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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
Benno Pütz
Max-Planck-Institute of Psychiatry
Senior Scientist
Munich Area, Germany
Tuesday
, June 28
10:30am PDT
R in machine learning competitions
McCaw Hall
10:48am PDT
Connecting R to the OpenML project for Open Machine Learning
McCaw Hall
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
11:06am PDT
trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R
McCaw Hall
11:24am PDT
Distributed Computing using parallel, Distributed R, and SparkR
SIEPR 130
Fry: A Fast Interactive Biological Pathway Miner
Lane & Lyons & Lodato
11:42am PDT
FlashR: Enable Parallel, Scalable Data Analysis in R
SIEPR 130
jailbreakr: Get out of Excel, free
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
1:54pm PDT
Zero-overhead integration of R, JS, Ruby and C/C++
Lane & Lyons & Lodato
2:12pm PDT
RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark
Lane & Lyons & Lodato
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
5:21pm PDT
Using Shiny modules to build more-complex and more-manageable apps
Lane & Lyons & Lodato
5:39pm PDT
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
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
Notebooks with R Markdown
McCaw Hall
10:48am PDT
Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R
McCaw Hall
11:06am PDT
Efficient tabular data ingestion and manipulation with MonetDBLite
SIEPR 130
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:42am PDT
Multivoxel Pattern Analysis of fMRI Data
Lane & Lyons & Lodato
1:00pm PDT
R markdown: Lifesaver or death trap?
McCaw Hall
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:36pm PDT
GNU make for reproducible data analysis using R and other statistical software
Barnes & McDowell & Cranston
1:54pm PDT
How to do one's taxes with R
McCaw Hall
2:12pm PDT
Using R in a regulatory environment: FDA experiences.
McCaw Hall
2:30pm PDT
Data Quality Profiling - The First Step with New Data
Sponsor Pavilion
Helping Non-programmers Use R
Sponsor Pavilion
MethylMix 2.0: a bivariate Gaussian mixture model for identifying methylation driven genes
Sponsor Pavilion
Predicting protein kinase substrates in R
Sponsor Pavilion
Rapid development of shiny apps for in-house data mining in biological data
Sponsor Pavilion
The Use of Ensemble Learning Methods in Open Source Data Challenges
Sponsor Pavilion
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
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
11:06am PDT
viztrackr: Tracking and discovering plots via automatic semantic annotations
SIEPR 130
11:08am PDT
Superheat: Supervised heatmaps for visualizing complex data
Lane & Lyons & Lodato
11:24am PDT
Revolutionize how you teach and blog: add interactivity
Barnes & McDowell & Cranston
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
1:35pm PDT
Interact with Python from within R
McCaw Hall
Scalable Machine Learning in R with H2O
Lane & Lyons & Lodato
2:00pm PDT
RCloud - Collaborative Environment for Visualization and Big Data Analytics
McCaw Hall
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Jun 27
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30, 2016
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, June 28
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, June 29
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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
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Wallenberg Hall 124
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Break
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Break
Conference event
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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
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Lightning Talk
Poster
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Group 1
Group 2
R Initiatives
All
R Initiatives
Sponsor Session
All
Part 1
Part 2
Tutorial
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Afternoon
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Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
John Painter
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Joe Cheng
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