Chat and mingle at #user2014 on twitter!
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.
The deadline to submit abstracts for poster sessions and regular talks has passed and submissions are now closed. Update (May 1): The abstract notifications were mailed out today. If you submitted an abstract but did not receive a notification, please contact Joshua at
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: John Chambers (S, R), David Diez (OpenIntro), Dirk Eddelbuettel (Rcpp, Debian), Jan de Leeuw (Journal of Statistical Software), Martin Mächler (R Core, R Foundation), Karline Soetaert (Solving Differential Equations in R)
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.
In 2014, the conference will be held at the campus of the University of California in Los Angeles (UCLA). The conference is being organized with support from the UCLA Statistics Department, the Foundation for Open Access Statistics and the Los Angeles R user group. The organizing committee consists of:
Questions? Kindly contact
dmca [at] ucla.edu using the subject heading
userR!2014 question. (Use of a different subject heading in your email may delay our response).
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:
The program committee consists of:
|Tutorial Submissions Deadline||2014-01-05|
|Abstract Submissions Deadline||2014-04-10|
|Notification of Acceptance||2014-05-01|
|Early Registration Deadline||2014-05-10|
|Late registration deadline (closed!)||2014-06-26|
|Conference End||2014-07-03|We are pleased to declare registration open at this time!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.
|Early (before 2014-05-10)||$125||$250||$375|
|Regular (before 2014-06-01)||$150||$300||$425|
|Late (before 2014-06-26)||$175||$350||$475|
|On-Site (limited availability)||$250||$500||$675|
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!
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 single (private) room costs $134.00 per night, whereas a double (shared) room 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.
When purchasing on-campus housing, please double check that the value in the "Number of Nights" dropdown menu matches the number of selected checkboxes. 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 :-)
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.
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. [slides]
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.
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. [slides]
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. [slides]
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, ...
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. [slides]
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.
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.
|Palisades Salon A+B||Max Kuhn||Applied Predictive Modeling in R|
|Palisades Salon C+F||Winston Chang||Interactive graphics with ggvis|
|Palisades Salon D+E||Yihui Xie||Dynamic Documents with R and knitr [Slides] [Examples]|
|Hermosa||Romain Francois||C++ and Rcpp11 for beginners [slides]|
|Venice||Bob Muenchen||Managing Data with R|
|Sproul-Landing building, 3rd floor||Matt Dowle||Introduction to data.table [Tutorial] [Talk]|
|Sproul-Landing building, 4th floor||Virgilio Gomez Rubio||Applied Spatial Data Analysis with R|
|Sproul-Landing building, 5th floor||Martin Morgan||Bioconductor|
|Palisades Salon A+B||Hadley Wickham||Data manipulation with dplyr|
|Palisades Salon C+F||Garrett Grolemund||Interactive data display with Shiny and R|
|Palisades Salon D+E||Drew Schmidt||Programming with Big Data in R|
|Hermosa||Søren Højsgaard||Graphical Models and Bayesian Networks with R|
|Venice||John Nash||Nonlinear parameter optimization and modeling in R [slides]|
|Sproul-Landing building, 3rd floor||Dirk Eddelbuettel||An Example-Driven Hands-on Introduction to Rcpp [slides]|
|Sproul-Landing building, 4th floor||Ramnath Vaidyanathan||Interactive Documents with R|
|Sproul-Landing building, 5th floor||Thomas Petzoldt||Simulating differential equation models in R|
|Monday, June 30|
