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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" xmlns:fb="http://ogp.me/ns/fb#">
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<title>useR! 2014 Los Angeles</title>
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<meta name="description" content="The annual useR! international R User conference is the main meeting of the R user and developer community. In 2014, the conference will be held at the campus of the University of California in Los Angeles (UCLA)." />
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<a href="https://github.com/user2014/user2014.github.io"><img style="position: absolute; top: 0; left: 0; border: 0;" src="https://camo.githubusercontent.com/82b228a3648bf44fc1163ef44c62fcc60081495e/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f6c6566745f7265645f6161303030302e706e67" alt="Fork me on GitHub" data-canonical-src="https://s3.amazonaws.com/github/ribbons/forkme_left_red_aa0000.png"></a>
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<h1>The R User Conference 2014</h1>
<p class="lead">
June 30 - July 3 2014<br>UCLA, Los Angeles, California
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<li class="nav-header">Conference</li>
<li class="active"><a href="#latest"><i class="icon-bullhorn icon-white"></i> Latest News</a></li>
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<ul>
<li><a href="#Rooms"><i class = "icon-calendar"></i>Session overview (rooms)</a></li>
<li><a href="#Tuesday"><i class= "icon-th-large"></i>Tuesday contributed talks</a></li>
<li><a href="#Wednesday"><i class= "icon-th-large"></i>Wednesday contributed talks</a></li>
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<h1>Latest News</h1>
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<h4 class="media-heading">Video recordings</h4>
<p>
<i>Video recordings of useR conference are being published on <a href="http://datascience.la/">DataScience.LA</a>, a site recently launched to benefit the LA R/Data Science community. We are following a weekly release, to get updates follow us on Twitter <a href="https://twitter.com/wwwDSLA/">@wwwDSLA</a>.</i>
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<a class="pull-left" href="#"> <img class="media-object" src="images/news.png" alt="newsicon"> </a>
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<h4 class="media-heading">Live chat and updates</h4>
<p class="lead">
<i>Chat and mingle at <a id="modallink" href="https://twitter.com/hashtag/user2014">#user2014</a> on twitter!</i>
</p>
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<h4 class="media-heading">Registration registration closed!</h4>
<p>
<i>We are pleased to announce that registration is now full for this Conference. Late registration and lodging requests will be available on site ONLY as space allows.</i>
</p>
</div>
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<div class="media">
<a class="pull-left" href="#"> <img class="media-object" src="images/news.png" alt="newsicon"> </a>
<div class="media-body">
<h4 class="media-heading">Abstract submission closed</h4>
<p>
<i>The deadline to submit abstracts for poster sessions and regular talks has passed and submissions are now closed. <span class="text-error">Update (May 1):</span> The abstract notifications were mailed out today. If you submitted an abstract but did not receive a notification, please contact Joshua at <code>[email protected]</code>.</i>
</p>
</div>
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<h4 class="media-heading">Call for abstracts</h4>
<p>
<i>We invite useRs to submit abstracts for oral or poster presentations on innovative or exciting applications of R. Timeslots for oral presentations are 15 minutes + 5 minutes for questions and discussion. An <a href="files/abstract_templates.zip">abstract template</a> is available in <code>tex</code>, <code>doc</code> and <code>odt</code> format. Please try to stick with the template, keep the PDF file 1 page and under 1MB in size. Abstracts should be submitted using <a href="http://user2014.stat.ucla.edu/abstract-submission.html">this form</a>. Specify in the form if the abstract concerns a talk or poster presentation.</i>
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<div class="media-body">
<h4 class="media-heading">Confirmed Speakers</h4>
<p>
<i>We are excited to announce some of the invited speakers that have already confirmed to speak at useR! 2014 in Los Angeles!
The line-up includes:
<a href="http://www-stat.stanford.edu/~jmc4/">John Chambers</a> (S, R),
<a href="http://www.ddiez.com/">David Diez</a> (OpenIntro),
<a href="http://dirk.eddelbuettel.com/">Dirk Eddelbuettel</a> (Rcpp, Debian),
<a href="http://gifi.stat.ucla.edu/">Jan de Leeuw</a> (Journal of Statistical Software),
<a href="http://stat.ethz.ch/people/maechler">Martin Mächler</a> (R Core, R Foundation),
<a href="http://www.nioz.nl/staff-detail?id=784400">Karline Soetaert</a> (Solving Differential Equations in R)</i>
</p>
</div>
</div>
<div class="media">
<a class="pull-left" href="#"> <img class="media-object" src="images/news.png" alt="newsicon"> </a>
<div class="media-body">
<h4 class="media-heading">Sponsor Invitation</h4>
<p>
<i>Financial sponsorship of the conference is a way to give back to the R community. In so doing, your
organization will gain visibility among prominent statisticians and in the large R user base. Funds from
sponsors will be used to enhance the conference, e.g. to provide scholarships for participants who would
otherwise be unable to attend, to help fund the social aspects of the conference, etc.</i>
</p><p>
<i>To learn about how to become a sponsor, types of sponsorship, etc, download the sponsor brochure:
[<a href="files/useR2014_sponsors.pdf">pdf</a>]
[<a href="files/useR2014_sponsors.odt">odt</a>] </i>
</p>
</div>
</div>
</section>
<section id="about">
<div class="page-header">
<h1>About the Conference</h1>
</div>
<p>
The annual <a href="http://www.r-project.org/conferences.html">useR!</a> international R User conference is the main meeting of the <a
href="http://www.r-project.org/">R</a> user and developer community. Its program consists of both invited and user-contributed
presentations:
</p>
<ul>
<li>The invited keynote lectures cover a broad spectrum of topics ranging from technical and R-related computing issues to
general statistical topics of current interest.</li>
<li>The user-contributed presentations are submitted as abstracts prior to the conference and may be related to (virtually) any
R-related topic. The presentations are typically organized in sessions of either broad or special interest, which also comprise a
"free" discussion format. Such a discussion format not only provides a forum for software demonstrations and detailed discussions but
also supports the self-organization of the respective communities.</li>
</ul>
<div class="thumbnail">
<img class="img-rounded" src="images/bill.jpg" alt="bill venables" />
</div>
<p>
In 2014, the conference will be held at the campus of the University of California in Los Angeles (<a href="http://www.ucla.edu/">UCLA</a>).
The conference is being organized with support from the <a href="http://statistics.ucla.edu">UCLA Statistics Department</a>, the <a
href="http://www.foastat.org/">Foundation for Open Access Statistics</a> and the <a href="http://www.meetup.com/LA-RUG">Los Angeles R user group</a>. The organizing committee consists of:
</p>
<ul>
<li>Chair: <a href="http://neurosurgery.ucla.edu/body.cfm?id=661">David McArthur</a> – UCLA School of Medicine.</li>
<li><a href="http://gifi.stat.ucla.edu/">Jan de Leeuw</a> – UCLA Department of Statistics</li>
<li><a href="http://www.stat.ucla.edu/~amelia.mcnamara/">Amelia McNamara</a> – UCLA Department of Statistics</li>
<li><a href="http://directory.stat.ucla.edu/katharine-mullen">Katharine Mullen</a> – UCLA Department of Statistics</li>
<li><a href="http://jeroenooms.github.io/">Jeroen Ooms</a> – UCLA Department of Statistics</li>
<li><a href="http://www.linkedin.com/in/szilard">Szilárd Pafka</a> – Los Angeles R User’s Group</li>
<li><a href="http://www.anamnetic.com/">Tim Triche</a> – University of Southern California</li>
<li><a href="http://joshuawiley.com/">Joshua Wiley</a> – UCLA Department of Psychology</li>
</ul>
<p>Questions? Kindly contact <a href="mailto:[email protected]?subject=userR!2014 question"><code>dmca [at] ucla.edu</code></a> using the subject heading <code>userR!2014 question</code>. (Use of a different subject heading in your email may delay our response).</p>
<p>The organizing committee wishes to extend special thanks to the UCLA statistics department staff, who have been invaluable during the planning of this conference. They are:</p>
<ul>
<li><a href="http://directory.stat.ucla.edu/glenda-jones">Glenda Jones</a> - Student Affairs Officer</li>
<li><a href="http://directory.stat.ucla.edu/jason-mesa">Jason Mesa</a> - Administrative Specialist</li>
<li><a href="http://directory.stat.ucla.edu/verghese-nallengara">Verghese Nallengara</a> - Programmer Analyst</li>
<li><a href="http://directory.stat.ucla.edu/enrique-reyes">Enrique Reyes</a> - Programmer Analyst</li>
<li><a href="http://directory.stat.ucla.edu/chie-ryu">Chie Ryu</a> - Management Services Officer</li>
<li><a href="http://directory.stat.ucla.edu/joana-valenzuela">Joana Valenzuela</a> - Administrative Analyst</li>
</ul>
<p>The program committee consists of:</p>
<ul>
<li><a href="http://www.nhh.no/Default.aspx?ID=697">Roger Bivand</a></li>
<li><a href="http://socserv.mcmaster.ca/jfox/">John Fox</a></li>
<li><a href="http://www.ars.usda.gov/pandp/people/people.htm?personid=31752">Sarah Goslee</a></li>
<li><a href="http://prof.tfh-berlin.de/groemping/">Ulrike Grömping</a></li>
<li><a href="http://user.math.uzh.ch/hothorn/">Torsten Hothorn</a></li>
<li><a href="http://people.math.aau.dk/~sorenh/">Søren Højsgaard</a></li>
<li><a href="http://www.meetup.com/R-Users/members/7965896/">Nicholas Lewin-Koh</a></li>
<li><a href="http://www.statistik.tu-dortmund.de/ligges0.html">Uwe Ligges</a></li>
<li><a href="http://www.heatherturner.net/">Heather Turner</a></li>
<li><a href="http://eeecon.uibk.ac.at/~zeileis/">Achim Zeileis</a></li>
</ul>
</section>
<section id="sponsors">
<div class="page-header">
<h1>Sponsors</h1>
</div>
<h3>Platinum</h3>
<a href="http://www.rstudio.org"><img src="images/RStudioLogo200.png" style="margin: 10px; height:70px;"></a>
<a href="http://www.revolutionanalytics.com"><img src="images/Revolution-200x15.png" style="margin: 10px; height:110px;"></a>
