library(mctoolsr)
context("Dissimilarity-based functions")
test_that("Dissimilarity calculation doesn't throw error.", {
expect_that(calc_dm(fruits_veggies$data_loaded), not(throws_error()))
})
test_that("Ordination calculation doesn't throw error.", {
expect_that({
dm = calc_dm(fruits_veggies$data_loaded)
tmp = capture.output(ord <- calc_ordination(dm, ord_type = 'nmds'))
ord},
not(throws_error()))
})
test_that("Plotting ordination doesn't throw error.", {
expect_that({
dm = calc_dm(fruits_veggies$data_loaded)
tmp = capture.output(ord <- calc_ordination(dm, ord_type = 'nmds'))
plot_ordination(fruits_veggies, ord, 'Sample_type')},
not(throws_error()))
})
test_that("Calculating mean dissimilarities doesn't throw error.", {
expect_that({
dm = calc_dm(fruits_veggies$data_loaded)
calc_mean_dissimilarities(dm, fruits_veggies$map_loaded, 'Sample_type')},
not(throws_error()))
})
test_that("Mean dissimilarities are calculated correctly.", {
expect_equivalent({
known_dm = data.frame(Lettuce = c(NA, 0.9497335, 0.8986858, 0.7917143),
Mushrooms = c(NA, NA, 0.9699253, 0.9411904),
Strawberries = c(NA, NA, NA, 0.8495972),
Spinach = c(NA, NA, NA, NA))
row.names(known_dm) = c('Lettuce', 'Mushrooms', 'Strawberries', 'Spinach')
as.dist(known_dm)
}, {
dm = calc_dm(fruits_veggies$data_loaded)
round(calc_mean_dissimilarities(dm, fruits_veggies$map_loaded,
'Sample_type'), 7)
})
})
test_that("Dendrogram plots without error.", {
expect_that(plot_dendrogram(calc_dm(fruits_veggies$data_loaded),
fruits_veggies$map_loaded, "Sample_type",
"Farm_type"),
not(throws_error()))
})
test_that("plot_nmds does not throw error when plotting.", {
expect_that({
capture.output(plot_nmds(
calc_dm(fruits_veggies$data_loaded),
fruits_veggies$map_loaded, "Sample_type", "Farm_type"
), file = NULL)
},
not(throws_error()))
unlink('Rplots.pdf')
})
test_that("Converting to 3 column format does not throw error.", {
expect_that(convert_dm_to_3_column(calc_dm(fruits_veggies$data_loaded)),
not(throws_error()))
})
test_that("Metadata adds without error.", {
expect_that(add_metadata_to_dm_clmns(convert_dm_to_3_column(calc_dm(
fruits_veggies$data_loaded)), fruits_veggies$map_loaded, "Sample_type"),
not(throws_error()))
})
test_that("Pairwise PERMANOVA calculations go without error.", {
expect_that(calc_pairwise_permanovas(calc_dm(fruits_veggies$data_loaded),
fruits_veggies$map_loaded,
"Sample_type"),
not(throws_error()))
})
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