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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
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Monday
, June 27
Barnes
9:00am •
Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1)
10:15am •
Coffee Break
10:30am •
Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2)
12:00pm •
Lunch
1:00pm •
Missing Value Imputation with R (Part 1)
2:15pm •
Coffee Break
2:30pm •
Missing Value Imputation with R (Part 2)
Campbell Rehearsal Hall
9:00am •
Machine Learning Algorithmic Deep Dive (Part 1)
10:15am •
Coffee Break
10:30am •
Machine Learning Algorithmic Deep Dive (Part 2)
12:00pm •
Lunch
1:00pm •
Extracting data from the web APIs and beyond (Part 1)
2:15pm •
Coffee Break
2:30pm •
Extracting data from the web APIs and beyond (Part 2)
Econ 140
9:00am •
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1)
10:15am •
Coffee Break
10:30am •
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2)
12:00pm •
Lunch
1:00pm •
Introduction to SparkR (Part 1)
2:15pm •
Coffee Break
2:30pm •
Introduction to SparkR (Part 2)
Lane
9:00am •
Small Area Estimation with R (Part 1)
10:15am •
Coffee Break
10:30am •
Small Area Estimation with R (Part 2)
12:00pm •
Lunch
1:00pm •
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1)
2:15pm •
Coffee Break
2:30pm •
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2)
Lyons & Lodato
9:00am •
Using Git and GitHub with R, Rstudio, and R Markdown (Part 1)
10:15am •
Coffee Break
10:30am •
Using Git and GitHub with R, Rstudio, and R Markdown (Part 2)
12:00pm •
Lunch
1:00pm •
Regression Modeling Strategies and the rms package (Part 1)
2:15pm •
Coffee Break
2:30pm •
Regression Modeling Strategies and the rms package (Part 2)
McCaw Hall
8:00am •
Registration check-in
1:00pm •
Effective Shiny Programming (Part 1)
2:15pm •
Coffee Break
2:30pm •
Effective Shiny Programming (Part 2)
4:00pm •
Short Break
4:15pm •
What's up with the R consortium?
4:40pm •
Presentation of the Women in R task force
5:00pm •
R-Ladies Presentation 1
5:10pm •
R-Ladies Presentation 2
5:20pm •
Discussion
McDowell & Cranston
9:00am •
MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 1)
10:15am •
Coffee Break
10:30am •
MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 2)
12:00pm •
Lunch
1:00pm •
Understanding and creating interactive graphics (Part 1)
2:15pm •
Coffee Break
2:30pm •
Understanding and creating interactive graphics (Part 2)
SIEPR 120
9:00am •
Handling and analyzing spatial, spatiotemporal and movement data (Part 1)
10:15am •
Coffee Break
10:30am •
Handling and analyzing spatial, spatiotemporal and movement data (Part 2)
12:00pm •
Lunch
1:00pm •
Using R with Jupyter notebooks for reproducible research (Part 1)
2:15pm •
Coffee Break
2:30pm •
Using R with Jupyter notebooks for reproducible research (Part 2)
SIEPR 130
9:00am •
Dynamic Documents with R Markdown (Part 1)
10:15am •
Coffee Break
10:30am •
Dynamic Documents with R Markdown (Part 2)
12:00pm •
Lunch
1:00pm •
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1)
2:15pm •
Coffee Break
2:30pm •
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2)
Wallenberg Hall 124
9:00am •
Genome-wide association analysis and post-analytic interrogation with R (Part 1)
10:15am •
Coffee Break
10:30am •
Genome-wide association analysis and post-analytic interrogation with R (Part 2)
12:00pm •
Lunch
Tuesday
, June 28
Barnes & McDowell & Cranston
10:30am •
bamdit: An R Package for Bayesian meta-analysis of diagnostic test data
10:48am •
Compiling parts of R using the NIMBLE system for programming algorithms
11:06am •
Bayesian analysis of generalized linear mixed models with JAGS
11:24am •
Fitting complex Bayesian models with R-INLA and MCMC
11:42am •
bayesboot: An R package for easy Bayesian bootstrapping
1:00pm •
Group and sparse group partial least squares approaches applied in a genomics context
1:18pm •
Fast additive quantile regression in R
1:36pm •
bigKRLS: Optimizing non-parametric regression in R
1:54pm •
Multiple Hurdle Tobit models in R: The mhurdle package
2:12pm •
Detection of Differential Item Functioning with difNLR function
4:45pm •
How to keep your R code simple while tackling big datasets
5:03pm •
Inside the Rent Zestimates
5:21pm •
Data validation infrastructure: the validate package
5:39pm •
RServer: Operationalizing R at Electronic Arts
5:57pm •
Applying R in streaming and Business Intelligence applications
Bing Concert Hall
6:30pm •
Welcome Reception
Econ 140
10:30am •
edeaR: Extracting knowledge from process data
10:48am •
Implementing R in old economy companies: From proof-of-concept to production
11:06am •
R: The last line of defense against bad debt
11:24am •
Automating our work away: One consulting firm's experience with KnitR
11:42am •
How can I get everyone else in my organisation to love R as much as I do?
