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README.html
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<!DOCTYPE html>
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<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<h1 id="ctu-berns-r-package-universe-">CTU Berns R Package universe
<a href="https://ctu-bern.r-universe.dev/"><img 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" align="right" height="200"></a></h1>
<p>R package universes are similar a bit like mini-CRANs. ‘The system
automatically tracks registered git repositories containing R packages,
builds binaries for Windows and MacOS, renders vignettes, and makes all
data available through dashboards, feeds and APIs on personal
subdomains’.</p>
<p>CTU Berns universe is <a href="https://ctu-bern.r-universe.dev">here</a>.</p>
<h2 id="packages-in-the-universe">Packages in the universe</h2>
<table>
<thead>
<tr class="header">
<th align="left">package</th>
<th align="left">description</th>
<th align="left">status</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left"><a href="https://github.com/CTU-Bern/accrualPlot"><code>accrualPlot</code></a></td>
<td align="left">Tracking accrual in clinical trials is important for
trial success. If accrual is too slow, the trial will take too long and
be too expensive. If accrual is much faster than expected, time
sensitive tasks such as the writing of statistical analysis plans might
need to be rushed. ‘accrualPlot’ provides functions to aid the tracking
of accrual and predict when a trial will reach it’s intended sample
size.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="even">
<td align="left"><a href="https://github.com/CTU-Bern/btabler"><code>btabler</code></a></td>
<td align="left">There are a number of packages for creating LaTeX
tables from R, but they lack feature like merging cells.
<code>btabler</code> provides a function to do just that.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="odd">
<td align="left"><a href="https://github.com/CTU-Bern/CTUtemplate"><code>CTUtemplate</code></a></td>
<td align="left">Templates and functions for use in CTU Bern.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="even">
<td align="left"><a href="https://github.com/CTU-Bern/kpitools"><code>kpitools</code></a></td>
<td align="left">Assessing performance of clinical trials can assist
identify problems earlier in the trial than might be possible without it
and help to improve trial quality. Tools for the creating performance
indicator reports are however uncommon. ‘kpitools’ aims to provide tools
to create such reports.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="odd">
<td align="left"><a href="https://github.com/CTU-Bern/presize"><code>presize</code></a></td>
<td align="left">Bland (2009) <a href="doi:10.1136/bmj.b3985">doi:10.1136/bmj.b3985</a> recommended to
base study sizes on the width of the confidence interval rather the
power of a statistical test. The goal of ‘presize’ is to provide
functions for such precision based sample size calculations. For a given
sample size, the functions will return the precision (width of the
confidence interval), and vice versa.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="even">
<td align="left"><a href="https://github.com/CTU-Bern/redcaptools"><code>redcaptools</code></a></td>
<td align="left">Tools for exporting and working with REDCap data
(e.g. adding labels, formatting dates).</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="odd">
<td align="left"><a href="https://github.com/SwissClinicalTrialOrganisation/SCTORvalidation_Rpackage"><code>SCTORvalidation</code></a></td>
