NYC R Conference 2019 Highlights


Ludmila Janda - Teaching Data Cleaning and Visualization with R-inspired Custom Scratch Blocks


Mike Band - The Football Analytics Tipping Point: How Player Tracking Technology is Changing the NFL


Emily Dodwell - From Tangled Lassos to Boosted Trees: Iterative Research in Practice


Emily Robinson - Everything You Wanted to Know About Making R Packages but Were Afraid to Ask


Jared P. Lander - R: Then and Now


Dan Chen - Building Reproducible and Replicable Projects


Krista Watts - Using Statistical Methods to Estimate Coefficients in Allometric Models


Andrew Gelman - Solve All Your Statistics Problems Using P-Values


Wes McKinney - Apache Arrow: Leveling Up the Data Science Stack


Michelle Gill - Artificial Intelligence Driven Drug Discovery


David Madigan - Towards systematic evidence generation from real-world healthcare data


Adam Chekroud - Personalizing mental healthcare at scale


Jacqueline Nolis - Deep learning isn’t Hard, I Promise


Gabriela Hempfling - I’ll Have What She’s Having (and Other Models of Consumer Behavior)


Heather Nolis - Rn’t u glad u put R in prod


Namita Nandakumar - Hockey Analysis in R: Public and Private Perspectives


Elizabeth Sweeney - Neuroimaging Analysis in R


Jim Savage - #ABYLFOYPE - Always Be Integrating Your Loss Function Over Your Posterior Estimate


Noam Ross - Reproducibility in an Office World: Tools for Crossing the Abyss


Soumya Kalra - Becoming a better finance practitioner


Max Kuhn - parsnip: a tidy interface for models


Brooke Watson - Using R to defend immigrant's rights at the ACLU


Amanda Dobbyn - This Talk is on Fire: Using Twitter and Google to Track Fires in NYC


Letisha Smith - Cooking Up Statistics: The Science & The Art