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<h1 class="title toc-ignore">pharmaRTF</h1>
<h4 class="author">Mike Stackhouse</h4>
<h4 class="date">2020-06-17</h4>
<div id="version-0.1.1-updates" class="section level2">
<h2>Version 0.1.1 updates</h2>
<ul>
<li>The <code>header_rows</code> parameter no allows you to prevent column headers from moving to the RTF document header by setting <code>header_rows</code> to 0.</li>
<li>Huxtable v5.0.0 had some backwards compatibility breaking changes. All updates within pharmaRTF are compatible back to Huxtable v4.7.1. See a full list of changes <a href="https://hughjonesd.github.io/whats-new-in-huxtable-5.0.0.html">here</a>. The changes that impacted pharmaRTF were:
<ul>
<li>The way indexing was handled has changed. You can no longer index columns like <code>ht[1:5]</code>. The new syntax is <code>ht[1:5, ]</code>.</li>
<li>Additionally, the <code>add_columns</code> argument now changed from a default of <code>TRUE</code> instead of <code>FALSE</code>.</li>
</ul></li>
</ul>
</div>
<div id="what-is-pharmartf" class="section level2">
<h2>What is pharmaRTF?</h2>
<p>If you’ve worked in the pharmaceutical industry as a SAS© programmer doing data analysis for clinical trials, there’s a fair chance that you’ve spent a good amount of time creating RTF outputs. While there are more modern document file formats supported by SAS© and other data analysis languages, RTF remains prolific. Though antiquated, RTF files still remain useful. They support the rich-text format necessary to create documents containing different fonts, colors, and text attributes. Furthermore, RTF documents make it easy for medical writers to insert outputs into different reports and publications as needed. Regardless, outputting data displays to RTF documents is a process embedded in many companies still to this day.</p>
<p>There are many different table packages available in R. For example, <a href="https://cran.r-project.org/package=stargazer">stargazer</a> allows you to easily summarize data and create statistical tables in different output formats, such as LaTeX, HTML, ASCII. <a href="https://haozhu233.github.io/kableExtra/awesome_table_in_html.html">kableExtra</a> lets you build common complex tables and manipulate table styles in HTML outputs. RStudio has been developing <a href="https://github.com/rstudio/gt">gt</a> which aims to make table creation simple by breaking it into a cohesive set of parts. While there are many more options, few of these support RTF output.</p>
<p><em>Note: gt plans to support RTF in the future, but this functionality is not yet mature.</em></p>
<p>One library, <a href="https://hughjonesd.github.io/huxtable/">huxtable</a>, does support RTF extensively - with a wide array of styling and formatting options. But there are a few important components missing:</p>
<ul>
<li>There are no means to set document properties on an output RTF document, such as page size or orientation</li>
<li>Column headers cannot repeat from page to page</li>
<li>While captions can be set, there are no means of creating multi-level titles and multiple footnotes, and captions cannot be inserted into the document header or footer</li>
</ul>
<p>It’s understandable that these gaps exist. R has strong usage in academia, and often these tables are created to be printed in text within a paper, for instance rendered using RMarkdown. The tables we create for a clinical trial are typically positioned within their own section of a CSR independently.</p>
<p>pharmaRTF was developed to plug this gap without reinventing the wheel. Huxtable offers a powerful table package that can do virtually any styling necessary for the tables we need to create. pharmaRTF consumes a huxtable table and fills in the missing pieces by offering:</p>
<ul>
<li>Document property options</li>
<li>Proper multi-page display</li>
<li>Titles and footnotes stored within the document headers and footers</li>
</ul>
<p><em>Note: we also plan to support GT tables when the RTF support matures</em></p>
</div>
<div id="a-small-note" class="section level2">
<h2>A Small Note</h2>
<p>Some of the syntax we use throughout this document uses the <code>%>%</code> pipe operator. This is to display support for a tidyverse style of coding. You can find the <code>%>%</code> operator in the <a href="https://cran.r-project.org/package=magrittr/vignettes/magrittr.html">magittr</a> package.</p>
</div>
<div id="the-basics" class="section level2">
<h2>The Basics</h2>
<p>Before you start worrying about creating an RTF document, you first need to create and style your table. For that, use huxtable:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">dat <-<span class="st"> </span>iris <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="st"> </span><span class="kw">select</span>(Species, <span class="kw">everything</span>())</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"></a>
