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Jennifer Thompson
Vanderbilt University
Nashville
Contact Me
on Twitter
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
Extracting data from the web APIs and beyond (Part 1)
Campbell Rehearsal Hall
2:30pm PDT
Extracting data from the web APIs and beyond (Part 2)
Campbell Rehearsal 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
Tuesday
, June 28
8:30am PDT
Opening Session
McCaw Hall
9:00am PDT
Forty years of S
McCaw Hall
11:06am PDT
trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R
McCaw Hall
11:24am PDT
United Nations World Population Projections with R
McCaw Hall
11:42am PDT
jailbreakr: Get out of Excel, free
McCaw Hall
1:18pm PDT
htmlwidgets: Power of JavaScript in R
Lane & Lyons & Lodato
Transforming a museum to be data-driven using R
McCaw Hall
1:54pm PDT
A first-year undergraduate data science course
SIEPR 130
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
Covr: Bringing Code Coverage to R
Econ 140
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
5:03pm PDT
New Paradigms In Shiny App Development: Designer + Data Scientist Pairing
Lane & Lyons & Lodato
5:21pm PDT
broom: Converting statistical models to tidy data frames
McCaw Hall
Data validation infrastructure: the validate package
Barnes & McDowell & Cranston
Using Shiny modules to build more-complex and more-manageable apps
Lane & Lyons & Lodato
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
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
Importing modern data into R
SIEPR 130
Notebooks with R Markdown
McCaw Hall
Predicting individual treatment effects
Lane & Lyons & Lodato
Profvis: Profiling tools for faster R code
Econ 140
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
11:06am PDT
On the emergence of R as a platform for emergency outbreak response
McCaw Hall
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
1:00pm PDT
Run-time Testing Using assertive
SIEPR 130
1:18pm PDT
How to use the archivist package to boost reproducibility of your research
Barnes & McDowell & Cranston
Tools for Robust R Packages
SIEPR 130
1:54pm PDT
Checkmate: Fast and Versatile Argument Checks
SIEPR 130
The simulator: An Engine for Streamlining Simulations
Barnes & McDowell & Cranston
2:12pm PDT
Providing Digital Provenance: from Modeling through Production
Barnes & McDowell & Cranston
Using R in a regulatory environment: FDA experiences.
McCaw Hall
2:30pm PDT
hurdlr: An R package for zero-inflated and over-dispersed count data
Sponsor Pavilion
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Jun 27
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30, 2016
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Stanford, CA, United States
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Generalized and mixed models
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Daniela Witten
Deborah Nolan
Donald Knuth
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Richard Becker
Simon Urbanek
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R Initiatives
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Max
Longyi Bi
Diane Grill
Tom Hay
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