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<h1 class="title toc-ignore">Lessons learned</h1>
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<p>As my second Shiny exercise, I built a <a
href="http://ilagos.shinyapps.io/diagnoses_shiny">browser</a> for more
than 73,000 medical diagnoses cataloged according to the International
Classification of Diseases, Tenth Revision, Clinical Modification
(ICD-10-CM). The browser is pretty simple, but I learned valuable new
tricks.</p>
<div id="matching-all-search-terms" class="section level2">
<h2>Matching all search terms</h2>
<p>I wanted to do a search that matched all terms. I first tried using
<code>grepl()</code> to match each of the search terms using the
following the regular expression pattern
<code>(?=.*search_term)</code>.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>V1 <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">"dental fracture"</span>,</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a> <span class="st">"acute stress reaction"</span>,</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a> <span class="st">"stress fracture, right shoulder"</span>)</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>search_terms <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">"fracture"</span>,<span class="st">"stress"</span>)</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>pattern <span class="ot"><-</span> <span class="fu">paste0</span>(<span class="st">"(?=.*"</span>, search_terms,<span class="st">")"</span>, <span class="at">collapse=</span><span class="st">""</span>) </span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="fu">grepl</span>(pattern, V1, <span class="at">perl =</span> <span class="cn">TRUE</span>)</span></code></pre></div>
<pre><code>## [1] FALSE FALSE TRUE</code></pre>
<p>This worked, but no matter the function I used, <code>regex()</code>,
<code>str_detect()</code>, <code>stri_detect()</code>, the matching
process was <strong>extraordinarily slow</strong>. I turned to <a
href="https://stackoverflow.com/questions/72334928/r-fast-way-to-find-all-vector-elements-that-contain-all-search-terms">StackOverflow</a>
for help and <a
href="https://stackoverflow.com/users/8380272/onyambu"><span
class="citation">@onyamby</span></a> provided an amazingly fast single
line of code.</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">Reduce</span>(<span class="st">"&"</span>, <span class="fu">lapply</span>(search_terms, grepl, V1, <span class="at">fixed =</span> <span class="cn">TRUE</span>))</span></code></pre></div>
<pre><code>## [1] FALSE FALSE TRUE</code></pre>
<p>It is surprisingly easy when you think about it, instead of looping
through each string and matching all search terms with a regular
expression, loop through each search term separately and then get the
overlapping <code>TRUE</code> results. I love this solution!</p>
</div>
<div id="dts-lack-of-full-table-info" class="section level2">
<h2>DT’s lack of full table info</h2>
<p>The next challenge was trying to update a dependent table upon a
click on a row using the <a href="https://rstudio.github.io/DT/">DT
package</a>. DT doesn’t make available full table information as
<code>inputs</code> ready to be used by Shiny. For instance, if a user
clicks on cell (2,3), you can’t know through DT the value for another
cell in the same row, say cell (2,4). To solve this problem I store a
vector of IDs of the “active” table. I think this is a waste of
resources, but I made the best of it, instead of storing the whole
“active” data frame, I store only an “index” vector.</p>
</div>
<hr />
<p>2022 Ingrid Lagos</p>
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