rpoisppx
Generate Poisson Point Pattern in Any Dimensions
Generate a random multi-dimensional point pattern using the homogeneous Poisson process.
Usage
rpoisppx(lambda, domain, nsim=1, drop=TRUE)
Arguments
- lambda
Intensity of the Poisson process. A single positive number.
- 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
anddrop=TRUE
(the default), the result will be a point pattern, rather than a list containing a single point pattern.
Details
This function generates a realisation
of the homogeneous Poisson process in multi dimensions,
with intensity lambda
(points per unit volume).
The realisation is generated inside the multi-dimensional region
domain
which currently must be a rectangular box (object of
class "boxx"
).
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.
Note
The intensity lambda
is the expected number of points
per unit volume.
See Also
Examples
# NOT RUN {
w <- boxx(x=c(0,1), y=c(0,1), z=c(0,1), t=c(0,3))
X <- rpoisppx(10, w)
# }