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Break
All
Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
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
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
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Part 1
Part 2
Tutorial
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Afternoon
Morning
Popular
Back to Speakers
Qiang Kou
Indiana University
Indianapolis, Indiana Area
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Machine Learning Algorithmic Deep Dive (Part 1)
Campbell Rehearsal Hall
10:15am PDT
Coffee Break
SIEPR 130
1:00pm PDT
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1)
Lane
2:15pm PDT
Coffee Break
Lyons & Lodato
2:30pm PDT
Introduction to SparkR (Part 2)
Econ 140
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2)
Lane
4:00pm PDT
Short Break
McCaw Hall
4:15pm PDT
What's up with the R consortium?
McCaw Hall
5:20pm PDT
Discussion
McCaw Hall
Tuesday
, June 28
8:30am PDT
Opening Session
McCaw Hall
9:00am PDT
Forty years of S
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
R in machine learning competitions
McCaw Hall
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
1:36pm PDT
What can R learn from Julia
Lane & Lyons & Lodato
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
High-performance R with FastR
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
R at Microsoft
McCaw Hall
5:39pm PDT
Rho: High Performance R
McCaw Hall
RServer: Operationalizing R at Electronic Arts
Barnes & McDowell & Cranston
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:24am PDT
Efficient in-memory non-equi joins using data.table
SIEPR 130
1:00pm PDT
R at Google
Lane & Lyons & Lodato
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
2:30pm PDT
The markovchain R package
Sponsor Pavilion
Thursday
, June 30
1:20pm PDT
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
2:00pm PDT
RCloud - Collaborative Environment for Visualization and Big Data Analytics
McCaw Hall
3:00pm PDT
Closing Remarks
McCaw Hall
Timezone
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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
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Econ 140
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McDowell & Cranston
SIEPR 120
SIEPR 130
Sponsor Pavilion
Wallenberg Hall 124
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Break
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Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
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
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
Popular
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Colin Gillespie
KG
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JP
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