Nothing
# context("test-rlabel_local")
pattern <- spatstat.random::runifpoint(n = 250,
win = spatstat.geom::owin(c(0, 100), c(0, 100)))
spatstat.geom::marks(pattern) <- runif(n = 250, min = 10, max = 120)
test_that("rlabel_local returns nsim", {
null_model <- rlabel_local(X = pattern, distance = 25, nsim = 19,
drop = FALSE)
expect_length(null_model, n = 19)
})
test_that("rlabel_local randomizes marks", {
null_model <- rlabel_local(X = pattern, distance = 25, nsim = 19,
drop = FALSE)
marks_original <- spatstat.geom::marks(pattern)
check <- any(vapply(X = null_model,
FUN = function(x) all(spatstat.geom::marks(x) == marks_original),
FUN.VALUE = logical(1)))
expect_false(check)
})
test_that("rlabel_local return only ppp", {
null_model <- rlabel_local(X = pattern, distance = 25, nsim = 1,
drop = TRUE)
expect_s3_class(object = null_model, class = "ppp")
})
test_that("rlabel_local returns error", {
expect_error(rlabel_local(X = pattern, distance = 5, nsim = 19,
drop = FALSE),
regexp = "Not all points have at least one neighbour within the specified distance.")
expect_error(rlabel_local(X = spatstat.geom::unmark(pattern),
distance = 5, nsim = 19,
drop = FALSE),
regexp = "Please provide pattern with numeric marks.")
})
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