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Break
All
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
Popular
Back to Speakers
Margot Loewenberg
University of Zurich
PostDoc and Project Manager
Zürich Area, Switzerland
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1)
Barnes
10:30am PDT
Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2)
Barnes
12:00pm PDT
Lunch
Lyons & Lodato
1:00pm PDT
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1)
Lane
Understanding and creating interactive graphics (Part 1)
McDowell & Cranston
2:15pm PDT
Coffee Break
Lane
2:30pm PDT
Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2)
Lane
Understanding and creating interactive graphics (Part 2)
McDowell & Cranston
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
edeaR: Extracting knowledge from process data
Econ 140
10:48am PDT
Implementing R in old economy companies: From proof-of-concept to production
Econ 140
11:06am PDT
R: The last line of defense against bad debt
Econ 140
11:24am PDT
Automating our work away: One consulting firm's experience with KnitR
Econ 140
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
Teaching R to 200 people in a week
SIEPR 130
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
4:45pm PDT
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
R at Microsoft
McCaw Hall
5:21pm PDT
Using Shiny modules to build more-complex and more-manageable apps
Lane & Lyons & Lodato
5:39pm PDT
Rho: High Performance R
McCaw Hall
5:57pm PDT
Colour schemes in data visualisation: Bias and Precision
McCaw Hall
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
Empowering Business Users with Shiny
SIEPR 120
10:35am PDT
Bespoke eStyle Statistical Training for Africa: challenges and opportunities of developing an online course
SIEPR 120
10:40am PDT
Tie-ins between R and Openstreetmap data
SIEPR 120
10:45am PDT
MAVIS: Meta Analysis via Shiny
SIEPR 120
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
10:50am PDT
madness: multivariate automatic differentiation in R
SIEPR 120
10:55am PDT
rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports
SIEPR 120
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
11:10am 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
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:25am PDT
FirebrowseR an 'API' Client for Broads 'Firehose' Pipeline
SIEPR 120
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
11:35am PDT
R's Role in Healthcare Data: Exploration, Visualization and Presentation
SIEPR 120
11:40am PDT
Chunked, dplyr for large text files
SIEPR 120
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
Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics
Econ 140
1:36pm PDT
Simulation and power analysis of generalized linear mixed models
Econ 140
1:54pm PDT
Approximate inference in R: A case study with GLMMs and glmmsr
Econ 140
2:30pm PDT
Coffee Break with Poster Session
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
10:45am PDT
Clustering of Hierarchically-Linked Multivariate Datasets
Econ 140
10:48am PDT
Dynamic Data in the Statistics Classroom
Barnes & McDowell & Cranston
11:06am PDT
viztrackr: Tracking and discovering plots via automatic semantic annotations
SIEPR 130
11:10am PDT
Event Detection with Social Media Data
Econ 140
11:25am PDT
Outlier Detection Methods
Econ 140
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
11:42am PDT
Using Jupyter notebooks with R in the classroom
Barnes & McDowell & Cranston
1:15pm PDT
Getting R into your bathroom
McCaw Hall
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
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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Barnes
Barnes & McDowell & Cranston
Bing Concert Hall
Campbell Rehearsal Hall
Econ 140
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Lane & Lyons & Lodato
Lyons & Lodato
McCaw Hall
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
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David Smith
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JP
John Painter
Gabriela de Queiroz
Joe Cheng
Kevin Ushey
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