<a href="http://www.oracle.com"><img src="images/oraclelogo.jpg" style="margin: 10px; height:50px;"></a>
<h3>Gold</h3>
<a href="http://www.google.com"><img src="images/Google-200x115.png" style="margin: 10px; height:90px;"></a>
<h3>Silver</h3>
<a href="http://www.alteryx.com"><img src="images/alteryx-logo.png" style="margin: 10px; height:40px;"></a>
<a href="http://www.teradata.com"><img src="images/teradata-logo.jpeg" style="margin: 10px; height:70px;"></a>
<a href="http://www.facebook.com"><img src="images/Facebook-logo-PSD.jpg" style="margin: 10px; height:90px;"></a>
<br>
<a href="http://spotfire.tibco.com"><img src="images/TIBCO-Spotfire_Logo-2.png" style="margin: 10px; height:48px;"></a>
<a href="http://www.datarobot.com"><img src="images/logo-datarobot.png" style="margin: 10px; height:33px;"></a>
<a href="http://www.0xdata.com"><img src="images/h2o-logo.png" style="margin: 10px; height:60px;"></a>
<h3>Bronze</h3>
<a href="http://www.toutbay.com"><img src="images/toutbay-logo.png" style="margin: 10px; height:40px;"></a>
<a href="https://plot.ly"><img src="images/plotly_logo.png" style="margin: 10px; height:70px;"></a>
<a href="http://www.openanalytics.eu"><img src="images/OpenAnalytics-200x115.png" style="margin: 10px; height:90px;"></a>
<br>
<a href="http://supstat.com/"><img src="images/supstat.png" style="margin: 10px; height:48px;"></a>
<a href="http://www.sagepub.com"><img src="images/sage-logo-200x115.png" style="margin: 10px; height:70px;"></a>
<a href="http://www.crcpress.com"><img src="images/chapman-hall-logo-200x115.png" style="margin: 10px; height:90px;"></a>
<br>
<a href="http://www.wiley.com"><img src="images/wiley2013.png" style="margin: 10px; height:60px;"></a>
<a href="http://www.springer.com"><img src="images/Springer.png" style="margin: 10px; height:40px;"></a>
<a href="http://www.cambridge.org/"><img src="images/CambridgeUnivPress.jpg" style="margin: 10px; height:60px;"></a>
<h3>Media</h3>
<a href="http://www.kdnuggets.com"><img src="images/kdnuggets-logo.png" style="margin: 10px; height:50px;"></a>
</section>
<section id="dates">
<div class="page-header">
<h1>Important Dates</h1>
</div>
<table class="table table-hover">
<thead>
<tr><th>Event</th><th>Date</th></tr>
</thead>
<tbody>
<tr><td>Tutorial Submissions Deadline</td><td>2014-01-05</td></tr>
<tr><td>Abstract Submissions Deadline</td><td>2014-04-10</td></tr>
<tr><td>Notification of Acceptance</td><td>2014-05-01</td></tr>
<tr><td>Early Registration Deadline</td><td>2014-05-10</td></tr>
<tr><td>Registration Deadline</td><td>2014-06-01</td></tr>
<tr><td>Late registration deadline (closed!)</td><td>2014-06-26</td></tr>
<tr><td>Tutorials</td><td>2014-06-30</td></tr>
<tr><td>Conference Start</td><td>2014-07-01</td></tr>
<tr><td>Conference End</td><td>2014-07-03</td></tr>
</tbody>
</table>
</section>
<section id="registration">
<div class="page-header">
<h1>Registration</h1>
</div>
<p><strike>We are pleased to declare registration open at this time!</strike><b><span class="text-error">Update: We are pleased to announce that registration is now full for this Conference. Late registration and lodging requests will be available on site ONLY as space allows.</span></b></p>
<table class="table table-hover">
<thead>
<tr><th></th><th>Student</th><th>Academic</th><th>Industry</th></tr>
</thead>
<tbody>
<tr><th>Early (before 2014-05-10) </th><td>$125</td><td>$250</td><td>$375</td></tr>
<tr><th>Regular (before 2014-06-01) </th><td>$150</td><td>$300</td><td>$425</td></tr>
<tr><th>Late (before 2014-06-26)</th><td>$175</td><td>$350</td><td>$475</td></tr>
<tr><th>On-Site (limited availability)</th><td>$250</td><td>$500</td><td>$675</td></tr>
</tbody>
</table>
<p>The registration page allows for both purchasing conference tickets as well as (optional) on-campus housing within a single order. Tutorials are included with the conference ticket!</p>
<h4>Campus housing</h4>
<p> UCLA has made a limited number of on-campus dormitories available for conference guests to stay. These rooms can be purchased on a per-night basis along with the conference ticket. Two options are available: a <b>single (private) room</b> costs $134.00 per night, whereas a <b>double (shared) room</b> is $87.00 per night. When choosing a double room, the registration form will ask to name another conference visitor that you will be sharing the room with. We expect guests that wish to share a room will take initiave in finding a room mate, but the organizing committee can provide some assistance if needed.</p>
<p> When purchasing on-campus housing, <b><span class="text-error">please double check that the value in the "Number of Nights" dropdown menu matches the number of selected checkboxes</span></b>. Unfortunately the form of our vendor does not seem to verify this and only charges for the number of nights that were selected in the dropdown menu. This is a bit confusing but beyond our control. Obviously you can only stay as many nights as you purchased :-)</p>
<div class="text-center">
<img class="img-polaroid" id="regscreenshot" src="images/screenshot_small.png" alt="Screenshot of registration page" />
</div>
<h4>Paying by business check</h4>
<p>If your institution or business permits you to pay using their funds, then please send the institutional or business check promptly to ensure that your registration is complete. If our office does not receive a valid check for payment in full before 6/1/14 or if it is dishonored in any way then your registration will be canceled without notice. Full payment of all charges is required; payment of some charges but not others using this method is not permitted. The check must be made out in US dollars only to "Regents of the University of California" with memo field stating "UseR!2014 registration for __your name___" and receipt number. The mailing address is UCLA Department of Statistics attn. J Valenzuela, Box 951554, 8125 Math Sciences Building, Los Angeles, CA 90095-1554 USA. By selecting the "Pay with institutional check" option you are agreeing to follow the above requirements in full.</p>
</section>
<section id="invited">
<div class="page-header">
<h1>Invited Talks</h1>
</div>
<h4 id="chambers"><a href="http://www-stat.stanford.edu/~jmc4/">John Chambers</a> - Interfaces, Efficiency and Big Data </h4>
<blockquote>The use of R continues to grow, notably in the number and diversity of packages that apply R to a wide range of data sources and analytic techniques. At the same time, statistics is currently "hot", particularly by implication in "data science" and "big data". In conjunction, these phenomena have stimulated interest in improving the use of R for applications with heavy demands for computation and/or data size. Responding sensibly requires understanding the essential model in R for computation and data; in fact, the key concepts go all the way back to the beginning of S. The challenges have grown enormously, but so have the options and the potential tools. This talk discusses various approaches, using as examples some promising current projects. [<a href="files/chambers.pdf">slides</a>]</blockquote>
<h4 id="maechler"><a href="http://stat.ethz.ch/people/maechler">Martin Mächler</a> - Good Practices in R Programming</h4>
<blockquote>At the first useR! meeting in Vienna in 2004, I had presented seven guidelines for good R programming practice I called "rules". Revisiting, I will ask how much has changed - or not. Namespaces have brought even more justification for emphasizing functions as the main ingredients of much of good R code. We have more and better tools for reproducible research and data analysis nowadays, and I'll touch on some consequences I see for useR's code organization. As some of it has been my specialty within R Core, we'll also look into some aspects of a generalized FAQ 7.31 and what every programmeR should know about computer arithmetic.</blockquote>
<h4 id="eddelbuettel"><a href="http://dirk.eddelbuettel.com/">Dirk Eddelbuettel</a> - R, C++ and Rcpp </h4>
<blockquote>Over the last few years, Rcpp has become a key tool for extending R with compiled code. In this talk, we start by reviewing the context for using C++ in R. Next, we briefly illustrate both the ease of use, as well as the power of Rcpp. We then assess the growth of Rcpp, before we provide some comments regarding the CRAN package ecosystem which are drawn from both our experience with Rcpp and our experience in providing components of the Debian / Ubuntu packaging system. [<a href="http://dirk.eddelbuettel.com/papers/useR2014_keynote.pdf">slides</a>]</blockquote>
<h4 id="diez"><a href="http://www.ddiez.com/">David Diez</a> - Textbooks struggle where software succeeds</h4>
<blockquote>The use of open-source textbooks in the classroom has struggled to keep pace with the adoption of open-source software in research, such as R. There is strong demand for course resources such as textbooks, but adoption of open-source options by instructors has been slow. OpenIntro (openintro.org) has been one of the teams developing an ecosystem of free course resources for introductory statistics. I’ll discuss why open-source in the classroom is different than open-source software; I’ll give the first-ever public look at hard numbers on OpenIntro’s progress (including $$$); and I’ll discuss how to join the open education movement. [<a href="https://docs.google.com/presentation/d/1YgfuxGIuU_ltxzK5eOzPc4TnKnyUnmVDruDc5uldM1U/edit#slide=id.p">slides</a>]</blockquote>
<h4 id="soetaert"><a href="http://www.nioz.nl/staff-detail?id=784400">Karline Soetaert</a> - Solving differential equations in R</h4>
<blockquote>R has become the most widely used system for statistical data analysis, but it is also well suited for other disciplines in scientific computing. One of the fields where considerable progress has been made is the numerical solution of differential equations. Differential equations are the mathematical formalism expressing conservation laws of e.g. energy, momentum, mass, and are commonly used in many engineering and scientific disciplines. Several R packages that I (co-)authored: deSolve, rootSolve, bvpSolve and ReacTran, allow to efficiently solve and analyse a large variety of deterministic differential equations. They comprise ordinary differential equations, initial value and boundary value problems, differential algebraic equations, partial differential equations and delay differential equations. In my talk, I will show how differential equation problems can be solved in R, how to deal with numerically challenging problems, how external data can be handled, how results can be plotted, different scenarios compared, ...