<a class="sourceLine" id="cb1-4" data-line-number="4">ht <-<span class="st"> </span>huxtable<span class="op">::</span><span class="kw">as_hux</span>(dat, <span class="dt">add_colnames=</span><span class="ot">TRUE</span>) <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb1-5" data-line-number="5"><span class="st"> </span>huxtable<span class="op">::</span><span class="kw">set_bold</span>(<span class="dv">1</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(dat), <span class="ot">TRUE</span>) <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb1-6" data-line-number="6"><span class="st"> </span>huxtable<span class="op">::</span><span class="kw">set_bottom_border</span>(<span class="dv">1</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(dat), <span class="dv">1</span>) <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb1-7" data-line-number="7"><span class="st"> </span>huxtable<span class="op">::</span><span class="kw">set_width</span>(<span class="fl">1.5</span>)</a>
<a class="sourceLine" id="cb1-8" data-line-number="8">ht[<span class="dv">1</span><span class="op">:</span><span class="dv">10</span>,]</a></code></pre></div>
<table class="huxtable" style="border-collapse: collapse; border: 0px; margin-bottom: 2em; margin-top: 2em; width: 150%; margin-left: auto; margin-right: auto; " id="tab:huxtable_code">
<col><col><col><col><col><tr>
<th style="vertical-align: top; text-align: left; white-space: normal; border-style: solid solid solid solid; border-width: 0pt 0pt 1pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: bold;">Species</th><th style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 0pt 0pt 1pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: bold;">Sepal.Length</th><th style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 0pt 0pt 1pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: bold;">Sepal.Width</th><th style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 0pt 0pt 1pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: bold;">Petal.Length</th><th style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 0pt 0pt 1pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: bold;">Petal.Width</th></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; border-style: solid solid solid solid; border-width: 1pt 0pt 0pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 1pt 0pt 0pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">5.1</td><td style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 1pt 0pt 0pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.5</td><td style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 1pt 0pt 0pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.4</td><td style="vertical-align: top; text-align: right; white-space: normal; border-style: solid solid solid solid; border-width: 1pt 0pt 0pt 0pt; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">4.9</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3 </td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">4.7</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.2</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.3</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">4.6</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.1</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.5</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">5 </td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.6</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">5.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.9</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.7</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.4</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">4.6</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.3</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">5 </td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">3.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.5</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
<tr>
<td style="vertical-align: top; text-align: left; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">setosa</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">4.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">2.9</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">1.4</td><td style="vertical-align: top; text-align: right; white-space: normal; padding: 6pt 6pt 6pt 6pt; font-weight: normal;">0.2</td></tr>
</table>
<p>Now you can create your RTF document. pharmaRTF consists of two different objects:</p>
<ul>
<li><code>rtf_doc</code>: the encapsulating object</li>
<li><code>hf_line</code>: the object used to create titles and footnotes</li>
</ul>
<p><code>rtf_doc</code> contains document wide attributes, including:</p>
<ul>
<li>The default document font and font size</li>
<li>Document margins</li>
<li>Orientation</li>
<li>Header and footer height</li>
<li>Page size</li>
<li>Header rows</li>
<li>Some additional settings for more customization</li>
</ul>
<p><code>hf_line</code> is used to create titles and footnotes, and contains attributes for each line, including:</p>
<ul>
<li>Alignment</li>
<li>Bold and Italic</li>
<li>Font (for the individual line)</li>
<li>Font size (for the individual line)</li>
<li>Index</li>
</ul>
<p>There are multiple methods for piecing together an <code>rtf_doc</code> object. Within this vignette, we will cover the basics. Let’s assume that you want to keep the default document attributes, and you’d like to create a single, bold title of “The Iris Dataset”. You could use the following:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1">doc <-<span class="st"> </span><span class="kw">rtf_doc</span>(ht, <span class="dt">titles=</span><span class="kw">list</span>(<span class="kw">hf_line</span>(<span class="st">"The Iris Dataset"</span>, <span class="dt">bold=</span><span class="ot">TRUE</span>)))</a>
<a class="sourceLine" id="cb2-2" data-line-number="2"></a>
