mirror of
https://github.com/msberends/AMR.git
synced 2024-12-27 22:06:12 +01:00
425 lines
20 KiB
HTML
425 lines
20 KiB
HTML
<!DOCTYPE html>
|
||
<!-- Generated by pkgdown: do not edit by hand --><html lang="en">
|
||
<head>
|
||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||
<meta charset="utf-8">
|
||
<meta http-equiv="X-UA-Compatible" content="IE=edge">
|
||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||
<title>How to work with WHONET data • AMR (for R)</title>
|
||
<!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
|
||
<link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
|
||
<link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png">
|
||
<link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png">
|
||
<link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png">
|
||
<link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
|
||
<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script><!-- Bootstrap --><link href="https://cdnjs.cloudflare.com/ajax/libs/bootswatch/3.3.7/flatly/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous">
|
||
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.7.1/css/all.min.css" integrity="sha256-nAmazAk6vS34Xqo0BSrTb+abbtFlgsFK7NKSi6o7Y78=" crossorigin="anonymous">
|
||
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.7.1/css/v4-shims.min.css" integrity="sha256-6qHlizsOWFskGlwVOKuns+D1nB6ssZrHQrNj1wGplHc=" crossorigin="anonymous">
|
||
<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.9.4/headroom.min.js" integrity="sha256-DJFC1kqIhelURkuza0AvYal5RxMtpzLjFhsnVIeuk+U=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.9.4/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet">
|
||
<script src="../pkgdown.js"></script><!-- docsearch --><script src="../docsearch.js"></script><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/docsearch.js/2.6.1/docsearch.min.css" integrity="sha256-QOSRU/ra9ActyXkIBbiIB144aDBdtvXBcNc3OTNuX/Q=" crossorigin="anonymous">
|
||
<link href="../docsearch.css" rel="stylesheet">
|
||
<script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/jquery.mark.min.js" integrity="sha256-4HLtjeVgH0eIB3aZ9mLYF6E8oU5chNdjU6p6rrXpl9U=" crossorigin="anonymous"></script><link href="../extra.css" rel="stylesheet">
|
||
<script src="../extra.js"></script><meta property="og:title" content="How to work with WHONET data">
|
||
<meta property="og:description" content="">
|
||
<meta property="og:image" content="https://msberends.gitlab.io/AMR/logo.png">
|
||
<meta name="twitter:card" content="summary">
|
||
<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
|
||
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
|
||
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
|
||
<![endif]-->
|
||
</head>
|
||
<body>
|
||
<div class="container template-article">
|
||
<header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
|
||
<div class="container">
|
||
<div class="navbar-header">
|
||
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
|
||
<span class="sr-only">Toggle navigation</span>
|
||
<span class="icon-bar"></span>
|
||
<span class="icon-bar"></span>
|
||
<span class="icon-bar"></span>
|
||
</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">0.9.0.9013</span>
|
||
</span>
|
||
</div>
|
||
|
||
<div id="navbar" class="navbar-collapse collapse">
|
||
<ul class="nav navbar-nav">
|
||
<li>
|
||
<a href="../index.html">
|
||
<span class="fa 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>
|
||
|
||
How to
|
||
|
||
<span class="caret"></span>
|
||
</a>
|
||
<ul class="dropdown-menu" role="menu">
|
||
<li>
|
||
<a href="../articles/AMR.html">
|
||
<span class="fa fa-directions"></span>
|
||
|
||
Conduct AMR analysis