</blockquote>
<h4 id="deleeuw"><a href="http://gifi.stat.ucla.edu/">Jan de Leeuw</a> and <a href="http://directory.stat.ucla.edu/katharine-mullen">Katharine Mullen </a> - The Journal of Statistical Software: Past, Present, Future</h4>
<blockquote>JSS was established in 1996. Among its original purposes were promoting open access publishing, promoting open source software, and promoting the new UCLA Department of Statistics. In addition we wanted to make it possible for software writers to receive academic credit for their work. From the start we decided on a purely volunteer model, with no financial charges for either authors or readers, and no financial rewards for editors or reviewers. In this presentation we review the history of JSS, the developments in its form and contents, its interaction with the R project, and the real and anticipated problems in its management. [<a href="http://gifi.stat.ucla.edu/janspubs/2014/notes/deleeuw_mullen_U_14.pdf">slides</a>]</blockquote>
</section>
<section id="tutorials">
<div class="page-header">
<h1>Tutorials</h1>
</div>
<p>This year there is no separate registration process or extra fee for attending tutorials. Tutorials are included with a conference ticket. No computers will be provided for tutorials. If you would like to follow along and run code, we recommend bringing your own computer.</p>
<p>It turns out that the conference halls have very few power outlets. If you would like to charge your devices throughout the day, please consider bringing an extension cord or power strip, in order to share an outlet with other users. We apologize for this inconvenience.</p>
<div class="text-center">
<img class="img img-responsive" src="images/powerstrip.jpg">
</div>
<h3>Morning Tutorials <small>Monday, 9:15</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Room</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><td>Palisades Salon A+B</td> <td>Max Kuhn</td> <td><a href="http://appliedpredictivemodeling.com/user2014">Applied Predictive Modeling in R</a></td></tr>
<tr> <td>Palisades Salon C+F</td> <td>Winston Chang</td> <td>Interactive graphics with ggvis</td> </tr>
<tr> <td>Palisades Salon D+E</td> <td>Yihui Xie</td> <td>Dynamic Documents with R and knitr <a href="https://dl.dropboxusercontent.com/u/15335397/slides/2014-useR-knitr-tutorial-Yihui-Xie.html">[Slides]</a> <a href="https://www.dropbox.com/s/0mabfshkbpe9bp1/2014-useR-knitr-tutorial-examples.zip">[Examples]</a></td> </tr>
<tr> <td>Hermosa</td> <td>Romain Francois</td> <td> <a href="http://blog.r-enthusiasts.com/2014/06/17/user2014-rcpp11-tutorial/">C++ and Rcpp11 for beginners</a> [<a href="https://www.dropbox.com/sh/geljkmz4vvmf8a5/AAAQY7asXnP3dzZFyuljfxS6a">slides</a>] </td> </tr>
<tr> <td>Venice</td> <td>Bob Muenchen</td> <td><a href="http://1drv.ms/1mx6ti1">Managing Data with R</a></td> </tr>
<tr> <td>Sproul-Landing building, 3rd floor</td> <td>Matt Dowle</td> <td>Introduction to data.table
<a href="files/tutorial_Matt.pdf">[Tutorial]</a>
<a href="files/talk_Matt.pdf">[Talk]</a></td></tr>
<tr> <td>Sproul-Landing building, 4th floor</td><td>Virgilio Gomez Rubio</td> <td><a href="http://www.uclm.es/profesorado/vgomez/useR2014">Applied Spatial Data Analysis with R</a></td></tr>
<tr> <td>Sproul-Landing building, 5th floor</td> <td>Martin Morgan</td> <td><a href="http://bioconductor.org/help/course-materials/2014/useR2014/">Bioconductor</a></td></tr>
</tbody>
</table>
<h3>Afternoon Tutorials <small>Monday, 14:00</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Room</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr> <td>Palisades Salon A+B</td> <td>Hadley Wickham</td> <td><a href="http://bit.ly/dplyr-tutorial">Data manipulation with dplyr</a></td></tr>
<tr> <td>Palisades Salon C+F</td> <td>Garrett Grolemund</td> <td><a href="files/tutorial_Garrett.pdf">Interactive data display with Shiny and R</a></td></tr>
<tr> <td>Palisades Salon D+E</td> <td>Drew Schmidt</td> <td><a href="files/tutorial_Schmidt.pdf">Programming with Big Data in R</a></td></tr>
<tr> <td>Hermosa</td> <td>Søren Højsgaard</td> <td><a href="http://people.math.aau.dk/~sorenh/misc/2014-useR-GMBN/">Graphical Models and Bayesian Networks with R</a></td></tr>
<tr> <td>Venice</td> <td>John Nash</td> <td><a href="files/tutorial_Nash_abstract.pdf">Nonlinear parameter optimization and modeling in R</a> <a href="files/tutorial_Nash_slides.pdf">[slides]</a></td></tr>
<tr> <td>Sproul-Landing building, 3rd floor</td> <td>Dirk Eddelbuettel</td> <td> <a href="files/tutorial_Dirk_abstract.pdf">An Example-Driven Hands-on Introduction to Rcpp</a> [<a href="http://dirk.eddelbuettel.com/papers/useR2014_tutorial.pdf">slides</a>] </td> </tr>
<tr> <td>Sproul-Landing building, 4th floor</td> <td>Ramnath Vaidyanathan</td> <td><a href="http://ramnathv.github.io/user2014-idocs/">Interactive Documents with R</a></td></tr>
<tr> <td>Sproul-Landing building, 5th floor</td> <td>Thomas Petzoldt</td> <td><a href="http://desolve.r-forge.r-project.org/user2014/">Simulating differential equation models in R</a></td></tr>
</tbody>
</table>
</section>
<section id="schedule">
<div class="page-header">
<h1>Schedule</h1>
</div>
<table class="table table-hover">
<thead>
<tr><th>Time</th><th>Event</th></tr>
</thead>
<tbody>
<thead>
<tr><th colspan="2">Monday, June 30</th></tr>
</thead>
<tr> <td>08:00 – 09:15</td><td>Conference Registration</td> </tr>
<tr> <td>09:15 – 12:45</td><td>Morning Tutorial Sessions (w/ 30 minute coffee break)</td> </tr>
<tr> <td>12:45 – 14:00</td><td>Lunch</td> </tr>
<tr> <td>14:00 – 17:30</td><td>Afternoon Tutorial Sessions (w/ 30 minute <strike>coffee</strike> bathroom break)</td> </tr>
<tr> <td>19:00 – 21:00</td><td>Conference Reception, balcony outside conference building.<br>
Wine and tasty dessert-type morsels (no full dinner)</td> </tr>
<thead>
<tr><th colspan="2">Tuesday, July 1</th></tr>
</thead>
<tr> <td>07:45 – 08:45 </td><td>Conference Registration</td> </tr>
<tr> <td>08:45 – 09:00</td><td>Introductory Remarks</td> </tr>
<tr> <td>09:00 – 09:50</td><td>Opening Keynote - <a href="#chambers">John Chambers</a> [<a href="files/chambers.pdf">slides</a>]</td> </tr>
<tr> <td>10:00 – 10:30 </td><td>Coffee Break</td> </tr>
<tr> <td>10:30 – 12:00</td><td>Contributed Talks - <a href="#Tuesday">Session 1</a></td> </tr>
<tr> <td>12:00 – 13:00</td><td>Lunch</td> </tr>
<tr> <td>13:00 – 14:30</td><td>Contributed Talks - <a href="#session2">Session 2</a></td> </tr>
<tr> <td>14:30 – 15:00</td><td>Coffee Break</td> </tr>
<tr> <td>15:00 – 16:00</td><td>Invited Talk - <a href="#maechler">Martin Maechler</a></td> </tr>
<tr> <td>16:00 – 17:30</td><td>Contributed Talks - <a href="#session3">Session 3</a></td> </tr>
<tr> <td>17:30 – 19:00</td><td><a href="#poster-schedule">Poster Session 1</a></td> </tr>
<tr> <td>18:30 – 21:00</td><td><a href="https://github.com/skoval/her2014">heR Panel Discussion and Mixer</a></td> </tr>
<tr> <td>18:30 – 21:00 </td><td><a href="#LARmeetupevent">LA R Meetup: Networking + R in Production Talk and Panel</a> (Palisades Ballroom)</td> </tr>
<thead>
<tr><th colspan="2">Wednesday, July 2</th></tr>
</thead>
<tr> <td>08:00 – 09:00 </td><td>Conference Registration</td> </tr>
<tr> <td>09:00 – 09:50</td><td>Invited Talk - <a href="#eddelbuettel">Dirk Eddelbuettel</a> [<a href="http://dirk.eddelbuettel.com/papers/useR2014_keynote.pdf">slides</a>]</td> </tr>
<tr> <td>10:00 – 10:30 </td><td>Coffee Break</td> </tr>
<tr> <td>10:30 – 11:00</td><td>Sponsors Talk [<a href="http://www.slideshare.net/RevolutionAnalytics/revolution-analytics-a-5minute-history">Revolution Analytics slides</a>]</td> </tr>
<tr> <td>11:30 – 13:00</td><td>Lunch</td> </tr>
<tr> <td>13:00 – 14:30</td><td>Contributed Talks - <a href="#Wednesday">Session 4</a></td> </tr>
<tr> <td>14:30 – 15:00</td><td>Coffee Break</td> </tr>
<tr> <td>15:00 – 16:00</td><td>Invited Talk - <a href="#diez">David Diez</a></td> </tr>
<tr> <td>16:00 – 17:30</td><td>Contributed Talks - <a href="#session5">Session 5</a></td> </tr>
<tr> <td>17:30 – 19:00</td><td><a href="#posters2">Poster Session 2</a></td> </tr>
<tr> <td>19:00 – 22:00 </td><td>Conference Dinner at <a href="https://www.google.com/maps/dir/Sproul+Hall,+De+Neve+Drive,+Los+Angeles,+CA/Easton+Dr,+Los+Angeles,+CA+90024/@34.0738585,-118.4501636,17z/am=t/data=!3m1!4b1!4m12!4m11!1m3!2m2!1d-118.4500171!2d34.0719348!1m5!1m1!1s0x80c2bc8d78fb7801:0x1f25dbfccd2b8479!2m2!1d-118.4511866!2d34.0749166!3e2">Sunset Canyon Recreation Center</a></td> </tr>
<thead>
<tr><th colspan="2">Thursday, July 3</th></tr>
</thead>
<tr> <td>09:00 – 10:00</td><td>Invited Talk - <a href="#soetaert">Karline Soetaert</a></td> </tr>
<tr> <td>10:00 – 11:30 </td><td>Contributed Talks - <a href="#Thursday">Session 6</a></td> </tr>
<tr> <td>11:45 – 12:30</td><td>Closing Keynote - <a href="#deleeuw">Jan de Leeuw</a></td> </tr>
<tr> <td>12:30 – 12:50</td><td>Closing Remarks</td> </tr>
</tbody>
</table>
<h3 id="Rooms">Session Overview</h3>
<table class="table table-hover">
<thead>
<tr><th></th><th>Kaleidoscope</th><th>Science</th><th>Business</th><th>Focus 1</th><th>Focus 2</th></tr>
<tr>
<th>Room</th><td><em><u>Palisades</u></em></td><td><em><u>Venice</u></em></td><td><em><u>Hermosa</u></em></td><td><em><u>Sproul-Landing 3th floor</u></em></td><td><em><u>Sproul-Landing 4th floor</u></em></td>
</tr>
</thead>
<tbody>
<tr><th>Session 1</th><td>Graphics</td><td>Bayesian</td><td>Finance</td><td>Graphics</td><td>Web Application</td></tr>
<tr><th>Session 2</th><td>Web/Integration</td><td>Vizualization</td><td>Finance</td><td>Teaching</td><td>Story</td></tr>
<tr><th>Session 3</th><td>Data Manipulation</td><td>Modeling</td><td>Web Apps</td><td>HPC</td><td>Time Series</td></tr>
<tr><th>Session 4</th><td>Performance</td><td>Misc</td><td>Modeling</td><td>Programming</td><td>Workflow</td></tr>
<tr><th>Session 5</th><td>Development</td><td>Biology/Ecology</td><td>Analytics</td><td>Testing</td><td>HPC</td></tr>
<tr><th>Session 6</th><td>Reporting</td><td>Biostat</td><td>Applications</td><td>Machine Learning</td><td>Spatial/Text</td></tr>
</tbody>
</table>
