test_dat <-
data.frame(
Fp1 = c(100, 99, 80, 135, 3515, 3, 555),
AFz = c(120, -299, -200, 35, 2112, -3, 243),
Pz = c(-24, -199, -265, -123, 12, 103, 143)
)
test_dat_time <-
data.frame(
Fp1 = c(100, 99, 80, 135, 3515, 3, 555),
AFz = c(120, -299, -200, 35, 2112, -3, 243),
Pz = c(-24, -199, -265, -123, 12, 103, 143),
time = c(-.1, 0, .1, .2, .3, .4, .5)
)
new_dat <-
data.frame(
Fp1 = c(100, 99, 80, 135, 3515, 3, 555)
)
time_sel <-
data.frame(
Fp1 = c(99, 80, 135),
AFz = c(-299, -200, 35),
Pz = c(-199, -265, -123),
time = c( 0, .1, .2)
)
test_data <- import_raw("Newtest17-256.bdf")
test_that("selection of electrodes and times works as expected", {
expect_equal(select_elecs(test_dat, electrode = "Fp1"), new_dat)
expect_equivalent(select_times(test_dat_time, c(-.1, .3)), time_sel)
})
test_that("Selection of electrodes and times works for eeg_* objects", {
test_Oz <- select_elecs(test_data, electrode = "A2")
expect_equal(names(test_Oz$signals), "A2")
expect_s3_class(as.data.frame(test_Oz), "data.frame")
test_seltime <- select_times(test_data, time_lim = c(-.1, .4))
expect_true(min(test_seltime$timings$time) >= -.1)
expect_true(max(test_seltime$timings$time) <= .4)
expect_equal(nrow(test_seltime$timings), nrow(test_seltime$signals))
test_epo <- epoch_data(test_data, 255)
test_epo_elec <- select_elecs(test_epo, electrode = "A5")
expect_equal(names(test_epo_elec$signals), "A5")
test_epo_times <- select_times(test_epo, c(-.1, .2))
min_time <- test_epo$timings$time[which.min(abs(test_epo$timings$time - -.1))]
max_time <- test_epo$timings$time[which.min(abs(test_epo$timings$time - .2))]
expect_true(min(test_epo_times$timings$time) >= min_time)
expect_true(max(test_epo_times$timings$time) <= max_time)
epo_df <- as.data.frame(test_epo)
epo_df_A5 <- select_elecs(epo_df, electrode = "A5")
expect_true("A5" %in% names(epo_df_A5))
expect_false("A2" %in% names(epo_df_A5))
test_evoked <- eeg_average(test_epo)
evo_A5 <- select_elecs(test_evoked, electrode = "A5")
expect_true("A5" %in% channel_names(evo_A5))
expect_false("A2" %in% channel_names(evo_A5))
test_ica <- run_ICA(demo_epochs, pca = 10)
test_ica_comp1 <- select_elecs(test_ica, "Comp002")
expect_true("Comp002" %in% channel_names(test_ica_comp1))
expect_false("Comp001" %in% channel_names(test_ica_comp1))
})
test_that("Selection of epochs functions for eeg_epochs objects only", {
test_epo <- epoch_data(test_data, 255)
test_epo <- tag_events(test_epo, 255, "testing")
test_epo_df <- select_epochs(test_epo, 255, df_out = TRUE)
expect_is(test_epo_df, "data.frame")
test_epo_255 <- select_epochs(test_epo, 255)
expect_is(test_epo_255, "eeg_epochs")
expect_identical(test_epo_255$signals, test_epo$signals)
test_epo_testing <- select_epochs(test_epo, "testing")
expect_identical(test_epo_255$signals,
test_epo_testing$signals)
expect_error(select_epochs(test_epo, 234))
expect_error(select_epochs(test_epo, "no trig"))
expect_warning(select_epochs(test_data, 255))
expect_warning(select_epochs(test_dat, 255))
sel_epochs <- c(1, 2, 10, 34)
test_epo_testing <- select_epochs(test_epo,
epoch_no = sel_epochs)
expect_equal(unique(test_epo_testing$events$epoch),
sel_epochs)
expect_equal(unique(test_epo_testing$events$epoch),
unique(test_epo_testing$timings$epoch))
test_epo_testing <- select_epochs(test_epo,
epoch_no = sel_epochs,
keep = FALSE)
expect_equal(unique(test_epo_testing$events$epoch),
unique(test_epo_testing$timings$epoch))
})
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