This helped us think of an alternate way (compared to the linked article) to assess approximate pivotality that is a little easier to interpret!
onlinelibrary.wiley.com/doi/pdf/10.1...

👋Happy to do it for free if I can make it double as a lab/project for our students! Last semester we scraped recipes from the web to automate my grocery lists and make recipe cards. It'd be nice to have a more meaningful example. Email the details! 8]

Why not just add HTML output? You can create the HTML as a character object and output it that way. shiny.posit.co/r/reference/...

Some of this was already recommended, but atchwork, rayshader (@tylermorganwall.bsky.social), and gganimate would be good! Also, it could be interesting to do some mapping using tidycensus (‪@kylewalker.bsky.social)!

Thanks!!

Do you have a source for the data? This would make a cool example plot for our ggplot shiny app that supports bubble plot!
shiny.colgate.edu/apps/Collabo...

This is cool! We're working on a suite of shiny tools for standard statistical approaches. We'd love to hear what you think!
shiny.colgate.edu/resources.html

We find that using our data summary app can help create a really good starting ggplot that can be polished further (using the underlying R code which is available in the app). This is especially true for things like doughnut or mosaic plots. shiny.colgate.edu/resources.html

We provide an easy-to-use shiny app that helps users create such plots without the steep learning curve of a new programming language! See that and our other resources here: shiny.colgate.edu/resources.html

Maybe I'm grumpy because I use rcpp often and switching back and forth in the same code is not fun!

You can use mathjax to present LaTeX and that should work. If you have a service you use (like digital ocean), it's not too hard to build out your own shiny server to do whatever you want using tutorials like this: www.digitalocean.com/community/tu...

How has no one said that it starts indexing at 1 instead of 0?

Are the data publicly available? I didn't see a file in the preview at the journal article. We're always looking for good examples!

Are you comparing patients and clinicians or just one altogether? Our summarizing data app can do either. Try out a bar plot, mosaic plot, or doughnut plot!

We love Rayshader! What a great package!

While y'all are at it, check out Adam Cunningham's probability playground (www.acsu.buffalo.edu/~adamcunn/pr...).

Self-plug: We have two workable apps for probability: one for doing probability computations and one for resampling/sampling distributions (shiny.colgate.edu/resources.html).