<h3 id="Tuesday">Session 1 <small>Tuesday, 10:30</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Track</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th rowspan="4"><div class="rotate">Kaleidoscope</div></th><td class="namecol">Winston Chang</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/74_Chang.pdf">ggvis: Interactive graphics in R</a> [<a href="http://bit.ly/1qgE8xU">slides and code</a>]</td></tr>
<tr><td>Ramnath Vaidyanathan</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/185_Vaidyanathan.pdf">Interactive Visualizations from R</a> [<a href="http://ramnathv.github.io/user2014-rcharts">slides</a>]</td></tr>
<tr><td>Chris Parmer</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/19_Parmer.pdf">Plotly: Collaborative R Plotting</a> (<a href="http://nbviewer.ipython.org/gist/mkcor/0ee7c73d9ba4c68ddc1a/">slides</a>)</td></tr>
<tr><td>Ganesh Subramaniam</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/216_Subramaniam.pdf">iwplot: An R Package for Creating web Based Interactive Graphics for Big Data</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Science</div></th><td>Roger Bivand</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/173_Bivand.pdf">Approximate Bayesian Inference for Spatial Econometrics with R-INLA</a></td></tr>
<tr><td>Thomas Jagger</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/17_Jagger.pdf">Integrating R-INLA with R Spatial Packages and ggplot</a></td></tr>
<tr><td>Robert Zinkov</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/41_Zinkov.pdf">Probabilistic Programming in R with Bruno</a></td></tr>
<tr><td>Christopher Paciorek</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/77_Paciorek.pdf">Beyond the black box: Flexible programming of hierarchical modeling algorithms for BUGS-compatible models using NIMBLE</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Business</div></th><td>Giuseppe Bruno</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/31_Bruno.pdf">Pricing Credit Derivatives with R</a></td></tr>
<tr><td>Ting Kam Leonard Wong</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/100_Wong.pdf">A new framework for portfolio management</a></td></tr>
<tr><td>Tobias Setz</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/197_Setz.pdf">BCP Stability Analytics and Markov Chain Monte Carlo</a></td></tr>
<tr><td>Diethelm Würtz</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/198_Wurtz.pdf">Don't Optimize! - Portfolios with Bayesian Change Point Analytics</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 1</div></th><td>Pravin Venugopal</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/52_Venugopal.pdf">muHVT : Computational Geometry for Visual Analytics</a></td></tr>
<tr><td>Kim Speerschneider</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/188_Speerschneider.pdf">Data Warehousing for Interactive Visualization of Student Data</a></td></tr>
<tr><td>Alexander Pilhofer</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/147_Pilhofer.pdf">Categorical Data Visualization Reordered</a></td></tr>
<tr><td>Heather Turner</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/60_Turner.pdf">Shiny Demos of Statistical Modelling</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 2</div></th><td>Erik Iverson</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/187_Iverson.pdf">Spyre: Exploratory Data Analysis in the Browser</a></td></tr>
<tr><td>Oliver Bracht</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/155_Bracht.pdf">translateR - A cloud based translator for SPSS and SAS Code</a> [<a href="http://user2014.stat.ucla.edu/files/eoda_translateR_Presentation_useR2014.pdf">slides</a>]</td></tr>
<tr><td>Jose M. Benitez</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/158_Benitez.pdf">R as a PaaS cloud computing service for Computational Intelligence tasks</a></td></tr>
<tr><td>E. James Harner</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/193_Harner.pdf">A Comparison of Rc2, RStudio, and RCloud</a></td></tr>
</tbody>
</table>
<h3 id="session2">Session 2 <small>Tuesday, 13:00</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Track</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th rowspan="4"><div class="rotate">Kaleidoscope</div></th><td class="namecol">Gordon Woodhull</td><td>RCloud - Integrating Exploratory Visualization, Analysis and Deployment</td></tr>
<tr><td>Jeroen Ooms</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/209_Ooms.pdf">The OpenCPU system: towards a universal interface for scientific computing</a> (<a href="http://www.youtube.com/watch?v=kAfVWxiZ-Cc">recording</a>) (<a href="http://jeroenooms.github.io/opencpu-slides/">slides</a>)</td></tr>
<tr><td>Joe Cheng</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/86_Cheng.pdf">Shiny: R made interactive</a> [<a href="http://rpubs.com/jcheng/useR-2014">slides</a>]</td></tr>
<tr><td>Karthik Ram</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/166_Ram.pdf">Fostering the next generation of open science with R</a> (<a href="http://karthik.github.io/useR2014/" title="useR 2014: Fostering the next generation of Open Science with R">slides</a>) </td></tr>
<tr><th rowspan="4"><div class="rotate">Science</div></th><td>Tracy Nance</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/93_Nance.pdf">Visualizing Diseased Transcriptomes with R</a></td></tr>
<tr><td>Tal Galili</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/95_Galili.pdf">dendextend: an R package for easier manipulation and visualization of dendrograms</a> [<a href="http://www.r-statistics.com/2014/07/the-dendextend-package-for-visualizing-and-comparing-trees-of-hierarchical-clusterings-slides-from-user2014/">slides</a>]</td></tr>
<tr><td>Yuna Blum</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/165_Blum.pdf">The R package FANet: sparse Factor Analysis model for high dimensional gene co-expression Networks</a></td></tr>
<tr><td>Vik Gopal</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/122_Gopal.pdf">popKorn: An R package for inference on selected populations</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Business</div></th><td>Kam Hamidieh</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/23_Hamidieh.pdf">Recovering Risk Neutral Density from Options Using RND Package</a></td></tr>
<tr><td>David Ardia</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/27_Ardia.pdf">The peer performance of hedge funds</a></td></tr>
<tr><td>Ken Yale</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/102_Yale.pdf">R For Improving Consumer Engagement and Health Outcomes</a> (<a href="http://go.activehealth.com/RUserConference.html">slides</a>)</td></tr>
<tr><td><strike>Fumiyo Kondo</strike></td><td><strike><a href="http://user2014.stat.ucla.edu/abstracts/talks/132_Kondo.pdf">Hierarchical Bayesian Estimation - Consumers’ Change in Recognition and Behavior toward Advertisements by Elaboration Likelihood Model</a></strike></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 1</div></th><td>Rasmus Baath</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/32_Baath.pdf">Bayesian First Aid: A Package that Implements Bayesian Alternatives to the Classical *.test Functions in R</a> (<a href="http://www.sumsar.net/files/academia/UseR2014_Bayesian_First_Aid.pdf">slides</a>)</td></tr>
<tr><td>Nicholas Reich</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/107_Reich.pdf">statsTeachR.org: A New Framework for Collaborative, Open-Access Curriculum Development</a></td></tr>
<tr><td>Jonathan Cornelissen</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/139_Cornelissen.pdf">DataCamp: online interactive learning platform for R</a></td></tr>
<tr><td>Amelia McNamara</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/228_Mcnamara.pdf">Teaching R to high school students (and teachers) </a>[<a href="files/talk_McNamaraMolyneux.html">slides</a>]</td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 2</div></th><td>Gabriela de Queiroz</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/192_DeQueiroz.pdf">Creating a network of women R-users</a></td></tr>
<tr><td>A. Jonathan R. Godfrey</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/179_Godfrey.pdf">Practical use of R by blind People</a></td></tr>
<tr><td>Adi Tarca</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/227_Tarca.pdf">A teams story in the IMPROVER Species Translation Challenge</a></td></tr>
<tr><td>Xavier Conort</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/89_Conort.pdf">10 R packages to win Kaggle competitions</a></td></tr>
</tbody>
</table>
<h3 id="session3">Session 3 <small>Tuesday, 16:00</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Track</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th rowspan="4"><div class="rotate">Kaleidoscope</div></th><td class="namecol">Hadley Wickham</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/45_Wickham.pdf">dplyr: a grammar of data manipulation</a></td></tr>
<tr><td>Matt Dowle</td><td>data.table : fast and flexible data manipulation
<a href="http://user2014.stat.ucla.edu/abstracts/talks/169_Dowle.pdf">[Abstract]</a>
<a href="files/talk_Matt.pdf"> [Talk]</a>
<a href="files/tutorial_Matt.pdf">[Tutorial]</a></td></tr>
<tr><td>Antonio Piccolboni</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/103_Piccolboni.pdf">Plyrmr: a data manipulation DSL for big data</a></td></tr>
<tr><td>Helena Kotthaus</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/69_Kotthaus.pdf">Performance Analysis for R: Towards a Faster R Interpreter</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Science</div></th><td>Andreas Alfons</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/96_Alfons.pdf">Robust model selection: New developments in the R package robustHD</a></td></tr>
<tr><td>John Fox</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/13_Fox.pdf">Visualizing Lack of Fit in Complex Regression Models: Adding Partial Residuals to Effect Displays</a></td></tr>
<tr><td>Norm Matloff</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/101_Matloff.pdf">Regression Fit Diagnostics Using freqparcoord</a></td></tr>
<tr><td>Katrin Grimm</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/53_Grimm.pdf">Scagnostics</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Business</div></th><td>Mark Hornick</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/36_Hornick.pdf">Massive Predictive Modeling</a></td></tr>
