# linfun

0th

Percentile

##### Function on a Linear Network

Create a function on a linear network.

Keywords
spatial, math
##### Usage
linfun(f, L)
##### Arguments
f

A function in the R language.

L

A linear network (object of class "linnet") on which f is defined.

##### Details

This creates an object of class "linfun". This is a simple mechanism for handling a function defined on a linear network, to make it easier to display and manipulate.

f should be a function in the R language, with formal arguments f(x,y,seg,tp) or f(x,y,seg,tp, …) where x,y are Cartesian coordinates of locations on the linear network, seg, tp are the local coordinates, and … are optional additional arguments.

The function f should be vectorised: that is, if x,y,seg,tp are numeric vectors of the same length n, then v <- f(x,y,seg,tp) should be a vector of length n.

L should be a linear network (object of class "linnet") inside which the function f is well-defined.

The result is a function g in the R language which belongs to the special class "linfun". This function can be called as g(X) where X is an "lpp" object, or called as g(x,y) or g(x,y,seg,tp) where x,y,seg,tp are coordinates. There are several methods for this class including print, plot and as.linim.

##### Value

A function in the R\ language. It also belongs to the class "linfun" which has methods for plot, print etc.

methods.linfun for methods applicable to "linfun" objects.

distfun.lpp, nnfun.lpp.

• linfun
##### Examples
# NOT RUN {
f <- linfun(function(x,y,seg,tp) { x+y }, simplenet)
plot(f)
X <- runiflpp(3, simplenet)