context("Process Study Meta-Data")
assays <- c(
"elisa", "elispot", "fcs", "gene_expression",
"hai", "mbaa", "neut_ab_titer", "pcr"
)
sdyMetaData <- readRDS("datasets/2019-12-09_sdyMetaData.rds")
test_that("ensureAllIntegerValues", {
tmp <- c(".00", ">30", "20", "8.00")
newMinAge <- ImmuneSpaceAPI:::ensureAllIntegerValues(tmp)
expect_true(all(is.double(newMinAge)))
expect_true(all.equal(newMinAge, c(0, 30, 20, 8)))
})
test_that("addConditionData", {
conditions <- c(
"Dengue", "Dermatomyositis", "Ebola", "Healthy", "Hepatitis",
"HIV", "Influenza", "Malaria", "Meningitis", "Smallpox", "Tuberculosis",
"Unknown", "Varicella_Zoster", "West_Nile", "Yellow_Fever", "Zika", "CMV"
)
res <- ImmuneSpaceAPI:::addConditionData(sdyMetaData)
expect_true(all(conditions %in% colnames(res)))
res <- res[, colnames(res) %in% conditions]
expect_true(sum(res$Influenza) == 38)
expect_equivalent(range(res), c(0, 1))
})
test_that("addAssayData", {
res <- ImmuneSpaceAPI:::addAssayData(sdyMetaData, assays)
expectedColnames <- paste0("has_", assays)
expect_true(all(expectedColnames %in% colnames(res)))
res <- res[, colnames(res) %in% expectedColnames]
expect_true(sum(res$has_hai) == 41)
expect_equivalent(range(res), c(0, 1))
})
test_that("calculateDistanceMatrix", {
sdyMetaData$newMinAge <- ImmuneSpaceAPI:::ensureAllIntegerValues(sdyMetaData$minimum_age)
euclideanCols <- c("actual_enrollment", "newMinAge")
categoricalCols <- c("elisa_0_Days", "gene_expression_files_0_Days")
res <- sdyMetaData[, colnames(sdyMetaData) %in% c(euclideanCols, categoricalCols)]
distMx <- ImmuneSpaceAPI:::calculateDistanceMatrix(res)
expect_equivalent(dim(distMx), c(nrow(res), nrow(res)))
expect_equivalent(colnames(distMx), rownames(res))
expect_equivalent(rownames(distMx), rownames(res))
expect_equivalent(range(distMx), c(0, 0.5811834))
})
test_that("calculateDistanceMatrix", {
studyAccessions <- rownames(sdyMetaData)
res <- ImmuneSpaceAPI:::prepareSdyMetaDataForService(
sdyMetaData,
assays,
studyAccessions
)
assaysGrep <- paste(paste0("^", assays), collapse = "|")
remainingAssayCols <- grep(assaysGrep, colnames(res), value = TRUE)
expect_true(length(remainingAssayCols) == 0)
expect_true("study" %in% colnames(res))
})
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