<tr><td>Mark Seligman</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/141_Seligman.pdf">The Arborist: a Scalable Decision Tree Implementation </a> (<a href="http://user2014.stat.ucla.edu/files/Seligman_useR2014.pdf">slides</a>)</td></tr>
<tr><td>Tridivesh Jena</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/112_Jena.pdf">Representing Model Ensembles in PMML</a></td></tr>
<tr><td>Hai Qian</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/194_Qian.pdf">PivotalR: A Package for Machine Learning on Big Data</a><br>
[<a href="files/PivotalR_user2014/userR2014_PivotalR.pdf">slides</a> |
<a href="files/PivotalR_user2014/demo_useR.R">demo_useR.R</a> |
<a href="files/PivotalR_user2014/demo_hackday.R">demo_hackday.R</a>]</td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 1</div></th><td>Romain Francois</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/126_Francois.pdf">Rcpp11</a> [<a href="http://fr.slideshare.net/romainfrancois/rcpp11-use-r">slides</a>]</td></tr>
<tr> <td>Dirk Eddelbuettel</td> <td><a href="http://user2014.stat.ucla.edu/abstracts/talks/903_Eddelbuettel.pdf">RcppZiggurat: Faster Random Normal Draws</a> [<a href="http://dirk.eddelbuettel.com/papers/useR2014_rcppziggurat.pdf">slides</a>] </td> </tr>
<tr><td>Eilidh Troup</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/128_Troup.pdf">Using SPRINT and parallelised functions for analysis of large data on multi-core Mac and HPC platforms </a>[<a href="files/useR2014_sprint.pdf">slides</a>]</td></tr>
<tr><td>Thomas Petzoldt</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/195_Petzoldt.pdf">Swimming in clear lakes: How model coupling with R helps to improve water quality</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 2</div></th><td>William Dunsmuir</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/97_Dunsmuir.pdf">GLARMA Models and the glarma Package</a></td></tr>
<tr><td>Tomoaki Nakatani</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/116_Nakatani.pdf">Handling conditional correlation GARCH models with the ccgarch2 package</a></td></tr>
<tr><td>Rune Juhl</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/154_Juhl.pdf">ctsmr package - Continuous Time Stochastic Modelling in R</a></td></tr>
<tr><td>Aran Lunzer</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/225_Lunzer.pdf">LivelyR: Making R charts livelier</a> [<a href="http://vimeo.com/93535802">video]</td></tr>
</tbody>
</table>
<h3 id="Wednesday">Session 4 <small>Wednesday, 13:00</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Track</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th rowspan="4"><div class="rotate">Kaleidoscope</div></th><td class="namecol">Thomas Fuchs</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/232_Fuchs.pdf">R in the Midst of Exploding Stars: Distributed, Time-Domain Transient Classification</a></td></tr>
<tr><td>Norm Matloff</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/57_Matloff.pdf">An R Package for Parallel Matrix Powers</a></td></tr>
<tr><td>Joseph Rickert</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/91_Rickert.pdf">Generalized Linear Models on Large Data Sets</a></td></tr>
<tr><td>Max Kuhn</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/14_Kuhn.pdf">Adaptive Resampling in a Parallel World</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Science</div></th><td>Yukiko Kurihara</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/64_Kurihara.pdf">Selection Effects of Common Variables on Statistical Matching</a></td></tr>
<tr><td>Matthias Templ</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/200_Templ.pdf">Imputation of Missing Values with the R Package VIM</a></td></tr>
<tr><td>Jason Bryer</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/59_Bryer.pdf">PSAboot: An R Package for Bootstrapping Propensity Score Analysis</a></td></tr>
<tr><td>Patrick Mair</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/124_Mair.pdf">Permutation Tests in Multidimensional Scaling</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Business</div></th><td>Dan Putler</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/79_Putler.pdf">Creating R-Based Web Browser Applications Using Alteryx</a></td></tr>
<tr><td>Aaron Horowitz</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/131_Horowitz.pdf">Rapid Prototyping With R/Shiny at McKinsey: A New Way of Delivering Value for Our Clients</a></td></tr>
<tr><td>Bhaskar Rao</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/191_Rao.pdf">ETD: A Design Pattern for Building Web-Based Analytics Dashboards in R</a> (<a href="http://user2014.stat.ucla.edu/files/etd_useR_la4.pdf">slides</a>)</td></tr>
<tr><td>Nilesh Shah</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/210_Shah.pdf">A real time, responsive Quantitative trading analysis Mobile App using r</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 1</div></th><td>John Fox</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/12_Fox.pdf">Version 2 of the R Commander</a></td></tr>
<tr><td>Edwin de Jonge</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/99_DeJonge.pdf">docopt, add beautiful command line options to R scripts</a> [<a href="http://www.slideshare.net/EdwindeJonge1/docopt-user2014">slides</a>]</td></tr>
<tr><td>Colin Goodall</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/178_Goodall.pdf">Why I heart (not) parentheses, a journeyman's toolkit path from S to R</a></td></tr>
<tr><td>Robert Muenchen</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/21_Muenchen.pdf">How Popular is R?</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 2</div></th><td>Mark van der Loo</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/123_VanDerLoo.pdf">Approximate text matching with the stringdist package</a> (<a href="http://www.markvanderloo.eu/files/statistics/stringdist_useR2014.pdf">slides</a>)</td></tr>
<tr><td>Ryota Suzuki</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/65_Suzuki.pdf">R AnalyticFlow 3: An Environment for Data Analysis with R</a></td></tr>
<tr><td>David Gohel</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/212_Gohel.pdf">An R package for creating Microsoft Word, Power Point and HTML documents</a> [<a href="http://davidgohel.github.io/useR2014/index.html">slides and demo</a>]</td></tr>
<tr><td>Stan Pounds</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/217_Pounds.pdf">rctrack: An R that Package Automatically Collects and Archives Details for Reproducible Computing</a></td></tr>
</tbody>
</table>
<h3 id="session5">Session 5 <small>Wednesday, 16.00</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Track</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th rowspan="4"><div class="rotate">Kaleidoscope</div></th><td class="namecol">David Smith</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/223_Smith.pdf">R and Reproducibility: a Proposal</a> [<a href="http://www.slideshare.net/RevolutionAnalytics/r-reproducibility">slides</a>]</td></tr>
<tr><td>J.J. Allaire</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/901_Allaire.pdf">Packrat - A Dependency Management System for R</a></td></tr>
<tr><td>Andy Nicholls</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/72_Gott.pdf">This code is a complete hack, may or may not work, etc.. - The Challenges of Validating R</a></td></tr>
<tr><td>Andy Chen</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/224_Chen.pdf">RLint: Reformatting R Code to Follow the Google Style Guide</a> (<a href="http://user2014.stat.ucla.edu/files/RLint_R_User_Conference_20140702_1.pdf">slides</a>)</td></tr>
<tr><th rowspan="4"><div class="rotate">Science</div></th><td>Henry Bongiovi</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/167_Bongiovi.pdf">Simulating Influenza Transmission with Real Network Data</a></td></tr>
<tr><td>Benjamin Nutter</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/20_Nutter.pdf">Enhancing Medical Reporting by Combining Electronic Health Records with REDCap: Applications of the REDCap API</a></td></tr>
<tr><td>Paul Schuette</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/34_Schuette.pdf">Simulations for regulatory decision making: How many simulations do we need to run?</a></td></tr>
<tr><td>A. Jonathan R. Godfrey</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/164_Godfrey.pdf">Monitoring Patients with Ongoing Reduced Kidney Function</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Business</div></th><td>Louis Bajuk-Yorgan</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/54_Bajuk-Yorgan.pdf">Deploying R into Business Intelligence and Real-time Applications</a> [<a href="http://www.slideshare.net/loubajukyorgan/terr-extend-reach-of-r-july-2014-use-r">slides</a>]</td></tr>
<tr><td>Nick Elprin</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/61_Elprin.pdf">Domino: A Platform-as-a-Service for Industrialized Data Analysis</a></td></tr>
<tr><td>Takekatsu Hiramura</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/137_Hiramura.pdf">RForcecom: an R package which provides a connection to Force.com and Salesforce.com</a></td></tr>
<tr><td>Yeng Bun</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/221_Bun.pdf">Zillow's Big Data and Real-time Services in R</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 1</div></th><td>Jean-Michel Perraud</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/119_Perraud.pdf">Generating R reference classes in rClr with software reflection</a></td></tr>
<tr><td>Malick Claes</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/105_Claes.pdf">Beyond R CMD check: Helping R developers to detect CRAN package conflicts</a></td></tr>
<tr><td>Roman Tsegelskyi</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/129_Tsegelskyi.pdf">TestR: generating unit tests for R internals</a> [<a href="http://www.slideshare.net/romantsegelskyi/presentation-36655519">slides</a>]</td></tr>
<tr><td>Jonathan McPherson</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/80_Mcpherson.pdf">Talk: Debugging in R</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 2</div></th><td>Kazutaka Doi</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/49_Doi.pdf">The Cutil Package for GPU-Accelerated Computing</a></td></tr>
