test_that(".splitSE", {
m <- matrix(1:100, ncol = 10,
dimnames = list(paste0("row", 1:10),
paste0("col", 1:10)))
se <- SummarizedExperiment(assays = m,
rowData = DataFrame(rowDataCol = 1:nrow(m)%%3),
colData = DataFrame(colvar = 1:ncol(m)%%5))
## Split by row
expect_identical(length(.splitSE(se, "rowDataCol")), 3L)
## Split by col
expect_identical(length(.splitSE(se, "colvar")), 5L)
## Error: variable not found
expect_error(.splitSE(se, "foo"),
regexp = "not found")
## Error: cannot split using more than 1 variable
expect_error(.splitSE(se, c("Raw.file", "protein")),
regexp = "not compatible with dim.")
## Error: factor is too short
expect_error(.splitSE(se, factor(1:3)),
regexp = "not compatible with dim")
})
test_that(".checkFilterVariables works", {
rd <- List(X1 = DataFrame(x = 1:3,
y = 1:3),
X2 = DataFrame(x = 1:3,
z = 1:3),
X3 = DataFrame(x = 1:3,
z = 1:3))
expect_true(all(.checkFilterVariables(rd, "x")))
expect_message(.checkFilterVariables(rd, "x"),
"'x' found in 3 out of 3 assay")
expect_equivalent(rowSums(.checkFilterVariables(rd, "z")), 2L)
expect_message(.checkFilterVariables(rd, "z"),
"'z' found in 2 out of 3 assay")
expect_equivalent(rowSums(.checkFilterVariables(rd, "y")), 1L)
expect_message(.checkFilterVariables(rd, "y"),
"'y' found in 1 out of 3 assay")
expect_error(.checkFilterVariables(rd, "v"),
"'v' is/are absent from all rowData.")
w <- 1
## expect_error(.checkFilterVariables(rd, "w"),
## "No vars left.")
expect_error(.checkFilterVariables(rd, "ww"),
"'ww' is/are absent from all rowData.")
})
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