P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-09 01:22:25 +02:00
Code Releases Activity

(v1.6.0.9013) website update

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2021-04-29 17:16:30 +02:00
parent 5e06b20d43
commit a9fd4aa49f
41 changed files with 931 additions and 842 deletions
Download Patch File Download Diff File Expand all files Collapse all files

48
docs/reference/get_episode.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.6.0.9012</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.6.0.9013</span>
</span>
</div>
@ -90,14 +90,14 @@
<ul class="nav navbar-nav">
<li>
<a href="../index.html">
<span class="fa fa-home"></span>
<span class="fas fa-home"></span>
Home
</a>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
<span class="fa fa-question-circle"></span>
<span class="fas fa-question-circle"></span>
How to
@ -106,77 +106,77 @@
<ul class="dropdown-menu" role="menu">
<li>
<a href="../articles/AMR.html">
<span class="fa fa-directions"></span>
<span class="fas fa-directions"></span>
Conduct AMR analysis
</a>
</li>
<li>
<a href="../articles/resistance_predict.html">
<span class="fa fa-dice"></span>
<span class="fas fa-dice"></span>
Predict antimicrobial resistance
</a>
</li>
<li>
<a href="../articles/datasets.html">
<span class="fa fa-database"></span>
<span class="fas fa-database"></span>
Data sets for download / own use
</a>
</li>
<li>
<a href="../articles/PCA.html">
<span class="fa fa-compress"></span>
<span class="fas fa-compress"></span>
Conduct principal component analysis for AMR
</a>
</li>
<li>
<a href="../articles/MDR.html">
<span class="fa fa-skull-crossbones"></span>
<span class="fas fa-skull-crossbones"></span>
Determine multi-drug resistance (MDR)
</a>
</li>
<li>
<a href="../articles/WHONET.html">
<span class="fa fa-globe-americas"></span>
<span class="fas fa-globe-americas"></span>
Work with WHONET data
</a>
</li>
<li>
<a href="../articles/SPSS.html">
<span class="fa fa-file-upload"></span>
<span class="fas fa-file-upload"></span>
Import data from SPSS/SAS/Stata
</a>
</li>
<li>
<a href="../articles/EUCAST.html">
<span class="fa fa-exchange-alt"></span>
<span class="fas fa-exchange-alt"></span>
Apply EUCAST rules
</a>
</li>
<li>
<a href="../reference/mo_property.html">
<span class="fa fa-bug"></span>
<span class="fas fa-bug"></span>
Get properties of a microorganism
</a>
</li>
<li>
<a href="../reference/ab_property.html">
<span class="fa fa-capsules"></span>
<span class="fas fa-capsules"></span>
Get properties of an antibiotic
</a>
</li>
<li>
<a href="../articles/benchmarks.html">
<span class="fa fa-shipping-fast"></span>
<span class="fas fa-shipping-fast"></span>
Other: benchmarks
</a>
@ -185,21 +185,21 @@
</li>
<li>
<a href="../reference/index.html">
<span class="fa fa-book-open"></span>
<span class="fas fa-book-open"></span>
Manual
</a>
</li>
<li>
<a href="../authors.html">
<span class="fa fa-users"></span>
<span class="fas fa-users"></span>
Authors
</a>
</li>
<li>
<a href="../news/index.html">
<span class="far fa far fa-newspaper"></span>
<span class="far fa-newspaper"></span>
Changelog
</a>
@ -208,14 +208,14 @@
<ul class="nav navbar-nav navbar-right">
<li>
<a href="https://github.com/msberends/AMR">
<span class="fab fa fab fa-github"></span>
<span class="fab fa-github"></span>
Source Code
</a>
</li>
<li>
<a href="../survey.html">
<span class="fa fa-clipboard-list"></span>
<span class="fas fa-clipboard-list"></span>
Survey
</a>
@ -259,7 +259,7 @@
</tr>
<tr>
<th>...</th>
<td><p>currently not used</p></td>
<td><p>ignored, only in place to allow future extensions</p></td>
</tr>
</table>
@ -274,8 +274,8 @@
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>Dates are first sorted from old to new. The oldest date will mark the start of the first episode. After this date, the next date will be marked that is at least <code>episode_days</code> days later than the start of the first episode. From that second marked date on, the next date will be marked that is at least <code>episode_days</code> days later than the start of the second episode which will be the start of the third episode, and so on. Before the vector is being returned, the original order will be restored.</p>
<p>The <code><a href='first_isolate.html'>first_isolate()</a></code> function is a wrapper around the <code>is_new_episode()</code> function, but is more efficient for data sets containing microorganism codes or names.</p>
<p>The <code>dplyr</code> package is not required for these functions to work, but these functions support <a href='https://dplyr.tidyverse.org/reference/group_by.html'>variable grouping</a> and work conveniently inside <code>dplyr</code> verbs such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p>
<p>The <code><a href='first_isolate.html'>first_isolate()</a></code> function is a wrapper around the <code>is_new_episode()</code> function, but is more efficient for data sets containing microorganism codes or names and allows for different isolate selection methods.</p>
<p>The <code>dplyr</code> package is not required for these functions to work, but these functions do support <a href='https://dplyr.tidyverse.org/reference/group_by.html'>variable grouping</a> and work conveniently inside <code>dplyr</code> verbs such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>
@ -334,8 +334,8 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
n_episodes_30 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span>, episode_days <span class='op'>=</span> <span class='fl'>30</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># grouping on patients and microorganisms leads to the same results</span>
<span class='co'># as first_isolate():</span>
<span class='co'># grouping on patients and microorganisms leads to the same</span>
<span class='co'># results as first_isolate() when using 'episode-based':</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></span><span class='op'>(</span>include_unknown <span class='op'>=</span> <span class='cn'>TRUE</span>,
method <span class='op'>=</span> <span class='st'>"episode-based"</span><span class='op'>)</span>