Nothing
## Test 1: Checking whether its handling the NA values and cutoff value is working fine
test_that("derive_vars_event_flag Test 1: Checking whether its handling the NA values
and cutoff value is working fine", {
input <- tibble::tribble(
~USUBJID, ~FAOBJ, ~ATPTREF, ~AVAL, ~AVALC, ~FATEST, ~FATESTCD, ~FASCAT, ~DTYPE,
"1", "REDNESS", "VAC1", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", .5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC1", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", NA_integer_, NA_character_, "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "REDNESS", "VAC2", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 1.5, "1.5", "Diameter", "DIAMETER", "ADMIN-SITE", "MAXIMUM",
"1", "FATIGUE", "VAC2", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 2, NA_character_, "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED"
)
actual_output <- derive_vars_event_flag(
dataset = input,
by_vars = exprs(USUBJID, FAOBJ, ATPTREF),
aval_cutoff = 2.0,
new_var1 = EVENTL,
new_var2 = EVENTDL
)
expected_output <- input %>%
group_by(USUBJID, FAOBJ, ATPTREF) %>%
mutate(
EVENTL = case_when(
any(!is.na(AVAL) & AVAL > 2.0 | AVALC %in% c("Y", "MILD", "MODERATE", "SEVERE")) ~ "Y",
TRUE ~ "N"
),
EVENTDL = case_when(
!is.na(AVAL) & AVAL > 2.0 | AVALC %in% c("Y", "MILD", "MODERATE", "SEVERE") ~ "Y",
TRUE ~ "N"
),
EVENTDL = ifelse(is.na(AVAL) & is.na(AVALC), NA_character_, EVENTDL)
)
expect_dfs_equal(
expected_output,
actual_output,
keys = c("USUBJID", "FATEST", "ATPTREF", "AVAL", "AVALC", "FAOBJ", "EVENTL", "EVENTDL")
)
})
## Test 2: Checking whether it's creating the user input variables name for both flags
test_that("derive_vars_event_flag Test 2: Checking whether it's creating the user input
variables name for both flags", {
input <- tibble::tribble(
~USUBJID, ~FAOBJ, ~ATPTREF, ~AVAL, ~AVALC, ~FATEST, ~FATESTCD, ~FASCAT, ~DTYPE,
"1", "REDNESS", "VAC1", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 1.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC1", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "REDNESS", "VAC2", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 1.5, "1.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC2", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED"
)
expected_output <- input %>%
group_by(USUBJID, FAOBJ, ATPTREF) %>%
mutate(
flag1 = case_when(
any(!is.na(AVAL) & AVAL > 2.0 | AVALC %in% c("Y", "MILD", "MODERATE", "SEVERE")) ~ "Y",
TRUE ~ "N"
),
flag2 = case_when(
!is.na(AVAL) & AVAL > 2.0 | AVALC %in% c("Y", "MILD", "MODERATE", "SEVERE") ~ "Y",
TRUE ~ "N"
)
) %>%
rename(EFL = flag1, EDFL = flag2)
actual_output <- derive_vars_event_flag(
dataset = input,
by_vars = exprs(USUBJID, FAOBJ, ATPTREF),
aval_cutoff = 2.0,
new_var1 = EFL,
new_var2 = EDFL
)
expect_dfs_equal(
expected_output,
actual_output,
keys = c("USUBJID", "FATEST", "ATPTREF", "AVAL", "AVALC", "FAOBJ", "EFL", "EDFL")
)
})
## Test 3: Checking whether its creating only first flag
test_that("derive_vars_event_flag Test 3: Checking whether its creating only first flag", {
input <- tibble::tribble(
~USUBJID, ~FAOBJ, ~ATPTREF, ~AVAL, ~AVALC, ~FATEST, ~FATESTCD, ~FASCAT, ~DTYPE,
"1", "REDNESS", "VAC1", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 1.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC1", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "REDNESS", "VAC2", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 1.5, "1.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC2", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED"
)
expected_output <- input %>%
group_by(USUBJID, FAOBJ, ATPTREF) %>%
mutate(
flag2 = case_when(
!is.na(AVAL) & AVAL > 2.0 |
AVALC %in% c("Y", "MILD", "MODERATE", "SEVERE") ~ "Y",
TRUE ~ "N"
)
) %>%
rename(EDFL = flag2)
actual_output <- derive_vars_event_flag(
dataset = input,
by_vars = exprs(USUBJID, FAOBJ, ATPTREF),
aval_cutoff = 2.0,
new_var1 = NULL,
new_var2 = EDFL
)
expect_dfs_equal(
expected_output,
actual_output,
keys = c("USUBJID", "FATEST", "ATPTREF", "AVAL", "AVALC", "FAOBJ", "EDFL")
)
})
## Test 4: Checking whether only second flag is created
test_that("derive_vars_event_flag Test 4: Checking whether only second flag is created", {
input <- tibble::tribble(
~USUBJID, ~FAOBJ, ~ATPTREF, ~AVAL, ~AVALC, ~FATEST, ~FATESTCD, ~FASCAT, ~DTYPE,
"1", "REDNESS", "VAC1", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 1.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC1", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "REDNESS", "VAC2", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 1.5, "1.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC2", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED"
)
expected_output <- input %>%
group_by(USUBJID, FAOBJ, ATPTREF) %>%
mutate(
flag1 = case_when(
any(!is.na(AVAL) & AVAL > 2.0 | AVALC %in% c("Y", "MILD", "MODERATE", "SEVERE")) ~ "Y",
TRUE ~ "N"
)
) %>%
rename(EFL = flag1)
actual_output <- derive_vars_event_flag(
dataset = input,
by_vars = exprs(USUBJID, FAOBJ, ATPTREF),
aval_cutoff = 2.0,
new_var1 = EFL,
new_var2 = NULL
)
expect_dfs_equal(
expected_output,
actual_output,
keys = c("USUBJID", "FATEST", "ATPTREF", "AVAL", "AVALC", "FAOBJ", "EFL")
)
})
## Test 5: Checking whether the input dataset is returned when user pass null in both flags
test_that("derive_vars_event_flag Test 5: Checking whether the input dataset is returned
when user pass null in both flags", {
input <- tibble::tribble(
~USUBJID, ~FAOBJ, ~ATPTREF, ~AVAL, ~AVALC, ~FATEST, ~FATESTCD, ~FASCAT, ~DTYPE,
"1", "REDNESS", "VAC1", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC1", 1.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC1", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC1", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "REDNESS", "VAC2", 3.5, "3.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 4.5, "4.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "REDNESS", "VAC2", 1.5, "1.5", "Diameter", "DIAMETER", "ADMIN-SITE", "DERIVED",
"1", "FATIGUE", "VAC2", 1, "MILD", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 2, "MODERATE", "Severity", "SEV", "SYSTEMIC", "DERIVED",
"1", "FATIGUE", "VAC2", 0, "NONE", "Severity", "SEV", "SYSTEMIC", "DERIVED"
)
expected_output <- input
actual_output <- derive_vars_event_flag(
dataset = input,
by_vars = exprs(USUBJID, FAOBJ, ATPTREF),
aval_cutoff = 2.0,
new_var1 = NULL,
new_var2 = NULL
)
expect_dfs_equal(
expected_output,
actual_output,
keys = c("USUBJID", "FATEST", "ATPTREF", "AVAL", "AVALC", "FAOBJ")
)
})
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