sce_lanesplit2 <- # nolint
readRDS(file.path(cacheDir, "sce_lanesplit.rds"))
test_that("SingleCellExperiment", {
object <- sce_lanesplit
n1 <- sum(assay(object))
object <- aggregate(object, fun = "sum", MARGIN = 2L)
n2 <- sum(assay(object))
expect_identical(n1, n2)
expect_s4_class(object, "SingleCellExperiment")
expect_identical(dim(object), c(100L, 8L))
## NOTE These values can change when we update AcidTest.
expect_identical(
object = head(colSums(counts(object))),
expected = c(
## nolint start
"sample_1_AAAAAA_AAAAAA_AAAAAA" = 285904,
"sample_1_CCCCCC_CCCCCC_CCCCCC" = 269199,
"sample_1_GGGGGG_GGGGGG_GGGGGG" = 253414,
"sample_1_TTTTTT_TTTTTT_TTTTTT" = 259122,
"sample_2_AAAAAA_AAAAAA_AAAAAA" = 228466,
"sample_2_CCCCCC_CCCCCC_CCCCCC" = 205080
## nolint end
)
)
})
test_that("Aggregation methods defined in AcidExperiment", {
object <- sce_lanesplit
rowData(object)[["aggregate"]] <- as.factor("AAA")
for (object in list(
aggregate(object, MARGIN = 1L),
aggregate(object, MARGIN = 2L),
aggregateRows(object),
aggregateCols(object)
)) {
expect_s4_class(object, "SingleCellExperiment")
}
})
test_that("sce_lanesplit2", {
object <- sce_lanesplit2
object <- aggregate(object, fun = "sum", MARGIN = 2L)
expect_s4_class(object, "SingleCellExperiment")
expect_identical(dim(object), c(100L, 6432L))
expect_identical(
object = head(colSums(counts(object))),
expected = c(
## nolint start
"CD3H_AAAGAA_AAAGAA_TGCTAA" = 0,
"CD3H_AAAGAA_ACTGCA_CCTCTA" = 97,
"CD3H_AAAGAA_ACTGCA_GCCAGA" = 0,
"CD3H_AAAGAA_AGCACG_CGGTCC" = 23,
"CD3H_AAAGAA_AGTCTG_GCGCGG" = 1,
"CD3H_AAAGAA_ATTAGT_AGATGT" = 1
## nolint end
)
)
})
test_that("SingleCellExperiment", {
object <- sce
object <- aggregateCellsToSamples(object)
## NOTE These values can change we we update AcidTest.
expect_identical(
object = colSums(counts(object)),
expected = c(
## nolint start
"sample1" = 5810045,
"sample2" = 5835694,
"sample3" = 7253620,
"sample4" = 5524187
## nolint end
)
)
})
test_that("sce_lanesplit2", {
object <- sce_lanesplit2
object <- aggregateCellsToSamples(object)
expect_identical(
object = head(colSums(counts(object))),
expected = c(
## nolint start
CD3H_1_L001 = 3991,
CD3H_1_L002 = 3961,
CD3H_1_L003 = 3644,
CD3H_1_L004 = 3629,
CD3H_2_L001 = 2226,
CD3H_2_L002 = 2228
## nolint end
)
)
})
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