<tr><td>Julian Waton</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/160_Waton.pdf">waveCUDA: an R package for performing CUDA-accelerated wavelet analysis</a></td></tr>
<tr><td>Talita Perciano</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/207_Perciano.pdf">Image analysis and statistics: an introduction using R and RIPA</a> [<a href="http://www.slideshare.net/talitaperciano/user-perciano?utm_source=ss&utm_medium=upload&utm_campaign=quick-view">slides</a>]</td></tr>
<tr><td>Rune Christensen</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/125_Christensen.pdf">Sensory discrimination testing with the sensR package</a></td></tr>
</tbody>
</table>
<h3 id="Thursday">Session 6 <small>Thursday, 10:00</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Track</th><th>Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th rowspan="4"><div class="rotate">Kaleidoscope</div></th><td class="namecol">Jeff Allen</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/902_Allen.pdf">The Next Generation of R Markdown</a> [<a href="http://rpubs.com/trestletech/usermd">slides</a>]</td></tr>
<tr><td>Gergely Daroczi</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/135_Daroczi.pdf">rapport: a report templating system in R</a> (<a href="http://www.scribd.com/doc/232517366/rapport-a-report-templating-system-in-R">slides</a>)</td></tr>
<tr><td>Yihui Xie</td><td>Knitr Ninja <a href="http://user2014.stat.ucla.edu/abstracts/talks/150_Xie.pdf">[Abstract]</a> <a href="https://github.com/yihui/knitr-talks/tree/master/useR2014">[Slides]</a></td></tr>
<tr><td>Garrett Grolemund</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/30_Grolemund.pdf">Embedding Shiny Apps in R Markdown documents</a> [<a href="https://dl.dropboxusercontent.com/u/5896466/useR-Rmarkdown-shiny.pdf">slides</a>]</td></tr>
<tr><th rowspan="4"><div class="rotate">Science</div></th><td>Luca Tardella</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/206_AlunniFegatelli.pdf">BBRecapture for capture-recapture data modelling with behavioural effects</a></td></tr>
<tr><td>John
Ehrlinger</td><td><a
href="http://user2014.stat.ucla.edu/abstracts/talks/75_Ehrlinger.pdf">Visually
Exploring
Random
Forests
with ggRandomForests</a>
[<a href="https://github.com/ehrlinger/ggRandomForests/raw/master/inst/doc/useR2014.pdf">slides</a>]</td></tr>
<tr><td>Denes Toth</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/39_Toth.pdf">eegR: an R package to analyze electrophysiological (EEG) signals</a></td></tr>
<tr><td>David Causeur</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/71_Causeur.pdf">ERP: a R package for Event-Related Potentials data analysis</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Business</div></th><td>Pramod Kunju</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/120_Kunju.pdf">Insurance industry churn</a></td></tr>
<tr><td>Zhengying(Doro) Lou</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/140_Lou.pdf">Automated Business Reporting with R</a></td></tr>
<tr><td>Jean-Francois Collin</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/196_Collin_Revised.pdf">An R tools platform in Cosmetic Industry</a></td></tr>
<tr><td>Stephen Kaluzny</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/180_Kaluzny.pdf">Software Testing and the R Language</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 1</div></th><td>Michel Lang</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/168_Lang.pdf">Package mlr: Machine Learning in R</a></td></tr>
<tr><td>Thomas Fuchs</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/231_Fuchs.pdf">Computer Vision in R: Enabling Flyby Science at Comets and Asteroids</a></td></tr>
<tr><td>Emeline Perthame</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/68_Perthame.pdf">FADA: an R package for variable selection in supervised classification of strongly dependent data</a></td></tr>
<tr><td>Erin LeDell</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/111_Ledell.pdf">subsemble: Ensemble learning in R with the Subsemble algorithm</a></td></tr>
<tr><th rowspan="4"><div class="rotate">Focus 2</div></th><td>Jan-Philipp Kolb</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/162_Kolb.pdf">Opportunities through the use of Open-Street-Map data in social sciences</a></td></tr>
<tr><td>Irene Garcia-Checa</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/176_Garcia-Checa.pdf">Spatial Tweetstistics with R: Geographical Distribution of English Loan Words in Spanish Tweets</a></td></tr>
<tr><td>Stefan Th. Gries</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/56_Gries.pdf">Text processing with R: exact.matches and other functions</a></td></tr>
<tr></th><td>Susie Jentoft</td><td><a href="http://user2014.stat.ucla.edu/abstracts/talks/29_Jentoft.pdf">Working with R and SAS: Some initial experiences from Statistics Norway</a></td></tr>
</tbody>
</table>
<h3 id="poster-schedule">Posters 1 <small>Tuesday, 17:30</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Number</th><th class="namecol">Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th>1</th><td> Sebastian Kreutzer </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/10_Kreutzer.pdf">Investigating cold light: The R package Luminescence - signal, statistics and dating of environmental dynamics</a> </td></tr>
<tr><th>2</th><td> Samuel Ackerman </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/11_Ackerman.pdf">mapStats: An R package for geographic visualization of survey statistics</a> </td></tr>
<!-- <tr><td> Neal Fultz </td><td> Logic Programming in R using FactsRules </td></tr> dropped -->
<tr><th>3</th><td> Michael Dietze </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/16_Dietze.pdf">EMMAgeo end-member modelling analysis of grain-size data</a> </td></tr>
<tr><th>4</th><td> Tim Hesterberg </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/22_Hesterberg.pdf">Resample package</a> </td></tr>
<tr><th>5</th><td> Jo-fai Chow </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/24_Chow.pdf">Exploring Different Options for Interactive Spatial Data Visualization in R: Case Studies based on Crime Data in UK</a>
[<a href="https://github.com/woobe/useR_2014/blob/master/poster/poster_useR_2014_A0_jofaichow.pdf">Poster</a>]
(<a href="https://blenditbayes.shinyapps.io/crimemap/">CrimeMap</a>)
(<a href="https://github.com/woobe/rCrimemap">rCrimemap</a>)
</td></tr>
<tr><th>6</th><td> Stephanie Kovalchik </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/26_Kovalchik.pdf">Package ATPR for Statistical Analyses of Men's Professional Tennis</a> </td></tr>
<tr><th>7</th><td> Ari Lamstein </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/33_Lamstein.pdf">The choroplethr package</a> </td></tr>
<tr><th>8</th><td> Xing Li </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/35_Li.pdf">Rcircle: an R package for Integrating and Visualizing multiple "-omics" data for Knowledge Discovery</a> </td></tr>
<tr><th>9</th><td> Paolo Giordani </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/37_Giordani.pdf">The R Package ThreeWay For Three-Way Component Analysis</a> </td></tr>
<tr><th>10</th><td> Jinseob Kim </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/38_Kim.pdf">Reproducible Research in Public Health</a> </td></tr>
<tr><th>11</th><td> Ki-Yeol Kim </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/40_Kim.pdf">The identification of combined genomic expressions as a diagnostic factor for oral squamous cell carcinoma</a> </td></tr>
<tr><th>12</th><td> Masayuki Jimichi </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/48_Jimichi.pdf">Visualization and Statistical Modeling of Financial Data with R</a> </td></tr>
<tr><th>13</th><td> Xinxing Li </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/51_Li.pdf">Robust Linear Modeling using the Hyperbolic Distribution</a> </td></tr>
<tr><th>14</th><td> Marie Vendettuoli </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/55_Vendettuoli.pdf">Extending the useR community: developing Shiny applications and interactive graphics at USDA APHIS</a> </td></tr>
<tr><th>15</th><td> Michael Sannella </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/62_Sannella.pdf">The Compatibility Challenge: Examining R and Developing TERR</a> </td></tr>
<tr><th>16</th><td> Jimmy Oh </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/63_Oh.pdf">Interactive Prototyping of Statistical Graphics with WeBIPP</a> </td></tr>
<tr><th>17</th><td> Przemyslaw Biecek </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/67_Biecek.pdf">How to load and what to do with the PISA data (Program for International Student Assessment)</a> </td></tr>
<tr><th>18</th><td> Charles Broderick </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/70_Broderick.pdf">Use of Classification Trees for Prediction of Violence</a> </td></tr>
<tr><th>19</th><td> Carlos Cinelli </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/73_Cinelli.pdf">Using R for official statistics: Census of Foreign Capital in Brazil</a> </td></tr>
<tr><th>20</th><td> Bryan Stanfill </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/94_Stanfill.pdf">Extending Agriculture Simulator Capabilities with R</a> </td></tr>
<tr><th>21</th><td> ChungHa Sung </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/98_Sung.pdf">RIGHT: an HTML canvas and JavaScript-based interactive data visualization package for linked graphics</a> </td></tr>
<tr><th>22</th><td> Conor McManus </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/106_Mcmanus.pdf">unmixR: Hyperspectral Unmixing in R</a> </td></tr>
<tr><th>23</th><td> Alon Friedman </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/109_Friedman.pdf">Learning R: Needs Analysis, Learning Taxonomies, Methodology, and Visualization</a> </td></tr>
<tr><th>24</th><td> Fernando Marques </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/110_Marques.pdf">EpiDynamics 0.1: Dynamic Models in Epidemiology</a> </td></tr>
<tr><th>25</th><td> Tridivesh Jena </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/113_Jena.pdf">The PMMLTransformations package</a> </td></tr>
<tr><th>26</th><td> Scott Porter </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/114_Porter.pdf">And you want to interact with it using a spreadsheet? Simple connections between R and Microsoft Excel</a> </td></tr>
