1 | MatePopulations.par(popList, nChildren = 100, cpc = 2, lambda = 2, mc.cores = 1)
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popList |
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nChildren |
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cpc |
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lambda |
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mc.cores |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (popList, nChildren = 100, cpc = 2, lambda = 2, mc.cores = 1)
{
individuals = sapply(popList, function(x) x@members)
individuals = unlist(individuals)
alleles = sapply(popList, function(x) x@alleles)
alleles = unlist(alleles)
alleles = unique(alleles)
nCouples = round(nChildren/cpc)
childrenPerCouple = rpois(nCouples, cpc)
childrenPerCouple = childrenPerCouple[childrenPerCouple !=
0]
generateChildren = function(i) {
parents = sample(individuals, 2)
children = sapply(1:i, function(x) MateIndividuals(parent1 = parents[[1]],
parent2 = parents[[2]], lambda = lambda))
return(children)
}
childrenList = mclapply(childrenPerCouple, generateChildren,
mc.cores = mc.cores)
output = Population(members = unlist(childrenList), alleles = alleles)
return(SelectIndividuals(output))
}
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