Report one patch
or one turtle
among agents
which has its variable equals
to the minimum value.
minOneOf(agents, world, var)
# S4 method for matrix,worldMatrix,missing
minOneOf(agents, world)
# S4 method for matrix,worldArray,character
minOneOf(agents, world, var)
# S4 method for agentMatrix,missing,character
minOneOf(agents, var)
Matrix (ncol
= 2) with the first column pxcor
and the second
column pycor
representing the patches
coordinates, or
`AgentMatrix` object representing the moving `agents`.
WorldMatrix
or worldArray
object.
Character. The name of the selected agents
variable.
If agents
are patches
and the world
is a
worldMatrix
object, var
must not be provided. If
agents
are patches
and the world
is a worldArray
object, var
is the name of the layer to use to define the patches
values. If agents
are turtles
, var
is one of
the turtles
' variable and can be equal to xcor
,
ycor
, any of the variables created when turtles
were created,
as well as any variable created using turtlesOwn()
.
Matrix (ncol
= 2, nrow
= 1) with the first column pxcor
and
the second column pycor
representing the coordinates of the patch
(or of one of the patches
) among the agents
which has its variable
equals to the minimum value
among the agents
, or
`AgentMatrix` of length 1 representing the `turtle` (or one of
`turtles`) among the `agents` which has its variable `var`
the
equals to the minimum value`agents`. among the
world
must not be provided if agents
are turtles.
`patches` or `turtles` among `agents` with their
If there are several
variable equal to the minimum`patches` or `turtles` among
value, one is chosen randomly. To access to all `agents` which have their variable equal
`withMin()`. to the minimum value, use
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,
data = sample(1:5, size = 25, replace = TRUE))
plot(w1)
p1 <- minOneOf(agents = patches(w1), world = w1)
# Turtles
t1 <- createTurtles(n = 10, coords = randomXYcor(w1, n = 10),
heading = sample(1:3, size = 10, replace= TRUE))
t2 <- minOneOf(agents = t1, var = "heading")