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Break
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Break
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All
Closing
Cruise & Dinner
Opening
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Welcome Reception
Contributed talk
All
Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
Machine Learning
Miscellaneous
Packages and Development
Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
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Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
All
Lightning Talk
Poster
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Group 1
Group 2
R Initiatives
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R Initiatives
Sponsor Session
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Part 1
Part 2
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Afternoon
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RL
Rebecca Louise Barter
University of California, Berkeley
Monday
, June 27
9:00am PDT
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1)
Econ 140
10:30am PDT
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2)
Econ 140
1:00pm PDT
Introduction to SparkR (Part 1)
Econ 140
2:30pm PDT
Introduction to SparkR (Part 2)
Econ 140
Tuesday
, June 28
8:30am PDT
Opening Session
McCaw Hall
9:00am PDT
Forty years of S
McCaw Hall
10:30am PDT
Using Spark with Shiny and R Markdown
SIEPR 130
10:48am PDT
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
11:06am PDT
Taking R to new heights for scalability and performance
SIEPR 130
11:24am PDT
Distributed Computing using parallel, Distributed R, and SparkR
SIEPR 130
11:42am PDT
FlashR: Enable Parallel, Scalable Data Analysis in R
SIEPR 130
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:00pm PDT
Linking htmlwidgets with crosstalk and mobservable
McCaw Hall
1:18pm PDT
Transforming a museum to be data-driven using R
McCaw Hall
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
5:03pm PDT
New Paradigms In Shiny App Development: Designer + Data Scientist Pairing
Lane & Lyons & Lodato
5:21pm PDT
Data validation infrastructure: the validate package
Barnes & McDowell & Cranston
5:39pm PDT
R AnalyticFlow 3: Interactive Data Analysis GUI for R
Lane & Lyons & Lodato
5:57pm PDT
Visual Pruner: A Shiny app for cohort selection in observational studies
Lane & Lyons & Lodato
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
OPERA: Online Prediction by ExpeRts Aggregation
Barnes & McDowell & Cranston
10:48am PDT
permuter: An R package for randomization inference
Barnes & McDowell & Cranston
11:06am PDT
Calculation and economic evaluation of acceptance sampling plans
Barnes & McDowell & Cranston
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:42am PDT
Phylogenetically informed analysis of microbiome data using adaptive gPCA in R
Barnes & McDowell & Cranston
1:00pm PDT
R at Google
Lane & Lyons & Lodato
1:20pm PDT
How Teradata Aster R Scales Data Science
Lane & Lyons & Lodato
1:30pm PDT
Statistical Computing with R
Lane & Lyons & Lodato
1:40pm PDT
Changing lives with Data Science at Microsoft
Lane & Lyons & Lodato
1:55pm PDT
Bringing the Power of R to Citizen Data Scientists
Lane & Lyons & Lodato
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
3:30pm PDT
Flexible and Interpretable Regression Using Convex Penalties
McCaw Hall
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:30am PDT
Gradient Boosted Trees Model: deploying R models into production environments*
Lane & Lyons & Lodato
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
11:08am PDT
Superheat: Supervised heatmaps for visualizing complex data
Lane & Lyons & Lodato
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
1:20pm PDT
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
1:35pm PDT
Scalable Machine Learning in R with H2O
Lane & Lyons & Lodato
2:00pm PDT
RCloud - Collaborative Environment for Visualization and Big Data Analytics
McCaw Hall
3:00pm PDT
Closing Remarks
McCaw Hall
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Jun 27
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30, 2016
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SIEPR 120
SIEPR 130
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Wallenberg Hall 124
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Generalized and mixed models
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R & other languages
R in business
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Reproducible research
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Keynote
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
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Lightning Talk
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Group 1
Group 2
R Initiatives
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R Initiatives
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Colin Gillespie
KG
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JP
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