mirror of
https://github.com/msberends/AMR.git
synced 2024-12-26 16:46:13 +01:00
365 lines
26 KiB
HTML
365 lines
26 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, shrink-to-fit=no"><meta name="description" content="Produces a ggplot2 variant of a so-called biplot for PCA (principal component analysis), but is more flexible and more appealing than the base R biplot() function."><title>PCA Biplot with ggplot2 — ggplot_pca • 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"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Fira_Code-0.4.5/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><script src="../extra.js"></script><meta property="og:title" content="PCA Biplot with ggplot2 — ggplot_pca"><meta property="og:description" content="Produces a ggplot2 variant of a so-called biplot for PCA (principal component analysis), but is more flexible and more appealing than the base R biplot() function."><meta property="og:image" content="https://msberends.github.io/AMR/logo.svg"><meta name="twitter:card" content="summary_large_image"><meta name="twitter:creator" content="@msberends"><meta name="twitter:site" content="@msberends"><!-- 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>
|
||
<a href="#main" class="visually-hidden-focusable">Skip to contents</a>
|
||
|
||
|
||
<nav class="navbar fixed-top navbar-dark navbar-expand-lg bg-primary"><div class="container">
|
||
|
||
<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="">2.0.0.9003</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">
|
||
<span class="navbar-toggler-icon"></span>
|
||
</button>
|
||
|
||
<div id="navbar" class="collapse navbar-collapse ms-3">
|
||
<ul class="navbar-nav me-auto"><li class="nav-item">
|
||
<a class="nav-link" href="../index.html">
|
||
<span class="fa fa-home"></span>
|
||
|
||
Home
|
||
</a>
|
||
</li>
|
||
<li class="nav-item dropdown">
|
||
<a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown--how-to">
|
||
<span class="fa fa-question-circle"></span>
|
||
|
||
How to
|
||
</a>
|
||
<div class="dropdown-menu" aria-labelledby="dropdown--how-to">
|
||
<a class="dropdown-item" href="../articles/AMR.html">
|
||
<span class="fa fa-directions"></span>
|
||
|
||
Conduct AMR Analysis
|
||
</a>
|
||
<a class="dropdown-item" href="../reference/antibiogram.html">
|
||
<span class="fa fa-file-prescription"></span>
|
||
|
||
Generate Antibiogram (Trad./Syndromic/WISCA)
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/resistance_predict.html">
|
||
<span class="fa fa-dice"></span>
|
||
|
||
Predict Antimicrobial Resistance
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/datasets.html">
|
||
<span class="fa fa-database"></span>
|
||
|
||
Download Data Sets for Own Use
|
||
</a>
|
||
<a class="dropdown-item" href="../reference/AMR-options.html">
|
||
<span class="fa fa-gear"></span>
|
||
|
||
Set User- Or Team-specific Package Settings
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/PCA.html">
|
||
<span class="fa fa-compress"></span>
|
||
|
||
Conduct Principal Component Analysis for AMR
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/MDR.html">
|
||
<span class="fa fa-skull-crossbones"></span>
|
||
|
||
Determine Multi-Drug Resistance (MDR)
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/WHONET.html">
|
||
<span class="fa fa-globe-americas"></span>
|
||
|
||
Work with WHONET Data
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/SPSS.html">
|
||
<span class="fa fa-file-upload"></span>
|
||
|
||
Import Data From SPSS/SAS/Stata
|
||
</a>
|
||
<a class="dropdown-item" href="../articles/EUCAST.html">
|
||
<span class="fa fa-exchange-alt"></span>
|
||
|
||
Apply Eucast Rules
|
||
</a>
|
||
<a class="dropdown-item" href="../reference/mo_property.html">
|
||
<span class="fa fa-bug"></span>
|
||
|
||
Get Taxonomy of a Microorganism
|
||
</a>
|
||
<a class="dropdown-item" href="../reference/ab_property.html">
|
||
<span class="fa fa-capsules"></span>
|
||
|
||
Get Properties of an Antibiotic Drug
|
||
</a>
|
||
<a class="dropdown-item" href="../reference/av_property.html">
|
||
<span class="fa fa-capsules"></span>
|
||
|
||
Get Properties of an Antiviral Drug
|
||
</a>
|
||
</div>
|
||
</li>
|
||
<li class="active nav-item">
|
||
