# Preamble code ----------------------------------------------------------------
data("traits_birds")
simple_site_sp <- matrix(1, nrow = 1, ncol = nrow(traits_birds),
dimnames = list("s1", row.names(traits_birds)))
# Tests for valid inputs -------------------------------------------------------
test_that("Functional Evenness output format", {
feve <- expect_silent(fd_feve(traits_birds, sp_com = simple_site_sp))
expect_s3_class(feve, "data.frame")
expect_identical(dim(feve), c(1L, 2L))
expect_named(feve, c("site", "FEve"))
feve <- expect_silent(fd_feve(traits_birds))
expect_s3_class(feve, "data.frame")
expect_identical(dim(feve), c(1L, 2L))
expect_named(feve, c("site", "FEve"))
})
test_that("Functional Evenness computation are in line with other packages", {
# With internal dataset
expect_equal(fd_feve(traits_birds, simple_site_sp)$FEve, 0.3743341,
tolerance = 1e-6)
# With perfectly spread dataset
test_dissim <- matrix(c(
0, 1, 2,
1, 0, 1,
2, 1, 0
),
byrow = TRUE, ncol = 3, dimnames = list(letters[1:3], letters[1:3]))
abund_mat <- matrix(1, ncol = 3, dimnames = list("site1", letters[1:3]))
expect_identical(fd_feve(sp_com = abund_mat, dist_matrix = test_dissim)$FEve, 1)
})
test_that("Functional Evenness works in 1D", {
expect_identical(
fd_feve(traits_birds[, 1], sp_com = simple_site_sp),
fd_feve(traits_birds[, 1, drop = FALSE], sp_com = simple_site_sp)
)
})
test_that("Functional Evenness works on subset of site/species", {
site_sp <- matrix(1, ncol = nrow(traits_birds))
colnames(site_sp) <- rownames(traits_birds)
rownames(site_sp) <- "s1"
expect_message(fd_feve(traits_birds, site_sp[, 2:ncol(site_sp),
drop = FALSE]),
paste0("Differing number of species between trait dataset ",
"and site-species matrix\nTaking subset of species"))
expect_message(fd_feve(traits_birds[2:nrow(traits_birds),], site_sp),
paste0("Differing number of species between trait dataset ",
"and site-species matrix\nTaking subset of species"))
})
test_that("Functional Evenness edge cases", {
# n_species = 2 < 3 so not possible to compute FEve
expect_identical(fd_feve(traits_birds[1:2,],
simple_site_sp[, 1:2, drop = FALSE])[["FEve"]],
NA_real_)
# n_species = 0, so no definition of FEve
data("traits_plants")
data("site_sp_plants")
feve <- expect_silent(
fd_feve(traits_plants, site_sp_plants[10,, drop = FALSE])
)
expect_identical(feve$FEve[[1]], NA_real_)
})
test_that("Functional Evenness works on sparse matrices", {
skip_if_not_installed("Matrix")
site_sp <- matrix(1, ncol = nrow(traits_birds))
colnames(site_sp) <- rownames(traits_birds)
rownames(site_sp) <- "s1"
sparse_site_sp <- Matrix(site_sp, sparse = TRUE)
sparse_dist_mat <- Matrix(as.matrix(dist(traits_birds)), sparse = TRUE)
# Only site-species matrix is sparse
expect_silent(fd_feve(traits_birds, sparse_site_sp))
expect_equal(
fd_feve(traits_birds, sparse_site_sp),
fd_feve(traits_birds, site_sp)
)
# Only distance matrix is sparse
expect_silent(fd_feve(sp_com = site_sp, dist_matrix = sparse_dist_mat))
expect_equal(
fd_feve(sp_com = site_sp, dist_matrix = sparse_dist_mat),
fd_feve(sp_com = site_sp, dist_matrix = dist(traits_birds))
)
# Both site-species and distance matrix are sparse
expect_silent(fd_feve(sp_com = sparse_site_sp, dist_matrix = sparse_dist_mat))
expect_equal(
fd_feve(sp_com = sparse_site_sp, dist_matrix = sparse_dist_mat),
fd_feve(sp_com = site_sp, dist_matrix = dist(traits_birds))
)
})
test_that("Functional Evenness works on data.frame as well as matrix", {
site_sp <- matrix(1, ncol = nrow(traits_birds))
colnames(site_sp) <- rownames(traits_birds)
rownames(site_sp) <- "s1"
site_sp_df <- as.data.frame(site_sp)
feve <- expect_silent(fd_feve(traits_birds, site_sp))
feve_df <- expect_silent(fd_feve(traits_birds, site_sp_df))
expect_s3_class(feve, "data.frame")
expect_identical(dim(feve), c(1L, 2L))
expect_named(feve, c("site", "FEve"))
expect_equal(
feve,
feve_df
)
})
test_that("Functional Evenness works when sites have no names", {
site_sp_no_names <- site_sp_birds[1,, drop = FALSE]
rownames(site_sp_no_names) <- NULL
feve <- expect_silent(fd_feve(traits_birds, site_sp_no_names))
expect_s3_class(feve, "data.frame")
expect_identical(dim(feve), c(1L, 2L))
expect_named(feve, c("site", "FEve"))
expect_equal(feve$FEve, 0.3841202, tolerance = 1e-7)
expect_equal(feve[1, "site"], "s1")
})
# Tests for invalid inputs -----------------------------------------------------
test_that("Functional Evenness fails gracefully", {
# No traits and no dissimilarity
expect_error(
fd_feve(NULL, matrix(1), NULL),
"Please provide either a trait dataset or a dissimilarity matrix",
fixed = TRUE
)
# Both traits AND dissimilarity
expect_error(
fd_feve(data.frame(a = 1), matrix(1), matrix(1)),
"Please provide either a trait dataset or a dissimilarity matrix",
fixed = TRUE
)
# Species matrix doesn't contain species from trait data
expect_error(
fd_feve(data.frame(a = 1, row.names = "sp1"), matrix(1)),
paste0("No species in common found between trait dataset ",
"and site-species matrix"),
fixed = TRUE
)
## Categorical trait data
# Add non-continuous traits
traits_birds_cat <- as.data.frame(traits_birds)
traits_birds_cat$cat_trait <- "a"
expect_error(
fd_feve(traits_birds_cat, site_sp_birds),
paste0("Non-continuous trait data found in input traits. ",
"Please provide only continuous trait data"),
fixed = TRUE
)
})
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