founderLine | R Documentation |
For every individual in a pedigree, the function identifies either the one female or male ancestor that is a founder (defined here as an individual identity in the pedigree for which both dam and sire information are missing).
founderLine(pedigree, sex)
pedigree |
A pedigree where the columns are ordered ID, Dam, Sire, Sex |
sex |
Character indicating the column name in pedigree identifying either the dam (for matriline) or sire (for patriline) identities |
Missing parents (e.g., base population) should be denoted by either 'NA', '0', or '*'.
Individuals with a missing parent for the column identified by the 'sex' argument are assigned themselves as their founder line. Thus, the definition of the founder population from a given pedigree is simply all individuals with missing parents (and in this case just a single missing parent classifies an individual as a founder).
A vector of length equal to the number of rows in the pedigree
founderLine(FG90, sex = "dam") # matriline from this example pedigree
#Create random pedigree, tracking the matrilines
## Then compare with founderLine() output
K <- 8 # No. individuals per generation (KEEP and even number)
gen <- 10 # No. of generations
datArr <- array(NA, dim = c(K, 5, gen))
dimnames(datArr) <- list(NULL,
c("id", "dam", "sire", "sex", "matriline"), NULL)
# initialize the data array
datArr[, "id", ] <- seq(K*gen)
datArr[, "sex", ] <- c(1, 2)
femRow <- which(datArr[, "sex", 1] == 2) # assume this is same each generation
# (Why K should always be an even number)
datArr[femRow, "matriline", 1] <- femRow
# males have overlapping generations, BUT females DO NOT
for(g in 2:gen){
datArr[, "sire", g] <- sample(c(datArr[femRow-1, "id", 1:(g-1)]),
size = K, replace = TRUE)
gdams <- sample(femRow, size = K, replace = TRUE)
datArr[, c("dam", "matriline"), g] <- datArr[gdams, c("id", "matriline"), g-1]
}
ped <- data.frame(apply(datArr, MARGIN = 2, FUN = function(x){x}))
nrow(ped)
#Now run founderLine() and compare
ped$line <- founderLine(ped, sex = "dam")
stopifnot(identical(ped$matriline, ped$line),
sum(ped$matriline-ped$line, na.rm = TRUE) == 0,
range(ped$matriline-ped$line, na.rm = TRUE) == 0)
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