tests/testthat/test_peaks-functions.R

In rformassspectrometry/Spectra: Spectra Infrastructure for Mass Spectrometry Data

test_that(".peaks_replace_intensity works", {
    int <- c(0, 1, 2, 3, 1, 0, 0, 0, 0, 1, 3, 10, 6, 2, 1, 0, 1, 2, 0,
             0, 1, 5, 10, 5, 1)
    x <- cbind(mz = 1:length(int), intensity = int)
    res <- .peaks_replace_intensity(x, 1L, centroided = FALSE)
    expect_equal(res, x)
    res <- .peaks_replace_intensity(x, 1L, centroided = FALSE, threshold = 3)
    int_exp <- c(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 3, 10, 6, 2, 1, 0, 0, 0, 0, 0,
                 1, 5, 10, 5, 1)
    expect_equal(res[, "intensity"], int_exp)
    expect_warning(res <- .peaks_replace_intensity(x, 1L, threshold = max, value = 3))
    expect_equal(res, x)
    res <- .peaks_replace_intensity(x, 1L, threshold = max,
                                    value = 3, centroided = TRUE)
    expect_true(all(res[, "intensity"] == 3))

    res <- .peaks_replace_intensity(x, 1L, function(z, ...) min(z[z > 0]),
                                    centroided = TRUE)
    int_exp <- c(0, 0, 2, 3, 0, 0, 0, 0, 0, 0, 3, 10, 6, 2, 0, 0, 0, 2, 0, 0,
                 0, 5, 10, 5, 0)
    expect_equal(res[, "intensity"], int_exp)

    res <- .peaks_replace_intensity(x, 1L, centroided = TRUE, msLevel = 2L)
    expect_equal(res[, "intensity"], int)

    ## Working with NAs.
    x[4, 2] <- NA
    res <- .peaks_replace_intensity(x, 1L, centroided = TRUE, threshold = 4)
    expect_equal(res[, 2], c(0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 10, 6,
                             0, 0, 0, 0, 0, 0, 0, 0, 5, 10, 5, 0))
})

test_that(".peaks_filter_intensity works", {
    ints <- c(5, 3, 12, 14.4, 13.3, 9, 3, 0, NA, 21, 89, 55, 33, 5, 2)
    x <- cbind(mz = seq_along(ints), intensity = ints)
    res <- .peaks_filter_intensity(x, spectrumMsLevel = 1L)
    expect_equal(res[, 1], c(1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15))

    res <- .peaks_filter_intensity(x, spectrumMsLevel = 1L, msLevel = 2L)
    expect_equal(res, x)

    res <- .peaks_filter_intensity(x, spectrumMsLevel = 1L, intensity = c(5, 15))
    expect_equal(res[, 1], c(1, 3, 4, 5, 6, 14))
})

test_that(".peaks_filter_intensity_function works", {
    ints <- c(5, 3, 12, 14.4, 13.3, 9, 3, 0, NA, 21, 89, 55, 33, 5, 2)
    x <- cbind(mz = seq_along(ints), intensity = ints)
    res <- .peaks_filter_intensity_function(
        x, spectrumMsLevel = 1L, intfun = function(x) x > 0)
    expect_equal(res[, 1], c(1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15))

    res <- .peaks_filter_intensity_function(
        x, spectrumMsLevel = 1L,
        intfun = function(z) z > max(z, na.rm = TRUE) / 2)
    expect_true(all(res[, "intensity"] > 89/2))

    res <- .peaks_filter_intensity_function(x, spectrumMsLevel = 1L,
                                            msLevel = 2L)
    expect_equal(res, x)

    expect_error(.peaks_filter_intensity_function(
        x, spectrumMsLevel = 1L, function(x) FALSE),
        "does not return a")
    expect_error(.peaks_filter_intensity_function(
        x, spectrumMsLevel = 1L, function(x) which(is.na(x))),
        "does not return a")
})

test_that(".peaks_bin works", {
    int <- c(0, 1, 2, 3, 1, 0, 0, 0, 0, 1, 3, 10, 6, 2, 1, 0, 1, 2, 0,
             0, 1, 5, 10, 5, 1)
    x <- cbind(mz = 1:length(int), intensity = int)

