Description Usage Arguments Value See Also Examples
View source: R/axial_helper_functions.R
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)
1 | axials_subtract(abig, asmall)
|
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). |
numeric
Returns an estimate of the axial dispersal distance of those dispersal elements that are unique to the larger dispersal distribution (e.g. PO).
Other axial_helpers:
axials_add()
,
axials_decompose()
,
axials()
,
axpermute_subtract()
,
axpermute()
1 | axials_subtract(100, 70)
|
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