Nothing
# Generate test data
test_data <- data.frame(
Position = c("A1", "A2", "B1", "B2"),
Value = 1:4,
Validity = "valid",
Group_A = rep(LETTERS[1:2], each = 2),
Group_B = rep(letters[1:2], times = 2),
stringsAsFactors = FALSE
)
# Test case 1
test_that("update_validity() correctly labels specified well positions as invalid", {
# Generate input and expected result
well_positions <- c("A1", "B1")
expected_output <- data.frame(
Position = c("A1", "A2", "B1", "B2"),
Value = 1:4,
Validity = c("invalid", "valid", "invalid", "valid"),
Group_A = rep(LETTERS[1:2], each = 2),
Group_B = rep(letters[1:2], times = 2),
stringsAsFactors = FALSE
)
# Test
expect_equal(update_validity(test_data, well_positions = well_positions), expected_output)
})
# Test case 2
test_that("update_validity() correctly ignores well positions not in data", {
# Generate input and expected result
well_positions <- c("C1", "D1")
expected_output <- data.frame(
Position = c("A1", "A2", "B1", "B2"),
Value = 1:4,
Validity = "valid",
Group_A = rep(LETTERS[1:2], each = 2),
Group_B = rep(letters[1:2], times = 2),
stringsAsFactors = FALSE
)
# Test
expect_equal(update_validity(test_data, well_positions = well_positions), expected_output)
})
# Test case 3
test_that("update_validity correctly matches group levels and sets corresponding well positions as invalid", {
# Generate input and expected result
well_positions <- c("A2", "B2")
group_levels <- list(Group_A = c("A", "B"), Group_B = "b")
expected_output <- data.frame(
Position = c("A1", "A2", "B1", "B2"),
Value = c(1, 2, 3, 4),
Validity = c("valid", "invalid", "valid", "invalid"),
Group_A = rep(LETTERS[1:2], each = 2),
Group_B = rep(letters[1:2], times = 2),
stringsAsFactors = FALSE
)
# Test
expect_equal(update_validity(test_data,
well_positions = well_positions,
group_levels = group_levels),
expected_output)
})
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