    brks <- seq(min(x), max(x), by = 1L)
    brks <- MsCoreUtils:::.fix_breaks(brks, range(x))
    mids <- seq_len(length(brks) -1)
    res <- .peaks_bin(x, spectrumMsLevel = 1L, breaks = brks, mids = mids,
                      zero.rm = FALSE)
    expect_identical(res[-1, 2], x[, 2])
    expect_identical(res[, 1], as.numeric(mids))

    brks <- seq(min(x), max(x), by = 2L)
    brks <- MsCoreUtils:::.fix_breaks(brks, range(x))
    mids <- (brks[-length(brks)] + brks[-1L]) / 2
    res <- .peaks_bin(x, spectrumMsLevel = 1L, breaks = brks,
                                mids = mids, zero.rm = FALSE)
    expect_equal(res[, 1], seq(1, 25, by = 2))
    expect_equal(res[, 2], c(0, 3, 4, 0, 0, 4, 16, 3, 1, 2, 1, 15, 6))
    res <- .peaks_bin(x, spectrumMsLevel = 1L, breaks = brks,
                      agg_fun = max, mids = mids, zero.rm = FALSE)
    expect_equal(res[, 1], seq(1, 25, by = 2))
    expect_equal(res[, 2], c(0, 2, 3, 0, 0, 3, 10, 2, 1, 2, 1, 10, 5))
    res <- .peaks_bin(x, spectrumMsLevel = 1L, msLevel = 2L, binSize = 2L,
                      zero.rm = FALSE)
    expect_identical(res, x)

    brks <- seq(0.5, 30.5, by = 2)
    mids <- seq((length(brks) - 1))
    res <- Spectra:::.peaks_bin(x, breaks = brks, mids = mids,
                                spectrumMsLevel = 1L, zero.rm = FALSE)
    expect_equal(res[, 1], mids)
    expect_equal(res[, 2], c(1, 5, 1, 0, 1, 13, 8, 1, 3, 0, 6, 15, 1, 0, 0))

    breaks <- seq(0, 1000, by = 0.01)
    mids <- (breaks[-length(breaks)] + breaks[-1L]) / 2
    res_true <- Spectra:::.peaks_bin(sciex_pks[[1]], breaks = breaks, mids = mids,
                                spectrumMsLevel = 1L, zero.rm =  TRUE)
    res_false <- Spectra:::.peaks_bin(sciex_pks[[1]], breaks = breaks, mids = mids,
                                      spectrumMsLevel = 1L, zero.rm =  FALSE)
    expect_true(all(res_true[,"intensity"] != 0))
    expect_false(all(res_false[,"intensity"] != 0))
    expect_false(length(res_true) == length(res_false))

})

test_that("joinPeaksNone works", {
    x <- cbind(c(31.34, 50.14, 60.3, 120.9, 230, 514.13, 874.1),
               1:7)
    y <- cbind(c(12, 31.35, 70.3, 120.9 + ppm(120.9, 5),
                 230 + ppm(230, 10), 315, 514.14, 901, 1202),
               1:9)
    res <- joinPeaksNone(x, y, ppm = 20)
    expect_equal(res, list(x = x, y = y))
})

test_that("joinPeaks works", {
    x <- cbind(c(31.34, 50.14, 60.3, 120.9, 230, 514.13, 874.1),
               1:7)
    y <- cbind(c(12, 31.35, 70.3, 120.9 + ppm(120.9, 5),
                 230 + ppm(230, 10), 315, 514.14, 901, 1202),
               1:9)

    res <- joinPeaks(x, y, ppm = 0)
    expect_true(nrow(res$x) == nrow(res$y))
    expect_true(nrow(res$x) == nrow(x) + nrow(y))
    res <- joinPeaks(x, y, ppm = 0, type = "inner")
    expect_true(nrow(res$x) == nrow(res$y))
    expect_true(nrow(res$x) == 0)

    ## ppm 5
    res <- joinPeaks(x, y, ppm = 5)
    expect_true(nrow(res$x) == nrow(res$y))
    expect_true(nrow(res$x) == nrow(x) + nrow(y) - 1)
    expect_true(!is.na(res$x[7, 1]))
    expect_true(!is.na(res$y[7, 1]))
    res <- joinPeaks(x, y, ppm = 5, type = "inner")
    expect_true(nrow(res$x) == nrow(res$y))

    ## ppm 10
    res <- joinPeaks(x, y, ppm = 10)
    expect_true(nrow(res$x) == nrow(res$y))
    expect_true(nrow(res$x) == nrow(x) + nrow(y) - 2)
    res <- joinPeaks(x, y, ppm = 10, type = "inner")
    expect_true(nrow(res$x) == nrow(res$y))
    expect_true(nrow(res$x) == 2)

