Mastodawn

tladeras Sep 28, 2023

I'm a little verklempt at seeing how Jess Minnier has continued the #rstats Programming Class we developed together.

Especially seeing the course reviews and seeing something I helped start continue on and be helpful to the students:

Original Course I taught: https://sph-r-programming.netlify.app/reviews/

2022: https://sph-r-programming-2022.netlify.app/reviews/

2023: https://sph-r-programming-2023.netlify.app/reviews/

Course Reviews | R Programming

Below are some selected reviews and comments from students in the course. I have left them anonymous. Ted was so clear, patient and approachable and really did a wonderful job making sure we understood every line of code we were writing. I’m no pro at R now but I definitely have an excellent foundation upon which to build and I feel like I enjoy it so much more.

R Programming

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tladeras Sep 28, 2023

One tip: the JS console is your friend - it will help you debug your apps when they're not working.

tladeras Sep 28, 2023

Wow. Shinylive for #rstats is so cool. Amazing this runs in the browser with ggplot2 plotting.

https://laderast.github.io/shinylive_quarto_test/

shinylive_quarto_test

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tladeras Sep 28, 2023

Github link here: https://github.com/laderast/surrogateShiny

GitHub - laderast/surrogateShiny: Surrogate Mutation Explorer Code

Surrogate Mutation Explorer Code. Contribute to laderast/surrogateShiny development by creating an account on GitHub.

GitHub

tladeras Sep 28, 2023

Oldie but goodie: the first #Shiny #Rstats App I ever built: https://tladeras.shinyapps.io/surrogateShiny/

It helps biologists explore network based clusters of genomic alterations (mutations/copy number).

It uses some outdated packages such as {ggvis} for tooltips, but still runs on shinyapps.io.

Just don't ask me to redploy it.

Surrogate Oncogene Explorer for Breast Cancer Cell Lines

tladeras Sep 28, 2023

Show thread

Jon Harmon Sep 28, 2023

@maelle I know you linked to them, but the whole `usethis::pr_*()` family is 🥇
pr_init() (cleanly start)
pr_pause() (work on something else in this repo)
pr_resume() (after pr_pausing)
pr_push() (push your work/create the actual remote PR)
pr_finish() (clean up when you're done)
pr_forget() (clean up something you won't finish)
pr_fetch() (get someone else's work for editing or review)
pr_merge_main() (merge main into what you're working on)

tladeras Sep 28, 2023

Tanya Shapiro Sep 28, 2023

Very excited to be a part of this Observable panel with @allison_horst & @deepsha !

Honestly, this is mostly an excuse for me to spend more time geeking out about data viz with two of my favorite people. Humbled to share the same space with these talented women.

Look forward to chatting, hope to see you there 🙂

Registration details: https://lu.ma/zyvijww3

Observable Plot Panel: Start building data visualization in JavaScript · Luma

What you'll learn! Developers and data practitioners are increasingly realizing the value of, and need for, JavaScript to build web-ready, interactive data visualizations. Observable...

tladeras Sep 28, 2023

Openscapes Sep 28, 2023

Learn how NASA @nasaearthdata works with @thecarpentries and @openscapes to support coding and teaching skills for building a stronger #OpenScience community.

The workshop takes place on October 5 from 11 AM-12 PM, EDT (UTC-4). Learn how to participate: https://go.nasa.gov/3EVGhLW

A Carpentries Community Session with NASA and Openscapes

Exploring collaborations: Opportunities for data sharing and data skills training across organisations advocating for open science

tladeras Sep 27, 2023

Openscapes Sep 27, 2023

new post: Documenting things & #PositConf2023 Debrief, by @juliesquid

Heaps of highlights, shoutouts & smiling selfies, plus TL;DR of Julie's talk "Documenting things: openly for future us"

https://openscapes.org/blog/2023-09-27-documenting-things-posit-conf/
#rstats #OpenScience #KinderScience

Documenting things & Posit Conference Debrief

tladeras Sep 27, 2023

Julia Silge Sep 27, 2023

In this #TidyTuesday screencast, learn how to find bootstrap confidence intervals with Poisson regression for how many times Roy Kent says "F*CK" per episode of Ted Lasso! 🤬

I learned how to bleep myself for this screencast!!!

https://youtu.be/xofeRPYjGkQ?si=2JliWXcI2HuyEH1u

Bootstrap confidence intervals for how often Roy Kent says “F*CK”

YouTube

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Github	https://github.com/laderast