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Updates to GIS chapter and Quarto
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2 changes: 1 addition & 1 deletion _quarto.yml
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6 changes: 3 additions & 3 deletions html_outputs/index.html
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<a href="./">The Epidemiologist R Handbook</a>
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<div>
<div class="quarto-title-meta-heading">Last updated</div>
<div class="quarto-title-meta-contents">
<p class="date">Oct 1, 2024</p>
<p class="date">Oct 2, 2024</p>
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<a href="../">The Epidemiologist R Handbook</a>
<div class="sidebar-tools-main tools-wide">
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<a href="../">The Epidemiologist R Handbook</a>
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60 changes: 31 additions & 29 deletions html_outputs/new_pages/packages_suggested.html
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<a href="../">The Epidemiologist R Handbook</a>
<div class="sidebar-tools-main tools-wide">
<a href="https://twitter.com/appliedepi" title="" class="quarto-navigation-tool px-1" aria-label=""><i class="bi bi-twitter"></i></a>
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Expand Down Expand Up @@ -857,34 +857,36 @@ <h2 data-number="5.1" class="anchored" data-anchor-id="packages-from-cran"><span
<span id="cb1-91"><a href="#cb1-91" aria-hidden="true" tabindex="-1"></a> sf, <span class="co"># to manage spatial data using a Simple Feature format</span></span>
<span id="cb1-92"><a href="#cb1-92" aria-hidden="true" tabindex="-1"></a> tmap, <span class="co"># to produce simple maps, works for both interactive and static maps</span></span>
<span id="cb1-93"><a href="#cb1-93" aria-hidden="true" tabindex="-1"></a> OpenStreetMap, <span class="co"># to add OSM basemap in ggplot map</span></span>
<span id="cb1-94"><a href="#cb1-94" aria-hidden="true" tabindex="-1"></a> spdep, <span class="co"># spatial statistics </span></span>
<span id="cb1-95"><a href="#cb1-95" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-96"><a href="#cb1-96" aria-hidden="true" tabindex="-1"></a> <span class="co"># routine reports</span></span>
<span id="cb1-97"><a href="#cb1-97" aria-hidden="true" tabindex="-1"></a> <span class="do">#################</span></span>
<span id="cb1-98"><a href="#cb1-98" aria-hidden="true" tabindex="-1"></a> rmarkdown, <span class="co"># produce PDFs, Word Documents, Powerpoints, and HTML files</span></span>
<span id="cb1-99"><a href="#cb1-99" aria-hidden="true" tabindex="-1"></a> reportfactory, <span class="co"># auto-organization of R Markdown outputs</span></span>
<span id="cb1-100"><a href="#cb1-100" aria-hidden="true" tabindex="-1"></a> officer, <span class="co"># powerpoints</span></span>
<span id="cb1-101"><a href="#cb1-101" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-102"><a href="#cb1-102" aria-hidden="true" tabindex="-1"></a> <span class="co"># dashboards</span></span>
<span id="cb1-103"><a href="#cb1-103" aria-hidden="true" tabindex="-1"></a> <span class="do">############</span></span>
<span id="cb1-104"><a href="#cb1-104" aria-hidden="true" tabindex="-1"></a> flexdashboard, <span class="co"># convert an R Markdown script into a dashboard</span></span>
<span id="cb1-105"><a href="#cb1-105" aria-hidden="true" tabindex="-1"></a> shiny, <span class="co"># interactive web apps</span></span>
<span id="cb1-106"><a href="#cb1-106" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-107"><a href="#cb1-107" aria-hidden="true" tabindex="-1"></a> <span class="co"># tables for presentation</span></span>
<span id="cb1-108"><a href="#cb1-108" aria-hidden="true" tabindex="-1"></a> <span class="do">#########################</span></span>
<span id="cb1-109"><a href="#cb1-109" aria-hidden="true" tabindex="-1"></a> knitr, <span class="co"># R Markdown report generation and html tables</span></span>
<span id="cb1-110"><a href="#cb1-110" aria-hidden="true" tabindex="-1"></a> flextable, <span class="co"># HTML tables</span></span>
<span id="cb1-111"><a href="#cb1-111" aria-hidden="true" tabindex="-1"></a> <span class="co">#DT, # HTML tables (alternative)</span></span>
<span id="cb1-112"><a href="#cb1-112" aria-hidden="true" tabindex="-1"></a> <span class="co">#gt, # HTML tables (alternative)</span></span>
<span id="cb1-113"><a href="#cb1-113" aria-hidden="true" tabindex="-1"></a> <span class="co">#huxtable, # HTML tables (alternative) </span></span>