<a class="nav-link" href="../reference/index.html">
|
||
<span class="fa fa-book-open"></span>
|
||
|
||
Manual
|
||
</a>
|
||
</li>
|
||
<li class="nav-item">
|
||
<a class="nav-link" href="../authors.html">
|
||
<span class="fa fa-users"></span>
|
||
|
||
Authors
|
||
</a>
|
||
</li>
|
||
<li class="nav-item">
|
||
<a class="nav-link" href="../news/index.html">
|
||
<span class="far fa far fa-newspaper"></span>
|
||
|
||
Changelog
|
||
</a>
|
||
</li>
|
||
</ul><form class="form-inline my-2 my-lg-0" role="search">
|
||
<input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
|
||
|
||
<ul class="navbar-nav"><li class="nav-item">
|
||
<a class="external-link nav-link" href="https://github.com/msberends/AMR">
|
||
<span class="fab fa fab fa-github"></span>
|
||
|
||
Source Code
|
||
</a>
|
||
</li>
|
||
</ul></div>
|
||
|
||
|
||
</div>
|
||
</nav><div class="container template-reference-topic">
|
||
<div class="row">
|
||
<main id="main" class="col-md-9"><div class="page-header">
|
||
<img src="../logo.svg" class="logo" alt=""><h1>PCA Biplot with <code>ggplot2</code></h1>
|
||
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/R/ggplot_pca.R" class="external-link"><code>R/ggplot_pca.R</code></a></small>
|
||
<div class="d-none name"><code>ggplot_pca.Rd</code></div>
|
||
</div>
|
||
|
||
<div class="ref-description section level2">
|
||
<p>Produces a <code>ggplot2</code> variant of a so-called <a href="https://en.wikipedia.org/wiki/Biplot" class="external-link">biplot</a> for PCA (principal component analysis), but is more flexible and more appealing than the base <span style="R">R</span> <code><a href="https://rdrr.io/r/stats/biplot.html" class="external-link">biplot()</a></code> function.</p>
|
||
</div>
|
||
|
||
<div class="section level2">
|
||
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
|
||
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ggplot_pca</span><span class="op">(</span></span>
|
||
<span> <span class="va">x</span>,</span>
|
||
<span> choices <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fl">2</span>,</span>
|
||
<span> scale <span class="op">=</span> <span class="fl">1</span>,</span>
|
||
<span> pc.biplot <span class="op">=</span> <span class="cn">TRUE</span>,</span>
|
||
<span> labels <span class="op">=</span> <span class="cn">NULL</span>,</span>
|
||
<span> labels_textsize <span class="op">=</span> <span class="fl">3</span>,</span>
|
||
<span> labels_text_placement <span class="op">=</span> <span class="fl">1.5</span>,</span>
|
||
<span> groups <span class="op">=</span> <span class="cn">NULL</span>,</span>
|
||
<span> ellipse <span class="op">=</span> <span class="cn">TRUE</span>,</span>
|
||
<span> ellipse_prob <span class="op">=</span> <span class="fl">0.68</span>,</span>
|
||
<span> ellipse_size <span class="op">=</span> <span class="fl">0.5</span>,</span>
|
||
<span> ellipse_alpha <span class="op">=</span> <span class="fl">0.5</span>,</span>
|
||
<span> points_size <span class="op">=</span> <span class="fl">2</span>,</span>
|
||
<span> points_alpha <span class="op">=</span> <span class="fl">0.25</span>,</span>
|
||
<span> arrows <span class="op">=</span> <span class="cn">TRUE</span>,</span>
|
||
<span> arrows_colour <span class="op">=</span> <span class="st">"darkblue"</span>,</span>
|
||
<span> arrows_size <span class="op">=</span> <span class="fl">0.5</span>,</span>
|
||
<span> arrows_textsize <span class="op">=</span> <span class="fl">3</span>,</span>
|
||
<span> arrows_textangled <span class="op">=</span> <span class="cn">TRUE</span>,</span>
|
||
<span> arrows_alpha <span class="op">=</span> <span class="fl">0.75</span>,</span>
|
||
<span> base_textsize <span class="op">=</span> <span class="fl">10</span>,</span>
|
||
<span> <span class="va">...</span></span>
|
||
<span><span class="op">)</span></span></code></pre></div>
|
||
</div>
|
||
|
||
<div class="section level2">
|
||
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
|
||
<p>The <code>ggplot_pca()</code> function is based on the <code>ggbiplot()</code> function from the <code>ggbiplot</code> package by Vince Vu, as found on GitHub: <a href="https://github.com/vqv/ggbiplot" class="external-link">https://github.com/vqv/ggbiplot</a> (retrieved: 2 March 2020, their latest commit: <a href="https://github.com/vqv/ggbiplot/commit/7325e880485bea4c07465a0304c470608fffb5d9" class="external-link"><code>7325e88</code></a>; 12 February 2015).</p>
