R: Generate N Uniform Random Points in Three Dimensions

runifpoint3 {spatstat.core} | R Documentation

## Generate N Uniform Random Points in Three Dimensions

### Description

Generate a random point pattern containing `n` independent, uniform random points in three dimensions.

### Usage

    runifpoint3(n, domain = box3(), nsim=1, drop=TRUE)

### Arguments

`n` | Number of points to be generated.
`domain` | Three-dimensional box in which the process should be generated. An object of class `"box3"`.
`nsim` | Number of simulated realisations to be generated.
`drop` | Logical. If `nsim=1` and `drop=TRUE` (the default), the result will be a point pattern, rather than a list containing a point pattern.

### Details

This function generates `n` independent random points, uniformly distributed in the three-dimensional box `domain`.

### Value

If `nsim = 1` and `drop=TRUE`, a point pattern in three dimensions (an object of class `"pp3"`). If `nsim > 1`, a list of such point patterns.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

and Rolf Turner r.turner@auckland.ac.nz

### See Also

`rpoispp3`, `pp3`, `box3`

### Examples

       X <- runifpoint3(50)

[Package spatstat.core version 1.65-5 Index]