|08:00 – 09:15||Conference Registration|
|09:15 – 12:45||Morning Tutorial Sessions (w/ 30 minute coffee break)|
|12:45 – 14:00||Lunch|
|14:00 – 17:30||Afternoon Tutorial Sessions (w/ 30 minute |
|19:00 – 21:00||Conference Reception, balcony outside conference building. |
Wine and tasty dessert-type morsels (no full dinner)
|Tuesday, July 1|
|07:45 – 08:45||Conference Registration|
|08:45 – 09:00||Introductory Remarks|
|09:00 – 09:50||Opening Keynote - John Chambers [slides]|
|10:00 – 10:30||Coffee Break|
|10:30 – 12:00||Contributed Talks - Session 1|
|12:00 – 13:00||Lunch|
|13:00 – 14:30||Contributed Talks - Session 2|
|14:30 – 15:00||Coffee Break|
|15:00 – 16:00||Invited Talk - Martin Maechler|
|16:00 – 17:30||Contributed Talks - Session 3|
|17:30 – 19:00||Poster Session 1|
|18:30 – 21:00||heR Panel Discussion and Mixer|
|18:30 – 21:00||LA R Meetup: Networking + R in Production Talk and Panel (Palisades Ballroom)|
|Wednesday, July 2|
|08:00 – 09:00||Conference Registration|
|09:00 – 09:50||Invited Talk - Dirk Eddelbuettel [slides]|
|10:00 – 10:30||Coffee Break|
|10:30 – 11:00||Sponsors Talk [Revolution Analytics slides]|
|11:30 – 13:00||Lunch|
|13:00 – 14:30||Contributed Talks - Session 4|
|14:30 – 15:00||Coffee Break|
|15:00 – 16:00||Invited Talk - David Diez|
|16:00 – 17:30||Contributed Talks - Session 5|
|17:30 – 19:00||Poster Session 2|
|19:00 – 22:00||Conference Dinner at Sunset Canyon Recreation Center|
|Thursday, July 3|
|09:00 – 10:00||Invited Talk - Karline Soetaert|
|10:00 – 11:30||Contributed Talks - Session 6|
|11:45 – 12:30||Closing Keynote - Jan de Leeuw|
|12:30 – 12:50||Closing Remarks|
|Kaleidoscope||Science||Business||Focus 1||Focus 2|
|Room||Palisades||Venice||Hermosa||Sproul-Landing 3th floor||Sproul-Landing 4th floor|
|Session 1||Graphics||Bayesian||Finance||Graphics||Web Application|
|Session 3||Data Manipulation||Modeling||Web Apps||HPC||Time Series|
|Session 6||Reporting||Biostat||Applications||Machine Learning||Spatial/Text|
|Winston Chang||ggvis: Interactive graphics in R [slides and code]|
|Ramnath Vaidyanathan||Interactive Visualizations from R [slides]|
|Chris Parmer||Plotly: Collaborative R Plotting (slides)|
|Ganesh Subramaniam||iwplot: An R Package for Creating web Based Interactive Graphics for Big Data|
|Roger Bivand||Approximate Bayesian Inference for Spatial Econometrics with R-INLA|
|Thomas Jagger||Integrating R-INLA with R Spatial Packages and ggplot|
|Robert Zinkov||Probabilistic Programming in R with Bruno|
|Christopher Paciorek||Beyond the black box: Flexible programming of hierarchical modeling algorithms for BUGS-compatible models using NIMBLE|
|Giuseppe Bruno||Pricing Credit Derivatives with R|
|Ting Kam Leonard Wong||A new framework for portfolio management|
|Tobias Setz||BCP Stability Analytics and Markov Chain Monte Carlo|
|Diethelm Würtz||Don't Optimize! - Portfolios with Bayesian Change Point Analytics|
|Pravin Venugopal||muHVT : Computational Geometry for Visual Analytics|
|Kim Speerschneider||Data Warehousing for Interactive Visualization of Student Data|
|Alexander Pilhofer||Categorical Data Visualization Reordered|
|Heather Turner||Shiny Demos of Statistical Modelling|
|Erik Iverson||Spyre: Exploratory Data Analysis in the Browser|
|Oliver Bracht||translateR - A cloud based translator for SPSS and SAS Code [slides]|
|Jose M. Benitez||R as a PaaS cloud computing service for Computational Intelligence tasks|
|E. James Harner||A Comparison of Rc2, RStudio, and RCloud|
|Gordon Woodhull||RCloud - Integrating Exploratory Visualization, Analysis and Deployment|
|Jeroen Ooms||The OpenCPU system: towards a universal interface for scientific computing (recording) (slides)|
|Joe Cheng||Shiny: R made interactive [slides]|
|Karthik Ram||Fostering the next generation of open science with R (slides)|
|Tracy Nance||Visualizing Diseased Transcriptomes with R|
|Tal Galili||dendextend: an R package for easier manipulation and visualization of dendrograms [slides]|
|Yuna Blum||The R package FANet: sparse Factor Analysis model for high dimensional gene co-expression Networks|
