N agents with minimum

Report the n patches or turtles among agents which have their variable among the minimum values.

minNof(agents, n, world, var)

# S4 method for matrix,numeric,worldMatrix,missing
minNof(agents, n, world)

# S4 method for matrix,numeric,worldArray,character
minNof(agents, n, world, var)

# S4 method for agentMatrix,numeric,missing,character
minNof(agents, n, var)

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`.

n

Integer.

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().

Value

Matrix (ncol = 2, nrow = n) with the first column pxcor and the second column pycor representing the coordinates of the n

patches among the agents which have their variable values among the minimum values among the agents, or

    `AgentMatrix` of length `n` representing the `turtles` among the

    `agents` which

    have their `var` values among the minimum values among the `agents`.

Details

world must not be provided if agents are turtles.

     If there is a tie that would make the number of returned `patches` or `turtles` larger

     than `n`, it is broken randomly.

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#min-n-of

Author

Sarah Bauduin

Examples

# Patches
w1 <- createWorld(
  minPxcor = 0, maxPxcor = 4, minPycor = 0, maxPycor = 4,
  data = sample(1:10, size = 25, replace = TRUE)
)
plot(w1)

p1 <- minNof(agents = patches(w1), n = 6, world = w1)

# Turtles
t1 <- createTurtles(
  n = 10, coords = randomXYcor(w1, n = 10),
  heading = sample(1:5, size = 10, replace = TRUE)
)
t2 <- minNof(agents = t1, n = 5, var = "heading")