4:45pm •
Covr: Bringing Code Coverage to R
5:03pm •
Crowd sourced benchmarks
5:21pm •
The challenge of combining 176 x #otherpeoplesdata to create the Biomass And Allometry Database (BAAD)
5:39pm •
A Future for R
5:57pm •
Rethinking R Documentation: an extension of the lint package
Lane & Lyons & Lodato
10:30am •
Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud
10:48am •
Two-sample testing in high dimensions
11:06am •
R/qtl: Just Barely Sustainable
11:24am •
Fry: A Fast Interactive Biological Pathway Miner
11:42am •
Analysis of big biological sequence datasets using the DECIPHER package
1:18pm •
htmlwidgets: Power of JavaScript in R
1:36pm •
What can R learn from Julia
1:54pm •
Zero-overhead integration of R, JS, Ruby and C/C++
2:12pm •
RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark
4:45pm •
flexdashboard: Easy interactive dashboards for R
5:03pm •
New Paradigms In Shiny App Development: Designer + Data Scientist Pairing
5:21pm •
Using Shiny modules to build more-complex and more-manageable apps
5:39pm •
R AnalyticFlow 3: Interactive Data Analysis GUI for R
5:57pm •
Visual Pruner: A Shiny app for cohort selection in observational studies
McCaw Hall
8:00am •
Registration check-in
8:30am •
Opening Session
9:00am •
Forty years of S
10:00am •
Coffee Break with Poster Exhibits
10:30am •
R in machine learning competitions
10:48am •
Connecting R to the OpenML project for Open Machine Learning
11:06am •
trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R
11:24am •
United Nations World Population Projections with R
11:42am •
jailbreakr: Get out of Excel, free
1:00pm •
Linking htmlwidgets with crosstalk and mobservable
1:18pm •
Transforming a museum to be data-driven using R
1:36pm •
CVXR: An R Package for Modeling Convex Optimization Problems
1:54pm •
Statistics and R in Forensic Genetics
2:12pm •
FiveThirtyEight's data journalism workflow with R
2:30pm •
Coffee Break w/ Poster Session
3:30pm •
Literate Programming
4:30pm •
Short Break
4:45pm •
R at Microsoft
5:03pm •
'AF' a new package for estimating the attributable fraction
5:21pm •
broom: Converting statistical models to tidy data frames
5:39pm •
Rho: High Performance R
5:57pm •
Colour schemes in data visualisation: Bias and Precision
SIEPR 120
1:00pm •
Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform
1:18pm •
Experiences on the Use of R in the Water Sector
1:36pm •
A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho
1:54pm •
Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny
2:12pm •
Wrap your model in an R package!
4:45pm •
Simulation of Synthetic Complex Data: The R-Package simPop
5:03pm •
When will this machine fail?
