After years of wishing something like this existed, I decided to finally buckle down and make it myself. Behold, an animated explanation of what group_by() |> summarize() does in {dplyr} in #rstats!
More coming later with group_by(cat2), plus group_by(cat1, cat2) and ungroup()!
@Drmowinckels Wow! Sounds like there were many interesting decisions (some challenging) that went into the project, including slicing considerations! 😃 Sorry to hear about problem that the depreciation presents. 😕
@Drmowinckels is 'aseg' atlas pretty canonical and recognized? I want to work w/ one of the atlases that you have in ggseg or ggsegExtra with this sf2stat framework (the example is North Carolina). But I don't really know my atlases, so ... https://github.com/EvaMaeRey/sf2stat
@MattCrumpLab Sounds cool! Reminds me (a tiny bit) of Jim Hester's note package which he builds in his talk about building a package in 20 minutes. I'm not sure of all of what's going on in the R music space - liking what your are doing!
I minimally extended the note package: https://github.com/musician-tools/note so you can input a dataframe of the note characteristics (note name, length, octave). Fun to do
... and probably a lot of room for improvement. 🙂
@MattCrumpLab ... here's one group I ran across. 'r-music'. https://github.com/r-music I might try to keep better track - you definitely seem to be contributing a lot to the space!
I'm gonna follow in the 'one geo-viz in 31 days for the "Geocomputation with R" book cover' competition, with a personal goal, 366-day mapping package challenge for {ggnorthcarolina} & {ggnc} Goal is to make a stable template & helper package for ggplot2 sf extension. Would welcome for feedback from the Geocomputation with R community! @robinlovelace@nowosadhttps://github.com/EvaMaeRey/ggnorthcarolina Hope you've gotten outstanding submissions for book cover initiative & congrats on the book!
@robinlovelace@nowosad@defuneste 2024, day 109 update. 'ggsomewhere' is a template repo showing how to build ggplace using new helper package sf2stat. sf2stat helps you prepare a reference dataset for use in creating a Stat proto to be used in geom layer:
It's a mouthful of code, but sometimes it's worth it to add second axes in standard deviations. Do-able with sec.axis arguments in #ggplot2 in #rstats!