library(testthat)
library(SomaticCancerAlterations)
context("Accessor functions")
test_that("'scaListDatasets' works", {
expect_is( class(scaListDatasets()), "character" )
expect_error( scaListDatasets(1) )
})
test_that("'scaLoadDatasets' works", {
all_datasets = scaListDatasets()
ds = sample(all_datasets, 1)
ds2 = sample(all_datasets, 2)
expect_is( scaLoadDatasets(ds), "GRangesList" )
expect_is( scaLoadDatasets(ds, merge = FALSE), "GRangesList" )
expect_is( scaLoadDatasets(ds, merge = TRUE), "GRanges" )
expect_is( scaLoadDatasets(ds2), "GRangesList" )
expect_is( scaLoadDatasets(ds2, merge = FALSE), "GRangesList" )
expect_is( scaLoadDatasets(ds2, merge = TRUE), "GRanges" )
expect_identical( length(scaLoadDatasets()), length(all_datasets) )
expect_error( scaLoadDatasets("not_present") )
expect_error( scaLoadDatasets(c(all_datasets, "not_present")) )
x = scaLoadDatasets(all_datasets[1:2], merge = FALSE)
expect_identical( names(x), all_datasets[1:2] )
for(ds in all_datasets) {
x = scaLoadDatasets(ds, merge = TRUE)
expect_true( length(x) > 0 )
expect_is( x$Sample_ID, "factor" )
expect_is( x$Patient_ID, "factor" )
}
})
test_that("'scaMetadata' works", {
expect_is( scaMetadata(), "data.frame" )
expect_error( scaMetadata(1) )
expect_equal( sort(scaListDatasets()), sort(rownames(scaMetadata())) )
})
test_that("'mutationDensity' works", {
ds = sample(scaListDatasets(), 1)
x = scaLoadDatasets(ds, merge = TRUE)
expect_is( mutationDensity(x, 1e8), "GRanges" )
expect_is( mutationDensity(x, binSize = 1e8), "GRanges" )
})
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