Nothing
test_that("row & column order stays unchanged", {
mgf_tibble <- read_mgf(test_path("data", "test_filter_msn_nl.mgf"))
mgf_tibble_scale <- msn_scale(mgf_tibble)
expect_equal(rownames(mgf_tibble_scale), rownames(mgf_tibble))
expect_equal(colnames(mgf_tibble_scale), colnames(mgf_tibble))
})
test_that("returns NULL if no MSn spectrum is available", {
mgf_tibble <- read_mgf(test_path("data", "test_filter_msn_nl.mgf"))
mgf_tibble$MSn[1] <- list(NULL)
mgf_tibble_scale <- msn_scale(mgf_tibble)
expect_null(mgf_tibble$MSn[[1]])
expect_null(mgf_tibble_scale$MSn[[1]])
})
test_that("scaling works as expected for some scaling factors", {
mgf_tibble <- read_mgf(test_path("data", "test_filter_msn_nl.mgf"))
exp_scale <- list(
tibble::tribble(
~m_z, ~Intensity,
12.3456, 1/3,
23.4567, 2/3,
34.5678, 3/3
),
tibble::tribble(
~m_z, ~Intensity,
123.4567, 4/8,
234.5678, 5/8,
345.6789, 6/8,
456.7890, 7/8,
567.8901, 8/8
),
tibble::tribble(
~m_z, ~Intensity,
1234.5678, 9/14,
2345.6789, 10/14,
3456.7890, 11/14,
4567.8901, 12/14,
5678.9012, 13/14,
6789.0123, 14/14
)
)
exp_scale_100 <- purrr::map(exp_scale, dplyr::mutate, Intensity = Intensity * 100)
exp_scale_1000 <- purrr::map(exp_scale, dplyr::mutate, Intensity = Intensity * 1000)
exp_scale_5 <- purrr::map(exp_scale, dplyr::mutate, Intensity = Intensity * 5)
exp_scale_1 <- purrr::map(exp_scale, dplyr::mutate, Intensity = Intensity * 1)
mgf_tibble_scale_100 <- msn_scale(mgf_tibble, scale_to = 100)
mgf_tibble_scale_1000 <- msn_scale(mgf_tibble, scale_to = 1000)
mgf_tibble_scale_5 <- msn_scale(mgf_tibble, scale_to = 5)
mgf_tibble_scale_1 <- msn_scale(mgf_tibble, scale_to = 1)
expect_equal(mgf_tibble_scale_100$MSn, exp_scale_100)
expect_equal(mgf_tibble_scale_1000$MSn, exp_scale_1000)
expect_equal(mgf_tibble_scale_5$MSn, exp_scale_5)
expect_equal(mgf_tibble_scale_1$MSn, exp_scale_1)
})
test_that("highest number is correct for some scaling factors", {
mgf_tibble <- read_mgf(test_path("data", "test_filter_msn_nl.mgf"))
max_mgf_tibble_scale_100 <- msn_scale(mgf_tibble, scale_to = 100)$MSn %>%
purrr::transpose() %>%
`[[`("Intensity") %>%
purrr::map(max) %>%
unlist()
max_mgf_tibble_scale_1000 <- msn_scale(mgf_tibble, scale_to = 1000)$MSn %>%
purrr::transpose() %>%
`[[`("Intensity") %>%
purrr::map(max) %>%
unlist()
max_mgf_tibble_scale_5 <- msn_scale(mgf_tibble, scale_to = 5)$MSn %>%
purrr::transpose() %>%
`[[`("Intensity") %>%
purrr::map(max) %>%
unlist()
max_mgf_tibble_scale_1 <- msn_scale(mgf_tibble, scale_to = 1)$MSn %>%
purrr::transpose() %>%
`[[`("Intensity") %>%
purrr::map(max) %>%
unlist()
expect_equal(max_mgf_tibble_scale_100, rep(100, nrow(mgf_tibble)))
expect_equal(max_mgf_tibble_scale_1000, rep(1000, nrow(mgf_tibble)))
expect_equal(max_mgf_tibble_scale_5, rep(5, nrow(mgf_tibble)))
expect_equal(max_mgf_tibble_scale_1, rep(1, nrow(mgf_tibble)))
})
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