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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
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Afternoon
Morning
Popular
Back to Speakers
Carolyn Clayton
University of Colorado Denver
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Handling and analyzing spatial, spatiotemporal and movement data (Part 1)
SIEPR 120
10:30am PDT
Handling and analyzing spatial, spatiotemporal and movement data (Part 2)
SIEPR 120
1:00pm PDT
Effective Shiny Programming (Part 1)
McCaw Hall
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
2:30pm PDT
Effective Shiny Programming (Part 2)
McCaw Hall
Understanding and creating interactive graphics (Part 2)
McDowell & Cranston
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
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
11:42am PDT
jailbreakr: Get out of Excel, free
McCaw Hall
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:18pm PDT
htmlwidgets: Power of JavaScript in R
Lane & Lyons & Lodato
1:36pm PDT
What can R learn from Julia
Lane & Lyons & Lodato
1:54pm PDT
Zero-overhead integration of R, JS, Ruby and C/C++
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
Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite
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
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
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
11:06am PDT
An embedded domain-specific language for ODE-based drug-disease modeling and simulation
Lane & Lyons & Lodato
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
R markdown: Lifesaver or death trap?
McCaw Hall
1:18pm PDT
How to use the archivist package to boost reproducibility of your research
Barnes & McDowell & Cranston
1:36pm PDT
GNU make for reproducible data analysis using R and other statistical software
Barnes & McDowell & Cranston
1:54pm PDT
Checkmate: Fast and Versatile Argument Checks
SIEPR 130
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
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
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
11:06am PDT
Estimation of causal effects in network-dependent data
McCaw Hall
11:24am PDT
DataSHIELD: Taking the analysis to the data
McCaw Hall
11:42am PDT
Most Likely Transformations
McCaw Hall
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:00pm PDT
Estimating causal dose response functions using the causaldrf R package
McCaw Hall
1:05pm PDT
Visualization of Uncertainty for Longitudinal Data
SIEPR 130
1:15pm PDT
Getting R into your bathroom
McCaw Hall
1:25pm PDT
Two Cultures: From Stata to R
McCaw Hall
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
Interactive dashboards for visual quality control of air quality data
SIEPR 130
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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Econ 140
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McDowell & Cranston
SIEPR 120
SIEPR 130
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Wallenberg Hall 124
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Break
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Break
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Analytics
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Case study
Database
Generalized and mixed models
Graphics
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Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
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Teaching
Keynote
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
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Lightning Talk
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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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