Just for fun, I thought I would fork Ramnath Vaidyanathan’s concaveman in R example and extend to use with the beeswarm
package. I don’t think there is any good use case for it, but perhaps somebody might like.
concaveman <- function(d){
library(V8)
ctx <- v8()
ctx$source('https://www.mapbox.com/bites/00222/concaveman-bundle.js')
jscode <- sprintf(
"var points = %s;var polygon = concaveman(points);",
jsonlite::toJSON(d, dataframe = 'values')
)
ctx$eval(jscode)
setNames(as.data.frame(ctx$get('polygon')), names(d))
}
library(beeswarm)
library(ggplot2)
library(dplyr)
# example from beeswarm
data(breast)
# play with method - square, hex, center
bsw = beeswarm(time_survival ~ ER, data = breast, method="square")
# transfrom with dplyr
bsw_cvman <- bsw %>%
data.frame(row.names = NULL) %>%
group_by(x.orig) %>%
summarise(
cvman = list(concaveman(data.frame(x,y)))
)
Reduce(
function(left, right) {
left +
geom_path(data=right, aes(x,y))
},
bsw_cvman$cvman,
init = ggplot(bsw, aes(x = x, y = y)) +
scale_x_discrete(limits = unique(bsw$x.orig))
)