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8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130 Genome-wide association analysis and post-analytic interrogation with R (Part 1) Wallenberg Hall 124 Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 1) McDowell & Cranston Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140 Small Area Estimation with R (Part 1) Lane Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1) Barnes Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:15am PDT

Coffee Break McDowell & Cranston Coffee Break Lane Coffee Break Barnes Coffee Break SIEPR 130 Coffee Break Wallenberg Hall 124 Coffee Break Econ 140 Coffee Break SIEPR 120 Coffee Break Campbell Rehearsal Hall Coffee Break Lyons & Lodato

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130 Genome-wide association analysis and post-analytic interrogation with R (Part 2) Wallenberg Hall 124 Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 2) McDowell & Cranston Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140 Small Area Estimation with R (Part 2) Lane Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2) Barnes Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

12:00pm PDT

Lunch Lyons & Lodato Lunch Econ 140 Lunch Barnes Lunch SIEPR 130 Lunch Wallenberg Hall 124 Lunch Lane Lunch McDowell & Cranston Lunch Campbell Rehearsal Hall Lunch SIEPR 120

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Effective Shiny Programming (Part 1) McCaw Hall Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall Introduction to SparkR (Part 1) Econ 140 Missing Value Imputation with R (Part 1) Barnes Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Understanding and creating interactive graphics (Part 1) McDowell & Cranston Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

2:15pm PDT

Coffee Break Lane Coffee Break McCaw Hall Coffee Break Barnes Coffee Break SIEPR 120 Coffee Break McDowell & Cranston Coffee Break Lyons & Lodato Coffee Break Econ 140 Coffee Break Campbell Rehearsal Hall Coffee Break SIEPR 130

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Effective Shiny Programming (Part 2) McCaw Hall Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall Introduction to SparkR (Part 2) Econ 140 Missing Value Imputation with R (Part 2) Barnes Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston Using R with Jupyter notebooks for reproducible research (Part 2) SIEPR 120

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