    ## tolerance 0.01
    res <- joinPeaks(x, y, tolerance = 0.01)
    expect_true(nrow(res$x) == nrow(res$y))
    expect_true(nrow(res$x) == nrow(x) + nrow(y) - 4)
    res <- joinPeaks(x, y, tolerance = 0.01, type = "left")
    expect_true(nrow(res$x) == nrow(res$y))
    expect_equal(res$x, x)
    res <- joinPeaks(x, y, tolerance = 0.01, type = "right")
    expect_true(nrow(res$x) == nrow(res$y))
    expect_equal(res$y, y)
})

test_that(".peaks_pick works", {
    e <- matrix(NA_real_, nrow = 0, ncol = 2,
                dimnames = list(c(), c("mz", "intensity")))
    expect_warning(.peaks_pick(e, spectrumMsLevel = 1), "empty")
    expect_equal(suppressWarnings(.peaks_pick(e, spectrumMsLevel = 1)), e)

    int <- c(0, 1, 2, 3, 1, 0, 0, 0, 0, 1, 3, 10, 6, 2, 1, 0, 1, 2, 0,
             0, 1, 5, 10, 5, 1)
    x <- cbind(mz = seq_along(int), intensity = int)
    expect_equal(.peaks_pick(x, spectrumMsLevel = 2, msLevel = 1), x)
    expect_equal(.peaks_pick(x, spectrumMsLevel = 1, halfWindowSize = 2,
                             snr = 1),
                 cbind(mz = c(4, 12, 18, 23), intensity = c(3, 10, 2, 10)))
    expect_equal(.peaks_pick(x, spectrumMsLevel = 1, halfWindowSize = 2,
                             snr = 5),
                 cbind(mz = c(12, 23), intensity = c(10, 10)))
    expect_equal(.peaks_pick(x, spectrumMsLevel = 1, halfWindowSize = 2,
                             snr = 10), e)
    expect_equal(.peaks_pick(x, spectrumMsLevel = 1, halfWindowSize = 10,
                             snr = 1),
                 cbind(mz = c(12, 23), intensity = c(10, 10)))
    expect_equal(.peaks_pick(x, spectrumMsLevel = 1, halfWindowSize = 2,
                             method = "SuperSmoother", snr = 2),
                 cbind(mz = c(4, 12, 23), intensity = c(3, 10, 10)))

    ## use refineCentroids
    expect_equal(.peaks_pick(x, spectrumMsLevel = 1, halfWindowSize = 2,
                             method = "MAD", snr = 2, k = 1L, ),
                 cbind(mz = mapply(weighted.mean,
                                   x = list(3:5, 11:13, 22:24),
                                   w = list(int[3:5], int[11:13], int[22:24])),
                       intensity = c(3, 10, 10)))
})

test_that(".peaks_smooth works", {
    e <- matrix(NA_real_, nrow = 0, ncol = 2,
                dimnames = list(c(), c("mz", "intensity")))
    expect_warning(.peaks_smooth(e, spectrumMsLevel = 1), "empty")
    expect_equal(suppressWarnings(.peaks_smooth(e, spectrumMsLevel = 1)), e)

    cf <- matrix(0.2, nrow = 5, ncol = 5)
    int <- 1:10
    x <- cbind(mz = seq_along(int), intensity = int)
    expect_equal(.peaks_smooth(x, spectrumMsLevel = 1, coef = cf),
                 cbind(mz = x[, 1L], intensity = rep(3:8, c(3, 1, 1, 1, 1, 3))))
})

test_that(".peaks_filter_mz_range works", {
    p <- cbind(mz = c(2, 5.6, 123.2, 422.8, 599.3, 599.4, 599.5, 743.1),
               intensity = 1:8)
    expect_warning(res <- .peaks_filter_mz_range(
                       p, 1L, mz = range(numeric())), "Inf")
    expect_equal(res, p)

    res <- .peaks_filter_mz_range(p, 1L, msLevel = 2)
    expect_equal(res, p)

    res <- .peaks_filter_mz_range(p, 1L, mz = c(200, 600))
    expect_equal(res[, "intensity"], c(4, 5, 6, 7))
})

