# Check plant data summaries portal_data_path <- tempdir() eps <- if (capabilities("long.double")) sqrt(.Machine$double.eps) else 0.1 test_that("plant_abundance returns expected results", { plants_all <- plant_abundance(path = portal_data_path, level = "Plot", type = "All", plots = "all", unknowns = TRUE, correct_sp = FALSE, shape = "flat") plants_9698 <- dplyr::filter(plants_all, year %in% 1996:1998) expect_equal(sum(plants_9698$abundance, na.rm = TRUE), 88422, tolerance = eps) plants_erod <- plants_all %>% dplyr::filter(species == 'erod cicu', abundance > 0, year < 2017) expect_equal(max(plants_erod$abundance, na.rm = TRUE), 3369, tolerance = eps) expect_false(anyNA(plants_erod)) expect_equal(nrow(plants_erod), 592) plants_fix_names <- plant_abundance(path = portal_data_path, level = "Plot", type = "All", plots = "all", unknowns = TRUE, correct_sp = TRUE, shape = "flat") expect_equal(sum(plants_all$abundance, na.rm = TRUE), sum(plants_fix_names$abundance, na.rm = TRUE), tolerance = eps) }) test_that("shrub_cover returns expected results", { shrubs_all <- shrub_cover(path = portal_data_path, type = "Shrubs", plots = "all", unknowns = FALSE, correct_sp = FALSE) shrubs_9409 <- dplyr::filter(shrubs_all, year %in% 1994:2009) expect_equal(round(mean(shrubs_9409$cover),4), 0.0234, tolerance = eps) acacia <- shrubs_all %>% dplyr::filter(species == 'acac cons', year < 2017) expect_equal(round(max(acacia$cover),4), 0.4562, tolerance = eps) expect_false(anyNA(acacia$cover)) expect_equal(nrow(acacia), 202) shrubs_fix_names <- shrub_cover(path = portal_data_path, type = "Shrubs", plots = "all", unknowns = FALSE, correct_sp = TRUE) expect_equal(round(mean(shrubs_all$cover),3), round(mean(shrubs_fix_names$cover),3), tolerance = eps) })