constructHyperframe: Calculates the K functions and weights for a hyperframe

In robertbagchi/ReplicatedPointPatterns: Analysis of replicated point patterns with covariates

Description

Takes a hyperframe and calcualtes the K functions and the weights for that hyperframe given the edge correction and weights type.

Usage

constructHyperframe(hyper, r, correction, pppx='pppx', weights.type)

Arguments

hyper	A hyperframe that must have an element called pppx
r	distances at which to compute r
correction	The edge correction by name - options are those for Kest in spatstat. Defaults to 'border'
pppx	The name of the element with the ppp object. Experimental.
weights.type	The type of regression weights to be calculated. Options are 'nx', 'nx_A', 'nx2', 'nx2_A', 'sqrtnxny', 'nxny', 'nxny_A', 'sqrtnxny_A'

Author(s)

Robert Bagchi Maintainer: Robert Bagchi <[e-mail]>

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (hyper, r, correction, weights.type) 
{
    if (min(r) > 0) 
        r <- c(0, r)
    if (!all(c("pppx") %in% names(hyper))) {
        stop("hyperframe object must include 'pppx' element")
    }
    hyper$K <- with.hyperframe(hyper, Kest(pppx, r = r, correction = correction, 
        ratio = TRUE))
    hyper$wts <- with.hyperframe(hyper, list(kfunc.weights.calc(pppx, 
        r = K$r, correction = correction, type = weights.type)))
    minsamp <- sapply(with.hyperframe(hyper, list(kfunc.weights.calc(pppx, 
        r = K$r, correction = correction, type = "nx"))), function(x) min(x[[1]]))
    hyper$minsamp <- minsamp
    return(hyper)
  }

robertbagchi/ReplicatedPointPatterns documentation built on May 27, 2019, 10:32 a.m.