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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
Popular
Back to Speakers
Stephen R Piccolo
Brigham Young University
Assistant Professor
Provo, UT
https://piccolo.byu.edu
Bioinformatics, machine learning, genomics, human health
Tuesday
, June 28
10:30am PDT
R in machine learning competitions
McCaw Hall
10:48am PDT
Connecting R to the OpenML project for Open Machine Learning
McCaw Hall
11:06am PDT
R/qtl: Just Barely Sustainable
Lane & Lyons & Lodato
11:24am PDT
Fry: A Fast Interactive Biological Pathway Miner
Lane & Lyons & Lodato
11:42am PDT
Analysis of big biological sequence datasets using the DECIPHER package
Lane & Lyons & Lodato
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
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
Imputing Gene Expression to Maximise Platform Compatibility
Sponsor Pavilion
shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions
SIEPR 130
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
5:21pm PDT
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
SIEPR 130
The challenge of combining 176 x #otherpeoplesdata to create the Biomass And Allometry Database (BAAD)
Econ 140
5:39pm PDT
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
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
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
1:00pm PDT
Run-time Testing Using assertive
SIEPR 130
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:36pm PDT
Extending CRAN packages with binaries: x13binary
SIEPR 130
1:54pm PDT
Checkmate: Fast and Versatile Argument Checks
SIEPR 130
2:30pm PDT
The Use of Ensemble Learning Methods in Open Source Data Challenges
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
swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl
Barnes & McDowell & Cranston
10:48am PDT
Dynamic Data in the Statistics Classroom
Barnes & McDowell & Cranston
11:06am PDT
Using Shiny for Formative Assessments
Barnes & McDowell & Cranston
11:24am PDT
Revolutionize how you teach and blog: add interactivity
Barnes & McDowell & Cranston
11:25am PDT
Outlier Detection Methods
Econ 140
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
11:40am PDT
rfmt - A new formatter for R source code
Econ 140
11:42am PDT
Using Jupyter notebooks with R in the classroom
Barnes & McDowell & Cranston
1:00pm PDT
Hash Tables in R are Slow
SIEPR 130
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
1:35pm PDT
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
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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SIEPR 120
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Wallenberg Hall 124
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Break
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Break
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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
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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
Sponsor Session
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Part 1
Part 2
Tutorial
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KG
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JP
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