5:21pm •
Introducing the permutations package
5:39pm •
Differential equation-based models in R: An approach to simplicity and performance
5:57pm •
Helping R Stay in the Lead by Deploying Models with PFA
SIEPR 130
10:30am •
Using Spark with Shiny and R Markdown
10:48am •
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
11:06am •
Taking R to new heights for scalability and performance
11:24am •
Distributed Computing using parallel, Distributed R, and SparkR
11:42am •
FlashR: Enable Parallel, Scalable Data Analysis in R
1:00pm •
Continuous Integration and Teaching Statistical Computing with R
1:18pm •
Integrated R labs for high school students
1:36pm •
Introducing Statistics with intRo
1:54pm •
A first-year undergraduate data science course
2:12pm •
Teaching R to 200 people in a week
4:45pm •
mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions
5:03pm •
Deep Learning for R with MXNet
5:21pm •
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
5:39pm •
xgboost: An R package for Fast and Accurate Gradient Boosting
5:57pm •
Rectools: An Advanced Recommender System
Sponsor Pavilion
12:00pm •
Lunch with Poster Exhibits
2:30pm •
Urban Mobility Modeling using R and Big Data from Mobile Phones
2:30pm •
Teaching statistics to medical students with R and OpenCPU
2:30pm •
Using R in the evaluation of psychological tests
2:30pm •
Using R with Taiwan Government Open Data to create a tool for monitor the city's age-friendliness
2:30pm •
Curde: Analytical curves detection
2:30pm •
Visualizations and Machine Learning in R with Tessera and Shiny
2:30pm •
Integrating R & Tableau
2:30pm •
A Large Scale Regression Model Incorporating Networks using Aster and R
2:30pm •
DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package
2:30pm •
High-performance R with FastR
2:30pm •
Applied Biclustering Using the BiclustGUI R Package
2:30pm •
Prediction of key parameters in the production of biopharmaceuticals using R
2:30pm •
Writing a dplyr backend to support out-of-memory data for Microsoft R Server
2:30pm •
RCAP Designer: An RCloud Package to create Analytical Dashboards
2:30pm •
Visualization of health and population indicators within urban African populations using R
2:30pm •
Statistics and R for Analysis of Elimination Tournaments
2:30pm •
Community detection in multiplex networks : An application to the C. elegans neural network
2:30pm •
Multi-stage Decision Method To Generate Rules For Student Retention
2:30pm •
Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite
2:30pm •
All-inclusive but Practical Multivariate Stochastic Forecasting for Electric Utility Portfolio
2:30pm •
R Shiny Application for the Evaluation of Surrogacy in Clinical Trials
2:30pm •
R Microplots in Tables with the latex() Function
2:30pm •
IMGTStatClonotype: An R package with integrated web tool for pairwise evaluation and visualization of IMGT clonotype diversity and expression from IMGT/HighV-QUEST output
2:30pm •
Sequence Analysis with Package TraMineR
2:30pm •
Imputing Gene Expression to Maximise Platform Compatibility
2:30pm •
mvarVis: An R package for Visualization of Multivariate Analysis Results
2:30pm •
Video Tutorials in Introductory Statistics Instruction
2:30pm •
Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea.
2:30pm •
shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny
Wednesday
, June 29
Barnes & McDowell & Cranston
10:30am •
OPERA: Online Prediction by ExpeRts Aggregation
10:48am •
permuter: An R package for randomization inference
11:06am •
Calculation and economic evaluation of acceptance sampling plans
11:24am •
Heatmaps in R: Overview and best practices
11:42am •
Phylogenetically informed analysis of microbiome data using adaptive gPCA in R
1:00pm •
Reusable R for automation, small area estimation and legacy systems
1:18pm •
How to use the archivist package to boost reproducibility of your research
1:36pm •
GNU make for reproducible data analysis using R and other statistical software
1:54pm •
The simulator: An Engine for Streamlining Simulations
2:12pm •
Providing Digital Provenance: from Modeling through Production
Econ 140
10:30am •
Profvis: Profiling tools for faster R code
10:48am •
Size of Datasets for Analytics and Implications for R
11:06am •
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO
11:24am •
Grid Computing in R with Easy Scalability
11:42am •
Interactive Terabytes with pbdR
1:00pm •
mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB)
1:18pm •
Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics
1:36pm •
Simulation and power analysis of generalized linear mixed models
1:54pm •
Approximate inference in R: A case study with GLMMs and glmmsr
2:12pm •
brglm: Reduced-bias inference in generalized linear models
Lane & Lyons & Lodato
10:30am •
Predicting individual treatment effects
10:48am •
Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package
11:06am •
An embedded domain-specific language for ODE-based drug-disease modeling and simulation
11:24am •
The phangorn package: estimating and comparing phylogenetic trees
11:42am •
Multivoxel Pattern Analysis of fMRI Data
1:00pm •
R at Google
1:20pm •
How Teradata Aster R Scales Data Science
1:30pm •
Statistical Computing with R
1:40pm •
Changing lives with Data Science at Microsoft
1:55pm •
Bringing the Power of R to Citizen Data Scientists
2:05pm •
Making the R community more open
McCaw Hall
8:00am •
Registration check-in
9:00am •
Towards a grammar of interactive graphics
10:00am •
Coffee Break with Poster Exhibits
10:30am •
Notebooks with R Markdown
10:48am •
Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R
11:06am •
On the emergence of R as a platform for emergency outbreak response
11:24am •
Network Diffusion of Innovations in R: Introducing netdiffuseR
11:42am •
Classifying Murderers in Imbalanced Data Using randomForest
12:00pm •
Lunch with Poster Exhibits
1:00pm •
R markdown: Lifesaver or death trap?
