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<!DOCTYPE html>
<html>
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<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="author" content="Lee HenryPhoebe Cunningham" />
<meta name="date" content="2024-08-29" />
<title>Vegan Diversity Workshop</title>
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<section class="page-header">
<h1 class="title toc-ignore project-name">Vegan Diversity Workshop</h1>
<h4 class="author project-author">Lee HenryPhoebe Cunningham</h4>
<h4 class="date project-date">2024-08-29</h4>
</section>
<section class="main-content">
<div id="setting-up-in-r" class="section level1">
<h1>Setting up in R</h1>
<p>Open an R script by choosing new file R script, and save this script
“BIO771P_VeganExercise”.</p>
<p>In this document, everything in the grey “chunks” is code that you
will need to copy over into your R script and run. There is a
descriptions of what each piece of code is doing, but for now you just
need to use the code to understand the data and the factors influencing
microbial diversity in ants.</p>
<p>R has lots of functions built in, in what is known as base R, but for
this kind of analysis you will need some extra “packages” which will
provide some more complex functions to digest and visualise the data for
diversity analysis. Most importantly you will be using the package vegan
and ggplot2.</p>
<p>Let’s load the packages using the code chunk below. Copy and paste
this into your R script, highlight the code and click the “run” button
on the top right hand part of the screen. <em>Continue to do this for
each line of code below, being careful to read the text above each
chunk.</em> Remember you can annotate you code in the R script using
#.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="co"># List of libraries to load</span></span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>libraries <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">"vegan"</span>, <span class="st">"dplyr"</span>, <span class="st">"ggplot2"</span>,<span class="st">"ape"</span>, <span class="st">"lme4"</span>)</span>
<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a></span>
<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co"># Function to install and load a package</span></span>
<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>load_or_install <span class="ot"><-</span> <span class="cf">function</span>(pkg) {</span>
<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a> <span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(pkg, <span class="at">character.only =</span> <span class="cn">TRUE</span>)) {</span>
<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste</span>(<span class="st">"Package"</span>, pkg, <span class="st">"is not installed. Attempting to install..."</span>))</span>
<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a> <span class="fu">tryCatch</span>({</span>
<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a> <span class="fu">install.packages</span>(pkg)</span>
<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a> <span class="fu">library</span>(pkg, <span class="at">character.only =</span> <span class="cn">TRUE</span>)</span>
<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a> }, <span class="at">error =</span> <span class="cf">function</span>(e) {</span>
<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste</span>(<span class="st">"Failed to install"</span>, pkg, <span class="st">"using install.packages(). Trying remotes or BiocManager..."</span>))</span>
<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a> <span class="cf">if</span> (<span class="sc">!</span><span class="fu">requireNamespace</span>(<span class="st">"remotes"</span>, <span class="at">quietly =</span> <span class="cn">TRUE</span>)) {</span>
<span id="cb1-14"><a href="#cb1-14" tabindex="-1"></a> <span class="fu">install.packages</span>(<span class="st">"remotes"</span>)</span>
<span id="cb1-15"><a href="#cb1-15" tabindex="-1"></a> }</span>
<span id="cb1-16"><a href="#cb1-16" tabindex="-1"></a> <span class="cf">if</span> (<span class="sc">!</span><span class="fu">requireNamespace</span>(<span class="st">"BiocManager"</span>, <span class="at">quietly =</span> <span class="cn">TRUE</span>)) {</span>
<span id="cb1-17"><a href="#cb1-17" tabindex="-1"></a> <span class="fu">install.packages</span>(<span class="st">"BiocManager"</span>)</span>
<span id="cb1-18"><a href="#cb1-18" tabindex="-1"></a> }</span>
<span id="cb1-19"><a href="#cb1-19" tabindex="-1"></a> <span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(pkg, <span class="at">character.only =</span> <span class="cn">TRUE</span>)) {</span>
<span id="cb1-20"><a href="#cb1-20" tabindex="-1"></a> <span class="cf">if</span> (pkg <span class="sc">%in%</span> <span class="fu">rownames</span>(<span class="fu">available.packages</span>())) {</span>
