R: Generate N Uniform Random Points in Any Dimensions

runifpointx {spatstat.core} | R Documentation

## Generate N Uniform Random Points in Any Dimensions

### Description

Generate a random point pattern containing `n` independent, uniform random points in any number of spatial dimensions.

### Usage

    runifpointx(n, domain, nsim=1, drop=TRUE)

### Arguments

`n` | Number of points to be generated.
`domain` | Multi-dimensional box in which the process should be generated. An object of class `"boxx"`.
`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 single point pattern.

### Details

This function generates a pattern of `n` independent random points, uniformly distributed in the multi-dimensional box `domain`.

### Value

If `nsim = 1` and `drop=TRUE`, a point pattern (an object of class `"ppx"`). If `nsim > 1` or `drop=FALSE`, 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

`rpoisppx`, `ppx`, `boxx`

### Examples

       w <- boxx(x=c(0,1), y=c(0,1), z=c(0,1), t=c(0,3))
       X <- runifpointx(50, w)

[Package spatstat.core version 2.3-1 Index]