context("mock diagnostics")
# A small mock table
taxa <- data.frame(
kingdom = sample(letters[1:3], 100, replace = TRUE),
genus = sample(letters[4:10], 100, replace = TRUE),
species = sample(letters[11:26], 100, replace = TRUE)
)
otus <- replicate(4, runif(100))
colnames(otus) <- paste0("S", 1:4)
ps <- phyloseq(tax_table(as.matrix(taxa)),
otu_table(otus, taxa_are_rows = TRUE))
test_that("taxa can be found and counted", {
fi <- taxa_metrics(tax_table(ps), tax_table(ps))
expect_equivalent(fi$precision, rep(1, 3))
expect_equivalent(fi$recall, rep(1, 3))
expect_equivalent(fi$F1, rep(1, 3))
expect_equal(nrow(fi), 3)
fi <- taxa_metrics(tax_table(ps), tax_table(as.matrix(taxa[-1, ])))
expect_true(all(fi$precision <= 1))
expect_equal(nrow(fi), 3)
})
test_that("taxa quantification can be calculated", {
q <- taxa_quants(ps, ps)
expect_equal(colnames(q), c("level", "name", "sample", "measured",
"reference"))
expect_true(all(q$level %in% names(taxa)[-4]))
expect_equal(q$measured, q$reference)
p <- mock_plot(ps, ps)
expect_true("ggplot" %in% class(p))
})
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