context("Data Functions")
# counts =======================================================================
test_that("counts : normalized argument", {
normalized <- list(FALSE, TRUE, "tpm", "tmm", "rlog", "vst")
# Check that all are matrices
expect_true(all(vapply(
X = normalized,
FUN = function(arg) {
is.matrix(counts(bcb_small, normalized = arg))
},
FUN.VALUE = logical(1L)
)))
# FALSE
expect_identical(
counts(bcb_small, normalized = FALSE),
assays(bcb_small)[["counts"]]
)
expect_identical(
counts(bcb_small, normalized = FALSE),
assay(bcb_small)
)
# TRUE
expect_identical(
counts(bcb_small, normalized = TRUE),
assays(bcb_small)[["normalized"]]
)
# tpm
expect_identical(
counts(bcb_small, normalized = "tpm"),
assays(bcb_small)[["tpm"]]
)
expect_identical(
counts(bcb_small, normalized = "tpm"),
tpm(bcb_small)
)
# tmm: calculated on the fly
expect_identical(
counts(bcb_small, normalized = "tmm"),
tmm(bcb_small)
)
# rlog
expect_identical(
counts(bcb_small, normalized = "rlog"),
assays(bcb_small)[["rlog"]]
)
# vst
expect_identical(
counts(bcb_small, normalized = "vst"),
assays(bcb_small)[["vst"]]
)
})
test_that("counts : apply transformationLimit", {
skip <- bcb_small
# Using `assays<-` will coerce bcbioRNASeq to SummarizedExperiment
slot(skip, "assays")[["rlog"]] <- NULL
slot(skip, "assays")[["vst"]] <- NULL
expect_warning(
counts(skip, normalized = "rlog"),
paste(
"rlog not present in assays.",
"Calculating log2 TMM counts instead."
)
)
expect_warning(
counts(skip, normalized = "vst"),
paste(
"vst not present in assays.",
"Calculating log2 TMM counts instead."
)
)
counts <- suppressWarnings(counts(skip, normalized = "rlog"))
expect_is(counts, "matrix")
})
# selectSamples ================================================================
test_that("selectSamples : bcbioRNASeq", {
x <- selectSamples(bcb_small, treatment = "folic_acid")
expect_identical(dim(x), c(500L, 3L))
expect_identical(
names(assays(x)),
c("counts", "tpm", "length", "normalized", "rlog", "vst")
)
})
test_that("selectSamples : DESeqDataSet", {
x <- selectSamples(dds_small, treatment = "folic_acid")
expect_identical(dim(x), c(500L, 3L))
})
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