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methods.influence.ppm

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

Examples

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

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2
GPL (>= 2)
Authors
Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Initial release
2021-04-17

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