<span id="cb1-114"><a href="#cb1-114" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-115"><a href="#cb1-115" aria-hidden="true" tabindex="-1"></a> <span class="co"># phylogenetics</span></span>
<span id="cb1-116"><a href="#cb1-116" aria-hidden="true" tabindex="-1"></a> <span class="do">###############</span></span>
<span id="cb1-117"><a href="#cb1-117" aria-hidden="true" tabindex="-1"></a> ggtree, <span class="co"># visualization and annotation of trees</span></span>
<span id="cb1-118"><a href="#cb1-118" aria-hidden="true" tabindex="-1"></a> ape, <span class="co"># analysis of phylogenetics and evolution</span></span>
<span id="cb1-119"><a href="#cb1-119" aria-hidden="true" tabindex="-1"></a> treeio <span class="co"># to visualize phylogenetic files</span></span>
<span id="cb1-120"><a href="#cb1-120" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-121"><a href="#cb1-121" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<span id="cb1-94"><a href="#cb1-94" aria-hidden="true" tabindex="-1"></a> tidyterra, <span class="co"># to plot basemaps</span></span>
<span id="cb1-95"><a href="#cb1-95" aria-hidden="true" tabindex="-1"></a> maptiles, <span class="co"># for creating basemaps</span></span>
<span id="cb1-96"><a href="#cb1-96" aria-hidden="true" tabindex="-1"></a> spdep, <span class="co"># spatial statistics </span></span>
<span id="cb1-97"><a href="#cb1-97" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-98"><a href="#cb1-98" aria-hidden="true" tabindex="-1"></a> <span class="co"># routine reports</span></span>
<span id="cb1-99"><a href="#cb1-99" aria-hidden="true" tabindex="-1"></a> <span class="do">#################</span></span>
<span id="cb1-100"><a href="#cb1-100" aria-hidden="true" tabindex="-1"></a> rmarkdown, <span class="co"># produce PDFs, Word Documents, Powerpoints, and HTML files</span></span>
<span id="cb1-101"><a href="#cb1-101" aria-hidden="true" tabindex="-1"></a> reportfactory, <span class="co"># auto-organization of R Markdown outputs</span></span>
<span id="cb1-102"><a href="#cb1-102" aria-hidden="true" tabindex="-1"></a> officer, <span class="co"># powerpoints</span></span>
<span id="cb1-103"><a href="#cb1-103" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-104"><a href="#cb1-104" aria-hidden="true" tabindex="-1"></a> <span class="co"># dashboards</span></span>
<span id="cb1-105"><a href="#cb1-105" aria-hidden="true" tabindex="-1"></a> <span class="do">############</span></span>
<span id="cb1-106"><a href="#cb1-106" aria-hidden="true" tabindex="-1"></a> flexdashboard, <span class="co"># convert an R Markdown script into a dashboard</span></span>
<span id="cb1-107"><a href="#cb1-107" aria-hidden="true" tabindex="-1"></a> shiny, <span class="co"># interactive web apps</span></span>
<span id="cb1-108"><a href="#cb1-108" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-109"><a href="#cb1-109" aria-hidden="true" tabindex="-1"></a> <span class="co"># tables for presentation</span></span>
<span id="cb1-110"><a href="#cb1-110" aria-hidden="true" tabindex="-1"></a> <span class="do">#########################</span></span>
<span id="cb1-111"><a href="#cb1-111" aria-hidden="true" tabindex="-1"></a> knitr, <span class="co"># R Markdown report generation and html tables</span></span>
<span id="cb1-112"><a href="#cb1-112" aria-hidden="true" tabindex="-1"></a> flextable, <span class="co"># HTML tables</span></span>
<span id="cb1-113"><a href="#cb1-113" aria-hidden="true" tabindex="-1"></a> <span class="co">#DT, # HTML tables (alternative)</span></span>
<span id="cb1-114"><a href="#cb1-114" aria-hidden="true" tabindex="-1"></a> <span class="co">#gt, # HTML tables (alternative)</span></span>
<span id="cb1-115"><a href="#cb1-115" aria-hidden="true" tabindex="-1"></a> <span class="co">#huxtable, # HTML tables (alternative) </span></span>
<span id="cb1-116"><a href="#cb1-116" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-117"><a href="#cb1-117" aria-hidden="true" tabindex="-1"></a> <span class="co"># phylogenetics</span></span>
<span id="cb1-118"><a href="#cb1-118" aria-hidden="true" tabindex="-1"></a> <span class="do">###############</span></span>
<span id="cb1-119"><a href="#cb1-119" aria-hidden="true" tabindex="-1"></a> ggtree, <span class="co"># visualization and annotation of trees</span></span>
<span id="cb1-120"><a href="#cb1-120" aria-hidden="true" tabindex="-1"></a> ape, <span class="co"># analysis of phylogenetics and evolution</span></span>
<span id="cb1-121"><a href="#cb1-121" aria-hidden="true" tabindex="-1"></a> treeio <span class="co"># to visualize phylogenetic files</span></span>
<span id="cb1-122"><a href="#cb1-122" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb1-123"><a href="#cb1-123" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="packages-from-github" class="level2" data-number="5.2">
