hypervolume_overlap_statistics: Overlap statistics for set operations (Sorensen, Jaccard,...

In hypervolume: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls

Overlap statistics for set operations (Sorensen, Jaccard, etc.)

Description

Calculates overlap metrics for two hypervolumes

Usage

hypervolume_overlap_statistics(hvlist)

Arguments

hvlist

A set of hypervolumes calculated from hypervolume_set

Value

A set of multiple metrics

jaccard	Jaccard similarity (volume of intersection of 1 and 2 divided by volume of union of 1 and 2)
sorensen	Sorensen similarity (twice the volume of intersection of 1 and 2 divided by volume of 1 plus volume of 2)
frac_unique_1	Unique fraction 1 (volume of unique component of 1 divided by volume of 1))
frac_unique_2	Unique fraction 2 (volume of unique component of 2 divided by volume of 2))

Examples

## 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)

hypervolume documentation built on Sept. 14, 2023, 5:08 p.m.