test_that(".peaks_match_mz_value works", {
    p <- cbind(mz = c(2, 5.6, 123.2, 422.8, 599.3, 599.4, 599.5, 743.1),
               intensity = 1:8)
    res <- .peaks_filter_mz_value(p, 1L, mz = numeric())
    expect_true(is.matrix(res))
    expect_true(nrow(res) == 0)
    expect_equal(colnames(res), c("mz", "intensity"))
    res <- .peaks_filter_mz_value(p, 1L, mz = NA)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), c("mz", "intensity"))
    expect_true(nrow(res) == 0)

    res <- .peaks_filter_mz_value(p, 1L, mz = 5, tolerance = 1)
    expect_equal(unname(res[, "intensity"]), 2)
    res <- .peaks_filter_mz_value(p, 1L, mz = c(5.5, 599.41), tolerance = 0.1)
    expect_equal(unname(res[, "intensity"]), c(2, 5, 6, 7))

    res <- .peaks_filter_mz_value(p, 1L, mz = c(123, 742.2),
                                  tolerance = c(0.2, 1))
    expect_equal(unname(res[, "intensity"]), c(3, 8))

    ## remove
    res <- .peaks_filter_mz_value(p, 1L, mz = 5, tolerance = 1,
                                  keep = FALSE)
    expect_equal(res, p[-2, ])
    res <- .peaks_filter_mz_value(p, 1L, mz = c(5, 6, 20),
                                  tolerance = 0, keep = FALSE)
    expect_equal(res, p)
    res <- .peaks_filter_mz_value(p, 1L, mz = c(123, 742.2),
                                  tolerance = c(0.2, 1),
                                  keep = FALSE)
    expect_equal(res, p[-c(3, 8), ])
})

test_that("joinPeaksGnps works", {
    a <- cbind(mz = c(10, 36, 63, 91, 93),
               intensity = c(14, 15, 999, 650, 1))
    a_pmz <- 91

    b <- cbind(mz = c(10, 12, 50, 63, 105),
               intensity = c(35, 5, 16, 999, 450))
    b_pmz <- 105

    expect_equal(joinPeaksGnps(a, b), joinPeaks(a, b))
    expect_equal(joinPeaksGnps(a, b, xPrecursorMz = 91),
                 joinPeaks(a, b))
    expect_equal(joinPeaksGnps(a, b, xPrecursorMz = 3, yPrecursorMz = 3),
                 joinPeaks(a, b))

    res <- joinPeaksGnps(a, b, xPrecursorMz = a_pmz, yPrecursorMz = b_pmz,
                         type = "left")
    expect_true(nrow(res$x) > nrow(a))  # peaks can match multiple
    ## peak 36 matches no peak in b directly, but matches peak 50 in b
    ## considering the precursor difference
    expect_true(sum(res$x[, 1] == 36) == 2)

    res_2 <- joinPeaksGnps(b, a, xPrecursorMz = b_pmz, yPrecursorMz = a_pmz,
                           type = "left")
    expect_equal(res_2$x[, 1], c(10, 12, 50, 50, 63, 105, 105))

    ## example with multi matches.
    a <- cbind(mz = c(10, 26, 36, 63, 91, 93),
               intensity = c(14, 10, 15, 999, 650, 1))
    a_pmz <- 91

    b <- cbind(mz = c(10, 12, 24, 50, 63, 105),
               intensity = c(35, 10, 5, 16, 999, 450))
    b_pmz <- 105

    res <- joinPeaksGnps(a, b, xPrecursorMz = a_pmz, yPrecursorMz = b_pmz,
                         type = "left")
    expect_equal(res$x[, 1], c(10, 10, 26, 36, 36, 63, 91, 91, 93))
    expect_equal(res$y[, 1], c(10, 24, NA, NA, 50, 63, NA, 105, NA))

    ## Example with peaks from a matching multiple peaks in b and vice versa
    a <- cbind(mz = c(10, 12, 14, 16, 19),
               intensity = 1:5)
    a_pmz <- 4
    b <- cbind(mz = c(10, 14, 16, 17, 19, 22),
               intensity = 1:6)
    b_pmz <- 8

    exp_a <- c(10, 10, 12, 12, 14, 16, 19, NA, NA)
    exp_b <- c(10, 14, NA, 16, 14, 16, 19, 17, 22)

    res <- joinPeaksGnps(a, b, a_pmz, b_pmz, type = "outer")
    expect_equal(res$x[, 1], exp_a)
    expect_equal(res$y[, 1], exp_b)
})

