demo_SOBI <- run_ICA(demo_epochs, pca = 10)
demo_tfr <- compute_tfr(demo_epochs,
n_freq = 2,
n_cycles = 3,
foi = c(8, 12),
keep_trials = TRUE)
test_that("selection of electrodes and times works as expected", {
add_col <- function(.data) {
.data$signals$yoyo <-
(.data$signals$A5 + .data$signals$A13 + .data$signals$A29) / 3
.data
}
expect_equivalent(select(demo_epochs, A5),
select_elecs(demo_epochs, "A5"))
demo_epochs$signals <- tibble::as_tibble(demo_epochs$signals)
rownames(demo_epochs$signals) <- NULL
expect_equivalent(filter(demo_epochs, time >= -.1, time <= .3),
select_times(demo_epochs, c(-.1, .3)))
expect_equal(mutate(demo_epochs, yoyo = (A5 + A13 + A29) / 3),
add_col(demo_epochs))
expect_equivalent(filter(demo_epochs, epoch <= 10, epoch >= 5),
select_epochs(demo_epochs, epoch_no = 5:10))
expect_equivalent(filter(demo_SOBI, epoch <= 20, epoch >= 15),
select_epochs(demo_SOBI, epoch_no = 15:20))
expect_equivalent(filter(demo_tfr, epoch <= 15, epoch >= 10),
select_epochs(demo_tfr, epoch_no = 10:15))
expect_equivalent(select(demo_SOBI, 1:2),
select_elecs(demo_SOBI, 1:2))
expect_equivalent(filter(demo_tfr, frequency >= 10, frequency <= 30),
select_freqs(demo_tfr, c(10, 30)))
})
test_that("filter returns tibble when only 1 channel in data", {
one_chan <- select(demo_epochs, 1)
expect_s3_class(filter(one_chan, time > .1)$signals, "data.frame")
})
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