context("OnDiskMSnExp class, other methods")
inMem <- microtofq_in_mem_ms1
onDisk <- microtofq_on_disk_ms1
centroided(inMem) <- TRUE
centroided(onDisk) <- TRUE
inmem2 <- tmt_im_ms2_sub
inmem1 <- tmt_im_ms1_sub
ondisk <- tmt_od_sub
ondisk1 <- tmt_od_ms1_sub
ondisk2 <- tmt_od_ms2_sub
############################################################
## trimMz
test_that("OnDiskMSnExp filter/trimMz", {
inMem <- inmem1
onDisk <- ondisk1
inMemMz <- filterMz(inMem, mzlim = c(500, 550))
onDiskMz <- filterMz(onDisk, mzlim = c(500, 550))
expect_true(all.equal(inMemMz, onDiskMz))
})
############################################################
## normalize
test_that("Compare OnDiskMSnExp and MSnExp normalize", {
## Compare timings and results for normalize.
inMemN <- normalize(inMem)
onDiskN <- normalize(onDisk)
## Get and compare spectra.
expect_true(all.equal(inMemN, onDiskN))
## Compare intensity values.
expect_identical(intensity(inMemN), intensity(onDiskN))
## Compare sub-setted result.
inMemNSub <- inMemN[1:20]
onDiskNSub <- onDiskN[1:20]
expect_true(all.equal(inMemNSub, onDiskNSub))
})
############################################################
## smooth
test_that("Compare OnDiskMSnExp and MSnExp smooth", {
## The same for MSn data
ondisk <- smooth(ondisk)
expect_warning(inmem1 <- smooth(inmem1))
expect_warning(inmem2 <- smooth(inmem2, verbose = FALSE))
expect_warning(expect_true(all.equal(filterMsLevel(ondisk, msLevel. = 1),
inmem1)))
expect_warning(expect_true(all.equal(filterMsLevel(ondisk, msLevel. = 2),
inmem2)))
})
############################################################
## compareSpectra
test_that("Compare OnDiskMSnExp and MSnExp compareSpectra", {
## compare on subsets.
csp <- compareSpectra(inmem1)
csp2 <- compareSpectra(ondisk1)
rownames(csp) <- colnames(csp) <- NULL
rownames(csp2) <- colnames(csp2) <- NULL
expect_identical(csp, csp2)
})
############################################################
## pickPeaks
test_that("Compare OnDiskMSnExp and MSnExp pickPeaks", {
## Setting centroided FALSE to avoid warnings...
centroided(inmem1) <- FALSE
pp <- pickPeaks(inmem1)
centroided(ondisk1) <- FALSE
pp2 <- pickPeaks(ondisk1)
expect_true(all.equal(pp, pp2))
pc <- peaksCount(pp)
pc2 <- peaksCount(pp2)
names(pc) <- NULL
names(pc2) <- NULL
expect_identical(pc, pc2)
centroided(ondisk) <- FALSE
res <- pickPeaks(ondisk, msLevel = 1L)
expect_identical(peaksCount(filterMsLevel(res, 2)),
peaksCount(filterMsLevel(ondisk, 2)))
expect_identical(peaksCount(pp2), peaksCount(filterMsLevel(res, 1)))
expect_identical(peaksCount(ondisk),
peaksCount(pickPeaks(ondisk, msLevel = 3)))
})
############################################################
## estimateNoise
test_that("Compare OnDiskMSnExp and MSnExp estimateNoise", {
centroided(inmem1) <- FALSE
en <- estimateNoise(inmem1)
centroided(ondisk1) <- FALSE
en2 <- estimateNoise(ondisk1)
names(en) <- NULL
names(en2) <- NULL
expect_identical(en, en2)
## Same with method = SuperSmoother
centroided(inmem1) <- FALSE
en <- estimateNoise(inmem1, method = "SuperSmoother")
centroided(ondisk1) <- FALSE
en2 <- estimateNoise(ondisk1, method = "SuperSmoother")
names(en) <- NULL
names(en2) <- NULL
expect_identical(en, en2)
})
############################################################
## extractPrecSpectra
test_that("Compare OnDiskMSnExp and MSnExp extractPrecSpectra", {
set.seed(432)
precMzs <- precursorMz(inmem2)
exP <- sample(1:length(precMzs), 20)
extsp <- extractPrecSpectra(inmem2, prec = precMzs[exP])
extsp2 <- extractPrecSpectra(ondisk2, prec = precMzs[exP])
expect_true(all.equal(extsp, extsp2))
