context("02-misc") test_that("Gurobi installation checks", { expect_equal(is.GurobiInstalled(FALSE), requireNamespace("gurobi", quietly = TRUE)) }) test_that("blank.raster function", { # generate planning units rst <- blank.raster(sim.pus(n = 225L), 1) # check simulated dataset expect_true(inherits(rst, "SpatRaster")) expect_equal(terra::ncell(rst), 225L) expect_equal(terra::xmin(rst), -7.5) expect_equal(terra::ymin(rst), -7.5) expect_equal(terra::xmax(rst), 7.5) expect_equal(terra::xmax(rst), 7.5) expect_equal(terra::global(is.na(rst), "sum")[[1]], 0) }) test_that("randomPoints function", { sim_spp <- sim.species(sim.pus(225L), model = "normal", res = 1) pts <- randomPoints(sim_spp, 10) expect_equal(ncol(pts), 2) expect_equal(nrow(pts), 10) expect_equal(sum(is.na(c(pts))), 0) }) test_that("urap.proportion.held", { km <- kmeans(iris[1:5, -5], centers = 3) prop <- urap.proportion.held(km$centers, as.matrix(iris[1:5, -5])) ## tests # compare proportions expect_equal(km$betweenss / km$totss, prop) }) test_that("rrap.proportion.held", { data(sim_ru) sim_rd <- sim_ru %>% spp.subset(3L) %>% pu.subset(1:5) %>% dp.subset(1, 1, 10:11) %>% slot("data") # rrap.proportion.held prop1 <- rrap.proportion.held( sim_rd@attribute.spaces[[1]]@spaces[[1]]@planning.unit.points@coords, sim_rd@pu.species.probabilities$value, sim_rd@attribute.spaces[[1]]@spaces[[1]]@demand.points@coords, sim_rd@attribute.spaces[[1]]@spaces[[1]]@demand.points@weights, 0, 3L) # calcReliableMetrics prop2 <- calcReliableMetrics(sim_rd, 1, 1, RapReliableOpts(failure.multiplier = 0, max.r.level = 3L))$prop # compare proportions expect_equal(prop1, prop2) })