1:18pm •
A Lap Around R Tools for Visual Studio
1:36pm •
Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider
1:54pm •
How to do one's taxes with R
2:12pm •
Using R in a regulatory environment: FDA experiences.
2:30pm •
Coffee Break with Poster Session
3:30pm •
Flexible and Interpretable Regression Using Convex Penalties
4:30pm •
Cruise & Conference Dinner
SIEPR 120
10:30am •
Empowering Business Users with Shiny
10:35am •
Bespoke eStyle Statistical Training for Africa: challenges and opportunities of developing an online course
10:40am •
Tie-ins between R and Openstreetmap data
10:45am •
MAVIS: Meta Analysis via Shiny
10:50am •
madness: multivariate automatic differentiation in R
10:55am •
rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports
11:00am •
Text Mining and Sentiment Extraction in Central Bank Documents
11:05am •
Maximum Monte Carlo likelihood estimation of conditional auto-regression models
11:10am •
Scaling R for Business Analytics
11:15am •
Building a High Availability REST API Engine for R
11:20am •
Automated clinical research tracking and assessment using R-Shiny
11:25am •
FirebrowseR an 'API' Client for Broads 'Firehose' Pipeline
11:30am •
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
11:35am •
R's Role in Healthcare Data: Exploration, Visualization and Presentation
11:40am •
Chunked, dplyr for large text files
11:45am •
Automated risk calculation in clinical practice and research - the riskscorer package
1:00pm •
A spatial policy tool for cycling potential in England
1:18pm •
SpatialProbit for fast and accurate spatial probit estimations
1:36pm •
Revisiting the Boston data set (Harrison and Rubinfeld, 1978)
1:54pm •
Spatial data in R: simple features and future perspectives
2:12pm •
High performance climate downscaling in R
SIEPR 130
10:30am •
Importing modern data into R
10:48am •
ETL for medium data
11:06am •
Efficient tabular data ingestion and manipulation with MonetDBLite
11:24am •
Efficient in-memory non-equi joins using data.table
11:42am •
Exploring the R / SQL boundary
1:00pm •
Run-time Testing Using assertive
1:18pm •
Tools for Robust R Packages
1:36pm •
Extending CRAN packages with binaries: x13binary
1:54pm •
Checkmate: Fast and Versatile Argument Checks
Sponsor Pavilion
2:30pm •
Logistic modelling of increased antibacterial resistance with sales
2:30pm •
hurdlr: An R package for zero-inflated and over-dispersed count data
2:30pm •
Time Flies - Use R to Analyze the Changing Airline Industry
2:30pm •
Developing R Tools for Energy Data Analysis
2:30pm •
Presidential Rankings: Visualization and Comparisons
2:30pm •
Approaches to R education in Canadian universities
2:30pm •
Monitoring nonlinear profiles with R: an application to Quality Control
2:30pm •
Predicting protein kinase substrates in R
2:30pm •
Data Quality Profiling - The First Step with New Data
2:30pm •
Energy prediction and load shaping for buildings
2:30pm •
Bayesian inference for Internet ratings data using R
2:30pm •
Multiple-Output Quantile Regression in R
2:30pm •
The markovchain R package
2:30pm •
MethylMix 2.0: a bivariate Gaussian mixture model for identifying methylation driven genes
2:30pm •
ALZCan: Predicting Future Onset of Alzheimer's Using Gender, Genetics, Cognitive Tests, CSF Biomarkers, and Resting State fMRI Brain Imaging
2:30pm •
request: A DSL for http requests
2:30pm •
Transforming R Into an Enterprise Level Tool for Multi-Genre Data Discovery and Operationalization
2:30pm •
The Use of Ensemble Learning Methods in Open Source Data Challenges
2:30pm •
Analyzing and visualizing spatially and temporally variable floodplain inundation
2:30pm •
Giving a boost to renewable energy development: predicting reef fish community distributions in the Main Hawaiian Islands using boosted regression trees
2:30pm •
Web-based automated personalized homework with WebWork and R
2:30pm •
Educational Disparities, Biomedical Efficacy and Science Knowledge Gaps: can the Internet help us reduce these inequalities?