|Vik Gopal||popKorn: An R package for inference on selected populations|
|Kam Hamidieh||Recovering Risk Neutral Density from Options Using RND Package|
|David Ardia||The peer performance of hedge funds|
|Ken Yale||R For Improving Consumer Engagement and Health Outcomes|
|Rasmus Baath||Bayesian First Aid: A Package that Implements Bayesian Alternatives to the Classical *.test Functions in R (slides)|
|Nicholas Reich||statsTeachR.org: A New Framework for Collaborative, Open-Access Curriculum Development|
|Jonathan Cornelissen||DataCamp: online interactive learning platform for R|
|Amelia McNamara||Teaching R to high school students (and teachers) [slides]|
|Gabriela de Queiroz||Creating a network of women R-users|
|A. Jonathan R. Godfrey||Practical use of R by blind People|
|Adi Tarca||A teams story in the IMPROVER Species Translation Challenge|
|Xavier Conort||10 R packages to win Kaggle competitions|
|Hadley Wickham||dplyr: a grammar of data manipulation|
|Matt Dowle||data.table : fast and flexible data manipulation [Abstract] [Talk] [Tutorial]|
|Antonio Piccolboni||Plyrmr: a data manipulation DSL for big data|
|Helena Kotthaus||Performance Analysis for R: Towards a Faster R Interpreter|
|Andreas Alfons||Robust model selection: New developments in the R package robustHD|
|John Fox||Visualizing Lack of Fit in Complex Regression Models: Adding Partial Residuals to Effect Displays|
|Norm Matloff||Regression Fit Diagnostics Using freqparcoord|
|Mark Hornick||Massive Predictive Modeling|
|Mark Seligman||The Arborist: a Scalable Decision Tree Implementation|
|Tridivesh Jena||Representing Model Ensembles in PMML|
|Hai Qian||PivotalR: A Package for Machine Learning on Big Data|
[slides | demo_useR.R | demo_hackday.R]
|Romain Francois||Rcpp11 [slides]|
|Dirk Eddelbuettel||RcppZiggurat: Faster Random Normal Draws [slides]|
|Eilidh Troup||Using SPRINT and parallelised functions for analysis of large data on multi-core Mac and HPC platforms [slides]|
|Thomas Petzoldt||Swimming in clear lakes: How model coupling with R helps to improve water quality|
|William Dunsmuir||GLARMA Models and the glarma Package|
|Tomoaki Nakatani||Handling conditional correlation GARCH models with the ccgarch2 package|
|Rune Juhl||ctsmr package - Continuous Time Stochastic Modelling in R|
|Aran Lunzer||LivelyR: Making R charts livelier [video]|
|Thomas Fuchs||R in the Midst of Exploding Stars: Distributed, Time-Domain Transient Classification|
|Norm Matloff||An R Package for Parallel Matrix Powers|
|Joseph Rickert||Generalized Linear Models on Large Data Sets|
|Max Kuhn||Adaptive Resampling in a Parallel World|
|Yukiko Kurihara||Selection Effects of Common Variables on Statistical Matching|
|Matthias Templ||Imputation of Missing Values with the R Package VIM|
|Jason Bryer||PSAboot: An R Package for Bootstrapping Propensity Score Analysis|
|Patrick Mair||Permutation Tests in Multidimensional Scaling|
|Dan Putler||Creating R-Based Web Browser Applications Using Alteryx|
|Aaron Horowitz||Rapid Prototyping With R/Shiny at McKinsey: A New Way of Delivering Value for Our Clients|
|Bhaskar Rao||ETD: A Design Pattern for Building Web-Based Analytics Dashboards in R|
|Nilesh Shah||A real time, responsive Quantitative trading analysis Mobile App using r|
|John Fox||Version 2 of the R Commander|
|Edwin de Jonge||docopt, add beautiful command line options to R scripts [slides]|
|Colin Goodall||Why I heart (not) parentheses, a journeyman's toolkit path from S to R|
|Robert Muenchen||How Popular is R?|
|Mark van der Loo||Approximate text matching with the stringdist package (slides)|
|Ryota Suzuki||R AnalyticFlow 3: An Environment for Data Analysis with R|
|David Gohel||An R package for creating Microsoft Word, Power Point and HTML documents [slides and demo]|
|Stan Pounds||rctrack: An R that Package Automatically Collects and Archives Details for Reproducible Computing|
|David Smith||R and Reproducibility: a Proposal [slides]|
|J.J. Allaire||Packrat - A Dependency Management System for R|
|Andy Nicholls||This code is a complete hack, may or may not work, etc.. - The Challenges of Validating R|
