op_ppplist: Batch Operations of "ppplist" Object

In groupedHyperframe: Grouped Hyper Data Frame: An Extension of Hyper Data Frame

Batch Operations of 'ppplist' Object

Description

Batch operations of function fv_ppp() or dist_ppp(), for a 'ppplist' input.

Usage

op_ppplist(x, op, mc.cores = getOption("mc.cores"), ...)

Arguments

x	a 'ppplist' object
op	workhorse function, either fv_ppp() or dist_ppp()
mc.cores	integer scalar, see function mclapply. Default is 1L on Windows, or detectCores on Mac. CRAN requires mc.cores <= 2L in examples.
...	additional parameters of workhorse functions fv_ppp() or dist_ppp()

Details

Function op_ppplist() is a parallel batch process of the workhorse function fv_ppp() or dist_ppp().

Value

Function op_ppplist() returns a listof

• function fv_ppp() returns, if op = fv_ppp.

• function dist_ppp() returns, if op = dist_ppp.

Examples

library(spatstat.data)
library(spatstat.geom) # for ?spatstat.geom::split.ppp
library(spatstat.explore) # for ?spatstat.explore::Emark, etc.

Vc = with(shapley$marks, expr = {
 cut.default(V, breaks = quantile(V, probs = c(0, 1/3, 2/3, 1)), labels = c('L', 'M', 'H'))
})

x1 = shapley |> 
 subset.ppp(select = c('Mag', 'SigV')) |>
 split.ppp(f = Vc) |>
 op_ppplist(op = fv_ppp, fn = markcorr)
names(x1)
names(x1$L)


x2 = nbfires |> 
  subset.ppp(select = c('fire.type', 'cause', 'ign.src')) |>
  na.omit.ppp() |> 
  split.ppp(f = 'fire.type')
x2 |> op_ppplist(op = dist_ppp, fn = .nncross, i = 'rrds', j = 'ltning')
x2 |> op_ppplist(op = dist_ppp, fn = .nncross, i = 'unknown', j = 'burn.no.perm')

groupedHyperframe documentation built on June 8, 2025, 10:13 a.m.