Description Usage Arguments Value Examples
View source: R/hypervolume_overlap_statistics.R
Calculates overlap metrics for two hypervolumes
1  hypervolume_overlap_statistics(hvlist)

hvlist 
A set of hypervolumes calculated from 
A set of multiple metrics

Jaccard similarity (volume of intersection of 1 and 2 divided by volume of union of 1 and 2) 

Sorensen similarity (twice the volume of intersection of 1 and 2 divided by volume of 1 plus volume of 2) 

Unique fraction 1 (volume of unique component of 1 divided by volume of 1)) 

Unique fraction 2 (volume of unique component of 2 divided by volume of 2)) 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  ## Not run:
data(penguins,package='palmerpenguins')
penguins_no_na = as.data.frame(na.omit(penguins))
penguins_adelie = penguins_no_na[penguins_no_na$species=="Adelie",
c("bill_length_mm","bill_depth_mm","flipper_length_mm")]
penguins_chinstrap = penguins_no_na[penguins_no_na$species=="Chinstrap",
c("bill_length_mm","bill_depth_mm","flipper_length_mm")]
hv1 = hypervolume_box(penguins_adelie,name='Adelie')
hv2 = hypervolume_box(penguins_chinstrap,name='Chinstrap')
hv_set < hypervolume_set(hv1, hv2, check.memory=FALSE)
hypervolume_overlap_statistics(hv_set)
## End(Not run)

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