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# Sigma scaling
selsscale = function(fitvals, ns, selc, ...){
n = length(fitvals)
if(missing(ns)) ns=n
if(missing(selc)) selc=2
favg = mean(fitvals)
fsd = sd(fitvals)
fstar = rep(NA, n)
for(i in 1:n)
fstar[i] = ifelse(fsd!=0, 1+(fitvals[i]-favg)/selc*fsd, 1.0)
fstar[fstar<0]=0
p = fstar/sum(fstar)
matpool = sample(1:n, size=ns, prob=p, replace=TRUE)
return(matpool)
}
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