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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
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Part 1
Part 2
Tutorial
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Afternoon
Morning
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ED
Ewoud De Troyer
Hasselt University (Center of Statistics)
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
Campbell Rehearsal Hall
10:30am PDT
Machine Learning Algorithmic Deep Dive (Part 2)
Campbell Rehearsal Hall
12:00pm PDT
Lunch
Campbell Rehearsal Hall
1:00pm PDT
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
2:15pm PDT
Coffee Break
McDowell & Cranston
2:30pm PDT
Understanding and creating interactive graphics (Part 2)
McDowell & Cranston
4:00pm PDT
Short Break
McCaw Hall
4:15pm PDT
What's up with the R consortium?
McCaw Hall
4:40pm PDT
Presentation of the Women in R task force
McCaw Hall
5:00pm PDT
R-Ladies Presentation 1
McCaw Hall
5:10pm PDT
R-Ladies Presentation 2
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
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
htmlwidgets: Power of JavaScript in R
Lane & Lyons & Lodato
1:36pm PDT
What can R learn from Julia
Lane & Lyons & Lodato
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
Applied Biclustering Using the BiclustGUI R Package
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
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
Using Shiny modules to build more-complex and more-manageable apps
Lane & Lyons & Lodato
5:39pm PDT
Rho: High Performance R
McCaw Hall
5:57pm PDT
Colour schemes in data visualisation: Bias and Precision
McCaw Hall
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
Profvis: Profiling tools for faster R code
Econ 140
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
Run-time Testing Using assertive
SIEPR 130
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:36pm PDT
Extending CRAN packages with binaries: x13binary
SIEPR 130
1:54pm PDT
Checkmate: Fast and Versatile Argument Checks
SIEPR 130
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
Approaches to R education in Canadian universities
Sponsor Pavilion
Helping Non-programmers Use R
Sponsor Pavilion
Reproducible research works_with_R
Sponsor Pavilion
3:30pm PDT
Flexible and Interpretable Regression Using Convex Penalties
McCaw Hall
4:30pm PDT
Cruise & Conference Dinner
McCaw Hall
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:00am PDT
Coffee Break w/ Poster Exhibits
McCaw Hall
10:30am PDT
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
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
11:26am PDT
Big data algorithms for rank-based estimation
Lane & Lyons & Lodato
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
1:30pm PDT
The Best Time to Post on Reddit
McCaw Hall
1:35pm PDT
Interact with Python from within R
McCaw Hall
1:40pm PDT
Let's meet on satRday!
McCaw Hall
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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, June 28
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, June 30
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Stanford, CA, United States
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Econ 140
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McDowell & Cranston
SIEPR 120
SIEPR 130
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Break
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Break
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Closing
Cruise & Dinner
Opening
Registration
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All
Analytics
Bayesian
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Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
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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
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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
Tutorial
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Afternoon
Morning
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Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
John Painter
Gabriela de Queiroz
Joe Cheng
Kevin Ushey
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