test_that(".peaks_remove_fft_artifact works", {
    data(fft_spectrum)
    pks <- peaksData(fft_spectrum)[[1L]]
    res <- .peaks_remove_fft_artifact(pks)
    expect_true(nrow(pks) > nrow(res))
})

test_that(".peaks_deisotope works", {
    x <- cbind(mz = c(12.2, 14), intensity = c(11, 23))
    res <- .peaks_deisotope(x)
    expect_equal(x, res)

    x <- cbind(mz = c(45, 68, 69, 70), intensity = c(20, 100, 3, 0.23))
    res <- .peaks_deisotope(x, tolerance = 0.1)
    expect_equal(res, x[1:2, ])

    ## SWATH spectrum.
    a <- filterMsLevel(sps_dia, 2L)[4L]
    res <- .peaks_deisotope(peaksData(a)[[1L]])
    expect_true(nrow(res) < lengths(a))
})

test_that(".peaks_reduce works", {
    x <- peaksData(sps_dia[2000])[[1L]]
    res <- .peaks_reduce(x, tolerance = 0.1)
    expect_true(is.matrix(res))
    expect_true(nrow(res) < nrow(x))
    expect_true(is.numeric(res))

    grp <- group(x[, "mz"], tolerance = 0.1, ppm = 10)
    xl <- split.data.frame(x, grp)
    ref <- lapply(xl, function(z) z[which.max(z[, 2]), , drop = FALSE])
    ref <- do.call(rbind, ref)
    expect_equal(ref, res)

    res <- .peaks_reduce(x, tolerance = 0, ppm = 0)
    expect_equal(res, x)

    x <- sciex_pks[[13]]
    res <- .peaks_reduce(x, tolerance = 0.1)
    expect_true(is.matrix(res))
    expect_true(nrow(res) < nrow(x))
    expect_true(is.numeric(res))

    grp <- group(x[, "mz"], tolerance = 0.1, ppm = 10)
    xl <- split.data.frame(x, grp)
    ref <- lapply(xl, function(z) z[which.max(z[, 2]), , drop = FALSE])
    ref <- do.call(rbind, ref)
    expect_equal(ref, res)
})

test_that(".peaks_scale_intensities works", {
    x <- cbind(mz = 1:3, intensity = c(20, 23, 14))
    res <- .peaks_scale_intensities(x, spectrumMsLevel = 1L, msLevel = 1L)
    expect_equal(res[, 2], x[, 2] / sum(x[, 2]))

    res <- .peaks_scale_intensities(x, by = max, spectrumMsLevel = 1L,
                                    msLevel = 1L)
    expect_equal(res[, 2], x[, 2] / max(x[, 2]))

    res <- .peaks_scale_intensities(x, by = sum, spectrumMsLevel = 1L,
                                    msLevel = 2L)
    expect_equal(res, x)
})

with_parameters_test_that(".peaks_combine works", {
    res <- .peaks_combine(x, msLevel = 2L, spectrumMsLevel = 2L)
    expect_equal(x, res)
    res <- .peaks_combine(x, msLevel = 1L, spectrumMsLevel = 2L,
                          tolerance = 0.2)
    expect_equal(x, res)
    expect_equal(class(x), class(res))

    res <- .peaks_combine(x, msLevel = 2L, spectrumMsLevel = 2L,
                          tolerance = 0.1)
    expect_equal(class(x), class(res))
    expect_equal(nrow(res), 4)
    expect_equal(res[1, ], x[1, ])
    expect_equal(unname(res[2, 1]),
                 weighted.mean(x[c(2, 3, 4), 1], x[c(2, 3, 4), 2] + 1))
    expect_equal(unname(res[2, 2]), mean(x[c(2, 3, 4), 2]))
    a <- res[3, , drop = FALSE]
    b <- x[5, , drop = FALSE]
    rownames(a) <- rownames(b) <- NULL
    expect_equal(a, b)
    expect_equal(unname(res[4, 1]),
                 weighted.mean(x[6:9, 1], x[6:9, 2] + 1))
    expect_equal(unname(res[4, 2]), mean(x[6:9, 2]))
    if (is.data.frame(x))
        expect_equal(res[, "pk_ann"], c("a", "b", "e", NA_character_))