|
||
<p>As per their GPL-2 licence that demands documentation of code changes, the changes made based on the source code were:</p><ol><li><p>Rewritten code to remove the dependency on packages <code>plyr</code>, <code>scales</code> and <code>grid</code></p></li>
|
||
<li><p>Parametrised more options, like arrow and ellipse settings</p></li>
|
||
<li><p>Hardened all input possibilities by defining the exact type of user input for every argument</p></li>
|
||
<li><p>Added total amount of explained variance as a caption in the plot</p></li>
|
||
<li><p>Cleaned all syntax based on the <code>lintr</code> package, fixed grammatical errors and added integrity checks</p></li>
|
||
<li><p>Updated documentation</p></li>
|
||
</ol></div>
|
||
<div class="section level2">
|
||
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
|
||
<dl><dt>x</dt>
|
||
<dd><p>an object returned by <code><a href="pca.html">pca()</a></code>, <code><a href="https://rdrr.io/r/stats/prcomp.html" class="external-link">prcomp()</a></code> or <code><a href="https://rdrr.io/r/stats/princomp.html" class="external-link">princomp()</a></code></p></dd>
|
||
|
||
|
||
<dt>choices</dt>
|
||
<dd><p>length 2 vector specifying the components to plot. Only the default
|
||
is a biplot in the strict sense.</p></dd>
|
||
|
||
|
||
<dt>scale</dt>
|
||
<dd><p>The variables are scaled by <code>lambda ^ scale</code> and the
|
||
observations are scaled by <code>lambda ^ (1-scale)</code> where
|
||
<code>lambda</code> are the singular values as computed by
|
||
<code><a href="https://rdrr.io/r/stats/princomp.html" class="external-link">princomp</a></code>. Normally <code>0 <= scale <= 1</code>, and a warning
|
||
will be issued if the specified <code>scale</code> is outside this range.</p></dd>
|
||
|
||
|
||
<dt>pc.biplot</dt>
|
||
<dd><p>If true, use what Gabriel (1971) refers to as a "principal component
|
||
biplot", with <code>lambda = 1</code> and observations scaled up by sqrt(n) and
|
||
variables scaled down by sqrt(n). Then inner products between
|
||
variables approximate covariances and distances between observations
|
||
approximate Mahalanobis distance.</p></dd>
|
||
|
||
|
||
<dt>labels</dt>
|
||
<dd><p>an optional vector of labels for the observations. If set, the labels will be placed below their respective points. When using the <code><a href="pca.html">pca()</a></code> function as input for <code>x</code>, this will be determined automatically based on the attribute <code>non_numeric_cols</code>, see <code><a href="pca.html">pca()</a></code>.</p></dd>
|
||
|
||
|
||
<dt>labels_textsize</dt>
|
||
<dd><p>the size of the text used for the labels</p></dd>
|
||
|
||
|
||
<dt>labels_text_placement</dt>
|
||
<dd><p>adjustment factor the placement of the variable names (<code>>=1</code> means further away from the arrow head)</p></dd>
|
||
|
||
|
||
<dt>groups</dt>
|
||
<dd><p>an optional vector of groups for the labels, with the same length as <code>labels</code>. If set, the points and labels will be coloured according to these groups. When using the <code><a href="pca.html">pca()</a></code> function as input for <code>x</code>, this will be determined automatically based on the attribute <code>non_numeric_cols</code>, see <code><a href="pca.html">pca()</a></code>.</p></dd>
|
||
|
||
|
||
<dt>ellipse</dt>
|
||
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether a normal data ellipse should be drawn for each group (set with <code>groups</code>)</p></dd>
|
||
|
||
|
||
<dt>ellipse_prob</dt>
|
||
<dd><p>statistical size of the ellipse in normal probability</p></dd>
|
||
|
||
|
||
<dt>ellipse_size</dt>
|
||
<dd><p>the size of the ellipse line</p></dd>
|
||
|
||
|
||
<dt>ellipse_alpha</dt>
|
||
<dd><p>the alpha (transparency) of the ellipse line</p></dd>
|
||
|
||
|
||
<dt>points_size</dt>
|
||
<dd><p>the size of the points</p></dd>
|
||
|
||
|
||
<dt>points_alpha</dt>
|
||
<dd><p>the alpha (transparency) of the points</p></dd>
|
||
|
||
|
||
<dt>arrows</dt>
|
||
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether arrows should be drawn</p></dd>
