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CR

Colin Rundel

Dept of Statistical Science, Duke University
Assistant Professor of the Practice
Durham, NC

github.com/rundel/

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

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

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

What can R learn from Julia Lane & Lyons & Lodato

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

4:45pm PDT

Covr: Bringing Code Coverage to R Econ 140

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

Rho: High Performance R McCaw Hall RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

10:30am PDT

Importing modern data into R SIEPR 130 Notebooks with R Markdown McCaw Hall Profvis: Profiling tools for faster R code Econ 140

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall

1:18pm PDT

SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

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

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130 How to do one's taxes with R McCaw Hall Spatial data in R: simple features and future perspectives SIEPR 120