<span id="cb1-21"><a href="#cb1-21" tabindex="-1"></a> remotes<span class="sc">::</span><span class="fu">install_cran</span>(pkg)</span>
<span id="cb1-22"><a href="#cb1-22" tabindex="-1"></a> } <span class="cf">else</span> {</span>
<span id="cb1-23"><a href="#cb1-23" tabindex="-1"></a> BiocManager<span class="sc">::</span><span class="fu">install</span>(pkg)</span>
<span id="cb1-24"><a href="#cb1-24" tabindex="-1"></a> }</span>
<span id="cb1-25"><a href="#cb1-25" tabindex="-1"></a> }</span>
<span id="cb1-26"><a href="#cb1-26" tabindex="-1"></a> <span class="fu">library</span>(pkg, <span class="at">character.only =</span> <span class="cn">TRUE</span>)</span>
<span id="cb1-27"><a href="#cb1-27" tabindex="-1"></a> })</span>
<span id="cb1-28"><a href="#cb1-28" tabindex="-1"></a> } <span class="cf">else</span> {</span>
<span id="cb1-29"><a href="#cb1-29" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste</span>(<span class="st">"Package"</span>, pkg, <span class="st">"is already installed."</span>))</span>
<span id="cb1-30"><a href="#cb1-30" tabindex="-1"></a> }</span>
<span id="cb1-31"><a href="#cb1-31" tabindex="-1"></a>}</span>
<span id="cb1-32"><a href="#cb1-32" tabindex="-1"></a></span>
<span id="cb1-33"><a href="#cb1-33" tabindex="-1"></a><span class="co"># Loop through the list and load or install each package</span></span>
<span id="cb1-34"><a href="#cb1-34" tabindex="-1"></a><span class="cf">for</span> (lib <span class="cf">in</span> libraries) {</span>
<span id="cb1-35"><a href="#cb1-35" tabindex="-1"></a> <span class="fu">load_or_install</span>(lib)</span>
<span id="cb1-36"><a href="#cb1-36" tabindex="-1"></a>}</span></code></pre></div>
<div id="bringing-in-the-data" class="section level2">
<h2>Bringing in the data</h2>
<p>Now we will bring in the datasets, these have been saved as either
comma separated files (.csv) or tab separated file (.txt) and need to be
brought into the R workspace using either read.csv() or read.table(). We
need two datasets for our analysis:</p>
<ul>
<li>Metadata which contains all the information we now about each
individual sample</li>
<li>Presence/absence data of the microbes in the form of a count matrix
of <em>amplicon sequence variants (ASV’s)</em></li>
</ul>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a>meta_data <span class="ot"><-</span> <span class="fu">read.csv</span>(<span class="st">"/Users/phoebecunningham/Desktop/QMUL/Presentations/ant-metadata.csv"</span>)</span>
<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a>asv_table <span class="ot"><-</span> <span class="fu">read.table</span>(<span class="st">"/Users/phoebecunningham/Desktop/QMUL/Presentations/asv-table.txt"</span>, <span class="at">header=</span>T, <span class="at">check.names =</span> F)</span>
<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a><span class="fu">rownames</span>(asv_table) <span class="ot"><-</span> asv_table<span class="sc">$</span>sample_id</span>
<span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a>asv_table<span class="sc">$</span>sample_id <span class="ot"><-</span> <span class="cn">NULL</span></span></code></pre></div>
<p>Have a look at the datasets set you have brought in. What do they
look like?</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="fu">head</span>(asv_table)</span>
<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a><span class="fu">head</span>(meta_data)</span></code></pre></div>
</div>
<div id="alpha-diversity" class="section level2">
<h2>Alpha Diversity</h2>
<p>For alpha diversity you can use vegan to calculate a vector which
captures the diversity of each sample in one number. Usually, the higher
the number the greater the diversity of the sample. Here we will capture
the alpha diversity using Shannon’d vecor and Simpson diversity index
which can both be generated using the function diversity() from the
package vegan.</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="do">## Get the alpha diversity matrices</span></span>
<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a>simpson <span class="ot"><-</span> vegan<span class="sc">::</span><span class="fu">diversity</span>(asv_table, <span class="st">"simpson"</span>)</span>
<span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a>shannon <span class="ot"><-</span> vegan<span class="sc">::</span><span class="fu">diversity</span>(asv_table, <span class="st">"shannon"</span>)</span>
<span id="cb4-4"><a href="#cb4-4" tabindex="-1"></a>shannon.df <span class="ot"><-</span> <span class="fu">as.data.frame</span>(shannon)</span>
<span id="cb4-5"><a href="#cb4-5" tabindex="-1"></a>shannon.df<span class="sc">$</span>sample_id <span class="ot"><-</span> <span class="fu">rownames</span>(shannon.df)</span>
