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# Linear ranking selection 3
sellrs3 = function(fitvals, ns, sels, ...){
n = length(fitvals)
if(missing(ns)) ns=n
if(missing(sels)) sels=1.5
if(sels<1 | sels>1.99) sels=1.5
fitranks = rank(fitvals, ties.method="min")
p = 1/n*(sels-2*(sels-1)*((fitranks-1)/(n-1)))
matpool = sample(1:n, size=ns, prob=p)
return(matpool)
}
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