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../articles/resistance_predict.html">
|
||
<span class="fa fa-dice"></span>
|
||
|
||
Predict antimicrobial resistance
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../articles/MDR.html">
|
||
<span class="fa fa-skull-crossbones"></span>
|
||
|
||
Determine multi-drug resistance (MDR)
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../articles/WHONET.html">
|
||
<span class="fa fa-globe-americas"></span>
|
||
|
||
Work with WHONET data
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../articles/SPSS.html">
|
||
<span class="fa 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>
|
||
|
||
Apply EUCAST rules
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../reference/mo_property.html">
|
||
<span class="fa fa-bug"></span>
|
||
|
||
Get properties of a microorganism
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../reference/ab_property.html">
|
||
<span class="fa fa-capsules"></span>
|
||
|
||
Get properties of an antibiotic
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../articles/benchmarks.html">
|
||
<span class="fa fa-shipping-fast"></span>
|
||
|
||
Other: benchmarks
|
||
</a>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<a href="../reference/">
|
||
<span class="fa fa-book-open"></span>
|
||
|
||
Manual
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../authors.html">
|
||
<span class="fa fa-users"></span>
|
||
|
||
Authors
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../news/">
|
||
<span class="far fa far fa-newspaper"></span>
|
||
|
||
Changelog
|
||
</a>
|
||
</li>
|
||
</ul>
|
||
<ul class="nav navbar-nav navbar-right">
|
||
<li>
|
||
<a href="https://gitlab.com/msberends/AMR">
|
||
<span class="fab fa fab fa-gitlab"></span>
|
||
|
||
Source Code
|
||
</a>
|
||
</li>
|
||
<li>
|
||
<a href="../LICENSE-text.html">
|
||
<span class="fa fa-book"></span>
|
||
|
||
Licence
|
||
</a>
|
||
</li>
|
||
</ul>
|
||
<form class="navbar-form navbar-right hidden-xs hidden-sm" role="search">
|
||
<div class="form-group">
|
||
<input type="search" class="form-control" name="search-input" id="search-input" placeholder="Search..." aria-label="Search for..." autocomplete="off">
|
||
</div>
|
||
</form>
|
||
|
||
</div>
|
||
<!--/.nav-collapse -->
|
||
</div>
|
||
<!--/.container -->
|
||
</div>
|
||
<!--/.navbar -->
|
||
|
||
|
||
|
||
</header><div class="row">
|
||
<div class="col-md-9 contents">
|
||
<div class="page-header toc-ignore">
|
||
<h1>How to work with WHONET data</h1>
|
||
<h4 class="author">Matthijs S. Berends</h4>
|
||
|
||
<h4 class="date">26 January 2020</h4>
|
||
|
||
|
||
<div class="hidden name"><code>WHONET.Rmd</code></div>
|
||
|
||
</div>
|
||
|
||
|
||
|
||
<div id="import-of-data" class="section level3">
|
||
<h3 class="hasAnchor">
|
||
<a href="#import-of-data" class="anchor"></a>Import of data</h3>
|
||
<p>This tutorial assumes you already imported the WHONET data with e.g. the <a href="https://readxl.tidyverse.org/"><code>readxl</code> package</a>. In RStudio, this can be done using the menu button ‘Import Dataset’ in the tab ‘Environment’. Choose the option ‘From Excel’ and select your exported file. Make sure date fields are imported correctly.</p>
|
||
<p>An example syntax could look like this:</p>
|
||
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span>(readxl)</a>
|
||
<a class="sourceLine" id="cb1-2" data-line-number="2">data <-<span class="st"> </span><span class="kw"><a href="https://readxl.tidyverse.org/reference/read_excel.html">read_excel</a></span>(<span class="dt">path =</span> <span class="st">"path/to/your/file.xlsx"</span>)</a></code></pre></div>
|
||
