test_that("summarizeFeatures() uses different methods for summarization", {
df <- tibble(
run = c("a", "a", "a", "b", "b"),
feature = c("F1", "F2", "F3", "F1", "F3"),
log2inty = c(1, 2, 3, NA, 3)
)
res_max <- tibble(run = c("a", "b"), log2inty = c(3, 3))
res_mean <- tibble(run = c("a", "b"), log2inty = c(2, 3))
res_median <- tibble(run = c("a", "b"), log2inty = c(2, 3))
res_logsum <- tibble(run = c("a", "b"), log2inty = c(log2(sum(2 ^ c(1, 2, 3))), 3))
expect_equal(summarizeFeatures(df, method = "max"), res_max)
expect_equal(summarizeFeatures(df, method = "mean"), res_mean)
expect_equal(summarizeFeatures(df, method = "median"), res_median)
expect_equal(summarizeFeatures(df, method = "logsum"), res_logsum)
})
test_that("PTMsummarize() takes and returns the right format", {
s <- PTMsimulateExperiment(
nGroup=2, nRep=2, nProtein=1, nSite=2, nFeature=5,
logAbundance=list(
PTM=list(mu=25, delta=c(0, 1), sRep=0.2, sPeak=0.05),
PROTEIN=list(mu=25, delta=c(0, 1), sRep=0.2, sPeak=0.05)
)
)
ns <- PTMnormalize(s)
expect_error(PTMnormalize(ns[["PTM"]]), "PTM peak list is missing!")
expect_output(str(PTMnormalize(ns)), "List of 2")
expect_identical(names(PTMnormalize(ns)), c("PTM", "PROTEIN"))
ns[["PROTEIN"]] <- NULL
expect_output(str(PTMnormalize(ns)), "List of 1")
expect_identical(names(PTMnormalize(ns)), "PTM")
})
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