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Patrick Bachmann

University of Zurich
PHD Candidate
Zürich Area, Switzerland

8:00am PDT

Registration check-in McCaw Hall

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

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:18pm PDT

Integrated R labs for high school students 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

High-performance R with FastR Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:39pm PDT

A Future for R Econ 140

5:57pm PDT

Rethinking R Documentation: an extension of the lint package Econ 140

6:30pm PDT

Welcome Reception Bing Concert Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall Empowering Business Users with Shiny SIEPR 120

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall R at Google Lane & Lyons & Lodato

11:40am PDT

rfmt - A new formatter for R source code Econ 140