user_hyperframe {groupedHyperframe} | R Documentation |
User Interface of Operations on hyperframe with One-and-Only-One ppp-hypercolumn
Description
See workhorse function op_hyperframe()
.
Usage
Emark_(X, correction = "none", ...)
Vmark_(X, correction = "none", ...)
Kmark_(X, correction = "none", ...)
markcorr_(X, correction = "none", ...)
markvario_(X, correction = "none", ...)
Gcross_(X, correction = "none", ...)
Jcross_(X, correction = "none", ...)
Kcross_(X, correction = "none", ...)
Lcross_(X, correction = "none", ...)
nncross_(X, ...)
Arguments
X |
|
correction |
character scalar,
see functions
markcorr,
Gcross,
etc.
Default |
... |
additional parameters of user operation |
Details
See explanations in workhorse function op_hyperframe()
.
Value
See explanations in workhorse function op_hyperframe()
.
Examples
library(spatstat.data)
library(spatstat.geom)
# no good example for [Emark_.hyperframe]
# no hyperframe with ppp-hypercolumn with numeric marks
flu$pattern[] = flu$pattern |>
lapply(FUN = `mark_name<-`, value = 'stain') # read ?flu carefully
r = seq.int(from = 0, to = 100, by = 5)
flu |>
subset(stain == 'M2-M1') |>
Gcross_(i = 'M1', j = 'M2', r = r, correction = 'best', mc.cores = 1L)
flu |>
subset(stain == 'M2-M1') |>
nncross_(i = 'M1', j = 'M2', mc.cores = 1L)
[Package groupedHyperframe version 0.2.4 Index]