Report the individuals among turtles
that are located on the patches
at
(dx, dy)
distances of the agents
.
turtlesAt(world, turtles, agents, dx, dy, breed, torus = FALSE)
# S4 method for worldNLR,agentMatrix,matrix,numeric,numeric,missing
turtlesAt(world, turtles, agents, dx, dy, torus)
# S4 method for worldNLR,agentMatrix,matrix,numeric,numeric,character
turtlesAt(world, turtles, agents, dx, dy, breed, torus = FALSE)
WorldMatrix
or worldArray
object.
AgentMatrix
object representing the moving agents
.
Matrix (ncol
= 2) with the first column pxcor
and the second
column pycor
representing the patches
coordinates, or
Numeric. Vector of distances to the east (right) from the agents
.
If dx
is negative, the distance to the west (left) is computed.
dx
must be of length 1 or of the same length as number of patches
or turtles
in agents
.
Numeric. Vector of distances to the north (up) from the agents
.
If dy
is negative, the distance to the south is computed (down).
dy
must be of length 1 or of the same length as number of patches
or turtles
in agents
.
Characters. Vector of breed
names for the selected turtles
.
If missing, there is no distinction based upon breed
.
Logical to determine if the world
is wrapped. Default is
torus = FALSE
.
AgentMatrix
representing the individuals among turtles
of any of the given breed
, if specified,
which are located on the patches
at (dx, dy)
distances of the
agents
.
If the patch
at distance (dx, dy)
of an agent
is outside of the world
's extent and torus = FALSE
,
no turtle
is returned;
if torus = TRUE
, the turtle
located on the patch
whose coordinates
are defined from the wrapped world
is returned.
Wilensky, U. 1999. NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL.
w1 <- createWorld(minPxcor = 0, maxPxcor = 9, minPycor = 0, maxPycor = 9)
t1 <- createTurtles(
n = 10, coords = cbind(xcor = 0:9, ycor = 0:9),
breed = c(rep("sheep", 5), rep("wolf", 5))
)
t2 <- turtlesAt(
world = w1, turtles = t1, agents = turtle(t1, who = 0),
dx = 1, dy = 1
)
t3 <- turtlesAt(
world = w1, turtles = t1,
agents = patch(w1, c(3, 4, 5), c(3, 4, 5)), dx = 1, dy = 1,
breed = "sheep"
)