|Andy Chen||RLint: Reformatting R Code to Follow the Google Style Guide|
|Henry Bongiovi||Simulating Influenza Transmission with Real Network Data|
|Benjamin Nutter||Enhancing Medical Reporting by Combining Electronic Health Records with REDCap: Applications of the REDCap API|
|Paul Schuette||Simulations for regulatory decision making: How many simulations do we need to run?|
|A. Jonathan R. Godfrey||Monitoring Patients with Ongoing Reduced Kidney Function|
|Louis Bajuk-Yorgan||Deploying R into Business Intelligence and Real-time Applications [slides]|
|Nick Elprin||Domino: A Platform-as-a-Service for Industrialized Data Analysis|
|Takekatsu Hiramura||RForcecom: an R package which provides a connection to Force.com and Salesforce.com|
|Yeng Bun||Zillow's Big Data and Real-time Services in R|
|Jean-Michel Perraud||Generating R reference classes in rClr with software reflection|
|Malick Claes||Beyond R CMD check: Helping R developers to detect CRAN package conflicts|
|Roman Tsegelskyi||TestR: generating unit tests for R internals [slides]|
|Jonathan McPherson||Talk: Debugging in R|
|Kazutaka Doi||The Cutil Package for GPU-Accelerated Computing|
|Julian Waton||waveCUDA: an R package for performing CUDA-accelerated wavelet analysis|
|Talita Perciano||Image analysis and statistics: an introduction using R and RIPA [slides]|
|Rune Christensen||Sensory discrimination testing with the sensR package|
|Jeff Allen||The Next Generation of R Markdown [slides]|
|Gergely Daroczi||rapport: a report templating system in R (slides)|
|Yihui Xie||Knitr Ninja [Abstract] [Slides]|
|Garrett Grolemund||Embedding Shiny Apps in R Markdown documents [slides]|
|Luca Tardella||BBRecapture for capture-recapture data modelling with behavioural effects|
|John Ehrlinger||Visually Exploring Random Forests with ggRandomForests [slides]|
|Denes Toth||eegR: an R package to analyze electrophysiological (EEG) signals|
|David Causeur||ERP: a R package for Event-Related Potentials data analysis|
|Pramod Kunju||Insurance industry churn|
|Zhengying(Doro) Lou||Automated Business Reporting with R|
|Jean-Francois Collin||An R tools platform in Cosmetic Industry|
|Stephen Kaluzny||Software Testing and the R Language|
|Michel Lang||Package mlr: Machine Learning in R|
|Thomas Fuchs||Computer Vision in R: Enabling Flyby Science at Comets and Asteroids|
|Emeline Perthame||FADA: an R package for variable selection in supervised classification of strongly dependent data|
|Erin LeDell||subsemble: Ensemble learning in R with the Subsemble algorithm|
|Jan-Philipp Kolb||Opportunities through the use of Open-Street-Map data in social sciences|
|Irene Garcia-Checa||Spatial Tweetstistics with R: Geographical Distribution of English Loan Words in Spanish Tweets|
|Stefan Th. Gries||Text processing with R: exact.matches and other functions|
|Susie Jentoft||Working with R and SAS: Some initial experiences from Statistics Norway|
|1||Sebastian Kreutzer||Investigating cold light: The R package Luminescence - signal, statistics and dating of environmental dynamics|
|2||Samuel Ackerman||mapStats: An R package for geographic visualization of survey statistics|
|3||Michael Dietze||EMMAgeo end-member modelling analysis of grain-size data|
|4||Tim Hesterberg||Resample package|
|5||Jo-fai Chow||Exploring Different Options for Interactive Spatial Data Visualization in R: Case Studies based on Crime Data in UK [Poster] (CrimeMap) (rCrimemap)|
|6||Stephanie Kovalchik||Package ATPR for Statistical Analyses of Men's Professional Tennis|
|7||Ari Lamstein||The choroplethr package|
|8||Xing Li||Rcircle: an R package for Integrating and Visualizing multiple "-omics" data for Knowledge Discovery|
|9||Paolo Giordani||The R Package ThreeWay For Three-Way Component Analysis|
|10||Jinseob Kim||Reproducible Research in Public Health|
|11||Ki-Yeol Kim||The identification of combined genomic expressions as a diagnostic factor for oral squamous cell carcinoma|
|12||Masayuki Jimichi||Visualization and Statistical Modeling of Financial Data with R|
