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Break
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Break
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All
Closing
Cruise & Dinner
Opening
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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
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Part 1
Part 2
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Afternoon
Morning
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Back to Speakers
EO
Eric Olson
Microsoft
Senior Data Scientist
Redmond, WA
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Dynamic Documents with R Markdown (Part 1)
SIEPR 130
10:15am PDT
Coffee Break
SIEPR 130
10:30am PDT
Dynamic Documents with R Markdown (Part 2)
SIEPR 130
12:00pm PDT
Lunch
SIEPR 130
1:00pm PDT
Missing Value Imputation with R (Part 1)
Barnes
2:15pm PDT
Coffee Break
Lyons & Lodato
2:30pm PDT
Missing Value Imputation with R (Part 2)
Barnes
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
Tuesday
, June 28
8:00am PDT
Registration check-in
McCaw Hall
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
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
11:06am PDT
Bayesian analysis of generalized linear mixed models with JAGS
Barnes & McDowell & Cranston
11:24am PDT
Distributed Computing using parallel, Distributed R, and SparkR
SIEPR 130
11:42am PDT
FlashR: Enable Parallel, Scalable Data Analysis in R
SIEPR 130
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:00pm PDT
Continuous Integration and Teaching Statistical Computing with R
SIEPR 130
1:36pm PDT
bigKRLS: Optimizing non-parametric regression in R
Barnes & McDowell & Cranston
1:54pm PDT
A first-year undergraduate data science course
SIEPR 130
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
R Microplots in Tables with the latex() Function
Sponsor Pavilion
Sequence Analysis with Package TraMineR
Sponsor Pavilion
Statistics and R for Analysis of Elimination Tournaments
Sponsor Pavilion
Video Tutorials in Introductory Statistics Instruction
Sponsor Pavilion
Writing a dplyr backend to support out-of-memory data for Microsoft R Server
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
5:03pm PDT
When will this machine fail?
SIEPR 120
5:21pm PDT
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
SIEPR 130
5:39pm PDT
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
5:57pm PDT
Rectools: An Advanced Recommender System
SIEPR 130
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
8:00am PDT
Registration check-in
McCaw Hall
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
11:00am PDT
Text Mining and Sentiment Extraction in Central Bank Documents
SIEPR 120
11:05am PDT
Maximum Monte Carlo likelihood estimation of conditional auto-regression models
SIEPR 120
11:42am PDT
Exploring the R / SQL boundary
SIEPR 130
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
1:54pm PDT
How to do one's taxes with R
McCaw Hall
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
Approaches to R education in Canadian universities
Sponsor Pavilion
Bayesian inference for Internet ratings data using R
Sponsor Pavilion
Presidential Rankings: Visualization and Comparisons
Sponsor Pavilion
Reproducible research works_with_R
Sponsor Pavilion
The markovchain R package
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
10:00am PDT
Coffee Break w/ Poster Exhibits
McCaw Hall
10:30am PDT
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
11:25am PDT
Outlier Detection Methods
Econ 140
11:40am PDT
rfmt - A new formatter for R source code
Econ 140
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
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Jun 27
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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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Database
Generalized and mixed models
Graphics
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R & other languages
R in business
Regression
Reproducible research
Spatial
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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
Poster
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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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Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
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