View source: R/hypervolume_overlap_statistics.R
hypervolume_overlap_statistics  R Documentation 
Calculates overlap metrics for two hypervolumes
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)) 
## 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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