# rlpp

##### Random Points on a Linear Network

Generates \(n\) independent random points on a linear network with a specified probability density.

##### Usage

`rlpp(n, f, …, nsim=1, drop=TRUE)`

##### Arguments

- n
Number of random points to generate. A nonnegative integer giving the number of points, or an integer vector giving the numbers of points of each type.

- f
Probability density (not necessarily normalised). A pixel image on a linear network (object of class

`"linim"`

) or a function on a linear network (object of class`"linfun"`

). Alternatively,`f`

can be a list of functions or pixel images, giving the densities of points of each type.- …
Additional arguments passed to

`f`

if it is a function or a list of functions.- nsim
Number of simulated realisations to generate.

- drop
Logical value indicating what to do when

`nsim=1`

. If`drop=TRUE`

(the default), the result is a point pattern. If`drop=FALSE`

, the result is a list with one entry which is a point pattern.

##### Details

The linear network `L`

, on which the points will be generated,
is determined by the argument `f`

.

If `f`

is a function, it is converted to a pixel image
on the linear network, using any additional function arguments
`…`

.

If `n`

is a single integer and `f`

is a function or pixel image,
then independent random points are generated on `L`

with
probability density proportional to `f`

.

If `n`

is an integer vector and `f`

is a list of functions
or pixel images, where `n`

and `f`

have the same length,
then independent random points of several types are generated on
`L`

, with `n[i]`

points of type `i`

having probability
density proportional to `f[[i]]`

.

##### Value

If `nsim = 1`

and `drop=TRUE`

,
a point pattern on the linear network,
i.e.\ an object of class `"lpp"`

.
Otherwise, a list of such point patterns.

##### See Also

##### Examples

```
# NOT RUN {
g <- function(x, y, seg, tp) { exp(x + 3*y) }
f <- linfun(g, simplenet)
rlpp(20, f)
plot(rlpp(20, f, nsim=3))
# }
```

*Documentation reproduced from package spatstat, version 1.63-0, License: GPL (>= 2)*