View source: R/pcf_anin_cylinder.R
pcf_anin_cylinder | R Documentation |
Estimate a cylinder-pcf function for second order reweighted ("inhomogeneous") pattern.
pcf_anin_cylinder( x, u, epsilon, r, lambda = NULL, lambda_h, r_h, stoyan = 0.15, renormalise = TRUE, border = 1, aspect = 1/3, ... )
x |
pp, list with $x~coordinates $bbox~bounding box |
u |
unit vector(s) of direction, as row vectors. Default: x and y axis. |
epsilon |
The cylinder half-width |
r |
radius vector at which to evaluate the function |
lambda |
optional vector of intensity estimates at points |
lambda_h |
if lambda missing, use this bandwidth in a kernel estimate of lambda(x) |
r_h |
smoothing for range dimension, epanechnikov kernel |
stoyan |
If r_h not given, use r_h=stoyan/lambda^(1/dim). Same as 'stoyan' in spatstat's pcf. |
renormalise |
See details. |
border |
Use translation correction? Default=1, yes. Only for cuboidal windows. |
aspect |
If given, instead of using a fixed halfwidth (epsilon) take the halfwidth to be r/(2*aspect). Default : 1/3 |
... |
passed on to e.g. intensity_at_points |
Computes a second order reweighted version of the cylinder-pcf, defined as the function to integrate in range over [0,R] to get the cylinder-K(R) function.
Lambda(x) at points can be given, or else it will be estimated using Epanechnikov kernel smoothing. See
If 'renormalise=TRUE', we normalise the lambda estimate so that sum(1/lambda(x))=|W|. This corresponds in spatstat
's Kinhom
to setting 'normpower=2'.
Returns a dataframe.
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