2:30pm •
ROSETTAHUB, the next generation data science platform
2:30pm •
Reproducible research works_with_R
2:30pm •
Helping Non-programmers Use R
2:30pm •
Statistical assessment of the similarity of amino-acid sequences
2:30pm •
Encounters of the Chinook kind: visualizing fish movement with R
2:30pm •
Partition-Assisted Clustering: Application to High-Dimensional Multi-Sample Single-Cell Data Analysis
2:30pm •
Rapid development of shiny apps for in-house data mining in biological data
2:30pm •
Plotting for Marketers - Seeing the Story
2:30pm •
Social Vulnerability to Climate Change: Automation and Validation of Indices
2:30pm •
Profile Analysis of Multivariate Data Using the profileR Package
Thursday
, June 30
Barnes & McDowell & Cranston
10:30am •
swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl
10:48am •
Dynamic Data in the Statistics Classroom
11:06am •
Using Shiny for Formative Assessments
11:24am •
Revolutionize how you teach and blog: add interactivity
11:42am •
Using Jupyter notebooks with R in the classroom
Econ 140
10:30am •
A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data
10:35am •
Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST)
10:40am •
Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package
10:45am •
Clustering of Hierarchically-Linked Multivariate Datasets
10:50am •
NetworkRiskMeasures: risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.
10:55am •
GeoFIS: an R-based open source software for analyzing and zoning spatial data
11:05am •
Using R at a rapidly scaling healthcare technology startup
11:10am •
Event Detection with Social Media Data
11:15am •
Convenient educational & psychological test reporting with the QME package & a Shiny UI
11:25am •
Outlier Detection Methods
11:30am •
gtfsr: A package to make transit system analysis easy
11:35am •
Handling Huge Hierachical Data in R
11:40am •
rfmt - A new formatter for R source code
Lane & Lyons & Lodato
10:30am •
Gradient Boosted Trees Model: deploying R models into production environments*
10:50am •
ranger: A fast implementation of random forests for high dimensional data
11:08am •
Superheat: Supervised heatmaps for visualizing complex data
11:26am •
Big data algorithms for rank-based estimation
1:00pm •
Catching up with Rstudio
1:20pm •
R for Big Data and Applications: Using R at Oracle
1:35pm •
Scalable Machine Learning in R with H2O
McCaw Hall
9:00am •
Statistical Thinking in a Data Science Course
10:00am •
Coffee Break w/ Poster Exhibits
10:30am •
Shiny Gadgets: Interactive tools for Programming and Data Analysis
10:48am •
Authoring Books with R Markdown
11:06am •
Estimation of causal effects in network-dependent data
11:24am •
DataSHIELD: Taking the analysis to the data
11:42am •
Most Likely Transformations
12:00pm •
Lunch w/ Poster Exhibits
1:00pm •
Estimating causal dose response functions using the causaldrf R package
1:15pm •
Getting R into your bathroom
1:25pm •
Two Cultures: From Stata to R
1:30pm •
The Best Time to Post on Reddit
1:35pm •
Interact with Python from within R
1:40pm •
Let's meet on satRday!
1:45pm •
Optimizing Food Inspections with Analytics
2:00pm •
RCloud - Collaborative Environment for Visualization and Big Data Analytics
3:00pm •
Closing Remarks
SIEPR 130
10:30am •
Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape
10:48am •
Practical tools for exploratory web graphics
11:06am •
viztrackr: Tracking and discovering plots via automatic semantic annotations
11:24am •
ggduo: Pairs plot for two group data
11:42am •
rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics
1:00pm •
Hash Tables in R are Slow
1:05pm •
Visualization of Uncertainty for Longitudinal Data
1:10pm •
Scalable semi-parametric regression with mgcv package and bam procedure
1:15pm •
Peirce--theory-of-signs in R
1:20pm •
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
1:25pm •
Weather Alerts Data with R
1:30pm •
Thinking about Energy Markets with interactivity
1:35pm •
Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R
1:40pm •
Interactive dashboards for visual quality control of air quality data
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Jun 27
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30, 2016
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Stanford, CA, United States
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Barnes
Barnes & McDowell & Cranston
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Econ 140
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McCaw Hall
McDowell & Cranston
SIEPR 120
SIEPR 130
Sponsor Pavilion
Wallenberg Hall 124
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R Initiatives
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Dates
Monday
, June 27
Tuesday
, June 28
Wednesday
, June 29
Thursday
, June 30
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All
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Analytics
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Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
Teaching
Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
All
Lightning Talk
Poster
All
Group 1
Group 2
R Initiatives
All
R Initiatives
Sponsor Session
All
Part 1
Part 2
Tutorial
All
Afternoon
Morning
Venues
Barnes
Barnes & McDowell & Cranston
Bing Concert Hall
Campbell Rehearsal Hall
Econ 140
Lane
Lane & Lyons & Lodato
Lyons & Lodato
McCaw Hall
McDowell & Cranston
SIEPR 120
SIEPR 130
Sponsor Pavilion
Wallenberg Hall 124