|13||Xinxing Li||Robust Linear Modeling using the Hyperbolic Distribution|
|14||Marie Vendettuoli||Extending the useR community: developing Shiny applications and interactive graphics at USDA APHIS|
|15||Michael Sannella||The Compatibility Challenge: Examining R and Developing TERR|
|16||Jimmy Oh||Interactive Prototyping of Statistical Graphics with WeBIPP|
|17||Przemyslaw Biecek||How to load and what to do with the PISA data (Program for International Student Assessment)|
|18||Charles Broderick||Use of Classification Trees for Prediction of Violence|
|19||Carlos Cinelli||Using R for official statistics: Census of Foreign Capital in Brazil|
|20||Bryan Stanfill||Extending Agriculture Simulator Capabilities with R|
|22||Conor McManus||unmixR: Hyperspectral Unmixing in R|
|23||Alon Friedman||Learning R: Needs Analysis, Learning Taxonomies, Methodology, and Visualization|
|24||Fernando Marques||EpiDynamics 0.1: Dynamic Models in Epidemiology|
|25||Tridivesh Jena||The PMMLTransformations package|
|26||Scott Porter||And you want to interact with it using a spreadsheet? Simple connections between R and Microsoft Excel|
|27||MIchael Haupt||Faster FastR through Partial Evaluation and Compilation|
|28||Frederic Bertrand||plsRcox, Cox-Models in a high dimensional setting in R|
|1||Yasuto Nakato||An Integrated Environment for Social Research Analysis|
|2||Edwin de Jonge||lsh, nearest neighbor search in high dimensions|
|3||R Scott Hacker||Hansel: An Econometrics Plug-In for Deducer|
|4||Gergely Daroczi||R users all around the world (poster)|
|5||Takekatsu Hiramura||SeekR: A Search Engine for R users|
|6||Joan Vila||Shiny-ing compareGroups|
|7||Oswaldo Santos||capm 0.4: an R package for Companion Animal Population Management|
|8||Dieter De Mesmaeker||Rdocumentation.org: online documentation for all R packages|
|9||Olga Ivina||A land-use regression-based confidence predictor for modeling of Munich air pollution data|
|10||Eric Kramer||Running R with 120 threads on the Intel Xeon E7-4870 v2|
|11||Christian Gonzalez||Data Works: An Interactive Data Visualization Application Built with Shiny|
|12||Scott Gillespie||Multi-center Clinical trials reporting with R|
|13||Jeanny Wang||R graphics in Tidal Wetland Restoration|
|14||Jacob Quartuccio||Statistics without Numbers: Using Data Visualization to Quantify Trends for Cycling Safety|
|15||Frederic Bertrand||plsRglm, PLS generalized linear models for R|
|16||Jimmy Wong||Visually Analyzing and Running Multilevel Data in R and BUGS|
|17||Scott Porter||Using RGraphviz as a first pass for layout of small structural model graphs|
|18||Nicolas Jung||ascade: a R-package to study, predict and simulate the diffusion of a signal through a temporal gene network.|
|19||Mine Cetinkaya-Rundel||Teaching data analysis in R through the lens of reproducibility [poster]|
|20||Drew Schmidt||Distributed Matrix Exponentiation in R|
|21||Md Abdul Halim||Quantitative Tools for Modeling Coarse Woody Debris Dynamics|
|22||Sandra Griffith||Developing shiny applications for the classroom|
|23||Nora M. Villanueva||seq2R: Analyzing compositional asymmetries in DNA|
|24||Marta Sestelo||Detecting critical points of regression curves. An application to the management of aquatic living resources|
|25||Kevin Wright||The agridat package is growing|
|26||Daniel Dekic||Better Data Quality In Clinical Trials|
|27||Alex Zolotovitski||R Work Journal|
The book of contributed abstracts is available here.
Data Visualisation Contest @ use!R 2014, underwritten by the OECD, is designed to show the potential of R for analysis and visualisation of large and complex data sets.
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.
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:
Track 1: Schools matter: the importance of school factors in explaining academic performance.
Track 2: Inequalities in academic achievement.
All submissions are available here.
Click on the image to navigate to a google map with places of interest. On mobile phones, make sure to open with Google Maps Engine app (rather than Google Maps or Browser).
