dyadic_reversals: changes in dyadic relationships
In EloRating: Animal Dominance Hierarchies by Elo Rating

Description Usage Arguments Value Examples

compare dyadic relationships before and after a certain date

1	dyadic_reversals(eloobject, cutpoint = NULL, daterange = NULL)

`eloobject`	result from `elo.seq`
`cutpoint`	character or Date, the date at which to split into pre and post (default is `NULL`, where the data is split in halves). The actual date here will be included in the 'pre' period.
`daterange`	character or Date of length 2, the date range to be considered (default is `NULL` where the entire date range in the data is used)

a data.frame with one line per dyad:

id1,id2: the dyad
pre_n,post_n: the number of interactions for that dyad pre and post cutpoint date
pre,post: which of the two was dominant (1 = id1, 2 = id2, 0 = tied relationship, NA = unknown relationship, i.e. 0 interactions)

data(adv)
eloobject <- elo.seq(winner = adv$winner, loser = adv$loser, Date = adv$Date)
# split at halfway point ("2010-01-17")
# one reversal: a-f
dyadic_reversals(eloobject)
# shift split date so that both interactions for a/f occur in the post period,
# which makes it a tie in post and unknown in pre
dyadic_reversals(eloobject, cutpoint = "2010-01-10")