Description Usage Arguments Details Value Copyright Author(s)
Documentation for SLiM function drawByStrength
, which is a method of the
SLiM class InteractionType
.
Note that the R function is a stub, it does not do anything in R (except bring
up this documentation). It will only do
anything useful when used inside a slim_block
function further
nested in a slim_script
function call, where it will be translated into valid SLiM code as part of a
full SLiM script.
1 | drawByStrength(individual, count)
|
individual |
An object of type Individual object. Must be of length 1 (a singleton). See details for description. |
count |
An object of type integer. Must be of length 1 (a singleton). The
default value is |
Returns up to count individuals drawn from the subpopulation of individual. The probability of drawing particular individuals is proportional to the strength of interaction they exert upon individual. This method may be used with either spatial or non-spatial interactions, but will be more efficient with spatial interactions that set a short maximum interaction distance. Draws are done with replacement, so the same individual may be drawn more than once; sometimes using unique() on the result of this call is therefore desirable. If more than one draw will be needed, it is much more efficient to use a single call to drawByStrength(), rather than drawing individuals one at a time. Note that if no individuals exert a non-zero interaction upon individual, the vector returned will be zero-length; it is important to consider this possibility. If the needed interaction strengths have already been calculated, those cached values are simply used. Otherwise, calling this method triggers evaluation of the needed interactions, including calls to any applicable interaction() callbacks.
An object of type Individual object.
This is documentation for a function in the SLiM software, and has been reproduced from the official manual, which can be found here: http://benhaller.com/slim/SLiM_Manual.pdf. This documentation is Copyright © 2016–2020 Philipp Messer. All rights reserved. More information about SLiM can be found on the official website: https://messerlab.org/slim/
Benjamin C Haller (bhaller@benhaller.com) and Philipp W Messer (messer@cornell.edu)
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