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Christopher Valle
Excelsior College
Senior Data Analyst
Albany, NY
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Machine Learning Algorithmic Deep Dive (Part 1)
Campbell Rehearsal Hall
10:30am PDT
Machine Learning Algorithmic Deep Dive (Part 2)
Campbell Rehearsal Hall
12:00pm PDT
Lunch
SIEPR 120
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
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
bamdit: An R Package for Bayesian meta-analysis of diagnostic test data
Barnes & McDowell & Cranston
10:48am PDT
Connecting R to the OpenML project for Open Machine Learning
McCaw Hall
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
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:00pm PDT
Linking htmlwidgets with crosstalk and mobservable
McCaw Hall
1:18pm PDT
htmlwidgets: Power of JavaScript in R
Lane & Lyons & Lodato
1:36pm PDT
Introducing Statistics with intRo
SIEPR 130
1:54pm PDT
Zero-overhead integration of R, JS, Ruby and C/C++
Lane & Lyons & Lodato
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
Coffee Break w/ Poster Session
McCaw Hall
Multi-stage Decision Method To Generate Rules For Student Retention
Sponsor Pavilion
RCAP Designer: An RCloud Package to create Analytical Dashboards
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
R at Microsoft
McCaw Hall
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
5:21pm PDT
Data validation infrastructure: the validate package
Barnes & McDowell & Cranston
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
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
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
Notebooks with R Markdown
McCaw Hall
Predicting individual treatment effects
Lane & Lyons & Lodato
10:48am PDT
Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package
Lane & Lyons & Lodato
permuter: An R package for randomization inference
Barnes & McDowell & Cranston
11:05am PDT
Maximum Monte Carlo likelihood estimation of conditional auto-regression models
SIEPR 120
11:06am PDT
An embedded domain-specific language for ODE-based drug-disease modeling and simulation
Lane & Lyons & Lodato
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:15am PDT
Building a High Availability REST API Engine for R
SIEPR 120
11:20am PDT
Automated clinical research tracking and assessment using R-Shiny
SIEPR 120
11:24am PDT
Efficient in-memory non-equi joins using data.table
SIEPR 130
Grid Computing in R with Easy Scalability
Econ 140
11:35am PDT
R's Role in Healthcare Data: Exploration, Visualization and Presentation
SIEPR 120
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
Exploring the R / SQL boundary
SIEPR 130
11:45am PDT
Automated risk calculation in clinical practice and research - the riskscorer package
SIEPR 120
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
R at Google
Lane & Lyons & Lodato
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
Tools for Robust R Packages
SIEPR 130
1:20pm PDT
How Teradata Aster R Scales Data Science
Lane & Lyons & Lodato
1:30pm PDT
Statistical Computing with R
Lane & Lyons & Lodato
1:36pm PDT
Simulation and power analysis of generalized linear mixed models
Econ 140
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
1:55pm PDT
Bringing the Power of R to Citizen Data Scientists
Lane & Lyons & Lodato
2:12pm PDT
Providing Digital Provenance: from Modeling through Production
Barnes & McDowell & Cranston
2:30pm PDT
Web-based automated personalized homework with WebWork and R
Sponsor Pavilion
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
Gradient Boosted Trees Model: deploying R models into production environments*
Lane & Lyons & Lodato
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
Practical tools for exploratory web graphics
SIEPR 130
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
11:06am PDT
Using Shiny for Formative Assessments
Barnes & McDowell & Cranston
11:15am PDT
Convenient educational & psychological test reporting with the QME package & a Shiny UI
Econ 140
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
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
1:35pm PDT
Interact with Python from within R
McCaw Hall
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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Break
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Analytics
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Generalized and mixed models
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R & other languages
R in business
Regression
Reproducible research
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
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Group 1
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R Initiatives
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R Initiatives
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