In 2014, the conference will be held in Los Angeles, at the University of California-Los Angeles (UCLA). Los Angeles is the second most populous city in the United States, following New York City. UCLA was one of two original public universities in California, following UC Berkeley. It's a large university campus, with about 40,000 students (30,000 undergraduates, 10,000 graduate students) and 4,000 faculty members. Because of its location in Los Angeles, UCLA has been featured many times in movies and TV shows. UCLA is located approximately seven miles from the Pacific ocean, and eight miles from Hollywood.
We've learned that GoogleEarth has a dreadfully distorted vision of the Carnasale Commons meeting hall, and that both GoogleStreetView and Bing Maps offer thoroughly outdated views showing massive construction. We can assure you without reservation that the almost brand-new hall is complete and in very fine structural condition. It was built on a fairly steep hill, so the entrance on the east side of the building, on Charles Young Drive, is actually 3 levels below the main hall, and the top floor entry is at street level on DeNeve Drive and Sunset Commons. All Conference activities will take place in and immediately around this setting. Look it up on the interactive campus map and search for "Carnasale."
Projected temperatures during the Conference appear on target to be comfortably in the 80's F during the day and the mid 60's F at night (e.g., 27C hi .. 18C lo) with low humidity. Precipitation is not foreseen at this time, perhaps occasional coastal fog.
The average temperature in the immediate vicinity during the conference is expected to be a very comfortable 73 degrees Fahrenheit (23 degrees Celsius). Elsewhere across greater Los Angeles during the same period we anticipate 79 degrees Fahrenheit (26 degrees Celsius). Daylight lasts 14.5 hrs (sun screen is recommended when you are out of doors). Evenings will cool to about 63 F (17 C). Light jackets or sweaters should be more than adequate at nighttime.
Though weather world-wide has lately been unsettled, we can state that the average probability of precipitation during the Conference is estimated to be a mere 4%. The relative humidity typically is mildly humid, rarely dropping below 48% (comfortable), or exceeding 95% (very humid). Typical wind speeds vary from 0 mph to 14 mph (calm to moderate breeze).
Included with your paid Conference registration is admission on an individual basis to all UCLA campus recreation facilities. The John Wooden Center and Sunset Canyon Recreation Center include swimming pools, weight rooms, tennis courts, racquetball courts and handball courts.
Parking permits are required at all times for all vehicles parked on campus. The fee is USD 12.00 per vehicle per day. Vehicles without permits are subject to ticketing and towing. You may purchase parking permits at a campus parking kiosk upon arrival, or at interactive kiosks inside most parking garages. To see all the garages with interactive kiosks, see this map. The main parking kiosk is located on Westwood Blvd near Strathmore Pl., and the closest parking garages to the conference facility are labeled SV and and RC on the main campus map. For more information about parking, see the campus parking site.
UCLA is a non-smoking environment. Use of cigarettes, cigars, chewing tobacco and all other tobacco products including electronic cigarettes is prohibited on UCLA's campus and at sites owned or leased by the university. "Tobacco use and exposure to secondhand smoke remain the leading causes of preventable disease and death worldwide," the UCLA Chancellor has noted in an open letter about this recent policy change. UCLA joins with hundreds of colleges and universities nationwide that have adopted tobacco-free or smoke-free policies.
All participants shall abide by University laws and policies concerning possession and consumption of alcoholic beverages. Possession of open or visible containers anywhere except within an assigned room where the door is closed (for those guests older than 21 years of age) or at a UCLA catered event is strictly prohibited. All regulations governing controlled substances and possession of paraphernalia for intended or implied use of controlled substances are observed in full.
UseR!2014 at UCLA is dedicated to providing a conference free from harassment for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age or religion. We do not tolerate harassment of conference participants in any form. Harassment includes offensive verbal comments related to gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, religion, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of talks or other events, inappropriate physical contact, and unwelcome sexual attention. Sexual language or imagery is not appropriate for talks, posters, exhibitors’ displays, or social and dining events. Violators may be sanctioned, including being expelled from the conference without a refund, at the complete discretion of the Conference Organizing Committee. For more information, resources, and official policy concerning this topic, see the UCLA website.
The Sunset Commons area will have lodging check-in and access to the principal dining halls. Lodging services are open 24-hours each day; check-in is anytime after 4pm. If you have registered for the Conference but not yet secured your lodging arrangements, now is the time to re-visit the main Conference website at http://user2014.stat.ucla.edu/ , return to the same registration / lodging hyperlink you first visited, skip registration and move directly to your choice of rooms and dates. Do kindly use the identical name and email address as when you first registered. Rooms are quoted on a per-person basis. (We regret to say that the special Conference rates at local participating hotels off-campus are no longer available to newcomers.)
