Report n patches or turtles randomly selected among agents.
nOf(agents, n)
# S4 method for matrix,numeric
nOf(agents, n)Matrix (ncol = 2) with the first column pxcor and the second
column pycor representing the patches coordinates, or
Matrix (`ncol` = 3) with the first column "`pxcor` and the second
column `pycor` representing the `patches` coordinates and the
third column `id`, or
`AgentMatrix` object representing the moving `agents`, or
Matrix (`ncol` = 2) with the first column `whoTurtles` and the
second column `id`.Integer. Number of patches or turtles to select from agents.
Matrix (ncol = 2, nrow = n) with the first column pxcor
and the second column pycor representing the coordinates of the
selected patches from agents, or
Matrix (`ncol` = 2) with the first column `pxcor`
and the second column `pycor` representing the coordinates of the
selected `patches` from `agents`, `n` per individual "id", or
`AgentMatrix` (`nrow` = `n`) representing the `turtles`
selected from `agents`,
Integer. Vector of `who` numbers for the selected `turtles` from
`agents`, `n` per individual "id".n must be less or equal the number of patches
or turtles in agents.
If `agents` is a matrix with `ncol` = 3, the selection of `n`
random `patches` is done per individual "id". The order of the `patches`
coordinates returned follow the order of "id".
If `agents` is a matrix (`ncol` = 2) with columns `whoTurtles` and
`id`, the selection of `n` random `turtles` (defined by their `whoTurtles`)
is done per individual "id". The order of the `who` numbers returned
follow the order of "id".Wilensky, U. 1999. NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL.
# Patches
w1 <- createWorld(minPxcor = 0, maxPxcor = 4, minPycor = 0, maxPycor = 4)
pSelect <- nOf(agents = patches(w1), n = 5)
# Turtles
t1 <- createTurtles(n = 10, coords = randomXYcor(w1, n = 10))
tSelect <- nOf(agents = t1, n = 2)