Nothing
test_that("MSTEdges() handles bad input", {
expect_error(MSTEdges(matrix(1:12, 6, 2)), "distance")
})
test_that("minimum_spanning_tree.cpp handles bad input", {
expect_equal(minimum_spanning_tree(numeric(0)), matrix(0, 0, 0))
expect_error(minimum_spanning_tree(c(1:-1)),
"`order` contains entries < 0")
expect_error(minimum_spanning_tree(c(3, 100, 1)),
"`order` contains entries > `length.order.`")
expect_error(minimum_spanning_tree(c(3, 1, NA_real_)),
"`order` contains NA")
expect_error(minimum_spanning_tree(0:13),
"`length.order.`.* not.* triangular")
})
test_that("MST edges calculated correctly", {
set.seed(0)
points <- matrix(c(0.1, 0, 1.9, 2, 1.1, 1,
0.1, 2, 0, 2, 1, 1.1,
0, 0, 0, 0, 1, -1), 6)
distances <- dist(points)
apeMst <- matrix(c(5, 6, 6, 5, 5, 1, 1:4), 5)
distMat <- as.matrix(distances)
expect_equal(MSTLength(distances, apeMst),
MSTLength(distances))
expect_equal(MSTLength(distances),
MSTLength(distMat))
MSTPlot <- function() {
plot(points, asp = 1, ann = FALSE)
expect_equal(MSTEdges(distances, FALSE),
MSTEdges(distances, TRUE, points[, 1], points[, 2]))
}
skip_if_not_installed("vdiffr", minimum_version = "1.0.0")
skip_if(packageVersion("graphics") < "4.1.0")
vdiffr::expect_doppelganger("MST plotting", MSTPlot)
})
test_that("MST handles large distance matrices", {
x <- dist(0:300)
expect_equal(c(300, 2), dim(MSTEdges(x)))
})
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