    res <- .peaks_combine(x, msLevel = 2L, spectrumMsLevel = 2L,
                          tolerance = 0.1, weighted = FALSE,
                          intensityFun = max, mzFun = median)
    expect_equal(class(x), class(res))
    expect_equal(nrow(res), 4)
    expect_equal(res[1, ], x[1, ])
    expect_equal(unname(res[2, 1]), median(x[2:4, 1]))
    expect_equal(unname(res[2, 2]), max(x[2:4, 2]))
    a <- res[3, , drop = FALSE]
    b <- x[5, , drop = FALSE]
    rownames(a) <- rownames(b) <- NULL
    expect_equal(a, b)
    expect_equal(unname(res[4, 1]), median(x[6:9, 1]))
    expect_equal(unname(res[4, 2]), max(x[6:9, 2]))
    if (is.data.frame(x))
        expect_equal(res[, "pk_ann"], c("a", "b", "e", NA_character_))

},
cases(
    matrix = list(
        x = cbind(mz = c(100.1,
                         103.1, 103.2, 103.24,
                         302,
                         304.2, 304.25, 304.3, 304.35),
                  intensity = c(100,
                                300, 600, 100,
                                30,
                                45, 46, 0, 46))
    ),
    data.frame = list(
        x = data.frame(mz = c(100.1, 103.1, 103.2, 103.24, 302, 304.2,
                              304.25, 304.3, 304.35),
                       intensity = c(100, 300, 600, 100, 30, 45, 46, 0, 46),
                       pk_ann = c("a", "b", "b", "b", "e", "f", "g", "h", "i"))
    )
))

test_that(".peaks_filter_precursor_ne works", {
    x <- cbind(mz = c(13.4, 14.1, 14.2, 14.24, 17.3, 120.1),
               intensity = 1:6)
    res <- .peaks_filter_precursor_ne(x, spectrumMsLevel = 2L, msLevel = 1)
    expect_equal(res, x)
    res <- .peaks_filter_precursor_ne(x, spectrumMsLevel = 2L, msLevel = 2L,
                                      precursorMz = 200)
    expect_equal(res, x)
    res <- .peaks_filter_precursor_ne(x, spectrumMsLevel = 2L, msLevel = 2L,
                                      precursorMz = 14.2)
    expect_equal(res, x[-3, ])
    res <- .peaks_filter_precursor_ne(x, spectrumMsLevel = 2L, msLevel = 2L,
                                      precursorMz = 14.2, tolerance = 0.1)
    expect_equal(res, x[-c(2, 3, 4), ])
})

test_that(".peaks_filter_precursor_keep_below works", {
    x <- cbind(mz = c(13.4, 14.1, 14.2, 14.24, 17.3, 120.1),
               intensity = 1:6)
    res <- .peaks_filter_precursor_keep_below(
        x, spectrumMsLevel = 2L, msLevel = 1L)
    expect_equal(res, x)
    res <- .peaks_filter_precursor_keep_below(
        x, spectrumMsLevel = 2L, msLevel = NA)
    expect_equal(res, x)
    res <- .peaks_filter_precursor_keep_below(
        x, spectrumMsLevel = NA, msLevel = 1L)
    expect_equal(res, x)

    res <- .peaks_filter_precursor_keep_below(
        x, spectrumMsLevel = 1L, msLevel = 1L,
        precursorMz = 20)
    expect_equal(res[, "intensity"], 1:5)

    res <- .peaks_filter_precursor_keep_below(
        x, spectrumMsLevel = 1L, msLevel = 1L,
        precursorMz = 14.2)
    expect_equal(res[, "intensity"], 1:2)

    res <- .peaks_filter_precursor_keep_below(
        x, spectrumMsLevel = 1L, msLevel = 1L,
        precursorMz = 14.2, tolerance = 0.1)
    expect_equal(unname(res[, "intensity"]), 1)
})

test_that(".peaks_filter_ranges works", {
    ## Testing all possible combinations, with/without spectra and/or peaks
    ## variables, single/multiple variables, single/multiple rows, NA handling
    x <- cbind(mz = c(100.1, 100.2, 100.3, 100.4,
                      104.1, 104.2,
                      200.3, 200.4, 200.5,
                      300.1, 300.2),
               intensity = 1:11)
    ## res <- .peaks_filter_ranges(x, spectrumMsLevel = 1L, msLevel = 2L)
    ## expect_equal(res, x)

    ## Single filters.
    ranges <- list(rtime = cbind(1, 2), new_var = cbind(3, 4),
                   mz = cbind(200, 201), intensity = cbind(8, 9))

