create_families <- function(pop,S,id,chr_length,is_clone)
{
if(missing(is_clone) || is.na(is_clone))
{
is_clone = FALSE
}else
{
is_clone = is_clone
}
C0 = pop[[1]]
C1 = C0[C0$gen == C0[nrow(C0),2],]
A = matrix(nrow=S*nrow(C1),ncol=7)
count_x = 1
gen = as.numeric(as.character(C0[nrow(C0),2])) + 1
for (i in 1:nrow(C1))
{
for (i2 in 1:S)
{
A[count_x,1] = gsub(" ", "",paste0(id,"_",count_x,"_",as.character(C1[i,5]),"_",as.character(C1[i,7]),"_",i2))
A[count_x,2] = gen
A[count_x,3:6] = c(as.character(C1[i,1]),as.character(C1[i,1]),C1[i,5],C1[i,7])
A[count_x,7] = i2
count_x = count_x+1
}
}
colnames(A) = colnames(C0)
A = as.data.frame(A)
B = list()
if(is_clone == FALSE)
{
haplotype = create_haplotypes_from_scheme(A,chr_length,pop)
return(list(scheme=A,haplotype=haplotype))
}else
{
for (i in 1:nrow(A))
{
haplo = select_haplotype(pop,as.character(A[i,3]))
haplo[[1]] = A[i,]
names(haplo[[2]])[1] = as.character(A$id[i])
if(i == 1)
{
B = haplo
}else
{
B = combine_populations(c(B,haplo))
}
}
return(B)
}
}
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