Report the `agents`

within the "cone of vision" in front of each one of the
`turtles`

.

```
inCone(turtles, radius, angle, agents, world, torus = FALSE)
# S4 method for agentMatrix,numeric,numeric,matrix
inCone(turtles, radius, angle, agents, world, torus = FALSE)
```

- turtles
`AgentMatrix`

object representing the moving`agents`

.- radius
Numeric. Vector of distances from

`turtles`

to locate`agents`

. Must be of length 1 or of length`turtles`

.- angle
Numeric. Vector of angles to define the size of the cone of vision for the

`turtles`

. The cone of vision is defined between the direction of their`headings`

minus`angle / 2`

to the direction of their`headings`

plus`angle / 2`

. Must be of length 1 or of length`turtles`

.- 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.- torus
Logical to determine if the

`world`

is wrapped. Default is`torus = FALSE`

.

Matrix (`ncol`

= 3) with the first column `pxcor`

and the second column `pycor`

representing the coordinates of the
`patches`

among `agents2`

within the cone of vision of each of the
`turtles`

which are represented by the `id`

column, if
`agents`

are `patches`

, or
Matrix (`ncol`

= 2) with the first column `who`

representing the `who`

numbers of the
`turtles`

among `agents2`

within the cone of vision of each of the
`turtles`

which are represented by the `id`

column, if
`agents`

are `turtles`

.

`agents`

are reported if there are within `radius`

distance of the `turtle`

and their direction from the `turtle`

is within
`[-angle, + angle]`

of the `turtle`

's heading.

Distances to `patches`

are calculated to their center.

If `torus = FALSE`

, `world`

does not need to be provided.

If `torus = TRUE`

, the `radius`

distances are calculated
around the sides of the `world`

to select `agents`

.

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 = 4, minPycor = 0, maxPycor = 4)
t1 <- createTurtles(n = 10, coords = randomXYcor(w1, n = 10))
p1 <- inCone(turtles = t1, radius = 2, agents = patches(w1), angle = 90)
t2 <- inCone(turtles = turtle(t1, who = 0), radius = 2, angle = 90, agents = t1)
```