‘How to extend ggplot2 while drowning.’ This was the the alternative title of my talk at the ASA-COWY talk last Friday. 😅

It is always a great pleasure to attend the ASA CO-WY chapter meeting. Last week’s spring meeting was no exception!

I had the privilege of presenting in the mix of a diverse and engaging set of talks .

My presentation is in an area that has been called ‘still somewhat niche’ - ggplot2 extension!

I talked about the great promise of extension 📊, but also the associated costs.😭 Even those that are well versed in extension have noted: ‘ggplot2 extension is not for the faint-hearted’.

My talk focused on an experimental ‘express’ methodology for extension - a technique that would allow practitioners to sketch out layers (geom_s and stat_s) using much less scaffolding code that is otherwise required.

I look forward to keeping up with this group!

10:00 – 10:50 Invited Speaker: Ryan Elmore “From the taproom to the classroom: Recent topics in Sports Statistics”

10:50 – 11:10 Jason Bernstein, Kevin Quinlan, Andrew Gillette, Emily Bogle “Shared Education in Artificial Intelligence and Machine Learning at Lawrence Livermore National Laboratory”

11:10 – 11:30 Gina Reynolds “Everyday ggplot2 extension: New approaches to light-weight geom extension”

11:30 – 11:50 Sean Hardison, Erin Fedewa, Leah Zacher, James Thorson, Mike Litzow, Franz Mueter “Projecting seasonal Bristol Bay red king crab distributions by combining predictions from movement and species distribution models”

11:50 – 13:00 Lunch – sandwiches and drinks provided

13:00 – 13:20 Chapter Business / Elections / David Young Awards / Maurice Davies Awards

13:20 – 13:40 Sarah Bird, Ryan Peterson, Michael Kosnett, Ashley Brooks-Russell, Julia Wrobel “Making highways and workplaces safer: an interpretable machine learning approach to predicting recent cannabis use and impairment”

13:40 – 14:00 Erin Hodgess “Spatio-Temporal Kriging on the Raspberry Pi with an External GPU”

14:00 – 14:20 Jinal Shah, Nichole Carlson, Debashis Ghosh, Ryan Peterson “A Practical Guide to Inference After Model Selection in Linear Regression Using R”

14:20 – 14:40 Yao Zheng, Kayleigh Keller “Measurement Error Correction in Spatial Bayesian Models with Application to Environmental Health”

14:40 – 15:00 Break

15:00 – 15:20 Jennifer Chani “Analyzing Complaints to Improve Next Generation Medical Devices”

15:20 – 15:40 Ksenia Polson “Using Student - Generated Case Studies to Learn Ethics in Data Science”

15:40 – 16:00 Matthew Simpson, Christopher Wikle, Scott Holan “Bayesian Dasymetric Modeling”

16:00 – 16:20 Mark Otto “Parallel Universes: Decision Analysis and Data Science”

16:20 – 16:30 Wrapping up

16:45 Drinks/networking at a nearby restaurant/bar (TBD) For those interested in staying, a group will meet for networking/drinks