<p>This package comes with an <a href="https://msberends.gitlab.io/AMR/reference/WHONET.html">example data set <code>WHONET</code></a>. We will use it for this analysis.</p>
|
||
</div>
|
||
<div id="preparation" class="section level3">
|
||
<h3 class="hasAnchor">
|
||
<a href="#preparation" class="anchor"></a>Preparation</h3>
|
||
<p>First, load the relevant packages if you did not yet did this. I use the tidyverse for all of my analyses. All of them. If you don’t know it yet, I suggest you read about it on their website: <a href="https://www.tidyverse.org/" class="uri">https://www.tidyverse.org/</a>.</p>
|
||
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span>(dplyr) <span class="co"># part of tidyverse</span></a>
|
||
<a class="sourceLine" id="cb2-2" data-line-number="2"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span>(ggplot2) <span class="co"># part of tidyverse</span></a>
|
||
<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span>(AMR) <span class="co"># this package</span></a></code></pre></div>
|
||
<p>We will have to transform some variables to simplify and automate the analysis:</p>
|
||
<ul>
|
||
<li>Microorganisms should be transformed to our own microorganism IDs (called an <code>mo</code>) using <a href="https://msberends.gitlab.io/AMR/reference/catalogue_of_life">our Catalogue of Life reference data set</a>, which contains all ~70,000 microorganisms from the taxonomic kingdoms Bacteria, Fungi and Protozoa. We do the tranformation with <code><a href="../reference/as.mo.html">as.mo()</a></code>. This function also recognises almost all WHONET abbreviations of microorganisms.</li>
|
||
<li>Antimicrobial results or interpretations have to be clean and valid. In other words, they should only contain values <code>"S"</code>, <code>"I"</code> or <code>"R"</code>. That is exactly where the <code><a href="../reference/as.rsi.html">as.rsi()</a></code> function is for.</li>
|
||
</ul>
|
||
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="co"># transform variables</span></a>
|
||
<a class="sourceLine" id="cb3-2" data-line-number="2">data <-<span class="st"> </span>WHONET <span class="op">%>%</span></a>
|
||
<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="st"> </span><span class="co"># get microbial ID based on given organism</span></a>
|
||
<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">mo =</span> <span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(Organism)) <span class="op">%>%</span><span class="st"> </span></a>
|
||
<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="st"> </span><span class="co"># transform everything from "AMP_ND10" to "CIP_EE" to the new `rsi` class</span></a>
|
||
<a class="sourceLine" id="cb3-6" data-line-number="6"><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span>(<span class="kw"><a href="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span>(AMP_ND10<span class="op">:</span>CIP_EE), as.rsi)</a></code></pre></div>
|
||
<p>No errors or warnings, so all values are transformed succesfully.</p>
|
||
<p>We also created a package dedicated to data cleaning and checking, called the <code>cleaner</code> package. It gets automatically installed with the <code>AMR</code> package. For its <code><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq()</a></code> function to create frequency tables, you don’t even need to load it yourself as it is available through the <code>AMR</code> package as well.</p>
|
||
<p>So let’s check our data, with a couple of frequency tables:</p>
|
||
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="co"># our newly created `mo` variable, put in the mo_name() function</span></a>
|
||
