Nothing
Li <- function(row, data, pop1, pop2, allele.column, ref.pop=NA)
{
## Calculations are not equivalent to Spagedi, since other bias corrections are applied. For single locus estimates
# It is based on Li et al 1993 and Lynch 1988 and is denoted as LL in Coancestry
# Similarity is given by:
# 1,1 - 1,2 : 0.75
# 1,2 - 1,2 : 1
# 1,2 - 1,3 : 0.5
# 1,1 - 1,1 : 1
# Rest : 0
N <- as.numeric(names(ref.pop))
p <- .subset2(ref.pop,1)
re <- .subset2(data,1)[row]
rat <- .subset2(data,2)[row]
a <- allele.column*2+1
ai <- .subset2(pop1,a)[re]
aj <- .subset2(pop1,a+1)[re]
bi <- .subset2(pop2,a)[rat]
bj <- .subset2(pop2,a+1)[rat]
aij <- c(ai,aj)
bij <- c(bi,bj)
a2 <- (N*(sum(p^2))-1)/(N-1)
# eq. 13
a3 <- (N^2*sum(p^3)-3*(N-1)*a2-1)/((N-1)*(N-2))
u <- 2*a2-a3
# Equation (9) in Li et al 1993
return(((
sum(aij%in%bij,bij%in%aij)/4)-u)/(1-u)
)
}
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