <chr> <chr> <chr> <chr> #> 1 J3 A 2012-11-21 E. coli R I S S #> 2 R7 A 2018-04-03 K. pneumoniae R I S S #> 3 P3 A 2014-09-19 E. coli R S S S #> 4 P10 A 2015-12-10 E. coli S I S S #> 5 B7 A 2015-03-02 E. coli S S S S #> 6 W3 A 2018-03-31 S. aureus R S R S #> 7 J8 A 2016-06-14 E. coli R S S S #> 8 M3 A 2015-10-25 E. coli R S S S #> 9 J3 A 2019-06-19 E. coli S S S S #> 10 G6 A 2015-04-27 S. aureus S S S S #> # ℹ 2,990 more rows # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 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\") #> ClLine truncated
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[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #> patient_id hospital date bacteria AMX AMC CIP GEN #> <chr> <chr> <date> <chr> <chr> <chr> <chr> <chr> #> 1 J3 A 2012-11-21 E. coli R I S S #> 2 R7 A 2018-04-03 K. pneumoniae R I S S #> 3 P3 A 2014-09-19 E. coli R S S S #> 4 P10 A 2015-12-10 E. coli S I S S #> 5 B7 A 2015-03-02 E. coli S S S S #> 6 W3 A 2018-03-31 S. aureus R S R S #> 7 J8 A 2016-06-14 E. coli R S S S #> 8 M3 A 2015-10-25 E. coli R S S S #> 9 J3 A 2019-06-19 E. coli S S S S #> 10 G6 A 2015-04-27 S. aureus S S S S #> # ℹ 2,990 more rows # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 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\") #> ClLine truncated
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Block a user