Just discovered the excellent {codebookr} package by @brad_cannell. Automatically compiles an elegant data codebook from labeled data via {haven}. https://brad-cannell.github.io/codebookr h/t @cghlewis for recommendation via #rmed23
I've really enjoyed #RMedicine2023 this week (and I'm looking forward to catching up on the talks I've missed)! 🥼
The slides from my talk about using {tidymodels} are up on my website: https://nrennie.rbind.io/talks/r-medicine-2023-tidymodels/
#rmedicine2023 #rstats #rmed23
It’s a great week at R in Medicine learning about R in medicine and healthcare!
Our very own Rich Iannone shared an Introduction to {gt}, and coming up are @grrrck on “Seamless data-driven reporting with {epoxy}” on Thursday and Joe Roberts on “The Value of Internal R Packages in Healthcare” on Friday.
See the schedule and register: https://events.linuxfoundation.org/r-medicine/program/schedule/
For the first time in what feels like forever, I will live-stream @rstats Shiny app development as part of R/Medicine 2023! I'll create a brand-new #shiny app to interactively explore a licorice and gargling clinical study, powered by:
🦏 {rhino} framework @appsilon
🔍 Drill-down summary tables using {Tplyr} and {reactable}
⭐️ New dashboard capabilities from {bslib} @cpsievert @Posit
Come by and say hello!
📆 June 8th 1 PM EST / 7 PM CEST
📡 https://twitch.tv/rpodcast
And another GREAT workshop at #rmed23: @cararthompson talked about creating compelling and memorable data #rstats visualisations. See https://www.cararthompson.com/talks/rmedicine2023-workshop/
First day of #Rmed23 was a very very good time investment. I finally developed an understanding of the #rstats package #renv, and can't wait to try the #rstats package gt for making nice tables, also for pdf. See https://events.linuxfoundation.org/r-medicine/
Excited for Day 2 of R/Medicine workshops tomorrow. If you haven’t decided which one to attend @cararthompson session “Level Up Your Plots” is a must-see #RMed23
#rstats
#RMed23 R-Medicine conf:2023 is starting :allthethings:
First talk:
Isoformic: Transcript Level RNA-seq Analysis for Human Data - Izabela Mamede Conceição, Universidade Federal de Minas Gerais; Lucio Rezende Queiroz, Weil Cornell University at R/Medicine 2023 Virtual Conference https://sched.co/1MwS6
I'm really looking forward to the R / Medicine conference next week 💡 The slides for my talk are now online - there's still time to register!
Session link: https://rmed2023a.sched.com/event/1MwUo/using-tidymodels-to-detect-heart-murmurs-nicola-rennie-lancaster-university