<span id="cb4-6"><a href="#cb4-6" tabindex="-1"></a>shannon.df <span class="ot"><-</span> <span class="fu">merge</span>(shannon.df, meta_data, <span class="at">by=</span><span class="st">"sample_id"</span>)</span></code></pre></div>
</div>
<div id="beta-diversity" class="section level2">
<h2>Beta diversity</h2>
<p>For beta diversity you need to digest the data into distance
matrices. These give you and indication of the dissimilarity between
samples measure as aditance. You can create these in vegan using the
function vegdist().</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a><span class="do">## Get the distance matrices</span></span>
<span id="cb5-2"><a href="#cb5-2" tabindex="-1"></a>jaccard <span class="ot"><-</span> <span class="fu">vegdist</span>(asv_table, <span class="at">method =</span> <span class="st">"jaccard"</span>)</span>
<span id="cb5-3"><a href="#cb5-3" tabindex="-1"></a>bray_curtis <span class="ot"><-</span> <span class="fu">vegdist</span>(asv_table, <span class="at">method =</span> <span class="st">"bray"</span>)</span>
<span id="cb5-4"><a href="#cb5-4" tabindex="-1"></a></span>
<span id="cb5-5"><a href="#cb5-5" tabindex="-1"></a>pcoa <span class="ot"><-</span> <span class="fu">pcoa</span>(jaccard) <span class="co"># replace with bray once you have done jaccard</span></span>
<span id="cb5-6"><a href="#cb5-6" tabindex="-1"></a>pcoa.vectors <span class="ot"><-</span> <span class="fu">as.data.frame</span>(pcoa<span class="sc">$</span>vectors[,<span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>])</span>
<span id="cb5-7"><a href="#cb5-7" tabindex="-1"></a>pcoa.values <span class="ot"><-</span> <span class="fu">as.data.frame</span>(pcoa<span class="sc">$</span>values)</span>
<span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a>pcoa.df <span class="ot"><-</span> <span class="fu">cbind</span>(pcoa.vectors, pcoa.values)</span>
<span id="cb5-9"><a href="#cb5-9" tabindex="-1"></a>pcoa.df<span class="sc">$</span>loggedeigen <span class="ot"><-</span> pcoa.df<span class="sc">$</span>Eigenvalues<span class="sc">^</span>(<span class="dv">1</span><span class="sc">/</span><span class="dv">3</span>)</span>
<span id="cb5-10"><a href="#cb5-10" tabindex="-1"></a><span class="fu">colnames</span>(pcoa.df)[<span class="fu">which</span>(<span class="fu">names</span>(pcoa.df) <span class="sc">==</span> <span class="st">"Axis.1"</span>)] <span class="ot"><-</span> <span class="st">"PC1"</span></span>
<span id="cb5-11"><a href="#cb5-11" tabindex="-1"></a><span class="fu">colnames</span>(pcoa.df)[<span class="fu">which</span>(<span class="fu">names</span>(pcoa.df) <span class="sc">==</span> <span class="st">"Axis.2"</span>)] <span class="ot"><-</span> <span class="st">"PC2"</span></span>
<span id="cb5-12"><a href="#cb5-12" tabindex="-1"></a>pcoa.df<span class="sc">$</span>sample_id <span class="ot"><-</span> <span class="fu">row.names</span>(pcoa.df)</span>
<span id="cb5-13"><a href="#cb5-13" tabindex="-1"></a>pcoa.df <span class="ot"><-</span> <span class="fu">merge</span>(pcoa.df, meta_data, <span class="at">by=</span><span class="st">"sample_id"</span>)</span>
<span id="cb5-14"><a href="#cb5-14" tabindex="-1"></a>dm.pcoa.df <span class="ot"><-</span> pcoa.df</span></code></pre></div>
</div>
<div id="visualing-the-diversity-data" class="section level2">
<h2>Visualing the diversity data</h2>
<p>For <em>Alpha Diversity</em> we will using boxplots to visualise the
diversity for certain groups. Look at the metadata and think about which
factors may be interesting to group the data by to understand
trends.</p>
<p>For <em>Beta Diversity</em> we have digested the data again into a
Principle Coordinate Analysis, this takes the data from being
multi-dimensional to being two-dimensional so we can visualise the
distance between each sample in terms of the dissimilarity of microbial
partners present between two samples.</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a><span class="fu">ggplot</span>(dm.pcoa.df, <span class="fu">aes</span>(<span class="at">x =</span> PC2, <span class="at">y =</span> PC1, <span class="at">colour =</span> feeding_guild)) <span class="sc">+</span></span>
<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="at">size =</span> <span class="dv">4</span>) <span class="sc">+</span></span>
<span id="cb6-3"><a href="#cb6-3" tabindex="-1"></a> <span class="fu">geom_polygon</span>(<span class="at">stat =</span> <span class="st">"ellipse"</span>, <span class="fu">aes</span>(<span class="at">fill =</span> feeding_guild), <span class="at">alpha =</span> <span class="fl">0.05</span>) <span class="sc">+</span></span>
<span id="cb6-4"><a href="#cb6-4" tabindex="-1"></a> <span class="fu">theme_classic</span>()</span></code></pre></div>
<p><img 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" 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