axials_subtract: Subtract axial distributions

In kindisperse: Simulate and Estimate Close-Kin Dispersal Kernels

Description

Subtract axial distributions, finding the difference (under an additive variance framework). This is most useful when one distribution subsumes another and includes a unique dispersal event that needs to be extracted. For example, the FS category is subsumed by the 1C category, which can be written 'FS + PO'. In this circumstance, subtracting FS from 1C will yield an estimate of the PO kernel (the basic intergenerational dispersal kernel)

Usage

axials_subtract(abig, asmall)

Arguments

abig	numeric. The axial dispersal distance of the larger (subsuming) distribution (e.g. 1C).
asmall	numeric. The axial dispersal distance of the smaller (subsumed) distribution (e.g. FS).

Value

numeric Returns an estimate of the axial dispersal distance of those dispersal elements that are unique to the larger dispersal distribution (e.g. PO).

See Also

Other axial_helpers: axials_add(), axials_decompose(), axials(), axpermute_subtract(), axpermute()

Examples

axials_subtract(100, 70)

kindisperse documentation built on July 28, 2021, 5:09 p.m.