<a class="sourceLine" id="cb4-2" data-line-number="2">data <span class="op">%>%</span><span class="st"> </span><span class="kw"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_name</a></span>(mo), <span class="dt">nmax =</span> <span class="dv">10</span>)</a></code></pre></div>
|
||
<p><strong>Frequency table</strong></p>
|
||
<p>Class: character<br>
|
||
Length: 500 (of which NA: 0 = 0%)<br>
|
||
Unique: 39</p>
|
||
<p>Shortest: 11<br>
|
||
Longest: 40</p>
|
||
<table class="table">
|
||
<thead><tr class="header">
|
||
<th align="left"></th>
|
||
<th align="left">Item</th>
|
||
<th align="right">Count</th>
|
||
<th align="right">Percent</th>
|
||
<th align="right">Cum. Count</th>
|
||
<th align="right">Cum. Percent</th>
|
||
</tr></thead>
|
||
<tbody>
|
||
<tr class="odd">
|
||
<td align="left">1</td>
|
||
<td align="left">Escherichia coli</td>
|
||
<td align="right">245</td>
|
||
<td align="right">49.0%</td>
|
||
<td align="right">245</td>
|
||
<td align="right">49.0%</td>
|
||
</tr>
|
||
<tr class="even">
|
||
<td align="left">2</td>
|
||
<td align="left">Coagulase-negative Staphylococcus (CoNS)</td>
|
||
<td align="right">74</td>
|
||
<td align="right">14.8%</td>
|
||
<td align="right">319</td>
|
||
<td align="right">63.8%</td>
|
||
</tr>
|
||
<tr class="odd">
|
||
<td align="left">3</td>
|
||
<td align="left">Staphylococcus epidermidis</td>
|
||
<td align="right">38</td>
|
||
<td align="right">7.6%</td>
|
||
<td align="right">357</td>
|
||
<td align="right">71.4%</td>
|
||
</tr>
|
||
<tr class="even">
|
||
<td align="left">4</td>
|
||
<td align="left">Streptococcus pneumoniae</td>
|
||
<td align="right">31</td>
|
||
<td align="right">6.2%</td>
|
||
<td align="right">388</td>
|
||
<td align="right">77.6%</td>
|
||
</tr>
|
||
<tr class="odd">
|
||
<td align="left">5</td>
|
||
<td align="left">Staphylococcus hominis</td>
|
||
<td align="right">21</td>
|
||
<td align="right">4.2%</td>
|
||
<td align="right">409</td>
|
||
<td align="right">81.8%</td>
|
||
</tr>
|
||
<tr class="even">
|
||
<td align="left">6</td>
|
||
<td align="left">Proteus mirabilis</td>
|
||
<td align="right">9</td>
|
||
<td align="right">1.8%</td>
|
||
<td align="right">418</td>
|
||
<td align="right">83.6%</td>
|
||
</tr>
|
||
<tr class="odd">
|
||
<td align="left">7</td>
|
||
<td align="left">Enterococcus faecium</td>
|
||
<td align="right">8</td>
|
||
<td align="right">1.6%</td>
|
||
<td align="right">426</td>
|
||
<td align="right">85.2%</td>
|
||
</tr>
|
||
<tr class="even">
|
||
<td align="left">8</td>
|
||
<td align="left">Staphylococcus capitis</td>
|
||
<td align="right">8</td>
|
||
<td align="right">1.6%</td>
|
||
<td align="right">434</td>
|
||
<td align="right">86.8%</td>
|
||
</tr>
|
||
<tr class="odd">
|
||
<td align="left">9</td>
|
||
<td align="left">Enterobacter cloacae</td>
|
||
<td align="right">5</td>
|
||
<td align="right">1.0%</td>
|
||
<td align="right">439</td>
|
||
<td align="right">87.8%</td>
|
||
</tr>
|
||
<tr class="even">
|
||
<td align="left">10</td>
|
||
<td align="left">Enterococcus columbae</td>
|
||
<td align="right">4</td>
|
||
<td align="right">0.8%</td>
|
||
<td align="right">443</td>
|
||
<td align="right">88.6%</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>(omitted 29 entries, n = 57 [11.40%])</p>
|
||
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="co"># our transformed antibiotic columns</span></a>
|
||
<a class="sourceLine" id="cb5-2" data-line-number="2"><span class="co"># amoxicillin/clavulanic acid (J01CR02) as an example</span></a>
|
||
<a class="sourceLine" id="cb5-3" data-line-number="3">data <span class="op">%>%</span><span class="st"> </span><span class="kw"><a href="https://rdrr.io/pkg/cleaner/man/freq.html">freq</a></span>(AMC_ND2)</a></code></pre></div>
|
||
<p><strong>Frequency table</strong></p>
