Nothing
data("mouseData")
test_that("normalize data methods", {
proportionMR <- normalizeData(mouseData, norm_method = "Proportion")
expect_equal(sum(normFactors(proportionMR)),315593)
cssMR <- normalizeData(mouseData, norm_method = "CSS")
expect_equal(sum(normFactors(cssMR)),33914)
})
test_that("filter and normalize", {
initialNormFactors <- normFactors(mouseData)
filteredMR <- filterMEData(mouseData, minpresence = 2, minfeats = 10, minreads = 1500)
filteredNormFactors <- normFactors(normalizeData(filteredMR, norm_method = "CSS"))
expect_failure(expect_equal(filteredNormFactors, normFactors(filteredMR)))
expect_equal(sum(filteredNormFactors),26488)
filteredNormFactors <- normFactors(normalizeData(filteredMR, norm_method = "Proportion"))
expect_failure(expect_equal(sum(filteredNormFactors),33914))
})
test_that("aggregate features", {
genusMD <- aggFeatures(mouseData, level = "genus")
expect_equal(ncol(genusMD), ncol(mouseData))
expect_failure(expect_equal(nrow(genusMD),nrow(mouseData)))
expect_equal(as.numeric(nrow(genusMD)), 61)
})
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