Nothing
context("SCE functions")
sce <- simpleSimulate()
test_that("addFeatureStats works with counts", {
ss <- addFeatureStats(sce)
expect_true(all(c("MeanCounts", "VarCounts", "CVCounts", "MedCounts",
"MADCounts") %in% colnames(rowData(ss))))
ss <- addFeatureStats(sce, log = TRUE)
expect_true(all(c("MeanLogCounts", "VarLogCounts", "CVLogCounts",
"MedLogCounts", "MADLogCounts") %in%
colnames(rowData(ss))))
ss <- addFeatureStats(sce, no.zeros = TRUE)
expect_true(all(c("MeanCountsNo0", "VarCountsNo0", "CVCountsNo0",
"MedCountsNo0", "MADCountsNo0") %in%
colnames(rowData(ss))))
ss <- addFeatureStats(sce, log = TRUE, no.zeros = TRUE)
expect_true(all(c("MeanLogCountsNo0", "VarLogCountsNo0", "CVLogCountsNo0",
"MedLogCountsNo0", "MADLogCountsNo0") %in%
colnames(rowData(ss))))
})
test_that("addGeneLengths generate method works", {
expect_silent(addGeneLengths(sce))
expect_error(addGeneLengths("a"))
expect_error(addGeneLengths(sce, loc = "a"))
expect_error(addGeneLengths(sce, scale = "a"))
expect_error(addGeneLengths(sce, scale = -1))
})
test_that("addGeneLength sample method works", {
lens <- round(runif(100, 100, 10000))
expect_silent(addGeneLengths(sce, method = "sample", lengths = lens))
expect_error(addGeneLengths(sce, method = "sample"))
expect_error(addGeneLengths(sce, method = "sample"), lengths = 0)
expect_error(addGeneLengths(sce, method = "sample"), lengths = "a")
})
test_that("minimiseSCE works", {
min_sce <- minimiseSCE(sce)
expect_s4_class(min_sce, "SingleCellExperiment")
})
test_that("minimiseSCE keep arguments work", {
min_sce <- minimiseSCE(sce, rowData.keep = "Gene", verbose = FALSE)
expect_true("Gene" %in% colnames(rowData(min_sce)))
min_sce <- minimiseSCE(sce, colData.keep = "Cell", verbose = FALSE)
expect_true("Cell" %in% colnames(colData(min_sce)))
min_sce <- minimiseSCE(sce, metadata.keep = "Params", verbose = FALSE)
expect_true("Params" %in% names(metadata(min_sce)))
min_sce <- minimiseSCE(sce, assays.keep = FALSE, verbose = FALSE)
expect_true(length(assays(min_sce)) == 0)
})
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