test_that("do_groupChromPeaks_density works", {
fts <- peaks(faahko)
grps <- sampclass(faahko)
res <- do_groupChromPeaks_density(fts, sampleGroups = grps)
res_2 <- do_groupChromPeaks_density(fts, sampleGroups = grps,
minFraction = 0.9)
expect_true(nrow(res) > nrow(res_2))
})
test_that("do_groupPeaks_mzClust works", {
fts <- peaks(fticr_xs)
res <- do_groupPeaks_mzClust(peaks = fts,
sampleGroups = sampclass(fticr_xs))
res_2 <- do_groupPeaks_mzClust(peaks = fts,
sampleGroups = sampclass(fticr_xs),
minFraction = 0, absMz = 2)
expect_true(nrow(res$featureDefinitions) > nrow(res_2$featureDefinitions))
res_x <- group(fticr_xs, method = "mzClust")
expect_equal(res_x@groups, res$featureDefinitions)
expect_equal(res_x@groupidx, res$peakIndex)
## Issue 416
nas <- sample(1:nrow(fts), 10)
fts[nas, "mz"] <- NA
expect_warning(res <- .fix_mz_clust_peaks(fts), "Replaced them with the")
expect_false(any(is.na(res[, "mz"])))
fts <- fts[, !(colnames(fts) %in% c("mzmin", "mzmax"))]
expect_error(res <- .fix_mz_clust_peaks(fts), "peaks with missing")
})
test_that("do_groupChromPeaks_nearest works", {
xs <- faahko_xs
features <- peaks(xs)
sampleGroups <- sampclass(xs)
mzVsRtBalance <- 10
mzCheck <- 0.2
rtCheck <- 15
kNN <- 10
res <- do_groupChromPeaks_nearest(features, sampleGroups)
res_2 <- do_groupChromPeaks_nearest(features, sampleGroups, absRt = 3)
expect_true(nrow(res$featureDefinitions) < nrow(res_2$featureDefinitions))
res_x <- group(xs, method = "nearest")
expect_equal(res_x@groups, res$featureDefinitions)
})
test_that(".group_peaks_density works", {
x <- rbind(c(rt = 3.1, mz = 3, index = 1, sample = 1, into = 120),
c(rt = 3.2, mz = 3, index = 2, sample = 2, into = 130),
c(rt = 3.15, mz = 3, index = 3, sample = 3, into = 29),
c(rt = 5, mz = 3, index = 4, sample = 4, into = 32),
c(rt = 3, mz = 3, index = 5, sample = 5, into = 43),
c(rt = 6, mz = 3, index = 6, sample = 6, into = 35))
densFrom <- 1
densTo <- 100
densN <- 100
sampleGroups <- c("b", "a", "b", "a", "b", "a")
sampleGroupTable <- table(sampleGroups)
bw <- 2
maxFeatures <- 20
minFraction <- 0.8
minSamples <- 1
res <- .group_peaks_density(x, bw = bw, densFrom = densFrom,
densTo = densTo, densN = densN,
sampleGroups = sampleGroups,
sampleGroupTable = sampleGroupTable,
minFraction = minFraction,
minSamples = minSamples,
maxFeatures = maxFeatures, sleep = 0)
expect_true(nrow(res) == 1)
expect_equal(res$peakidx, list(1:6))
res <- .group_peaks_density(x, bw = bw, densFrom = densFrom,
densTo = densTo, densN = densN,
sampleGroups = sampleGroups,
sampleGroupTable = sampleGroupTable,
minFraction = minFraction,
minSamples = 7,
maxFeatures = maxFeatures, sleep = 0)
expect_true(nrow(res) == 0)
expect_true(is(res, "data.frame"))
})
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