test_that("Cell Type Wrapper", {
cellSummaries <- countsByCell(
scExp = small_airway,
subjectVar = "orig.ident", cellVar = "celltype"
)
expect_equivalent(
names(cellSummaries),
unique(as.character(small_airway$celltype))
)
expect_identical(
unique(vapply(cellSummaries, class, character(1))),
"SummarizedExperiment"
)
})
test_that("Cell Type Wrapper", {
library(SummarizedExperiment)
library(SingleCellExperiment)
## Error for non-`SingleCellExperiment` object input for `scExp`.
seWarning <-
SummarizedExperiment(
assays = list("counts" = assay(small_airway, "counts")),
colData = colData(small_airway)
)
expect_error(
aggregateBioVar(
scExp = seWarning, subjectVar = "orig.ident", cellVar = "celltype"
)
)
## Message to subset first assay slot if multiple slots are present.
scExpMultiAssay <- SingleCellExperiment(
assay = list(
"RNA" = assay(small_airway, "counts"),
"counts" = assay(small_airway, "counts")
),
colData = colData(small_airway)
)
expect_message(
aggregateCounts <- aggregateBioVar(
scExp = scExpMultiAssay,
subjectVar = "orig.ident", cellVar = "celltype"
), regexp = "counts from assay: RNA"
)
## Message for character vector coercion of metadata variables.
expect_message(
aggregateBioVar(
scExp = small_airway,
subjectVar = "orig.ident", cellVar = "celltype"
), regexp = "Coercing metadata variable to character: celltype"
)
## Expected return list output with cell type names.
expect_is(aggregateCounts, "list")
expect_equivalent(
c("AllCells", unique(as.character(small_airway$celltype))),
names(aggregateCounts)
)
})
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