# runifpoint

From spatstat v1.15-2
by Adrian Baddeley

##### Generate N Uniform Random Points

Generate a random point pattern containing $n$ independent uniform random points.

##### Usage

`runifpoint(n, win=owin(c(0,1),c(0,1)), giveup=1000)`

##### Arguments

- n
- Number of points.
- win
- Window in which to simulate the pattern.
An object of class
`"owin"`

or something acceptable to`as.owin`

. - giveup
- Number of attempts in the rejection method after which the algorithm should stop trying to generate new points.

##### Details

This function generates `n`

independent random points,
uniformly distributed in the window `win`

.
(For nonuniform distributions, see `rpoint`

.)

The algorithm depends on the type of window, as follows:

- If
`win`

is a rectangle then$n$independent random points, uniformly distributed in the rectangle, are generated by assigning uniform random values to their cartesian coordinates. - If
`win`

is a binary image mask, then a random sequence of pixels is selected (using`sample`

) with equal probabilities. Then for each pixel in the sequence we generate a uniformly distributed random point in that pixel. - If
`win`

is a polygonal window, the algorithm uses the rejection method. It finds a rectangle enclosing the window, generates points in this rectangle, and tests whether they fall in the desired window. It gives up when`giveup * n`

tests have been performed without yielding`n`

successes.

##### Value

- The simulated point pattern (an object of class
`"ppp"`

).

##### See Also

##### Examples

```
# 100 random points in the unit square
pp <- runifpoint(100)
# irregular window
data(letterR)
# polygonal
pp <- runifpoint(100, letterR)
# binary image mask
pp <- runifpoint(100, as.mask(letterR))
```

*Documentation reproduced from package spatstat, version 1.15-2, License: GPL (>= 2)*

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