# methods.linfun

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##### Methods for Functions on Linear Network

Methods for the class "linfun" of functions on a linear network.

Keywords
spatial, math
##### Usage
"print"(x, ...)
"summary"(object, ...)
"plot"(x, ..., L=NULL, eps = NULL, dimyx = NULL, xy = NULL, main)
"as.linim"(X, L, ..., eps = NULL, dimyx = NULL, xy = NULL)
"as.data.frame"(x, ...)
"as.owin"(W, ...)
"as.function"(x, ...)
##### Arguments
X,x,object,W
A function on a linear network (object of class "linfun").
L
A linear network
eps,dimyx,xy
Arguments passed to as.mask to control the pixel resolution.
...
Extra arguments passed to plot.im or print.default, or passed to the function itself.
main
Main title for plot.
##### Details

These are methods for the generic functions plot, print, summary as.data.frame and as.function, and for the spatstat generic functions as.owin and as.linim.

An object of class "linfun" represents a mathematical function that could be evaluated at any location on a linear network. It is essentially an R function with some extra attributes.

The method as.owin.linfun extracts the two-dimensional spatial window containing the linear network. The method as.linim.linfun converts the function to a pixel image on the linear network (an object of class "linim").

The method plot.linfun first converts the function to a pixel image using as.linim.linfun, then plots the image using plot.linim.

Note that a linfun function may have additional arguments, other than those which specify the location on the network (see linfun). These additional arguments may be passed to as.linim and to plot.linfun.

##### Value

For print.linfun and summary.linfun the result is NULL.For plot.linfun the result is the same as for plot.im.For the conversion methods, the result is an object of the required type: as.linim.linfun returns an object of class "linim", and so on.

##### Aliases
• methods.linfun
• print.linfun
• summary.linfun
• plot.linfun
• as.linim.linfun
• as.data.frame.linfun
• as.owin.linfun
• as.function.linfun
##### Examples
   X <- runiflpp(3, simplenet)
f <- nnfun(X)
f
plot(f)
as.function(f)
as.owin(f)
as.linim(f)