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(This article was first published on <strong><a href="https://ropensci.org/blog/2018/06/07/unconf_recap_3/"> rOpenSci - open tools for open science</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>For day 3 of project recaps from <a rel="nofollow" href="https://ropensci.org/blog/2018/06/07/unconf_recap_3/" target="_blank">this year’s unconf</a>, here is an overview of the next five projects. Stay tuned for the last recap tomorrow.</p>
<p>In the spirit of exploration and experimentation at rOpenSci unconferences, these projects are not necessarily finished products or in scope for rOpenSci packages.</p>
<p>Let’s dive into today’s 5 projects in focus!</p>
<h3><code>jobstatus</code></h3>
<p><img alt="jobstatus in action" src="https://i2.wp.com/ropensci.org/img/blog-images/2018-06-07-unconf18_recap_3/jobstatus.gif?w=456&ssl=1" data-recalc-dims="1"></p>
<p><strong>Summary:</strong> <code>jobstatus</code> helps keep an eye on how complex and long-running jobs, including jobs running in parallel, are progressing. The maintainers won’t have much time to extend and improve the package so they’d love to have help: if you’re keen please let them know in the <a rel="nofollow" href="https://github.com/ropenscilabs/jobstatus/issues" target="_blank">issues tracker</a>!</p>
<p><strong>Team:</strong> <a rel="nofollow" href="https://github.com/goldingn" target="_blank">Nick Golding</a>, <a rel="nofollow" href="https://github.com/mpadge" target="_blank">Mark Padgham</a>, <a rel="nofollow" href="https://github.com/jcheng5" target="_blank">Joe Cheng</a>.</p>
<p><strong>Github:</strong> <a rel="nofollow" href="https://github.com/ropenscilabs/jobstatus" target="_blank">https://github.com/ropenscilabs/jobstatus</a></p>
<p><img alt="jobstatus team" src="https://i1.wp.com/ropensci.org/img/blog-images/2018-06-07-unconf18_recap_3/jobstatus.jpg?w=456&ssl=1" data-recalc-dims="1"></p>
<p><code>jobstatus</code> <em>team picture by <a rel="nofollow" href="https://twitter.com/mauro_lepore" target="_blank">Mauro Lepore</a>.</em></p>
<h3><code>motifator</code></h3>
<p><strong>Summary:</strong> <code>motifator</code> is a package aiming at generating spatial motifs that replicate the ones seen in real-world data, without including any potentially identifying information. Potential applications include the analysis of the impact of spatial clustering of different levels of vaccination coverage in a model of infectious disease transmission.</p>
<p><strong>Team:</strong> <a rel="nofollow" href="http://www.jonzelner.net/" target="_blank">Jon Zelner</a></p>
<p><strong>Github:</strong> <a rel="nofollow" href="https://github.com/ropenscilabs/motifator" target="_blank">https://github.com/ropenscilabs/motifator</a></p>
<h3><code>QcodeR</code></h3>
<p><img alt="QcodeR hex logo" src="https://i0.wp.com/ropensci.org/img/blog-images/2018-06-07-unconf18_recap_3/qcoder.png?w=456&ssl=1" data-recalc-dims="1"></p>
<p><strong>Summary:</strong> <code>QcodeR</code> is a lightweight package to conduct <em>qualitative coding</em> i.e. analysis of textual qualitative data such as text from interview transcripts and observation notes, in particular via annotating the text with tags.</p>
<p><img alt="QcodeR app coded data tab" src="https://i0.wp.com/ropensci.org/img/blog-images/2018-06-07-unconf18_recap_3/qcoder_codeddata.png?w=456&ssl=1" data-recalc-dims="1"></p>
<p>Example of <code>QcodeR</code> Shiny app, coded data tab, with <a rel="nofollow" href="http://unconf18.ropensci.org/coc.html" target="_blank">the unconf code of conduct</a>.</p>
<p><strong>Team:</strong> <a rel="nofollow" href="https://github.com/elinw" target="_blank">Elin Waring</a>, <a rel="nofollow" href="https://github.com/dsholler" target="_blank">Dan Sholler</a>, <a rel="nofollow" href="https://github.com/learithe" target="_blank">Jenny Draper</a>, <a rel="nofollow" href="https://github.com/bduckles" target="_blank">Beth Duckles</a>.</p>
<p><strong>Github:</strong> <a rel="nofollow" href="https://github.com/ropenscilabs/QcodeR" target="_blank">https://github.com/ropenscilabs/QcodeR</a></p>
<h3><code>opencv</code></h3>
<p><strong>Summary:</strong> <code>opencv</code> is a package wrapping <a rel="nofollow" href="https://opencv.org/" target="_blank">OpenCV (Open Source Computer Vision Library) </a>. Functionalities currently supported by the R package include (live) face recognition and edge detection.</p>
<p><strong>Team:</strong> <a rel="nofollow" href="https://github.com/jeroen" target="_blank">Jeroen Ooms</a></p>
<p><strong>Github:</strong> <a rel="nofollow" href="https://github.com/ropenscilabs/opencv" target="_blank">https://github.com/ropenscilabs/opencv</a></p>
<p><img alt="opencv demo" src="https://i2.wp.com/ropensci.org/img/blog-images/2018-06-07-unconf18_recap_3/opencv.jpg?w=456&ssl=1" data-recalc-dims="1"></p>
<p><code>opencv</code> <em>demo picture by <a rel="nofollow" href="https://twitter.com/mauro_lepore" target="_blank">Mauro Lepore</a>.</em></p>
<h3><code>trackmd</code></h3>
<p><strong>Summary:</strong> <code>trackmd</code> is an RStudio addin for tracking changes in Markdown format, inspired by <a rel="nofollow" href="http://criticmarkup.com/" target="_blank">Critic Markup</a>. Its main feature at this stage is <code>trackmd::trackChanges()</code> that helps one track and view changes while editing a Markdown file.</p>
<p><img alt="trackmd in action" src="https://i2.wp.com/ropensci.org/img/blog-images/2018-06-07-unconf18_recap_3/trackmd.gif?w=456&ssl=1" data-recalc-dims="1"></p>
<p><strong>Team:</strong> <a rel="nofollow" href="https://github.com/sctyner" target="_blank">Sam Tyner</a>, <a rel="nofollow" href="https://github.com/zachary-foster" target="_blank">Zachary Foster</a>.</p>
<p><strong>Github:</strong> <a rel="nofollow" href="https://github.com/ropenscilabs/trackmd" target="_blank">https://github.com/ropenscilabs/trackmd</a></p>
<p>Look for the last post featuring unconf18 projects tomorrow!</p>
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