|
||
|
||
|
||
<dt>arrows_colour</dt>
|
||
<dd><p>the colour of the arrow and their text</p></dd>
|
||
|
||
|
||
<dt>arrows_size</dt>
|
||
<dd><p>the size (thickness) of the arrow lines</p></dd>
|
||
|
||
|
||
<dt>arrows_textsize</dt>
|
||
<dd><p>the size of the text at the end of the arrows</p></dd>
|
||
|
||
|
||
<dt>arrows_textangled</dt>
|
||
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> whether the text at the end of the arrows should be angled</p></dd>
|
||
|
||
|
||
<dt>arrows_alpha</dt>
|
||
<dd><p>the alpha (transparency) of the arrows and their text</p></dd>
|
||
|
||
|
||
<dt>base_textsize</dt>
|
||
<dd><p>the text size for all plot elements except the labels and arrows</p></dd>
|
||
|
||
|
||
<dt>...</dt>
|
||
<dd><p>arguments passed on to functions</p></dd>
|
||
|
||
</dl></div>
|
||
<div class="section level2">
|
||
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
|
||
<p>The colours for labels and points can be changed by adding another scale layer for colour, such as <code><a href="https://ggplot2.tidyverse.org/reference/scale_viridis.html" class="external-link">scale_colour_viridis_d()</a></code> and <code><a href="https://ggplot2.tidyverse.org/reference/scale_brewer.html" class="external-link">scale_colour_brewer()</a></code>.</p>
|
||
</div>
|
||
|
||
<div class="section level2">
|
||
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
|
||
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># `example_isolates` is a data set available in the AMR package.</span></span></span>
|
||
<span class="r-in"><span><span class="co"># See ?example_isolates.</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
|
||
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
|
||
<span class="r-in"><span> <span class="co"># calculate the resistance per group first</span></span></span>
|
||
<span class="r-in"><span> <span class="va">resistance_data</span> <span class="op"><-</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></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span></span></span>
|
||
<span class="r-in"><span> order <span class="op">=</span> <span class="fu"><a href="mo_property.html">mo_order</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span>, <span class="co"># group on anything, like order</span></span></span>
|
||
<span class="r-in"><span> genus <span class="op">=</span> <span class="fu"><a href="mo_property.html">mo_genus</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><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"># and genus as we do here;</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/context.html" class="external-link">n</a></span><span class="op">(</span><span class="op">)</span> <span class="op">>=</span> <span class="fl">30</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"># filter on only 30 results per group</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise_all.html" class="external-link">summarise_if</a></span><span class="op">(</span><span class="va">is.sir</span>, <span class="va">resistance</span><span class="op">)</span> <span class="co"># then get resistance of all drugs</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span> <span class="co"># now conduct PCA for certain antimicrobial drugs</span></span></span>
|
||
<span class="r-in"><span> <span class="va">pca_result</span> <span class="op"><-</span> <span class="va">resistance_data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="pca.html">pca</a></span><span class="op">(</span><span class="va">AMC</span>, <span class="va">CXM</span>, <span class="va">CTX</span>, <span class="va">CAZ</span>, <span class="va">GEN</span>, <span class="va">TOB</span>, <span class="va">TMP</span>, <span class="va">SXT</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">pca_result</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span> <span class="co"># old base R plotting method:</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/stats/biplot.html" class="external-link">biplot</a></span><span class="op">(</span><span class="va">pca_result</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span> <span class="co"># new ggplot2 plotting method using this package:</span></span></span>
