# this is a collection of smaller helper files that are of no immediate value to
# the user
# create the tempelo object in elo.seq
make_tempelo <- function(winner, loser, pmat, allids, startvalue, Date, truedates) {
# first interaction
# first_ia <- sapply(allids, function(x) min(which(winner == x | loser == x)))
# first interaction (at which line in presence matrix!!!)
first_ia <- sapply(allids, function(x) min(which(winner == x | loser == x)))
first_ia <- Date[first_ia]
first_ia <- sapply(first_ia, function(x)which(truedates == x))
# first presence
first_pres <- apply(pmat[, allids], 2, function(x)min(which(x == 1)))
# combine
res <- rbind(startvalue, NA, first_ia, first_pres)
rownames(res) <- c("recelo", "present", "firstIA", "firstpres")
res["recelo", which(pmat[1, allids] == 0)] <- NA
# reorder
res <- res[, names(sort(res[3, ], na.last = TRUE))]
res <- res[, names(sort(res[4, ], na.last = TRUE))]
res
}
# check whether presence data has individuals that both join and leave or
# leave and join
# i.e. have more than one movement in/out the group
n_moves <- function(presence) {
presence <- presence[, -c(which(colnames(presence) %in% c("Date", "date")))]
colSums(apply(presence, 2, function(x) diff(x) != 0))
}
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