There's an R library for that: ggjoy for joyplots YES AND THANK-YOU!!
Pontifications
- Following up on Reverse Engineering R joyplot code part 4 - Need to figure out what “%>%” really means and what tidyverse and transmute() do, why bother reverse engineering when there’s an R library for joyplots called
ggjoy?!? - I kid, I think I will still try reverse engineering that code
- In the meantime feast on this awesomeness:
From The joy of no more violin plots:
library(ggjoy)
dat %>% mutate(group = reorder(group, value, median)) %>%
ggplot(aes(x=value, y=group, height=..density..)) +
geom_joy(scale=0.85)