|
||
<span class="r-in"><span> <span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://ggplot2.tidyverse.org" class="external-link">"ggplot2"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
|
||
<span class="r-in"><span> <span class="fu">ggplot_pca</span><span class="op">(</span><span class="va">pca_result</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><span></span></span>
|
||
<span class="r-in"><span> <span class="co"># still extendible with any ggplot2 function</span></span></span>
|
||
<span class="r-in"><span> <span class="fu">ggplot_pca</span><span class="op">(</span><span class="va">pca_result</span><span class="op">)</span> <span class="op">+</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_viridis.html" class="external-link">scale_colour_viridis_d</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span></span>
|
||
<span class="r-in"><span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>title <span class="op">=</span> <span class="st">"Title here"</span><span class="op">)</span></span></span>
|
||
<span class="r-in"><span> <span class="op">}</span></span></span>
|
||
<span class="r-in"><span><span class="op">}</span></span></span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> <span class="warning">Warning: </span>There were 73 warnings in `summarise()`.</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> The first warning was:</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> In argument: `PEN = (function (..., minimum = 30, as_percent = FALSE,</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> only_all_tested = FALSE) ...`.</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> In group 5: `order = "Lactobacillales"`, `genus = "Enterococcus"`.</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> Caused by warning:</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> <span style="color: #BBBB00;">!</span> Introducing NA: only 14 results available for PEN in group: order =</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> "Lactobacillales", genus = "Enterococcus" (minimum = 30).</span>
|
||
<span class="r-wrn co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> Run `dplyr::last_dplyr_warnings()` to see the 72 remaining warnings.</span>
|
||
<span class="r-msg co"><span class="r-pr">#></span> ℹ Columns selected for PCA: "AMC", "CAZ", "CTX", "CXM", "GEN", "SXT",</span>
|
||
<span class="r-msg co"><span class="r-pr">#></span> "TMP", and "TOB". Total observations available: 7.</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> Groups (n=4, named as 'order'):</span>
|
||
<span class="r-out co"><span class="r-pr">#></span> [1] "Caryophanales" "Enterobacterales" "Lactobacillales" "Pseudomonadales" </span>
|
||
<span class="r-out co"><span class="r-pr">#></span> </span>
|
||
<span class="r-plt img"><img src="ggplot_pca-1.png" alt="" width="700" height="433"></span>
|
||
<span class="r-plt img"><img src="ggplot_pca-2.png" alt="" width="700" height="433"></span>
|
||
<span class="r-in"><span><span class="co"># }</span></span></span>
|
||
</code></pre></div>
|
||
</div>
|
||
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
|
||
</nav></aside></div>
|
||
|
||
|
||
<footer><div class="pkgdown-footer-left">
|
||
<p></p><p><code>AMR</code> (for R). Free and open-source, licenced under the <a target="_blank" href="https://github.com/msberends/AMR/blob/main/LICENSE" class="external-link">GNU General Public License version 2.0 (GPL-2)</a>.<br>Developed at the <a target="_blank" href="https://www.rug.nl" class="external-link">University of Groningen</a> and <a target="_blank" href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a> in The Netherlands.</p>
|
||
</div>
|
||
|
||
<div class="pkgdown-footer-right">
|
||
<p></p><p><a target="_blank" href="https://www.rug.nl" class="external-link"><img src="https://github.com/msberends/AMR/raw/main/pkgdown/logos/logo_rug.svg" style="max-width: 150px;"></a><a target="_blank" href="https://www.umcg.nl" class="external-link"><img src="https://github.com/msberends/AMR/raw/main/pkgdown/logos/logo_umcg.svg" style="max-width: 150px;"></a></p>
|
||
</div>
|
||
|
||
</footer></div>
|
||
|
||
|
||
|
||
|
||
|
||
</body></html>
|
||
|