<tr><th>27</th><td> MIchael Haupt </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/115_Haupt.pdf">Faster FastR through Partial Evaluation and Compilation</a> </td></tr>
<tr><th>28</th><td> Frederic Bertrand </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/177_Bertrand.pdf">plsRcox, Cox-Models in a high dimensional setting in R</a> </td></tr>
</tbody>
</table>
<h3 id="posters2">Posters 2 <small>Wednesday, 17:30</small></h3>
<table class="table table-hover">
<thead>
<tr><th>Number</th><th class="namecol">Presenter</th><th>Title</th></tr>
</thead>
<tbody>
<tr><th>1</th><td> Yasuto Nakato </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/127_Nakano.pdf">An Integrated Environment for Social Research Analysis</a> </td></tr>
<tr><th>2</th><td> Edwin de Jonge </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/130_De%20Jonge.pdf">lsh, nearest neighbor search in high dimensions</a> </td></tr>
<tr><th>3</th><td> R Scott Hacker </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/134_Hacker.pdf">Hansel: An Econometrics Plug-In for Deducer</a> </td></tr>
<tr><th>4</th><td> Gergely Daroczi </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/136_Daroczi.pdf">R users all around the world</a> (<a href="http://www.scribd.com/doc/232414354/R-users-all-around-the-world">poster</a>)</td></tr>
<tr><th>5</th><td> Takekatsu Hiramura </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/138_Hiramura.pdf">SeekR: A Search Engine for R users</a> </td></tr>
<tr><th>6</th><td> Joan Vila </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/142_Vila.pdf">Shiny-ing compareGroups</a> </td></tr>
<tr><th>7</th><td> Oswaldo Santos </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/143_Santos.pdf">capm 0.4: an R package for Companion Animal Population Management</a> </td></tr>
<tr><th>8</th><td> Dieter De Mesmaeker </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/146_De%20Mesmaeker.pdf">Rdocumentation.org: online documentation for all R packages</a> </td></tr>
<tr><th>9</th><td> Olga Ivina </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/149_Ivina.pdf">A land-use regression-based confidence predictor for modeling of Munich air pollution data</a> </td></tr>
<tr><th>10</th><td> Eric Kramer </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/152_Kramer.pdf">Running R with 120 threads on the Intel Xeon E7-4870 v2</a> </td></tr>
<tr><th>11</th><td> Christian Gonzalez </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/159_Gonzalez.pdf">Data Works: An Interactive Data Visualization Application Built with Shiny</a> </td></tr>
<tr><th>12</th><td> Scott Gillespie </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/161_Gillespie.pdf">Multi-center Clinical trials reporting with R</a> </td></tr>
<tr><th>13</th><td> Jeanny Wang </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/163_Wang.pdf">R graphics in Tidal Wetland Restoration</a> </td></tr>
<tr><th>14</th><td> Jacob Quartuccio </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/171_Quartuccio.pdf">Statistics without Numbers: Using Data Visualization to Quantify Trends for Cycling Safety</a> </td></tr>
<tr><th>15</th><td> Frederic Bertrand </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/172_Bertrand.pdf">plsRglm, PLS generalized linear models for R</a> </td></tr>
<tr><th>16</th><td> Jimmy Wong </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/174_Wong.pdf">Visually Analyzing and Running Multilevel Data in R and BUGS</a> </td></tr>
<tr><th>17</th><td> Scott Porter </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/117_Porter.pdf">Using RGraphviz as a first pass for layout of small structural model graphs</a> </td></tr>
<tr><th>18</th><td> Myriam Maumy-Bertrand </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/181_Jung.pdf">Cascade: a R-package to study, predict and simulate the diffusion of a signal through a temporal gene network.</a> </td></tr>
<tr><th>19</th><td> Mine Cetinkaya-Rundel </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/182_Cetinkaya-Rundel.pdf">Teaching data analysis in R through the lens of reproducibility</a> [<a href="https://www.dropbox.com/s/te7o3h6ypi3ejhu/user2014_reproduce_poster.pdf">poster</a>]</td></tr>
<tr><th>20</th><td> Drew Schmidt </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/183_Schmidt.pdf">Distributed Matrix Exponentiation in R</a> </td></tr>
<tr><th>21</th><td> Md Abdul Halim </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/186_Halim.pdf">Quantitative Tools for Modeling Coarse Woody Debris Dynamics</a> </td></tr>
<tr><th>22</th><td> Sandra Griffith </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/189_Griffith.pdf">Developing shiny applications for the classroom</a> </td></tr>
<tr><th>23</th><td> Nora M. Villanueva </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/199_M.%20Villanueva.pdf">seq2R: Analyzing compositional asymmetries in DNA</a> </td></tr>
<tr><th>24</th><td> Marta Sestelo </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/203_Sestelo.pdf">Detecting critical points of regression curves. An application to the management of aquatic living resources</a> </td></tr>
<tr><th>25</th><td> Kevin Wright </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/204_Wright.pdf">The agridat package is growing</a> </td></tr>
<tr><th>26</th><td> Daniel Dekic </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/208_Dekic.pdf">Better Data Quality In Clinical Trials</a> </td></tr>
<tr><th>27</th><td> Alex Zolotovitski </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/222_Zolotovitski.pdf">R Work Journal</a> </td></tr>
<tr><th>28</th><td> Hilary Parker </td><td> <a href="http://user2014.stat.ucla.edu/abstracts/posters/Parker.pdf">Testdat</a> (<a href="http://www.slideshare.net/hilaryparker/2014-0701-use-r-poster-37928742">poster</a>)</td></tr>
</tbody>
</table>
</section>
<section id="social">
<div class="page-header">
<h1>Social Program</h1>
</div>
<p>The opening evening of the Conference, June 30, will feature an outdoor wine and hors d'oeuvres <i>reception</i>. This is your opportunity to mingle with with be a very broad international representation of R users of all stripes and sizes and to meet the conference speakers and members of the Program Committee and Organizing Committee for one-on-one conversation. There is no additional charge for this reception though you must be registered to be admitted. </p>
<p>The <i>Conference Banquet</i> is scheduled for the evening of July 2. It will be an outdoor catered event within close walking distance of the Conference Center. This event has an additional charge for each attendee in addition to the Conference registration fees, but is open to family members and children. More details about this Banquet, and the menu, will be posted here shortly.</p>
<p><i>If</i> you have an interest in hosting a particular social event during the Conference, kindly contact the Organizing Committee with details at dmca[at]ucla.edu as soon as possible. We will attempt to accommodate all requests, though certain restrictions apply. Each event will be described in this space as they are confirmed. Do watch this space closely.</p>
<a id="LARmeetupevent"></a>
<h3>LA R meetup: R’s Place in the Production Environment</h3>
<p>A joint event of the <a href="http://www.meetup.com/LA-RUG">LA R meetup</a> and the useR! 2014 conference will be held on July 1st <b>in the Palisades Ballroom</b> evening with food, networking, a talk and a panel. We'd like to bring together the LA and worldwide R community in this event free for everyone to attend. Those not attending the conference have to <a href="http://www.eventbrite.com/e/la-r-meetup-user-2014-conference-rs-place-in-the-production-environment-registration-11907998143?aff=useRweb">register here</a>. (Venue and parking information for non-conference attendees are also included there.)</p>
<p>Thanks to the growing business importance of data analysis, R is finding a niche in the software production environment. But this role is not without its challenges. We are a panel of industry experts using R in production. We will give an overview of how R fits in at our companies, highlight key tools, and identify the gaps in the platform. The format will be a 20 minute overview talk followed by a moderated panel Q&A.</p>
<p><strong>Timeline:</strong><br>
6:30-7:30pm: food and networking<br>
7:30-9:00pm: introduction, opening talk, panel</p>
<p>LA R meetup and useR! 2014 host: <a href="http://www.linkedin.com/in/szilard">Szilárd Pafka</a>, Chief Scientist, Epoch</p>
<p>Opening remarks: Yasmin Lucero, Senior Statistician, Gravity-AOL</p>
<p>Panel moderator: Tareef Kawaf, President, RStudio.com</p>
<p>Panelists:<br>
Pete Meyer, Senior Ads Quality Statistician, Google<br>
Alex Toth, Operations Engineer, Gravity-AOL<br>
Ajay Gopal, Director of Data Science and Analytics, CARD.com<br>
Vladimir Ryzhov, Game Analyst, Activision<br>
Hilary Parker, Data Analyst, Etsy</p>
<p>Audience moderator: Irina Kukuyeva, Senior Biostatistician, Virtual PICU Systems</p>
<p><strong>Sponsors:</strong><br>
We'd like to thank our sponsors:<br>
<a href="https://www.card.com/useR-2014"><img src="images/cardLogo-horizontal-rgb.png" style="margin: 10px; height:50px;"></a>
<a href="http://www.gravity.com"><img src="images/GravityLogo.png" style="margin: 10px; height:90px;"></a></p>
<a id="heR"></a>
<div id="header">
<h1 class="title">A Conversation about R’s Gender Gap: The useR! her Panel</h1>
<p>Summary by: Stephanie A. Kovalchik, <a href="mailto:[email protected]">[email protected]</a></p>
</div>
<p>At this year’s <a href="http://user2014.stat.ucla.edu">useR! R Conference</a> at the the University of California’s lovely Los Angeles campus, for the first time in the conference’s history, an event was held focusing on the shortage of women in the R community. The <strong>her panel</strong> was organized by myself and Gabriela de Quieroz, <a href="http://www.meetup.com/R-ladies/member/14534094/">founder of R-ladies</a>, and included an impressive group of 5 female developers:</p>
<ul>
<li><a href="http://www.heatherturner.net">Heather Turner</a>, Statistical consultant and co-author of the <a href="http://www.heatherturner.net/r-packages.html">gnm and gslcca</a> packages</li>
