Join us on Slack

June 22, 2024

8:00-9:00 Registration and Breakfast

9:00-9:10 Introductions

9:10-9:40 Keynote

9:40-9:55 Break

9:55-10:55 R-evolution: Articifial intelligence & R

10:55-11:10 Break

11:10-12:10 Visual narRatives

  • David Keyes: How to Make a Thousand Plots Look Good: Data Viz Tips for Parameterized Reporting
  • Justin Sherrill: Cartographic Tricks & Techniques in R
  • Ken Vu: Drawing a Christmas card with the ggplot2 package

12:10-1:10 Lunch Break

1:10-2:10 Shine on with R Shiny

  • Erica Bishop: Don’t repeat yourself: Templatize your R Shiny Apps with Modules
  • Dror Berel: High-level, module-based R/Shiny apps with ‘Teal’ framework, with applications beyond the pharma data domain
  • Matthew Bayly: CEMPRA: Building an R package, R Shiny application, and Quarto book for Cumulative Effect Assessments in BC

2:10-2:25 Break

2:25-2:55 Lightning Talks!

  • Bryan Shalloway: Prediction Intervals in Tidymodels
  • Joe Roberts: Taking CRAN to the Next Level with Posit Public Package Manager
  • Randi Bolt: Code to Content
  • Lovekumar Patel: Empowering Decisions: Advanced Portfolio Analysis and Management through Shiny
  • Cameron Ashton: Building R Packages to Deliver Generalized Functions: An Example from Small Number Suppression for Epidemiological Dashboarding
  • Mohsen Soltanifar: GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Clinical Trial Sample Size

2:55-3:15 Break

3:15-4:15 OuR journeys in community & collaboration

  • Lydia Gibson: Learning Together at the Data Science Learning Community
  • Jacqueline Nolis: Docker for R users: run your code in the cloud
  • Russell Shean: Just double click on this to automatically to setup an R environment: How to use batch scripts to make it easier for colleagues to start using your R projects

4:15-4:20 Closing Remarks

4:20-4:30 Break

4:30-6:00 Reception