randomsequence: random dominance interaction sequence
In EloRating: Animal Dominance Hierarchies by Elo Rating

Description Usage Arguments Value Author(s) Examples

create a random dominance sequence for testing or simulations

randomsequence(
  nID = 10,
  avgIA = 20,
  startdate = as.Date("2000-01-01"),
  alphabet = TRUE,
  reversals = 0.1,
  ties = NULL,
  presence = NULL
)

`nID`	integer, number of IDs, must be less than 2601
`avgIA`	numeric, average number of interactions an individual is involved in
`startdate`	character, a start date, by default `"2000-01-01"`
`alphabet`	logical, should the individual within an interaction that comes first in alphabetical order be the winner? By default `TRUE`, which gives some orderliness in the hierarchy
`reversals`	numeric, proportion of interactions that ends in reversed outcomes, i.e. the initial winner (if `alphabet=TRUE) the first according to alphanumeric order`) is changed into the loser. By default `0.1`
`ties`	numeric, proportion of interactions that ends undecided
`presence`	numeric vector of length 2. The first value indicates what proportion of individuals are absent for some time. The second value indicates the proportion of time (days) these individuals are absent

an object of class randomsequence, which is a list with the following items:

`seqdat`	an interaction sequence
`pres`	a presence matrix, actually a `data.frame`

Christof Neumann

IA <- randomsequence()
SEQ <- elo.seq(winner = IA$seqdat$winner, loser = IA$seqdat$loser, Date = IA$seqdat$Date,
               runcheck = FALSE, progressbar = FALSE)
stab_elo(SEQ)
#
IA <- randomsequence(presence = c(0.5, 0.5))
SEQ <- elo.seq(winner = IA$seqdat$winner, loser = IA$seqdat$loser, Date = IA$seqdat$Date,
               presence = IA$pres, runcheck = FALSE, progressbar = FALSE)
stab_elo(SEQ)