<li><a href="http://www.nioz.nl/staff-detail?id=784400">Karline Soetaert</a>, Head of the Department of Ecosystem Studies, Royal Netherlands Institute of Sea Research and author of packages <a href="http://cran.r-project.org/web/packages/deSolve/index.html">deSolve</a> and <a href="http://cran.r-project.org/web/packages/FME/index.html">FME</a></li>
<li><a href="http://www.stat.ucla.edu/~amelia.mcnamara/">Amelia Mcnamara</a>, PhD candidate in Statistics, UCLA</li>
<li><a href="https://www.linkedin.com/in/shangxuanzhang">Vivian Shangxuan Zhang</a>, CTO/Co-Founder of SupStat Inc, Founder of NYC Data Science Academy</li>
<li><a href="http://www.meetup.com/R-ladies/member/14534094/">Gabriela Queiroz</a>, Founder of R-ladies & Data Scientist at Alpine Data Labs</li>
</ul>
<center>
<img src="images/panel.png" alt="panel" style="margin: 10px; height:350px;" />
<p><b>Panel Discussants</b> (From left to right): Karline Soetaert, Heather Turner, Vivian Zhang, Amelia Mcnamara, Gabriela Queiroz</p>
</center>
<p>The panel discussed a number of challenging questions before a packed audience of male and female useRs. Multiple views from the panel and audience were shared. In case you missed the conversation, I wanted to summarize some of the major take-aways.</p>
<p><strong>R’s gender gap</strong>. The panel opened with a discussion of attempts Karline and I independently made to understand the percentage of women who are actively authoring R packages. Our estimates suggest that 10-15% of current packages on CRAN have been written by women (see the Figure below). It was less clear how many women are users of R, and there was a general call for research to get more accurate statistics on R’s gender gap.</p>
<center>
<img src="images/women_represent.png" alt="women-represent" style="margin: 10px; height:400px;" />
</center>
<p>Tim Hesterberg described a study Google conducted to understand possible barriers to women writing software. The findings were recently published as a report entitled <a href="www.google.com/edu/pdf/women-who-choose-what-really.pdf">Women Who Choose Computer Science–What Really Matters?</a> That report identified 1) social encouragement, 2) self perception, 3) academic exposure, and 4) career perception as the key controllable factors influencing women’s choice of a career in computer science. It would be important to determine if and how these same factors influence women’s contributions to R.</p>
<p><strong>Which disciplines populate the R community?</strong> The panel discussed the divide between the representation of women in statistical/biostatistical fields–where women are roughly equally represented in graduate programs, for example–and the R community. However, some argued that many R users come from computer science, business, and the physical sciences, where the gender imbalance may be comparable to the imbalance in the R community. To better understand in which fields female R users may be underrepresented, there is a need for statistics on the age and disciplines of useRs.</p>
<p><strong>Community.</strong> All of the panelists agreed that R’s passionate and dedicated community is one of the things they love about the language. Having more efforts to connect with other R users could therefore be an important way to encourage women’s greater involvement in the community.</p>
<p><strong>Narrowing the gender gap.</strong> There were two major strategies that the panelists and attendees identified to narrow R’s gender gap. First, the promotion and advertisement of the R software being developed by women. Second, more efforts to get women to develop R packages. Second, the creation of more opportunities for women to learn, use, and develop R. The panelists cited examples like R-ladies and the <a href="http://ropensci.github.io/hackathon/">rOpenSci hackathon’s</a> recruitment efforts as examples of initiatives that have helped women programmers to get more involved in the R community.</p>
<p>We hope that the <i>her panel</i> is a catalyst for additional community-wide efforts to encourage more women to contribute high-quality developments in R.</p>
<p>Growth on CRAN has historically followed an exponential rate of roughly <a href="http://blog.revolutionanalytics.com/2010/01/r-package-growth.html">40% per year</a>. We think women programmers can do better, and we want to make it our goal to see female-authored packages grow <u><strong>50% by useR! 2015</strong></u>.</p>
<p>We would like to thank our generous sponsors for their support of this event.
<img src="http://www.revolutionanalytics.com/sites/all/themes/rva_theme/img/logo.png" width="200px" height="100px" />
<img src="http://upload.wikimedia.org/wikipedia/en/a/a2/Rand-logo.PNG" width="100px" height="100px" />
</p>
<h3>Dining in Los Angeles</h3>
<p>The number of full service restaurants in the Los Angeles area is close to 10,000, representing many hundreds of different food styles. Regrettably, you probably won’t have enough time to savor them all. If you’re interested in sampling something you’ve never had the opportunity to sample before or just missing your favorite dish, it is highly likely that a particular gastronomic fare will be available somewhere in the area. There are many internet resources providing detailed advice on this matter, often with exact menus, prices and photos: search the keyword phrase “Los Angeles restaurant guide” for starters. </p>
<h3>Major attractions for the family</h3>
<p>Los Angeles is world-renowned for its wealth of entertainment. This website cannot begin to do justice to the extraordinary range of good things available in this area. Readers are encouraged to search the many internet resources devoted to this topic: for example, try the keyword phrases such as “Los Angeles attractions” and “Los Angeles free events” </p>
<p>Just a short walk from the Conference Center, UCLA is the home of the renowned <a href="http://www.fmch.ucla.edu">Fowler Museum</a>, exploring global arts and cultures with an emphasis on works from Africa, Asia, the Pacific, and the Americas—past and present. Admission is free though the Museum is closed Mondays and Tuesdays.</p>
<p>A few minutes walk further into the adjacent community of Westwood is the <a href="http://hammer.ucla.edu">Hammer Museum</a>, a world-class unique, cutting-edge arts institution that connects the classics and the contemporary through its varied collections, wide-ranging exhibitions, and provocative programs. Admission is free though the Museum is closed Mondays. </p>
<p>Close to the UCLA campus is the world-famous <a href="http://www.getty.edu">J. Paul Getty Museum</a> at the Getty Center, which houses European paintings, drawings, sculpture, illuminated manuscripts, decorative arts, and European and American photographs in a spectacular architectural setting. Admission is free though the Museum is closed Mondays. </p>
<p>Conference staff will be delighted to provide campus maps, area maps and advice about attractions in the immediate area and across the greater Los Angeles basin. Our Conference Services desk will be staffed full-time during the Conference, in the main foyer of Carnesale Commons.</p>
</section>
<section id="abstractbook">
<div class="page-header">
<h1>Abstract Book</h1>
</div>
<blockquote> The book of contributed
abstracts is <a href="files/Abstracts.pdf">available here.</a>
</blockquote>
</section>
<section id="datacompetition">
<div class="page-header">
<h1>OECD Data Contest</h1>
</div>
<p><b>Data Visualisation Contest @ use!R 2014</b>, underwritten by the OECD, is designed to show the potential of R for analysis and visualisation of large and complex data sets.</p>
<p>The Programme for International Student Assessment (PISA) is a worldwide study developed by the Organisation for Economic Co-operation and Development (OECD) to examine the skills of 15-year-old school students around the world. The study assesses students’ maths, science, and reading skills and contains a wealth of information on students’ background, their school and the organisation of the education system. For most countries, the sample is around 5,000 students, but in some countries the number is even higher. In total, the PISA 2012 dataset contains data on 485 490 pupils.</p>
<p>This contest illustrates the wide range of possible analysis and visualisation tools that can be used with PISA and how participants were able to creatively use the strengths of the PISA dataset in two broad areas:</p>
<p>Track 1: Schools matter: the importance of school factors in explaining academic performance.</p>
<p>Track 2: Inequalities in academic achievement.</p>
<p>All submissions are available <a href="http://beta.icm.edu.pl/PISAcontest/">here</a>.</p>
<h3>In track 1 there was a draw of two submissions:</h3>
<h4>1. Dianne Cook (principal), Luke Fostvedt, Ian Lyttle, Alex Shum from Iowa State University.</h4> <p> See the <a href="http://beta.icm.edu.pl/PISAcontest/track1schools/DianneCookLukeFostvedtIanLyttleAlexShum.zip">R code</a> and the <a href="http://beta.icm.edu.pl/PISAcontest/track1schools/DianneCookLukeFostvedtIanLyttleAlexShum.png">plot:</a></p>
<div class="thumbnail">
<img class="img img-rounded" src="images/DianneCookLukeFostvedtIanLyttleAlexShum.png" alt="Track 1 winner 1" />
</div>
</p>
<h4>2. Luke Fostvedt (principal), Dianne Cook, Ian Lyttle, Alex Shum from Iowa State University.</h4><p> See the <a href="http://beta.icm.edu.pl/PISAcontest/track1schools/LukeFostvedt.zip">R code</a> and the <a href="http://beta.icm.edu.pl/PISAcontest/track1schools/LukeFostvedt.png">plot</a>:
<div class="thumbnail">
<img class="img img-rounded" src="images/LukeFostvedt.png" alt="Track 1 winner 2" />
</div>
</p>
<h3>The winner in track 2 is PhD student Denis Willett.</h3><p> See the <a href="http://beta.icm.edu.pl/PISAcontest/track2ineuqlities/DenisWillett.zip">R code</a> and the <a href="http://beta.icm.edu.pl/PISAcontest/track2ineuqlities/DenisWillett.png">plot</a>:
<div class="thumbnail">
<img class="img img-rounded" src="images/DenisWillett.png" alt="Track 2 winner" />
</div>
</p>
</section>
<section id="map">
<div class="page-header">
<h1>Map</h1>