## Now with a multi-MS-level object.
extsp3 <- extractPrecSpectra(ondisk, prec = precMzs[exP])
expect_true(all.equal(extsp2, extsp3))
## Check that the precursorMz matches:
expect_identical(unname(precMzs[sort(exP)]),
unname(precursorMz(extsp2)))
})
############################################################
## isCentroided
test_that("isCentroided on OnDiskMSnExp", {
expect_true(all(isCentroided(onDisk, verbose = FALSE)))
expect_true(all(isCentroided(ondisk2, verbose = FALSE)))
})
############################################################
## Test precursor* methods
test_that("Test precursor* for OnDiskMSnExp", {
## o precursorMz
pmz <- precursorMz(ondisk)
pmz2 <- precursorMz(ondisk2)
expect_true(all(is.na(pmz[msLevel(ondisk) == 1])))
expect_identical(pmz2, pmz[names(pmz2)])
## Finally compare to inmem.
pmz <- precursorMz(inmem2)
names(pmz) <- names(pmz2) <- NULL
expect_identical(pmz, pmz2)
## o precursorCharge
pch <- precursorCharge(ondisk)
pch2 <- precursorCharge(ondisk2)
expect_true(all(is.na(pch[msLevel(ondisk) == 1])))
expect_identical(pch2, pch[names(pch2)])
## Finally compare to inmem.
pch <- precursorCharge(inmem2)
names(pch) <- names(pch2) <- NULL
expect_identical(pch, pch2)
## o precursorIntensity
pint <- precursorIntensity(ondisk)
pint2 <- precursorIntensity(ondisk2)
expect_true(all(is.na(pint[msLevel(ondisk) == 1])))
expect_identical(pint2, pint[names(pint2)])
## Finally compare to inmem.
pint <- precursorIntensity(inmem2)
names(pint) <- names(pint2) <- NULL
expect_identical(pint, pint2)
## o precScanNum
pcn <- precScanNum(ondisk)
pcn2 <- precScanNum(ondisk2)
expect_true(all(is.na(pcn[msLevel(ondisk) == 1])))
expect_identical(pcn2, pcn[names(pcn2)])
## Finally compare to inmem.
pcn <- precScanNum(inmem2)
names(pcn) <- names(pcn2) <- NULL
expect_identical(pcn, pcn2)
})
############################################################
## bpi
test_that("bpi,OnDiskMSnExp works", {
## Get the "initial" one.
basepi <- bpi(ondisk)
expect_identical(unname(basepi), fData(ondisk)$basePeakIntensity)
expect_identical(names(basepi), featureNames(ondisk))
## Calculate:
basepi <- bpi(ondisk, initial = FALSE)
expect_identical(names(basepi), featureNames(ondisk))
sp <- spectra(ondisk)
basepi_calc <- unlist(lapply(sp, FUN = function(z) max(intensity(z))))
expect_identical(basepi, basepi_calc)
})
############################################################
## tic
test_that("tic,OnDiskMSnExp", {
## Get the "initial" one.
totic <- tic(ondisk)
expect_identical(unname(totic), fData(ondisk)$totIonCurrent)
expect_identical(names(totic), featureNames(ondisk))
## Calculate:
totic <- tic(ondisk, initial = FALSE)
expect_identical(names(totic), featureNames(ondisk))
sp <- spectra(ondisk)
totic_calc <- unlist(spectrapply(ondisk, function(z) sum(z@intensity)))
expect_identical(totic, totic_calc)
})
test_that("pickPeaks,OnDiskMSnExp works with refineMz", {
## Get one spectrum from the tmt
spctr <- tmt_erwinia_in_mem_ms1[[1]]
centroided(spctr) <- FALSE
tmt_pk <- pickPeaks(tmt_erwinia_on_disk_ms1, refineMz = "kNeighbors",
k = 1)
spctr_pk <- pickPeaks(spctr, refineMz = "kNeighbors", k = 1)
spctr_tmt_pk <- tmt_pk[[1]]
expect_equal(spctr_pk, spctr_tmt_pk)
spctr_pk <- pickPeaks(spctr, refineMz = "descendPeak",
signalPercentage = 75)
tmt_pk <- pickPeaks(tmt_erwinia_on_disk_ms1, refineMz = "descendPeak",
signalPercentage = 75)
expect_equal(spctr_pk, tmt_pk[[1]])
## Check if we can call method and refineMz and pass arguments to both
spctr_pk <- pickPeaks(spctr, refineMz = "kNeighbors", k = 1,
method = "SuperSmoother", span = 0.9)
tmt_pk <- pickPeaks(tmt_erwinia_on_disk_ms1, refineMz = "kNeighbors",
k = 1, method = "SuperSmoother", span = 0.9)
expect_equal(spctr_pk, tmt_pk[[1]])
## Check errors
expect_error(pickPeaks(tmt_erwinia_on_disk_ms1, refineMz = "some_method"))
})
test_that("smooth,OnDiskMSnExp works with msLevel", {
res <- smooth(tmt_od_ms1_sub, msLevel = 2)
expect_identical(intensity(res), intensity(tmt_od_ms1_sub))
res <- smooth(tmt_od_ms1_sub, msLevel = 1:3)
expect_false(all(unlist(intensity(res)) ==
unlist(intensity(tmt_od_ms1_sub))))
})
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