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</h1>
</div>
<p>REDCap database casting and handling of castellated data when using repeated instruments and longitudinal projects.</p>
<p>This package is a fork of <a href="https://github.com/pegeler/REDCapRITS" class="external-link">pegeler/REDCapRITS</a>. The REDCapRITS represents great and extensive work to handle castellated REDCap data in different programming languages. This fork is purely minded on R usage and includes a few implementations of the main <code>REDCap_split</code> function.</p>
<p>I started working on this project as the castellated longitudinal data set was a little challenging. Later, I have come to learn of the <a href="https://github.com/vubiostat/redcapAPI" class="external-link"><code>redcapAPI</code></a> package, which would also cover this functionality. I find the <code>redcapAPI</code>package quite advanced and a little difficult to work with. This have led to the continued work on this package, as an easy-to-use approach for data migration, data base creation and data handling. This package is very much to be seen as an attempt at a R-to-REDCap-to-R foundry for handling both the transition from dataset/variable list to database and the other way, from REDCap database to a tidy dataset. The goal was also to allow for a “minimal data” approach by allowing to filter records, instruments and variables in the export to only download data needed. I think this approach is desirable for handling sensitive, clinical data. Please refer to <a href="https://redcap-tools.github.io/" class="external-link">REDCap-Tools</a> for other great tools for working with REDCap in R.</p>
<p>For any more advanced uses, consider using the <code>redcapAPI</code> package.</p>
<p>This package is a fork of <a href="https://github.com/pegeler/REDCapRITS" class="external-link">pegeler/REDCapRITS</a>. The <code>REDCapRITS</code> represents great and extensive work to handle castellated REDCap data in different programming languages. This fork is purely minded on R usage and includes a few implementations of the main <code>REDCap_split</code> function. The <code>REDCapRITS</code> as well as <code>REDCapCAST</code> would not be possible without the outstanding work in <a href="https://ouhscbbmc.github.io/REDCapR/" class="external-link"><code>REDCapR</code></a>.</p>
<div class="section level2">
<h2 id="use-and-immprovements">Use and immprovements<a class="anchor" aria-label="anchor" href="#use-and-immprovements"></a>
<h2 id="what-problem-does-redcapcast-solve">What problem does <code>REDCapCAST</code> solve?<a class="anchor" aria-label="anchor" href="#what-problem-does-redcapcast-solve"></a>
</h2>
<p>I started working on this project as the castellated longitudinal data set was a little challenging. Later, I have come to learn of the <a href="https://github.com/vubiostat/redcapAPI" class="external-link"><code>redcapAPI</code></a> package, which would also cover this functionality. I find the <code>redcapAPI</code>package quite advanced and a little difficult to work with. This have led to the continued work on this package, as an easy-to-use approach for data migration, data base creation and data handling. This package is very much to be seen as an attempt at a R-to-REDCap-to-R foundry for handling both the transition from dataset/variable list to database and the other way, from REDCap database to a tidy dataset. The goal was also to allow for a “minimal data” approach by allowing to filter records, instruments and variables in the export to only download data needed. I think this approach is desirable for handling sensitive, clinical data. Please refer to <a href="https://redcap-tools.github.io/" class="external-link">REDCap-Tools</a> for other great tools for working with REDCap in R.</p>
<p>For any more advanced uses, consider using the <a href="https://github.com/vubiostat/redcapAPI" class="external-link"><code>redcapAPI</code></a> or <a href="https://ouhscbbmc.github.io/REDCapR/" class="external-link"><code>REDCapR</code></a> packages.</p>
</div>
<div class="section level2">
<h2 id="main-functionality">Main functionality<a class="anchor" aria-label="anchor" href="#main-functionality"></a>
</h2>
<p>Here is just a short description of the main functions:</p>
<ul>