For those of you who have chosen not to stay on campus, dining tickets are available for purchase at the lodging services desks. Once more, a quick reminder: there is no free parking anywhere on campus, and since parking restrictions are strenuously enforced on all nearby streets, do please plan to park in a campus lot only with a proper UCLA parking permit that can be purchased from a parking kiosk daily. The closest lot to the Conference Center is Lot SV. Please be aware that the Conference Organizers have little or no control over Los Angeles traffic though we've tried...
While you are contemplating lodging, you might also think about the Conference Banquet on the evening of July 2. It is available for purchase through the same registration / lodging hyperlink, and will be open only to those who have purchased a Banquet ticket in advance. Seating is still available at this time.
UCLA offers modern rooms featuring air-conditioning, cable TV, complimentary wireless high-speed Internet connections, in-room telephone, two twin beds, a private or shared bathroom between two rooms, and daily maid service. The accommodations are conveniently located adjacent to meeting rooms and large dining facilities. There are 24-hour front desk services for check-in, messages, and information. All rooms are non-smoking. A designated number of sleeping rooms also meet Americans with Disabilities Act (ADA) requirements.
Acceptable rooms for persons with disabilities will be provided at the same cost as those rooms contracted for by the Conference. To ensure that specific rooms are provided, please send an email before 6/9/14 to dmca[at]ucla.edu describing the needs of any participants with disabilities so that UCLA Conference Services can be informed. The Conference Organizers' obligation is to make certain that the program is conducted in such a manner that it is accessible to all persons with disabilities.
Guests who bring their own computer/laptop can access the Internet directly via the Ethernet port in their sleeping rooms. In order to access the Internet, guests must have the Ethernet card on their computer software. If guests do not have their own Ethernet card, they can purchase one through the Covel Business Center located directly across from Sunset Village. Each sleeping room is equipped with a telephone that allows complimentary access to UCLA campus extensions, with complimentary access to local calls within a certain radius of the campus. To make local and long distance calls, guests must use a prepaid telephone calling card. Phone cards are available for sale at the front desk of each residential facility
All accommodations are sold on a “package plan” basis and include rooms, daily meals, and use of UCLA’s Olympic-quality recreational facilities. Meals are all-you-care-to-eat. The University of California Los Angeles is a smoke-free facility.
Discounted conference rates have been negotiated with several high-quality hotels in the Westwood area including the following:
If you choose to reserve a room at one of these fine facilities, do call their offices directly as the internet pricing may or may not reflect the discounted conference rate. All of the above rates are subject to a 14% hotel room tax, as are all hotels and motels in this area.
Should you choose to stay at one of these establishments or any of several dozen others in the Westwood, Santa Monica, Culver City or Beverly Hills areas which surround the UCLA campus, please exercise care when mapping your overall itinerary as the patterns of traffic in this hilly area can be famously demanding. This is especially true during rush-hour which happens to extend over a pair of several-hour-long periods each day. What may appear as an easy jaunt on a map of the area in two dimensions can pose unexpected challenges to the unwary. The UCLA campus is currently undergoing substantial construction and even the most current maps may not show necessary walking and driving detours. Do also note that daytime parking at the Conference will be charged, that meals are available for purchase at the Conference Center through their meal ticket system (all meal tickets purchased on an individual basis are subject to the 9% California Sales Tax). Numerous restaurants can found throughout the region, and many other amenities are available in both the immediate vicinity and across the greater Los Angeles area. If this is your first visit to Los Angeles, do explore local travel agents in your hometown as well as the internet for further information.
The most convenient airport for accessing UCLA is the Los Angeles International Airport (LAX). From LAX, a variety of transit options are available. For $10 may we recommend the Flyaway Non-Stop Bus Service to and from LAX. A shuttlebus is available hourly, with drop-off at the edge of the UCLA campus, approximately a 20-minute walk to the Conference Center. To see where the FlyAway drops off, see the interactive campus map. Search for “Carnesale Commons” (the conference facility) and “Parking Structure 32" (where the FlyAway drops off) for more details. When catching the FlyAway, be careful to choose the shuttle labeled "Westwood" as there are several other destinations serviced by other FlyAway shuttle busses.