    ## * No peaks variables.
    pvars <- character()
    svars <- c("rtime", "new_var")
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) == 0)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 4,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) == 0)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 4,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x)

    ## * No spectra variables.
    pvars <- c("mz", "intensity")
    svars <- character()
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_equal(res[, "intensity"], 8:9)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_equal(res[, "intensity"], c(1:7, 10:11))
    ranges$mz <- cbind(100, 106)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_true(nrow(res) == 0)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x)
    ranges$mz <- cbind(200, 201)

    ## * Spectra and peaks variables.
    svars <- c("rtime")
    pvars <- c("mz")
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                ranges = ranges, spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_equal(res[, "intensity"], 7:9)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                ranges = ranges, spectrumMsLevel = 1L,
                                keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_equal(res[, "intensity"], c(1:6, 10:11))

    ## Multiple filters.
    ranges <- list(rtime = rbind(c(1, 2), c(0, 4), c(2, 3)),
                   new_var = rbind(c(3, 4), c(1, 9), c(3, 5)),
                   mz = rbind(c(200, 201), c(100, 101), c(200, 201)),
                   intensity = rbind(c(8, 9), c(1, 20), c(3, 12)))

    ## * No peaks variables.
    svars <- c("rtime", "new_var")
    pvars <- character()
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 1,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) == 0)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 4,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 4,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) == 0)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 20,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) == 0L)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 20,
                                new_var = 3, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x)

    ## * No spectra variables.
    svars <- character()
    pvars <- c("mz", "intensity")
    res <- .peaks_filter_ranges(x, pvars = pvars, ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_equal(res[, 2L], sort(c(8, 9, 1, 2, 3, 4, 7)))
    res <- .peaks_filter_ranges(x, pvars = pvars, ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_true(nrow(res) < nrow(x))
    expect_equal(res[, 2L], c(5:6, 10:11))
    res <- .peaks_filter_ranges(x, pvars = c("intensity"), ranges = ranges,
                                spectrumMsLevel = 1L)
    expect_equal(res, x)
    res <- .peaks_filter_ranges(x, pvars = c("intensity"), ranges = ranges,
                                spectrumMsLevel = 1L, keep = FALSE)
    expect_equal(res, x[logical(), , drop = FALSE])

    ## * Spectra and peaks variables.
    svars <- c("rtime")
    pvars <- c("mz")
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 2,
                                ranges = ranges, spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res[, 2L], c(1:4, 7:9))
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 2,
                                ranges = ranges, spectrumMsLevel = 1L,
                                keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res[, 2L], c(5:6, 10:11))
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 4,
                                ranges = ranges, spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res[, 2L], 1:4)
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = 4,
                                ranges = ranges, spectrumMsLevel = 1L,
                                keep = FALSE)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res[, 2L], 5:11)

    ## Handling NA
    ## * spectra variable value is NA
    ranges <- lapply(ranges, function(z) z[1, , drop = FALSE])
    svars <- "rtime"
    pvars <- c("mz", "intensity")
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = NA,
                                ranges = ranges, spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x[logical(), , drop = FALSE])
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = NA,
                                ranges = ranges, spectrumMsLevel = 1L,
                                keep = FALSE)
    expect_equal(res, x)

    svars <- c("rtime", "new_var")
    res <- .peaks_filter_ranges(x, svars = svars, pvars = pvars, rtime = NA,
                                ranges = ranges, spectrumMsLevel = 1L,
                                new_var = 3)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x[logical(), , drop = FALSE])

    ## * peaks variable value is NA
    x[8, 2L] <- NA_real_
    res <- .peaks_filter_ranges(x, pvars = c("mz", "intensity"),
                                ranges = ranges, spectrumMsLevel = 1L)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(unname(res[, 2L]), 9L)

    ## * range value is NA
    ranges$rtime <- cbind(NA, 2)
    res <- .peaks_filter_ranges(x, svars = c("rtime", "new_var"), rtime = 2,
                                new_var = 3, spectrumMsLevel = 1L,
                                ranges = ranges)
    expect_true(is.matrix(res))
    expect_equal(colnames(res), colnames(x))
    expect_equal(res, x[logical(), , drop = FALSE])
    res <- .peaks_filter_ranges(x, svars = c("rtime", "new_var"), rtime = 2,
                                new_var = 3, spectrumMsLevel = 1L,
                                ranges = ranges, keep = FALSE)
    expect_equal(res, x)
})