|
||
<p>Class: factor > ordered > rsi (numeric)<br>
|
||
Length: 500 (of which NA: 19 = 3.8%)<br>
|
||
Levels: 3: S < I < R<br>
|
||
Unique: 3</p>
|
||
<p>%SI: 78.6%</p>
|
||
<table class="table">
|
||
<thead><tr class="header">
|
||
<th align="left"></th>
|
||
<th align="left">Item</th>
|
||
<th align="right">Count</th>
|
||
<th align="right">Percent</th>
|
||
<th align="right">Cum. Count</th>
|
||
<th align="right">Cum. Percent</th>
|
||
</tr></thead>
|
||
<tbody>
|
||
<tr class="odd">
|
||
<td align="left">1</td>
|
||
<td align="left">S</td>
|
||
<td align="right">356</td>
|
||
<td align="right">74.01%</td>
|
||
<td align="right">356</td>
|
||
<td align="right">74.01%</td>
|
||
</tr>
|
||
<tr class="even">
|
||
<td align="left">2</td>
|
||
<td align="left">R</td>
|
||
<td align="right">103</td>
|
||
<td align="right">21.41%</td>
|
||
<td align="right">459</td>
|
||
<td align="right">95.43%</td>
|
||
</tr>
|
||
<tr class="odd">
|
||
<td align="left">3</td>
|
||
<td align="left">I</td>
|
||
<td align="right">22</td>
|
||
<td align="right">4.57%</td>
|
||
<td align="right">481</td>
|
||
<td align="right">100.00%</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
<div id="a-first-glimpse-at-results" class="section level3">
|
||
<h3 class="hasAnchor">
|
||
<a href="#a-first-glimpse-at-results" class="anchor"></a>A first glimpse at results</h3>
|
||
<p>An easy <code>ggplot</code> will already give a lot of information, using the included <code><a href="../reference/ggplot_rsi.html">ggplot_rsi()</a></code> function:</p>
|
||
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1">data <span class="op">%>%</span></a>
|
||
<a class="sourceLine" id="cb6-2" data-line-number="2"><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(Country) <span class="op">%>%</span></a>
|
||
<a class="sourceLine" id="cb6-3" data-line-number="3"><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(Country, AMP_ND2, AMC_ED20, CAZ_ED10, CIP_ED5) <span class="op">%>%</span></a>
|
||
<a class="sourceLine" id="cb6-4" data-line-number="4"><span class="st"> </span><span class="kw"><a href="../reference/ggplot_rsi.html">ggplot_rsi</a></span>(<span class="dt">translate_ab =</span> <span class="st">'ab'</span>, <span class="dt">facet =</span> <span class="st">"Country"</span>, <span class="dt">datalabels =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
|
||
<p><img src="WHONET_files/figure-html/unnamed-chunk-7-1.png" width="720"></p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
|
||
<footer><div class="copyright">
|
||
<p>Developed by <a href="https://www.rug.nl/staff/m.s.berends/">Matthijs S. Berends</a>, <a href="https://www.rug.nl/staff/c.f.luz/">Christian F. Luz</a>, <a href="https://www.rug.nl/staff/a.w.friedrich/">Alexander W. Friedrich</a>, <a href="https://www.rug.nl/staff/b.sinha/">Bhanu N. M. Sinha</a>, <a href="https://www.rug.nl/staff/c.j.albers/">Casper J. Albers</a>, <a href="https://www.rug.nl/staff/c.glasner/">Corinna Glasner</a>.</p>
|
||
</div>
|
||
|
||
<div class="pkgdown">
|
||
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.4.1.</p>
|
||
</div>
|
||
|
||
</footer>
|
||
</div>
|
||
|
||
|
||
<script src="https://cdnjs.cloudflare.com/ajax/libs/docsearch.js/2.6.1/docsearch.min.js" integrity="sha256-GKvGqXDznoRYHCwKXGnuchvKSwmx9SRMrZOTh2g4Sb0=" crossorigin="anonymous"></script><script>
|
||
docsearch({
|
||
|
||
|
||
apiKey: 'f737050abfd4d726c63938e18f8c496e',
|
||
indexName: 'amr',
|
||
inputSelector: 'input#search-input.form-control',
|
||
transformData: function(hits) {
|
||
return hits.map(function (hit) {
|
||
hit.url = updateHitURL(hit);
|
||
return hit;
|
||
});
|
||
}
|
||
});
|
||
</script>
|
||
</body>
|
||
</html>
|