Nothing
# Run all tests in this script:
## testthat::test_file(file.path("tests", "testthat", "test-ordination.R"))
# Error testing
test_that("Errors work as desired", {
# Necessary prep work
# Use data from the vegan package
utils::data("varespec", package = 'vegan')
# Make some columns of known number of groups
treatment <- c(rep.int("Trt1", (nrow(varespec)/4)),
rep.int("Trt2", (nrow(varespec)/4)),
rep.int("Trt3", (nrow(varespec)/4)),
rep.int("Trt4", (nrow(varespec)/4)))
# And combine them into a single data object
data <- cbind(treatment, varespec)
str(data)
# Get a distance matrix from the data
dist <- vegan::vegdist(varespec, method = 'kulczynski')
# Perform PCoA / NMS
pcoa_mod <- ape::pcoa(dist)
nms_mod <- vegan::metaMDS(data[-1], autotransform = FALSE, expand = FALSE, k = 2, try = 50)
# Actual error testing
expect_error(ordination(mod = NULL, grps = 1:5))
expect_error(ordination(mod = nms_mod, grps = NULL))
expect_error(ordination(mod = pcoa_mod, grps = as.data.frame(1:5)))
expect_error(ordination(mod = pcoa_mod, grps = unique(data$treatment)))
})
# Warning testing
test_that("Warnings work as desired", {
# Necessary prep work
# Use data from the vegan package
utils::data("varespec", package = 'vegan')
# Make some columns of known number of groups
treatment <- c(rep.int("Trt1", (nrow(varespec)/4)),
rep.int("Trt2", (nrow(varespec)/4)),
rep.int("Trt3", (nrow(varespec)/4)),
rep.int("Trt4", (nrow(varespec)/4)))
# And combine them into a single data object
data <- cbind(treatment, varespec)
str(data)
# Get a distance matrix from the data
dist <- vegan::vegdist(varespec, method = 'kulczynski')
# Perform PCoA / NMS
pcoa_mod <- ape::pcoa(dist)
nms_mod <- vegan::metaMDS(data[-1], autotransform = FALSE, expand = FALSE, k = 2, try = 50)
# Actual warning testing
expect_warning(ordination(mod = nms_mod, grps = data$treatment, bad_arg = 555))
})
# Message testing
# test_that("Messages work as desired", {
# # No messages in function
# })
# # Output testing
# test_that("Outputs are as expected", {
# # No output testing yet (should just make a base plot)
# })
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