Just gave an #rstats brain dump talk of pkgs/functions I've ♥️ over the last couple months. Aimed for the less obvious choices and called them "secret tRacks" after the cassette tape surprises (yes, I'm old) 🧵 `pak` rocks my world as package manger of choice over install.packages/devtools/remotes pak.r-lib.org

After 6 years, I have left the tenure track. I’m beyond excited to begin a new #postac role (Director of Health Informatics) next week.

I do have some parting thoughts about the unique situation data scientists face in academia currently. 1/ There is increasing recognition that everyone *needs* a data scientist, and this is often distinct from a statistician (which everyone also needs!!). Data are messy, projects need reports/dashboards, figures should be elegant, reproducible pipelines/data sharing should happen.

I took notes in tired/wired format from the *incredible* #rstudioconf workshop "What they forgot to teach you about R" by @JennyBryan and @jimhester_. Here are some highlights, in case useful for others. Tired: Use absolute paths or 💀 setwd() 💀
Wired: Use here::here()