R: Methods for Influence Objects

methods.influence.ppm {spatstat.core} | R Documentation

## Methods for Influence Objects

### Description

Methods for the class `"influence.ppm"`.

### Usage

      ## S3 method for class 'influence.ppm'
    as.ppp(X, ...)

     ## S3 method for class 'influence.ppm'
    as.owin(W, ..., fatal=TRUE)

     ## S3 method for class 'influence.ppm'
    domain(X, ...)

     ## S3 method for class 'influence.ppm'
    Smooth(X, ...)

     ## S3 method for class 'influence.ppm'
    Window(X, ...)

     ## S3 method for class 'influence.ppm'
    integral(f, domain, ...)

### Arguments

`X,W,f` | An object of class `"influence.ppm"`.
`domain` | Optional. Domain of integration: a window (class `"owin"`) or a tessellation (class `"tess"`).
`...` | Additional arguments. See Details.
`fatal` | Logical value indicating what to do if the data cannot be converted to a window. If `fatal=TRUE` (the default) an error occurs. If `fatal=FALSE` a value of `NULL` is returned.

### Details

These functions are methods for the class `"influence.ppm"`. An object of this class represents the influence measure of a fitted point process model (see `influence.ppm`).

For `as.ppp`, `domain`, `integral` and `Window`, additional arguments (`...`) are ignored. For `as.owin` and `Smooth`, additional arguments are passed to the method for class `"ppp"`.

### Value

A window (object of class `"owin"`) for `as.owin`, `domain` and `Window`. A point pattern (object of class `"ppp"`) for `as.ppp`. A numeric value or numeric vector for `integral`. A pixel image, or list of pixel images, for `Smooth`.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk

### See Also

`influence.ppm`, `plot.influence.ppm`, `[.influence.ppm`

### Examples

     fit <- ppm(cells ~ x)
     a <- influence(fit)
     Window(a)

[Package spatstat.core version 2.4-4 Index]