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Break
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Closing
Cruise & Dinner
Opening
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Welcome Reception
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All
Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
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Machine Learning
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R & other languages
R in business
Regression
Reproducible research
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Statistical Methods & Application
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
Poster
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Group 1
Group 2
R Initiatives
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R Initiatives
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Part 1
Part 2
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Back to Speakers
TB
Tom Burk
University of Minnesota
Professor
St. Paul, MN
Monday
, June 27
9:00am PDT
Using Git and GitHub with R, Rstudio, and R Markdown (Part 1)
Lyons & Lodato
10:30am PDT
Using Git and GitHub with R, Rstudio, and R Markdown (Part 2)
Lyons & Lodato
1:00pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1)
SIEPR 130
2:30pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2)
SIEPR 130
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
Compiling parts of R using the NIMBLE system for programming algorithms
Barnes & McDowell & Cranston
11:06am PDT
Bayesian analysis of generalized linear mixed models with JAGS
Barnes & McDowell & Cranston
11:24am PDT
Automating our work away: One consulting firm's experience with KnitR
Econ 140
11:42am PDT
bayesboot: An R package for easy Bayesian bootstrapping
Barnes & McDowell & Cranston
jailbreakr: Get out of Excel, free
McCaw Hall
1:00pm PDT
Continuous Integration and Teaching Statistical Computing with R
SIEPR 130
1:18pm PDT
Fast additive quantile regression in R
Barnes & McDowell & Cranston
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
Teaching R to 200 people in a week
SIEPR 130
Wrap your model in an R package!
SIEPR 120
2:30pm PDT
Video Tutorials in Introductory Statistics Instruction
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
R at Microsoft
McCaw Hall
5:03pm PDT
New Paradigms In Shiny App Development: Designer + Data Scientist Pairing
Lane & Lyons & Lodato
5:21pm PDT
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
SIEPR 130
5:39pm PDT
Differential equation-based models in R: An approach to simplicity and performance
SIEPR 120
5:57pm PDT
Rethinking R Documentation: an extension of the lint package
Econ 140
Visual Pruner: A Shiny app for cohort selection in observational studies
Lane & Lyons & Lodato
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
Notebooks with R Markdown
McCaw Hall
10:48am PDT
Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R
McCaw Hall
11:06am PDT
An embedded domain-specific language for ODE-based drug-disease modeling and simulation
Lane & Lyons & Lodato
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
1:00pm PDT
R at Google
Lane & Lyons & Lodato
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
1:30pm PDT
Statistical Computing with R
Lane & Lyons & Lodato
1:54pm PDT
Spatial data in R: simple features and future perspectives
SIEPR 120
1:55pm PDT
Bringing the Power of R to Citizen Data Scientists
Lane & Lyons & Lodato
2:12pm PDT
Using R in a regulatory environment: FDA experiences.
McCaw Hall
2:30pm PDT
Approaches to R education in Canadian universities
Sponsor Pavilion
Bayesian inference for Internet ratings data using R
Sponsor Pavilion
Helping Non-programmers Use R
Sponsor Pavilion
Multiple-Output Quantile Regression in R
Sponsor Pavilion
Rapid development of shiny apps for in-house data mining in biological data
Sponsor Pavilion
Reproducible research works_with_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
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
11:06am PDT
viztrackr: Tracking and discovering plots via automatic semantic annotations
SIEPR 130
11:24am PDT
Revolutionize how you teach and blog: add interactivity
Barnes & McDowell & Cranston
11:42am PDT
Using Jupyter notebooks with R in the classroom
Barnes & McDowell & Cranston
1:00pm PDT
Catching up with Rstudio
Lane & Lyons & Lodato
1:05pm PDT
Visualization of Uncertainty for Longitudinal Data
SIEPR 130
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
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
Timezone
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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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Analytics
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R & other languages
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
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Lightning Talk
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Group 1
Group 2
R Initiatives
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R Initiatives
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Colin Gillespie
KG
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David Smith
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JP
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