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Andy Galdi
Philadelphia Phillies
Director, Baseball Research & Development
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Dynamic Documents with R Markdown (Part 1)
SIEPR 130
Handling and analyzing spatial, spatiotemporal and movement data (Part 1)
SIEPR 120
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1)
Econ 140
10:30am PDT
Dynamic Documents with R Markdown (Part 2)
SIEPR 130
Handling and analyzing spatial, spatiotemporal and movement data (Part 2)
SIEPR 120
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2)
Econ 140
1:00pm PDT
Effective Shiny Programming (Part 1)
McCaw Hall
Extracting data from the web APIs and beyond (Part 1)
Campbell Rehearsal Hall
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1)
Lane
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
Using R with Jupyter notebooks for reproducible research (Part 1)
SIEPR 120
2:30pm PDT
Effective Shiny Programming (Part 2)
McCaw Hall
Extracting data from the web APIs and beyond (Part 2)
Campbell Rehearsal Hall
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2)
Lane
Understanding and creating interactive graphics (Part 2)
McDowell & Cranston
Using R with Jupyter notebooks for reproducible research (Part 2)
SIEPR 120
Tuesday
, June 28
8:00am PDT
Registration check-in
McCaw Hall
10:48am PDT
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
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
ETL for medium data
SIEPR 130
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
1:00pm PDT
A spatial policy tool for cycling potential in England
SIEPR 120
Run-time Testing Using assertive
SIEPR 130
1:18pm PDT
SpatialProbit for fast and accurate spatial probit estimations
SIEPR 120
1:36pm PDT
Simulation and power analysis of generalized linear mixed models
Econ 140
1:54pm PDT
How to do one's taxes with R
McCaw Hall
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:30am PDT
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
10:48am PDT
Practical tools for exploratory web graphics
SIEPR 130
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
11:42am PDT
rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics
SIEPR 130
Using Jupyter notebooks with R in the classroom
Barnes & McDowell & Cranston
1:00pm PDT
Estimating causal dose response functions using the causaldrf R package
McCaw Hall
Catching up with Rstudio
Lane & Lyons & Lodato
1:35pm PDT
Interact with Python from within R
McCaw Hall
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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Stanford, CA, United States
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Wallenberg Hall 124
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Database
Generalized and mixed models
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R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
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Group 1
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R Initiatives
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R Initiatives
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Longyi Bi
Diane Grill
Tom Hay
Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
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