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Eina Ooka
The Energy Authority
Bellevue, WA
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Dynamic Documents with R Markdown (Part 1)
SIEPR 130
10:30am PDT
Dynamic Documents with R Markdown (Part 2)
SIEPR 130
1:00pm PDT
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1)
Lane
2:30pm PDT
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
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
R in machine learning competitions
McCaw Hall
10:48am PDT
Implementing R in old economy companies: From proof-of-concept to production
Econ 140
11:06am PDT
Taking R to new heights for scalability and performance
SIEPR 130
11:24am PDT
Fitting complex Bayesian models with R-INLA and MCMC
Barnes & McDowell & Cranston
11:42am PDT
jailbreakr: Get out of Excel, free
McCaw Hall
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:00pm PDT
Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform
SIEPR 120
Linking htmlwidgets with crosstalk and mobservable
McCaw Hall
1:18pm PDT
Experiences on the Use of R in the Water Sector
SIEPR 120
Fast additive quantile regression in R
Barnes & McDowell & Cranston
1:36pm PDT
A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho
SIEPR 120
1:54pm PDT
Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny
SIEPR 120
2:12pm PDT
Detection of Differential Item Functioning with difNLR function
Barnes & McDowell & Cranston
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
All-inclusive but Practical Multivariate Stochastic Forecasting for Electric Utility Portfolio
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
McCaw Hall
4:45pm PDT
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
R at Microsoft
McCaw Hall
5:03pm PDT
Inside the Rent Zestimates
Barnes & McDowell & Cranston
5:21pm PDT
Data validation infrastructure: the validate package
Barnes & McDowell & Cranston
5:39pm PDT
RServer: Operationalizing R at Electronic Arts
Barnes & McDowell & Cranston
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
5:57pm PDT
Colour schemes in data visualisation: Bias and Precision
McCaw Hall
Rethinking R Documentation: an extension of the lint package
Econ 140
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
Importing modern data into R
SIEPR 130
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
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO
Econ 140
11:24am PDT
Efficient in-memory non-equi joins using data.table
SIEPR 130
Grid Computing in R with Easy Scalability
Econ 140
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:42am PDT
Exploring the R / SQL boundary
SIEPR 130
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
R markdown: Lifesaver or death trap?
McCaw Hall
R at Google
Lane & Lyons & Lodato
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:20pm PDT
How Teradata Aster R Scales Data Science
Lane & Lyons & Lodato
1:36pm PDT
GNU make for reproducible data analysis using R and other statistical software
Barnes & McDowell & Cranston
1:40pm PDT
Changing lives with Data Science at Microsoft
Lane & Lyons & Lodato
1:54pm PDT
The simulator: An Engine for Streamlining Simulations
Barnes & McDowell & Cranston
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:12pm PDT
High performance climate downscaling in R
SIEPR 120
Providing Digital Provenance: from Modeling through Production
Barnes & McDowell & Cranston
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
Analyzing and visualizing spatially and temporally variable floodplain inundation
Sponsor Pavilion
Data Quality Profiling - The First Step with New Data
Sponsor Pavilion
Developing R Tools for Energy Data Analysis
Sponsor Pavilion
Energy prediction and load shaping for buildings
Sponsor Pavilion
The markovchain R package
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
10:00am PDT
Coffee Break w/ Poster Exhibits
McCaw Hall
10:30am PDT
Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape
SIEPR 130
Gradient Boosted Trees Model: deploying R models into production environments*
Lane & Lyons & Lodato
10:48am PDT
Practical tools for exploratory web graphics
SIEPR 130
11:06am PDT
Estimation of causal effects in network-dependent data
McCaw Hall
11:25am PDT
Outlier Detection Methods
Econ 140
11:26am PDT
Big data algorithms for rank-based estimation
Lane & Lyons & Lodato
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
11:42am PDT
rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics
SIEPR 130
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
1:25pm PDT
Weather Alerts Data with R
SIEPR 130
1:30pm PDT
Thinking about Energy Markets with interactivity
SIEPR 130
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
3:00pm PDT
Closing Remarks
McCaw Hall
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Break
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Generalized and mixed models
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R & other languages
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Reproducible research
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
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Group 1
Group 2
R Initiatives
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Longyi Bi
Diane Grill
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Colin Gillespie
KG
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JP
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