# center each group separately
iris |>
split(~ Species) |>
lapply(subset, select = -c(Species)) |>
lapply(scale, center = TRUE, scale = FALSE) |>
lapply(as.data.frame) |>
unsplit(iris$Species) |>
transform(Species = iris$Species) ->
iris_ctr
ggplot(iris_ctr, aes(Petal.Width, Petal.Length)) +
coord_equal() +
facet_wrap(vars(Species)) +
geom_unit_circle() +
geom_point()
# scale group mean differences uniformly
iris_ctr |>
subset(select = -c(Species)) |>
scale(center = FALSE, scale = TRUE) |>
transform(Species = iris$Species) |>
ggplot(aes(Petal.Width, Petal.Length)) +
coord_equal() +
facet_wrap(vars(Species)) +
geom_unit_circle() +
geom_point()
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