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Sonia V. Smith
Unaffiliated
Software Engineer
Reston, VA, USA
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Small Area Estimation with R (Part 1)
Lane
10:15am PDT
Coffee Break
Barnes
10:30am PDT
Small Area Estimation with R (Part 2)
Lane
12:00pm PDT
Lunch
Econ 140
1:00pm PDT
Introduction to SparkR (Part 1)
Econ 140
2:30pm PDT
Introduction to SparkR (Part 2)
Econ 140
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
Tuesday
, June 28
8:30am PDT
Opening Session
McCaw Hall
9:00am PDT
Forty years of S
McCaw Hall
10:30am PDT
Using Spark with Shiny and R Markdown
SIEPR 130
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
Distributed Computing using parallel, Distributed R, and SparkR
SIEPR 130
1:18pm PDT
Transforming a museum to be data-driven using R
McCaw Hall
1:36pm PDT
What can R learn from Julia
Lane & Lyons & Lodato
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Integrating R & Tableau
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
5:21pm PDT
broom: Converting statistical models to tidy data frames
McCaw Hall
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
Importing modern data into R
SIEPR 130
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:24am PDT
Efficient in-memory non-equi joins using data.table
SIEPR 130
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
Reusable R for automation, small area estimation and legacy systems
Barnes & McDowell & Cranston
1:36pm PDT
Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider
McCaw Hall
1:54pm PDT
Approximate inference in R: A case study with GLMMs and glmmsr
Econ 140
2:12pm PDT
Using R in a regulatory environment: FDA experiences.
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
Practical tools for exploratory web graphics
SIEPR 130
11:06am PDT
Using Shiny for Formative Assessments
Barnes & McDowell & Cranston
11:26am PDT
Big data algorithms for rank-based estimation
Lane & Lyons & Lodato
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
1:35pm PDT
Scalable Machine Learning in R with H2O
Lane & Lyons & Lodato
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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30, 2016
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Stanford, CA, United States
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Daniela Witten
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R Initiatives
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Longyi Bi
Diane Grill
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Colin Gillespie
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JP
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