context("Clustering Functions")
# cellTypesPerCluster ==========================================================
test_that("cellTypesPerCluster", {
x <- cellTypesPerCluster(known_markers_small)
expect_is(x, "grouped_df")
expect_identical(dplyr::group_vars(x), "cluster")
expect_identical(
lapply(x, class),
list(
cluster = "factor",
cellType = "factor",
n = "integer",
geneID = "character",
geneName = "character"
)
)
})
# knownMarkersDetected =========================================================
test_that("knownMarkersDetected", {
x <- knownMarkersDetected(
object = all_markers_small,
known = cellTypeMarkers[["homoSapiens"]]
)
expect_is(x, "grouped_df")
expect_identical(dplyr::group_vars(x), "cellType")
expect_identical(
lapply(x, class),
list(
cellType = "factor",
cluster = "factor",
geneID = "character",
geneName = "character",
avgLogFC = "numeric",
pct1 = "numeric",
pct2 = "numeric",
rowname = "character",
pvalue = "numeric",
padj = "numeric",
geneBiotype = "factor",
description = "character",
seqCoordSystem = "factor",
broadClass = "factor"
)
)
})
# sanitizeMarkers ==============================================================
test_that("sanitizeMarkers : seurat", {
expect_message(
sanitizeMarkers(
object = seurat_small,
markers = all_markers_small
),
"Markers are already sanitized"
)
# FindAllMarkers
invisible(capture.output(
all <- Seurat::FindAllMarkers(seurat_small)
))
x <- sanitizeMarkers(object = seurat_small, markers = all)
expect_is(x, "grouped_df")
# FindMarkers
invisible(capture.output(
ident3 <- Seurat::FindMarkers(
seurat_small,
ident.1 = "3",
ident.2 = NULL
)
))
x <- sanitizeMarkers(
object = seurat_small,
markers = ident3
)
expect_is(x, "data.frame")
expect_true(tibble::has_rownames(x))
})
# topMarkers ===================================================================
test_that("topMarkers : grouped_df", {
x <- topMarkers(all_markers_small)
expect_is(x, "grouped_df")
expect_identical(dplyr::group_vars(x), "cluster")
expect_identical(
lapply(x, class),
list(
cluster = "factor",
avgLogFC = "numeric",
pct1 = "numeric",
pct2 = "numeric",
rowname = "character",
pvalue = "numeric",
padj = "numeric",
geneID = "character",
geneName = "character",
geneBiotype = "factor",
description = "character",
seqCoordSystem = "factor",
broadClass = "factor"
)
)
})
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