<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="kw">write_rtf</span>(doc, <span class="dt">file=</span><span class="st">"table1.rtf"</span>)</a></code></pre></div>
<p>The resulting file looks like: <img src="data:image/png;base64,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" width="800px" /></p>
<p>The document opens and presents properly as an RTF document within Microsoft Word. Furthermore, the document paging works properly, with titles and column headers repeating pages to page. Note that <strong>the column headers repeat from page to page</strong> - this is because pharmaRTF pulls the column headers out of the huxtable table and into the document header</p>
<p><em>(Note: You can prevent this by setting the <code>header_rows = 0</code> in <code>rtf_doc</code> or by using the property function <code>set_header_rows</code>).</em></p>
<p><img 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" width="800px" /></p>
<p>In the above example, note that we didn’t edit any document settings. By default, pharmaRTF will output RTF files with:</p>
<ul>
<li>A default font of Courier New</li>
<li>A default font size of 12</li>
<li>A default page size of Letter with 11" width and 8.5" height</li>
<li>Landscape orientation</li>
<li>1" margins on all sides</li>
<li>.5" header and footer heights</li>
</ul>
<p>All of these attributes can be changed using property functions. For example:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1">doc <-<span class="st"> </span><span class="kw">rtf_doc</span>(ht, <span class="dt">titles=</span><span class="kw">list</span>(<span class="kw">hf_line</span>(<span class="st">"The Iris Dataset"</span>, <span class="dt">bold=</span><span class="ot">TRUE</span>))) <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="st"> </span><span class="kw">set_pagesize</span>(<span class="kw">c</span>(<span class="dt">height=</span><span class="dv">5</span>, <span class="dt">width=</span><span class="dv">5</span>)) <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="st"> </span><span class="kw">set_font</span>(<span class="st">'Times New Roman'</span>) <span class="op">%>%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="st"> </span><span class="kw">set_margins</span>(<span class="kw">c</span>(<span class="dt">top=</span><span class="dv">2</span>, <span class="dt">bottom=</span><span class="dv">2</span>, <span class="dt">left=</span><span class="dv">2</span>, <span class="dt">right=</span><span class="dv">2</span>)) <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="kw">set_font_size</span>(<span class="dv">7</span>)</a>
<a class="sourceLine" id="cb3-6" data-line-number="6"></a>
<a class="sourceLine" id="cb3-7" data-line-number="7"><span class="kw">write_rtf</span>(doc, <span class="dt">file=</span><span class="st">"table2.rtf"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" width="800px" /></p>
<p>While this display is impractical, it’s possible! And customization to all these attributes may be necessary depending on individual circumstances.</p>
<p>pharmaRTF also offers different interface options depending on your preference. For example, if you don’t like piping using <code>%>%</code>, other versions of property functions are available. Additionally, titles and footnotes can be attached using the <code>add_titles</code> and <code>add_footnotes</code> functions.</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1">doc <-<span class="st"> </span><span class="kw">rtf_doc</span>(ht)</a>
<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="kw">font</span>(doc) <-<span class="st"> 'Times New Roman'</span></a>
<a class="sourceLine" id="cb4-3" data-line-number="3"><span class="kw">font_size</span>(doc) <-<span class="st"> </span><span class="dv">10</span></a>
<a class="sourceLine" id="cb4-4" data-line-number="4">doc <-<span class="st"> </span><span class="kw">add_titles</span>(doc, <span class="kw">hf_line</span>(<span class="st">"The Iris Dataset"</span>, <span class="dt">bold=</span><span class="ot">TRUE</span>))</a>
<a class="sourceLine" id="cb4-5" data-line-number="5">doc <-<span class="st"> </span><span class="kw">add_footnotes</span>(doc, <span class="kw">hf_line</span>(<span class="st">"Note: This is a footnote!"</span>, <span class="dt">italic=</span><span class="ot">TRUE</span>, <span class="dt">align=</span><span class="st">'left'</span>))</a>
<a class="sourceLine" id="cb4-6" data-line-number="6"></a>
<a class="sourceLine" id="cb4-7" data-line-number="7"><span class="kw">write_rtf</span>(doc, <span class="dt">file=</span><span class="st">"table3.rtf"</span>)</a></code></pre></div>
<p><img 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" width="800px" /></p>
</div>
<div id="further-reading" class="section level2">
<h2>Further Reading</h2>
<p>This completes a basic introduction to using pharmaRTF, but there’s still more to learn!</p>
<ul>
<li>To learn tips and tricks for using huxtable with pharmaRTF, see <a href="https://atorus-research.github.io/huxtable_tips.html">this vignette</a></li>
<li>To learn more advanced usage of pharmaRTF, see <a href="https://atorus-research.github.io/advanced_usage.html">this vignette</a></li>
<li>To see how to read titles and footnotes from external files, see <a href="https://atorus-research.github.io/tf_from_file.html">this vignette</a></li>
</ul>
</div>
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