(Taken from tourr git repo) Computes the distance correlation based index on 2D projections of the data.
sc_dcor(x, y)
x | numeric vector |
---|---|
y | numeric vector |
require(ggplot2)
require(tidyr)
require(dplyr)
data(anscombe)
anscombe_tidy <- anscombe %>%
pivot_longer(cols = everything(),
names_to = c(".value", "set"),
names_pattern = "(.)(.)")
ggplot(anscombe_tidy, aes(x=x, y=y)) +
geom_point() +
facet_wrap(~set, ncol=2, scales = "free")
sc_dcor(anscombe$x1, anscombe$y1)
#> [1] 0.8239139
sc_dcor(anscombe$x2, anscombe$y2)
#> [1] 0.8688329
sc_dcor(anscombe$x3, anscombe$y3)
#> [1] 0.9064762
sc_dcor(anscombe$x4, anscombe$y4)
#> [1] 0.8067981