NetLogoR (version 1.0.5)

NLwith: Agents with

Description

Report the patches or the turtles among agents which have their variable equals to specific values.

Usage

NLwith(agents, world, var, val)
# S4 method for matrix,worldMatrix,missing
NLwith(agents, world, val)
# S4 method for matrix,worldArray,character
NLwith(agents, world, var, val)
# S4 method for agentMatrix,missing,character
NLwith(agents, var, val)

Value

Matrix (ncol = 2) with the first column pxcor and the second column pycor representing the coordinates of the patches among the agents

which have their variable equals to any val, or

    `AgentMatrix` representing the `turtles` among the `agents`
    which have their variable
    `var` equals to any `val`.

Arguments

agents

Matrix (ncol = 2) with the first column pxcor and the second column pycor representing the patches coordinates, or

          `AgentMatrix` object representing the moving `agents`.

world

WorldMatrix or worldArray object.

var

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().

val

Numeric or character. Vector of any length.

Author

Sarah Bauduin

Details

world must not be provided if agents are turtles.

     This is equivalent in R to subsetting.
     `val` can include `NA`.

References

Wilensky, U. 1999. NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL.

See Also

https://ccl.northwestern.edu/netlogo/docs/dictionary.html#with

Examples

# Patches
w1 <- createWorld(
  minPxcor = 0, maxPxcor = 4, minPycor = 0, maxPycor = 4,
  data = sample(1:5, size = 25, replace = TRUE)
)
plot(w1)
p2 <- NLwith(agents = patches(w1), world = w1, val = 2)

# Turtles
t1 <- createTurtles(
  n = 5, coords = randomXYcor(w1, n = 5),
  breed = c("sheep", "sheep", "wolf", "sheep", "sheperd")
)
t2 <- NLwith(agents = t1, var = "breed", val = "sheep")
t3 <- NLwith(agents = t1, var = "breed", val = c("sheep", "wolf"))