Nothing
# The reference output in fixtures/regression.rds was created with
# pvaluefunctions 1.6.3, i.e. before the refactoring (see
# fixtures/make-regression.R). These tests make sure that the results did not
# change.
reference <- readRDS(test_path("fixtures", "regression.rds"))
configs <- regression_configs()
# -log2(p) is dominated by floating point noise for the extreme tails of the
# exact Pearson distribution (p below about 1e-6)
mask_extreme_s_val <- function(frame) {
frame$s_val[is.na(frame$p_two) | frame$p_two < 1e-6] <- NA
frame
}
check_configuration <- function(name) {
args <- configs[[name]]
args$plot <- FALSE
res <- suppressMessages(suppressWarnings(do.call(conf_dist, args)))
ref <- reference[[name]]
expect_equal(
mask_extreme_s_val(res$res_frame),
mask_extreme_s_val(ref$res_frame),
tolerance = 1e-6,
label = paste(name, "res_frame")
)
expect_equal(
res$conf_frame,
ref$conf_frame,
tolerance = 1e-6,
label = paste(name, "conf_frame")
)
expect_equal(
res$counternull_frame,
ref$counternull_frame,
tolerance = 1e-6,
label = paste(name, "counternull_frame")
)
expect_equal(
res$point_est,
ref$point_est,
tolerance = 1e-6,
label = paste(name, "point_est")
)
expect_equal(
res$aucc_frame,
ref$aucc_frame,
tolerance = 1e-6,
label = paste(name, "aucc_frame")
)
}
test_that("results are unchanged compared with version 1.6.3", {
# The exact distribution of Pearson's correlation is tested separately
fast <- setdiff(names(configs), c("pearson", "pearson_one_sided"))
for (name in fast) {
check_configuration(name)
}
})
test_that("exact Pearson results are unchanged compared with version 1.6.3", {
skip_on_cran()
check_configuration("pearson")
check_configuration("pearson_one_sided")
})
test_that("the reference fixture covers all configurations", {
expect_setequal(names(reference), names(configs))
})
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