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<a href="../">The Epidemiologist R Handbook</a>
<div class="sidebar-tools-main tools-wide">
<a href="https://twitter.com/appliedepi" title="" class="quarto-navigation-tool px-1" aria-label=""><i class="bi bi-twitter"></i></a>
<a href="https://www.linkedin.com/company/appliedepi/" title="" class="quarto-navigation-tool px-1" aria-label=""><i class="bi bi-linkedin"></i></a>
<a href="https://www.linkedin.com/company/appliedepi" title="" class="quarto-navigation-tool px-1" aria-label=""><i class="bi bi-linkedin"></i></a>
<a href="https://github.com/appliedepi/epihandbook_eng" title="Source Code" class="quarto-navigation-tool px-1" aria-label="Source Code"><i class="bi bi-github"></i></a>
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<h2 id="toc-title">Table of contents</h2>

<ul>
<li><a href="#why-quarto-over-r-markdown" id="toc-why-quarto-over-r-markdown" class="nav-link active" data-scroll-target="#why-quarto-over-r-markdown"><span class="header-section-number">44.1</span> Why Quarto over R Markdown?</a></li>
<li><a href="#why-quarto-over-r-markdown" id="toc-why-quarto-over-r-markdown" class="nav-link active" data-scroll-target="#why-quarto-over-r-markdown"><span class="header-section-number">44.1</span> Why Quarto over R Markdown?</a>
<ul class="collapse">
<li><a href="#limitations-of-quarto" id="toc-limitations-of-quarto" class="nav-link" data-scroll-target="#limitations-of-quarto">Limitations of Quarto</a></li>
</ul></li>
<li><a href="#getting-started" id="toc-getting-started" class="nav-link" data-scroll-target="#getting-started"><span class="header-section-number">44.2</span> Getting started</a></li>
<li><a href="#moving-beyond-simple-reports" id="toc-moving-beyond-simple-reports" class="nav-link" data-scroll-target="#moving-beyond-simple-reports"><span class="header-section-number">44.3</span> Moving beyond simple reports</a></li>
<li><a href="#resources" id="toc-resources" class="nav-link" data-scroll-target="#resources"><span class="header-section-number">44.4</span> Resources</a></li>
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</div>
</div>
<p><a href="https://quarto.org/docs/faq/rmarkdown.html">Source</a></p>
<section id="limitations-of-quarto" class="level3 unnumbered">
<h3 class="unnumbered anchored" data-anchor-id="limitations-of-quarto">Limitations of Quarto</h3>
<p>There is one substantial limitation of Quarto, compared to R Markdown, when it is used to generate multiple different reports using the same dataset.</p>
<p>In R Markdown, you can load in a dataset, run your analyses, and then generate multiple different reports from this dataset in your R environment. This means that you <em>do not need to individually import the dataset for each report</em>.</p>
<p>However, because of the way that Quarto works, every single report needs to be self contained. That is to say that you would need to import the dataset <em>every time you want a new report</em>.</p>
<p>This is not a problem if you are only running a single report, or a handful. But if you have a large dataset, and need to make a large number of reports, this can quickly become a real problem.</p>
<p>Imagine a scenario where you are conducting a national outbreak response. You have a dataset which takes 5 minutes to import, and then you need to generate a report for each of the 50 provinces in the country.</p>
<ul>
<li><p>For R Markdown, you would only need to read in the data once, and then run your reports. This would take a minimum of 5 minutes (5 minutes to read in the data + time to run the script for the reports).</p></li>
<li><p>For Quarto, you would need to read in the dataset each time. This would mean you would need at least 250 minutes (5 minutes for each of the 50 provinces).</p></li>
</ul>
<p>This quickly increasing time burden means that if you are generating multiple reports based on a large dataset, you may want to use R Markdown over Quarto!</p>
<p>For further explanation, please see these forum posts:</p>
<p><a href="https://forum.posit.co/t/quarto-cant-find-r-objects/156848">Quarto can’t find R-objects</a></p>
<p><a href="https://github.com/quarto-dev/quarto-cli/discussions/1773">How to quarto_render into console environment</a></p>
</section>
</section>
<section id="getting-started" class="level2" data-number="44.2">
<h2 data-number="44.2" class="anchored" data-anchor-id="getting-started"><span class="header-section-number">44.2</span> Getting started</h2>
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