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# Funciton called within over.all.pops.r
p.values.loci.calc <- function(loci2.1locus,values2.1locus){
bootstrapped.values.loci=as.numeric(as.vector(loci2.1locus[,1]))
# The bootstrapping values (D or Gst values) that have been obtained
# for the several loci are assigned to a vector.
empirical.value.loci=as.numeric(as.vector(values2.1locus[,1]))
# The empirical D or Gst values for the several loci are assigned to a
# vector.
p.value <- p.val(empirical.value.loci,bootstrapped.values.loci)
#This function returns the p-value for the actual empirical D or Gst value
# in the object 'p.value'.
p.values.loci=round(p.value,4)
# The p-values (rounded up to 4 decimal places) can't be more exact, when the bootstrapping is based on thousand resamplings.
}
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