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# Helper function to create dummy eeg_data objects | ||
create_dummy_eeg_data <- function(participant_id, | ||
n_samples = 100, | ||
n_channels = 3) { | ||
data <- list( | ||
signals = data.frame(matrix(rnorm( | ||
n_samples * n_channels | ||
), ncol = n_channels)), | ||
events = data.frame( | ||
event_onset = 1:5, | ||
event_time = (1:5) / 100, | ||
event_type = 11:15 | ||
), | ||
timings = data.frame( | ||
sample = 1:n_samples, | ||
time = (1:n_samples - 1) / 100 | ||
), | ||
chan_info = data.frame(channel = paste0("chan", 1:n_channels)), | ||
srate = 100 | ||
) | ||
class(data) <- c("eeg_data") | ||
data$epochs <- data.frame(participant_id = participant_id, | ||
epoch = 1, | ||
recording = "test") | ||
data | ||
} | ||
|
||
# Helper function to create dummy eeg_epochs objects | ||
create_dummy_eeg_epochs <- function(participant_id, | ||
n_epochs = 5, | ||
n_samples = 100, | ||
n_channels = 3) { | ||
data <- list( | ||
signals = data.frame(matrix( | ||
rnorm(n_epochs * n_samples * n_channels), ncol = n_channels | ||
)), | ||
events = data.frame( | ||
event_onset = rep(1:n_samples, n_epochs), | ||
event_time = rep((1:n_samples - 1) / 100, n_epochs), | ||
epoch = rep(1:n_epochs, each = n_samples), | ||
time = rep(0, n_epochs) | ||
), | ||
timings = data.frame( | ||
sample = 1:n_samples, | ||
time = (1:n_samples - 1) / 100, | ||
epoch = rep(1:n_epochs, each = n_samples) | ||
), | ||
chan_info = data.frame(channel = paste0("chan", 1:n_channels)), | ||
epochs = data.frame( | ||
participant_id = participant_id, | ||
epoch = 1:n_epochs, | ||
recording = "test" | ||
), | ||
srate = 100 | ||
) | ||
class(data) <- c("eeg_epochs", "eeg_data") | ||
data | ||
} | ||
|
||
test_that("eeg_combine works with eeg_data objects", { | ||
data1 <- create_dummy_eeg_data("P1") | ||
data2 <- create_dummy_eeg_data("P1") | ||
|
||
combined <- eeg_combine(data1, data2) | ||
|
||
expect_s3_class(combined, "eeg_data") | ||
expect_equal(nrow(combined$signals), | ||
nrow(data1$signals) + nrow(data2$signals)) | ||
expect_equal(nrow(combined$events), | ||
nrow(data1$events) + nrow(data2$events)) | ||
expect_equal(nrow(combined$timings), | ||
nrow(data1$timings) + nrow(data2$timings)) | ||
}) | ||
|
||
test_that("eeg_combine works with eeg_epochs objects", { | ||
data1 <- create_dummy_eeg_epochs("P1") | ||
data2 <- create_dummy_eeg_epochs("P1") | ||
|
||
combined <- eeg_combine(data1, data2) | ||
|
||
expect_s3_class(combined, "eeg_epochs") | ||
expect_equal(nrow(combined$signals), | ||
nrow(data1$signals) + nrow(data2$signals)) | ||
expect_equal(nrow(combined$events), | ||
nrow(data1$events) + nrow(data2$events)) | ||
expect_equal(nrow(combined$epochs), | ||
nrow(data1$epochs) + nrow(data2$epochs)) | ||
}) | ||
|
||
test_that("eeg_combine creates eeg_group for multiple participants", { | ||
data1 <- create_dummy_eeg_epochs("P1") | ||
data2 <- create_dummy_eeg_epochs("P2") | ||
|
||
combined <- eeg_combine(data1, data2) | ||
|
||
expect_s3_class(combined, "eeg_group") | ||
expect_equal(length(unique(combined$epochs$participant_id)), 2) | ||
}) | ||
|
||
test_that("eeg_combine checks for participant_id", { | ||
data1 <- create_dummy_eeg_epochs("P1") | ||
data2 <- create_dummy_eeg_epochs("P2") | ||
data2$epochs$participant_id <- NA | ||
|
||
expect_error(eeg_combine(data1, data2), "`participant_id` is missing") | ||
}) | ||
|
||
test_that("check_timings corrects epoch numbering", { | ||
data1 <- create_dummy_eeg_epochs("P1", n_epochs = 3) | ||
data2 <- create_dummy_eeg_epochs("P1", n_epochs = 3) | ||
data2$epochs$epoch <- 1:3 | ||
data2$timings$epoch <- rep(1:3, each = 100) | ||
|
||
combined <- eeg_combine(data1, data2, check_timings = TRUE) | ||
|
||
expect_equal(unique(combined$epochs$epoch), 1:6) | ||
expect_equal(max(combined$timings$epoch), 6) | ||
}) | ||
|
||
test_that("eeg_combine.list works with a list of eeg objects", { | ||
data_list <- list( | ||
create_dummy_eeg_epochs("P1"), | ||
create_dummy_eeg_epochs("P2"), | ||
create_dummy_eeg_epochs("P3") | ||
) | ||
|
||
combined <- eeg_combine(data_list) | ||
|
||
expect_s3_class(combined, "eeg_group") | ||
expect_equal(length(unique(combined$epochs$participant_id)), 3) | ||
}) | ||
|
||
test_that("eeg_combine throws error for incompatible objects", { | ||
data1 <- create_dummy_eeg_data("P1") | ||
data2 <- create_dummy_eeg_epochs("P2") | ||
|
||
expect_error(eeg_combine(data1, data2), | ||
"All objects must be unepoched eeg_data objects") | ||
}) |