<td align="left">The validation platform consists of three GitHub
repositories, one of which hosts this package. The others host tests for
specific packages, and a location to reports the results of tests and
validations. This package provides tools to work with that data.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,PHN2ZyB3aWR0aD0iMTA1LjgiIGhlaWdodD0iMjAiIHZpZXdCb3g9IjAgMCAxMDU4IDIwMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiByb2xlPSJpbWciIGFyaWEtbGFiZWw9InItdW5pdmVyc2U6IDAuNC4yIj4KICA8YSBocmVmPSJodHRwczovL2N0dS1iZXJuLnItdW5pdmVyc2UuZGV2L1NDVE9SdmFsaWRhdGlvbiIgYWx0PSJyLXVuaXZlcnNlIj4KICA8dGl0bGU+ci11bml2ZXJzZTogMC40LjI8L3RpdGxlPgogIDxsaW5lYXJHcmFkaWVudCBpZD0iaENjWEUiIHgyPSIwIiB5Mj0iMTAwJSI+CiAgICA8c3RvcCBvZmZzZXQ9IjAiIHN0b3Atb3BhY2l0eT0iLjEiIHN0b3AtY29sb3I9IiNFRUUiLz4KICAgIDxzdG9wIG9mZnNldD0iMSIgc3RvcC1vcGFjaXR5PSIuMSIvPgogIDwvbGluZWFyR3JhZGllbnQ+CiAgPG1hc2sgaWQ9IkVlSkFvIj48cmVjdCB3aWR0aD0iMTA1OCIgaGVpZ2h0PSIyMDAiIHJ4PSIzMCIgZmlsbD0iI0ZGRiIvPjwvbWFzaz4KICA8ZyBtYXNrPSJ1cmwoI0VlSkFvKSI+CiAgICA8cmVjdCB3aWR0aD0iNjY4IiBoZWlnaHQ9IjIwMCIgZmlsbD0iIzU1NSIvPgogICAgPHJlY3Qgd2lkdGg9IjM5MCIgaGVpZ2h0PSIyMDAiIGZpbGw9IiMzQzEiIHg9IjY2OCIvPgogICAgPHJlY3Qgd2lkdGg9IjEwNTgiIGhlaWdodD0iMjAwIiBmaWxsPSJ1cmwoI2hDY1hFKSIvPgogIDwvZz4KICA8ZyBhcmlhLWhpZGRlbj0idHJ1ZSIgZmlsbD0iI2ZmZiIgdGV4dC1hbmNob3I9InN0YXJ0IiBmb250LWZhbWlseT0iVmVyZGFuYSxEZWphVnUgU2FucyxzYW5zLXNlcmlmIiBmb250LXNpemU9IjExMCI+CiAgICA8dGV4dCB4PSI2MCIgeT0iMTQ4IiB0ZXh0TGVuZ3RoPSI1NjgiIGZpbGw9IiMwMDAiIG9wYWNpdHk9IjAuMjUiPnItdW5pdmVyc2U8L3RleHQ+CiAgICA8dGV4dCB4PSI1MCIgeT0iMTM4IiB0ZXh0TGVuZ3RoPSI1NjgiPnItdW5pdmVyc2U8L3RleHQ+CiAgICA8dGV4dCB4PSI3MjMiIHk9IjE0OCIgdGV4dExlbmd0aD0iMjkwIiBmaWxsPSIjMDAwIiBvcGFjaXR5PSIwLjI1Ij4wLjQuMjwvdGV4dD4KICAgIDx0ZXh0IHg9IjcxMyIgeT0iMTM4IiB0ZXh0TGVuZ3RoPSIyOTAiPjAuNC4yPC90ZXh0PgogIDwvZz4KICAKICA8L2E+Cjwvc3ZnPg==" /></td>
</tr>
<tr class="even">
<td align="left"><a href="https://github.com/SwissClinicalTrialOrganisation/secuTrialR"><code>secuTrialR</code></a></td>
<td align="left">Seamless and standardized interaction with data
exported from the clinical data management system (CDMS) ‘secuTrial’<a href="https://www.secutrial.com">https://www.secutrial.com</a>. The
primary data export the package works with is a standard non-rectangular
export.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="odd">
<td align="left"><a href="https://github.com/thofab/sse"><code>sse</code></a></td>
<td align="left">Provides functions to evaluate user-defined power
functions for a parameter range, and draws a sensitivity plot. It also
provides a resampling procedure for semi-parametric sample size
estimation and methods for adding information to a Sweave report.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="even">
<td align="left"><a href="https://github.com/CTU-Bern/svn"><code>svn</code></a></td>
<td align="left">Get information on SVN repositories through R. Explore
file status, commit logs etc.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,PHN2ZyB3aWR0aD0iMTA1LjgiIGhlaWdodD0iMjAiIHZpZXdCb3g9IjAgMCAxMDU4IDIwMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiByb2xlPSJpbWciIGFyaWEtbGFiZWw9InItdW5pdmVyc2U6IDAuNC4wIj4KICA8YSBocmVmPSJodHRwczovL2N0dS1iZXJuLnItdW5pdmVyc2UuZGV2L3N2biIgYWx0PSJyLXVuaXZlcnNlIj4KICA8dGl0bGU+ci11bml2ZXJzZTogMC40LjA8L3RpdGxlPgogIDxsaW5lYXJHcmFkaWVudCBpZD0iUmVLek8iIHgyPSIwIiB5Mj0iMTAwJSI+CiAgICA8c3RvcCBvZmZzZXQ9IjAiIHN0b3Atb3BhY2l0eT0iLjEiIHN0b3AtY29sb3I9IiNFRUUiLz4KICAgIDxzdG9wIG9mZnNldD0iMSIgc3RvcC1vcGFjaXR5PSIuMSIvPgogIDwvbGluZWFyR3JhZGllbnQ+CiAgPG1hc2sgaWQ9Ilp5amhuIj48cmVjdCB3aWR0aD0iMTA1OCIgaGVpZ2h0PSIyMDAiIHJ4PSIzMCIgZmlsbD0iI0ZGRiIvPjwvbWFzaz4KICA8ZyBtYXNrPSJ1cmwoI1p5amhuKSI+CiAgICA8cmVjdCB3aWR0aD0iNjY4IiBoZWlnaHQ9IjIwMCIgZmlsbD0iIzU1NSIvPgogICAgPHJlY3Qgd2lkdGg9IjM5MCIgaGVpZ2h0PSIyMDAiIGZpbGw9IiMzQzEiIHg9IjY2OCIvPgogICAgPHJlY3Qgd2lkdGg9IjEwNTgiIGhlaWdodD0iMjAwIiBmaWxsPSJ1cmwoI1JlS3pPKSIvPgogIDwvZz4KICA8ZyBhcmlhLWhpZGRlbj0idHJ1ZSIgZmlsbD0iI2ZmZiIgdGV4dC1hbmNob3I9InN0YXJ0IiBmb250LWZhbWlseT0iVmVyZGFuYSxEZWphVnUgU2FucyxzYW5zLXNlcmlmIiBmb250LXNpemU9IjExMCI+CiAgICA8dGV4dCB4PSI2MCIgeT0iMTQ4IiB0ZXh0TGVuZ3RoPSI1NjgiIGZpbGw9IiMwMDAiIG9wYWNpdHk9IjAuMjUiPnItdW5pdmVyc2U8L3RleHQ+CiAgICA8dGV4dCB4PSI1MCIgeT0iMTM4IiB0ZXh0TGVuZ3RoPSI1NjgiPnItdW5pdmVyc2U8L3RleHQ+CiAgICA8dGV4dCB4PSI3MjMiIHk9IjE0OCIgdGV4dExlbmd0aD0iMjkwIiBmaWxsPSIjMDAwIiBvcGFjaXR5PSIwLjI1Ij4wLjQuMDwvdGV4dD4KICAgIDx0ZXh0IHg9IjcxMyIgeT0iMTM4IiB0ZXh0TGVuZ3RoPSIyOTAiPjAuNC4wPC90ZXh0PgogIDwvZz4KICAKICA8L2E+Cjwvc3ZnPg==" /></td>
</tr>
<tr class="odd">
<td align="left"><a href="https://github.com/CTU-Bern/SwissASR"><code>SwissASR</code></a></td>
<td align="left">Completing the SwissEthics Annual Safety Report can be
tiresome. This package eases the pain by providing an automated method
to fill it out.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
<tr class="even">
<td align="left"><a href="https://github.com/CTU-Bern/unibeCols"><code>unibeCols</code></a></td>
<td align="left">The University of Bern has a set of corporate design
colours. This package has functions that contain them.</td>
<td align="left"><img src="data:image/svg+xml; charset=utf-8;base64,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" /></td>
</tr>
</tbody>
</table>
<h2 id="for-users">For users…</h2>
<p>All vignettes are accessible via the <a href="https://ctu-bern.r-universe.dev/ui#articles">articles button</a>
on the universe page.</p>
<p>To use the universe, in R, do the following, which adds the universe
to your list of repos (when installing packages, R will cycle through
the repos until it finds the appropriate package)…</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="fu">options</span>(<span class="at">repos =</span> <span class="fu">c</span>(<span class="at">CTU =</span> <span class="st">"https://ctu-bern.r-universe.dev"</span>,</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a> <span class="at">CRAN =</span> <span class="st">"https://cran.rstudio.com/"</span>))</span></code></pre></div>
<p>It is then possible to install universe packages as if they were CRAN
packages…</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="fu">install.packages</span>(<span class="st">"accrualPlot"</span>)</span></code></pre></div>
<p>Alternatively, you can install without setting the option:</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">install.packages</span>(<span class="st">"accrualPlot"</span>, <span class="at">repos =</span> <span class="st">"https://ctu-bern.r-universe.dev"</span>)</span></code></pre></div>
<h2 id="for-maintainers">For maintainers…</h2>
<p>A dashboard of the included packages and build status can be found <a href="https://ctu-bern.r-universe.dev/ui#builds">here</a>.</p>
<p>Briefly, packages should be added to <a href="packages.json">packages.json</a>. They are then tracked on <a href="https://github.com/r-universe/ctu-bern">r-universe</a> and built
each hour. <a href="https://ropensci.org/blog/2021/06/22/setup-runiverse/">See here
for further details of universes</a></p>
<h3 id="acknowledgements">Acknowledgements</h3>
<p>The package logo was created with <a href="https://ggplot2.tidyverse.org/"><code>ggplot2</code></a> and <a href="https://github.com/GuangchuangYu/hexSticker"><code>hexSticker</code></a>.</p>
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