if (FALSE) {
data(penguins,package='palmerpenguins')
penguins_no_na = as.data.frame(na.omit(penguins))
# split the dataset on species and sex
penguins_no_na_split = split(penguins_no_na,
paste(penguins_no_na$species, penguins_no_na$sex, sep = "_"))
# calculate the hypervolume for each element of the splitted dataset
hv_list = mapply(function(x, y)
hypervolume_gaussian(x[, c("bill_length_mm", "flipper_length_mm")],
samples.per.point=100, name = y),
x = penguins_no_na_split,
y = names(penguins_no_na_split))
hv_list <- hypervolume_join(hv_list)
# get the data.frame
hypervolume_to_data_frame(hv_list)
}
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