Besides flyaway, numerous other commercial shuttles, taxi and car rental services are available around the clock at LAX. The approximate fare from LAX to Carnasale Commons at UCLA is $50.
When arriving at the international section of your arrival airport, please note that you may be subject to delays in clearing United States Customs. We are informed that the average time required by Customs and Immigration is between 1 to 2 hours (and this process often may be longer) before you are permitted to leave the secure area.
While the principal airport serving this area is LAX, one can also enter the area conveniently by way of Bob Hope International Airport (BUR) located in Burbank, approximately a half-hour drive from UCLA. An additional airport is Long Beach Airport (LGB), a little over a half-hour drive from UCLA. Both are serviced by numerous shuttles and taxis.
If you are arriving at Los Angeles International Airport, Bob Hope Airport in Burbank, or Long Beach Airport, taxi drivers all know how to get to the UCLA Medical Center, which is located a bit south of the Conference location. Your best bet is to study the interactive campus map before your arrival so you can direct your driver up to the Sunset Commons area if needed. Note that commercial shuttle buses go towards UCLA, but the drop-off point will require a several minutes up-hill walk to the Conference location. If you are arriving by car, be sure to take the Wilshire East exit from the 405 Freeway. Studying your map in advance of coming upon this exit can prove very helpful!
Those arriving through international customs should prepare themselves for a wait that can extend several hours. We understand that you will be requested to submit the customs declaration form even if you have nothing to declare. Only one customs declaration form is required per family. The paper form I-94W(arrival/departure record) for authorized travelers from nations participating in the Visa Waiver Program(VWP), with an approved Electronic System for Travel Authorization(ESTA), has been eliminated, according to our sources.
Abstracts accepted for talks will take place during oral sessions. Each talk is allowed 15 minutes for the presentation and 5 minutes for questions and answers. If your talk has been accepted, please register as soon as possible, and contact us if you will not be able to attend. If the first author of the talk cannot attend, but another co-author or someone else can present on the first author's behalf, that is fine. If you like, you can contact us to let us know, or simply present the talk and note at the beginning of your presentation that you are not the first author but are presenting the talk.
Regrettably, the Conference Organizing Committee is not in position of supplying any personal computers at any time, so if you choose to attend with computer in hand, do bring your own fully-charged portable. Do please recognize that the number of available power outlets in any given meeting room is very limited, so we will not be able to supply you 110 volts while in talks and sessions – your own lodgings are the best source for that battery recharge overnight each night. As a precaution do kindly place some clear form of ID on both your machine and your charging brick; there will be lots of look-alikes. We and UCLA cannot be responsible for loss or theft.
Each Conference meeting room will be equipped with a Mac desktop running OS10.6 and linked to a projector. Each of those will be pre-loaded with the most recent release of R and with a pdf viewer. Those among you who are presenting will need to know that while Microsoft’s Powerpoint may once have been considered the epitome of fine conference software, selected upgrades and so forth have rendered many such files only partially compatible with existing installations. So Powerpoint will *not* be offered. Instead, kindly make sure that you have your materials on a pdf file, loadable directly from your own USB 2.0 thumb drive. Note too that not every thumb drive is recognized by a Mac, especially encrypted or password-protected files or materials on USB 3.0. You would do well to establish full compatibility with a Mac before you leave for the conference. Some of you may already have OS10.7 or Mavericks experience but we have not seen fit to “upgrade” as of yet for many reasons. Windows users: know that we indeed share your pain but cannot automatically say that your Windows materials will display perfectly in the Mac environment – so you too will need to provide an unencrypted unpassworded pdf file that we strongly recommend you try it out on a Mac locally before traveling.
For those presenters whose materials absolutely must include stunning visuals and/or videos and/or sound, you’re best to prepare thoroughly in advance with a fully-charged portable that you can personally hook directly to the room’s projector. We cannot promise to have sufficient staff on hand to troubleshoot at the time of actual need. For presenters who need to download additional R packages for your materials to work properly, we are counting on you to have made all those arrangements in advance of the moment you stand up to present (...and that you’ll be explicit about use of those packages with your audience). Speaking of audiences, do please keep your jokes clean and your acronyms spelled out at all times; we will have people in attendance from 32 different countries!
Abstracts accepted for posters will take place during one of two evening poster sessions. Poster sessions are a social event. There are no parallel talks or events happening, so everyone can talk and stop by posters they are interested in. The dimensions of each poster should not exceed 4' x 4' or 120cm x 120cm.