axials_subtract: Subtract axial distributions

Description Usage Arguments Value See Also Examples

View source: R/axial_helper_functions.R

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

1
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

1
axials_subtract(100, 70)

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