Nothing
library(testthat)
x <- generate_lorentz_curves(
data_path = sim[1:2],
sfr = c(3.55, 3.35),
wshw = 0,
ask = FALSE,
verbose = FALSE
)
feat_mat <- gen_feat_mat(x)
test_that("speaq_align works", {
skip_if_speaq_deps_missing()
aligned_mat <- speaq_align(
feat = feat_mat,
maxShift = 200,
spectrum_data = x,
si_size_real_spectrum = length(spectrum_data[[1]]$y_values),
verbose = FALSE,
show = FALSE
)
expect_equal(nrow(aligned_mat), length(x))
expect_equal(ncol(aligned_mat), length(x$sim_01$y_values))
})
test_that("speaq_align is backwards compatible to speaq_align_original", {
skip_if_speaq_deps_missing()
local_output_sink(nullfile())
new <- speaq_align(
feat = feat_mat,
maxShift = 200,
spectrum_data = x,
si_size_real_spectrum = length(x[[1]]$y_values)
)
old <- speaq_align_original(
feat = feat_mat,
maxShift = 200,
spectrum_data = x,
si_size_real_spectrum = length(x[[1]]$y_values)
)
if (identical(environment(), globalenv())) deferred_run()
expect_equal(colnames(old), colnames(new))
expect_equal(rownames(old), rownames(new))
old_vals <- old[!is.na(old)]
new_vals <- new[!is.na(new)]
expect_equal(old, new, tolerance = 1e-5) # (1)
# (1) With version 1.5.0 of metabodecon, the integral calculation done in
# speaq_align was refactored to use `A * pi` instead of `A * (atan((n - p) /
# l) - atan((0 - p) / l))` (with limits from 0 to n). This means the values
# between speaq_align and speaq_align_original are not identical anymore and
# we need to set a higher tolerance (1e-5 in this case instead of the
# appox. default of 1e-8).
})
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