NLdist: Distances between agents

NLdistR Documentation

Distances between agents

Description

Report the distances between agents and agents2.

Usage

NLdist(agents, agents2, world, torus = FALSE, allPairs = FALSE)

## S4 method for signature 'matrix,matrix'
NLdist(agents, agents2, world, torus = FALSE, allPairs = FALSE)

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`.
agents2

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

           `AgentMatrix` object representing the moving `agents`, or

           Matrix (`ncol` = 2) with the first column `x` and the second column
           `y` representing locations coordinates.
world

WorldMatrix or worldArray object.

torus

Logical to determine if the world is wrapped. Default is torus = FALSE.

allPairs

Logical. Only relevant if the number of agents/locations in agents and in agents2 are the same. If allPairs = FALSE, the distance between each agents with the corresponding agents2 is returned. If allPairs = TRUE, a full distance matrix is returned. Default is allPairs = FALSE.

Details

Distances from/to a patch are measured from/to its center.

     If `torus = FALSE`, `world` does not need to be provided.

     If `torus = TRUE`, a distance around the sides of the `world` is
     reported only if smaller than the one across the `world`.

Value

Numeric. Vector of distances between agents and agents2 if agents and/or agents2 contained one agent/location, or if agents and agents2 contained the same number of agents/locations and allPairs = FALSE, or

    Matrix of distances between `agents` (rows) and
    `agents2` (columns)
    if `agents` and `agents2` are of different lengths,
    or of same length
    and `allPairs = TRUE`.

Author(s)

Sarah Bauduin

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#distance

     <https://ccl.northwestern.edu/netlogo/docs/dictionary.html#distancexy>

Examples

w1 <- createWorld(minPxcor = 0, maxPxcor = 9, minPycor = 0, maxPycor = 9)
NLdist(agents = patch(w1, 0, 0), agents2 = patch(w1, c(1, 9), c(1, 9)))
NLdist(agents = patch(w1, 0, 0), agents2 = patch(w1, c(1, 9), c(1, 9)),
       world = w1, torus = TRUE)
t1 <- createTurtles(n = 2, coords = randomXYcor(w1, n = 2))
NLdist(agents = t1, agents2 = patch(w1, c(1,9), c(1,9)), allPairs = TRUE)



NetLogoR documentation built on Aug. 17, 2022, 9:06 a.m.