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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
Tutorial
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Afternoon
Morning
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Back to Speakers
Tatjana Kecojevic
University of Central Lancashire, UK
senior lecturer
Monday
, June 27
9:00am PDT
Dynamic Documents with R Markdown (Part 1)
SIEPR 130
10:30am PDT
Dynamic Documents with R Markdown (Part 2)
SIEPR 130
1:00pm PDT
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
2:30pm PDT
Understanding and creating interactive graphics (Part 2)
McDowell & Cranston
Tuesday
, June 28
10:30am PDT
Using Spark with Shiny and R Markdown
SIEPR 130
10:48am PDT
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
11:24am PDT
Distributed Computing using parallel, Distributed R, and SparkR
SIEPR 130
1:18pm PDT
Integrated R labs for high school students
SIEPR 130
1:36pm PDT
Introducing Statistics with intRo
SIEPR 130
1:54pm PDT
A first-year undergraduate data science course
SIEPR 130
Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny
SIEPR 120
Zero-overhead integration of R, JS, Ruby and C/C++
Lane & Lyons & Lodato
2:12pm PDT
RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark
Lane & Lyons & Lodato
Teaching R to 200 people in a week
SIEPR 130
2:30pm PDT
A Large Scale Regression Model Incorporating Networks using Aster and R
Sponsor Pavilion
4:45pm PDT
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
5:21pm PDT
Using Shiny modules to build more-complex and more-manageable apps
Lane & Lyons & Lodato
5:39pm PDT
R AnalyticFlow 3: Interactive Data Analysis GUI for R
Lane & Lyons & Lodato
Wednesday
, June 29
10:30am PDT
Importing modern data into R
SIEPR 130
10:48am PDT
Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R
McCaw Hall
11:00am PDT
Text Mining and Sentiment Extraction in Central Bank Documents
SIEPR 120
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
1:00pm PDT
R at Google
Lane & Lyons & Lodato
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
GNU make for reproducible data analysis using R and other statistical software
Barnes & McDowell & Cranston
Simulation and power analysis of generalized linear mixed models
Econ 140
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:30pm PDT
Multiple-Output Quantile Regression in R
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
10:48am PDT
Practical tools for exploratory web graphics
SIEPR 130
11:26am PDT
Big data algorithms for rank-based estimation
Lane & Lyons & Lodato
11:42am PDT
rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics
SIEPR 130
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
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
Timezone
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America/Los Angeles
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Jun 27
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30, 2016
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, June 27
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, June 28
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, June 29
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, June 30
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Stanford, CA, United States
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Barnes
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Econ 140
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McDowell & Cranston
SIEPR 120
SIEPR 130
Sponsor Pavilion
Wallenberg Hall 124
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Break
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Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
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
All
Part 1
Part 2
Tutorial
All
Afternoon
Morning
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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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