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Analytics
Bayesian
Bioinformatics
Case study
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Generalized and mixed models
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Machine Learning
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R & other languages
R in business
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Statistics & Big Data
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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
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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
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Back to Speakers
Craig Frizzell
Johnson Controls, Inc.
Senior Data Analyst
Milwaukee, WI
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
bamdit: An R Package for Bayesian meta-analysis of diagnostic test data
Barnes & McDowell & Cranston
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
Bayesian analysis of generalized linear mixed models with JAGS
Barnes & McDowell & Cranston
R: The last line of defense against bad debt
Econ 140
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
How can I get everyone else in my organisation to love R as much as I do?
Econ 140
jailbreakr: Get out of Excel, free
McCaw Hall
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:00pm PDT
Continuous Integration and Teaching Statistical Computing with R
SIEPR 130
1:18pm PDT
Integrated R labs for high school students
SIEPR 130
Transforming a museum to be data-driven using R
McCaw Hall
1:36pm PDT
Introducing Statistics with intRo
SIEPR 130
1:54pm PDT
A first-year undergraduate data science course
SIEPR 130
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
Teaching R to 200 people in a week
SIEPR 130
2:30pm PDT
Integrating R & Tableau
Sponsor Pavilion
mvarVis: An R package for Visualization of Multivariate Analysis Results
Sponsor Pavilion
Statistics and R for Analysis of Elimination Tournaments
Sponsor Pavilion
Video Tutorials in Introductory Statistics Instruction
Sponsor Pavilion
Visualizations and Machine Learning in R with Tessera and Shiny
Sponsor Pavilion
3:30pm PDT
Literate Programming
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
broom: Converting statistical models to tidy data frames
McCaw Hall
5:39pm PDT
RServer: Operationalizing R at Electronic Arts
Barnes & McDowell & Cranston
5:57pm PDT
Applying R in streaming and Business Intelligence applications
Barnes & McDowell & Cranston
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
ETL for medium data
SIEPR 130
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
Efficient in-memory non-equi joins using data.table
SIEPR 130
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
Exploring the R / SQL boundary
SIEPR 130
1:00pm PDT
R markdown: Lifesaver or death trap?
McCaw Hall
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:36pm PDT
Simulation and power analysis of generalized linear mixed models
Econ 140
1:54pm PDT
The simulator: An Engine for Streamlining Simulations
Barnes & McDowell & Cranston
2:30pm PDT
Bayesian inference for Internet ratings data using R
Sponsor Pavilion
Data Quality Profiling - The First Step with New Data
Sponsor Pavilion
Developing R Tools for Energy Data Analysis
Sponsor Pavilion
Helping Non-programmers Use R
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
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
10:40am PDT
Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package
Econ 140
11:05am PDT
Using R at a rapidly scaling healthcare technology startup
Econ 140
11:24am PDT
DataSHIELD: Taking the analysis to the data
McCaw Hall
11:25am PDT
Outlier Detection Methods
Econ 140
1:05pm PDT
Visualization of Uncertainty for Longitudinal Data
SIEPR 130
1:25pm PDT
Two Cultures: From Stata to 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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Jun 27
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30, 2016
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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
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Analytics
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Generalized and mixed models
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R & other languages
R in business
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Reproducible research
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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
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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
John Painter
Gabriela de Queiroz
Joe Cheng
Kevin Ushey
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