Nothing
context("measurement registering")
test_that("register measurement works for block", {
gr <- GRanges(seqnames="chr1", ranges=IRanges::IRanges(start=1:10, width=100))
ms_obj <- epivizrData:::register(gr)
expect_true(validObject(ms_obj))
expect_is(ms_obj, "EpivizBlockData")
expect_is(ms_obj$.object, "GNCList")
newgr <- as(ms_obj$.object, "GRanges")
mcols(newgr) <- mcols(ms_obj$.object)
expect_equal(newgr, gr)
expect_true(is.null(ms_obj$.columns))
})
test_that("register works for bp data", {
gr <- GRanges(seqnames="chr1", ranges=IRanges::IRanges(start=1:10, width=1),score=rnorm(10))
ms_obj <- epivizrData::register(gr, columns="score", type="bp")
expect_true(validObject(ms_obj))
expect_is(ms_obj, "EpivizBpData")
expect_is(ms_obj$.object, "GNCList")
newgr <- as(ms_obj$.object, "GRanges")
mcols(newgr) <- mcols(ms_obj$.object)
expect_equal(newgr, unname(gr))
expect_equal(ms_obj$.columns, "score")
rng <- range(pretty(range(gr$score)))
expect_equal(ms_obj$.ylim, unname(cbind(rng)))
})
test_that("register works for gene info granges", {
skip_if_not_installed("bumphunter")
gr <- make_test_gene_info()
ms_obj <- epivizrData::register(gr, type="gene_info")
expect_true(validObject(ms_obj))
expect_is(ms_obj, "EpivizGeneInfoData")
expect_is(ms_obj$.object, "GNCList")
expect_true(is.null(ms_obj$.columns))
})
test_that("register works for RangedSummarizedExperiment", {
sset <- make_test_SE()
ms_obj <- epivizrData::register(sset, columns=c("A","B"), assay="counts2")
expect_true(validObject(ms_obj))
order <- order(start(rowRanges(sset)))
sset <- sset[order,]
expect_is(ms_obj, "EpivizFeatureData")
expect_is(ms_obj$.object, "RangedSummarizedExperiment")
gr <- as(rowRanges(ms_obj$.object), "GRanges")
mcols(gr) <- mcols(rowRanges(ms_obj$.object))
expect_false(is.null(gr$probeid))
tmp <- rowRanges(sset)
strand(tmp) <- "*"
o <- order(tmp)
expect_identical(gr, rowRanges(sset)[o,])
# expect_identical(assays(dev$object), assays(sset)[o,])
expect_identical(colData(ms_obj$.object), colData(sset))
columns <- c("A","B")
expect_identical(ms_obj$.columns, columns)
emat <- assay(sset,"counts2")[,c("A","B")]
mat <- assay(ms_obj$.object,"counts2")[,c("A","B")]
expect_equal(emat[o,], mat)
rngs <- apply(emat, 2, function(x) range(pretty(range(x))))
expect_equal(ms_obj$.ylim, rngs, check.attributes=FALSE)
})
test_that("register works for ExpressionSet", {
skip_if_not_installed("hgu133plus2.db")
eset <- make_test_eset()
ms_obj <- epivizrData::register(eset, columns=c("SAMP_1", "SAMP_2"))
expect_true(validObject(ms_obj))
expect_is(ms_obj, "EpivizFeatureData")
expect_is(ms_obj$.object, "RangedSummarizedExperiment")
obj <- ms_obj$.object
gr <- rowRanges(obj)
m <- match(gr$PROBEID, featureNames(eset))
mat <- assay(obj)
expect_equal(exprs(eset)[m,"SAMP_1"], mat[,"SAMP_1"], check.names=FALSE, check.attributes=FALSE)
expect_equal(exprs(eset)[m,"SAMP_2"], mat[,"SAMP_2"], check.names=FALSE, check.attributes=FALSE)
rngs <- apply(exprs(eset)[m,c("SAMP_1","SAMP_2")], 2, function(x) range(pretty(range(x))))
expect_equal(ms_obj$.ylim, rngs, check.attributes=FALSE)
})
test_that("register works for OrganismDb object", {
skip_on_cran()
skip_if_not_installed("Mus.musculus")
require(Mus.musculus)
ms_obj <- epivizrData::register(Mus.musculus, keepSeqlevels=paste0("chr",c(1:19,"X","Y")))
expect_true(validObject(ms_obj))
expect_is(ms_obj, "EpivizGeneInfoData")
expect_is(ms_obj$.object, "GNCList")
expect_true(is.null(ms_obj$.columns))
})
test_that("register works for a TxDb object", {
skip_on_cran()
skip_if_not_installed("TxDb.Mmusculus.UCSC.mm10.knownGene")
require(TxDb.Mmusculus.UCSC.mm10.knownGene)
ms_obj <- epivizrData::register(TxDb.Mmusculus.UCSC.mm10.knownGene,
keepSeqlevels = paste0("chr", c(1:19, "X", "Y")))
expect_true(validObject(ms_obj))
expect_is(ms_obj, "EpivizGeneInfoData")
expect_is(ms_obj$.object, "GNCList")
expect_true(is.null(ms_obj$.columns))
})
test_that("register works for an EnsDb object", {
skip_on_cran()
skip_if_not_installed("EnsDb.Mmusculus.v79")
require(EnsDb.Mmusculus.v79)
ms_obj <- epivizrData::register(EnsDb.Mmusculus.v79,
keepSeqlevels = c(as.character(1:19), "X", "Y"))
expect_true(validObject(ms_obj))
expect_is(ms_obj$.object, "GNCList")
expect_true(is.null(ms_obj$.columns))
})
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