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Updating special_dm_cut and date_cut to account for the case that DCU… #187

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12 changes: 9 additions & 3 deletions .lintr
Original file line number Diff line number Diff line change
@@ -1,4 +1,10 @@
linters: linters_with_defaults(line_length_linter(100), object_usage_linter=NULL, cyclocomp_linter(complexity_limit = 20))
linters: linters_with_defaults(
line_length_linter(100),
object_usage_linter=NULL,
infix_spaces_linter=NULL,
indentation_linter=NULL,
cyclocomp_linter(complexity_limit = 22)
)
exclusions: list(
"R/data.R",
"tests/testthat")
"R/data.R",
"tests/testthat")
4 changes: 3 additions & 1 deletion NEWS.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,9 @@
- Added a "Report a bug" link to `{datacutr}` website (#182)

## Updates of Existing Functions
- N/A
- Update to `date_cut()` and `special_dm_cut()` functions to allow for
datacut date to be null. In this case, all records for this patient
will be kept/left unchanged.

## Breaking Changes
- N/A
Expand Down
19 changes: 10 additions & 9 deletions R/date_cut.R
Original file line number Diff line number Diff line change
Expand Up @@ -64,20 +64,18 @@ date_cut <- function(dataset_sdtm,
(length(get_duplicates(dataset_cut$USUBJID)) == 0),
msg = "Duplicate patients in the DCUT (dataset_cut) dataset, please update."
)
assert_that(
(any(is.na(mutate(dataset_cut, !!cut_var))) == FALSE),
msg = "At least one patient with missing datacut date (cut_var) in the DCUT
(dataset_cut) dataset, please update."
ifelse(any(is.na(mutate(dataset_cut, !!cut_var))) == TRUE,
print("At least 1 patient with missing datacut date, all records will be kept."), NA
)


dcut <- dataset_cut %>%
mutate(DCUT_TEMP_DCUTDTM = !!cut_var) %>%
subset(select = c(USUBJID, DCUT_TEMP_DCUTDTM))
subset(select = c(USUBJID, DCUT_TEMP_DCUTDTM)) %>%
mutate(TEMP_DCUT_KEEP = "Y")

assert_that(is.POSIXt(dcut$DCUT_TEMP_DCUTDTM),
ifelse(!is.na(dcut$DCUT_TEMP_DCUTDTM), assert_that(is.POSIXt(dcut$DCUT_TEMP_DCUTDTM),
msg = "cut_var is expected to be of date type POSIXt"
)
), NA)

attributes(dcut$USUBJID)$label <- attributes(dataset_sdtm$USUBJID)$label

Expand All @@ -92,7 +90,10 @@ date_cut <- function(dataset_sdtm,
# Flag records to be removed - those occurring after cut date and patients not in dcut dataset
dataset <- dataset_sdtm_pt %>%
mutate(DCUT_TEMP_REMOVE = ifelse((DCUT_TEMP_SDTM_DATE > DCUT_TEMP_DCUTDTM) |
is.na(DCUT_TEMP_DCUTDTM), "Y", NA_character_))
is.na(TEMP_DCUT_KEEP), "Y", NA_character_))

# Ensure variable is character
dataset$DCUT_TEMP_REMOVE <- as.character(dataset$DCUT_TEMP_REMOVE)

dataset <- drop_temp_vars(dsin = dataset, drop_dcut_temp = FALSE)

Expand Down
3 changes: 2 additions & 1 deletion R/global.R
Original file line number Diff line number Diff line change
Expand Up @@ -20,5 +20,6 @@ globalVariables(c(
"DCUT_TEMP_DATE",
"source_data",
"DCUT_TEMP_REMOVE",
"DCUT_TEMP_DTHCHANGE"
"DCUT_TEMP_DTHCHANGE",
"TEMP_DCUT_KEEP"
))
15 changes: 8 additions & 7 deletions R/special_dm_cut.R
Original file line number Diff line number Diff line change
Expand Up @@ -48,10 +48,8 @@ special_dm_cut <- function(dataset_dm,
(length(get_duplicates(dataset_cut$USUBJID)) == 0),
msg = "Duplicate patients in the DCUT (dataset_cut) dataset, please update."
)
assert_that(
(any(is.na(mutate(dataset_cut, !!cut_var))) == FALSE),
msg = "At least one patient with missing datacut date (cut_var) in the DCUT
(dataset_cut) dataset, please update."
ifelse(any(is.na(mutate(dataset_cut, !!cut_var))) == TRUE,
print("At least 1 patient with missing datacut date, all records will be kept."), NA
)
assert_data_frame(dataset_dm,
required_vars = exprs(USUBJID, DTHDTC)
Expand All @@ -69,16 +67,19 @@ special_dm_cut <- function(dataset_dm,
by = "USUBJID"
)

assert_that(is.POSIXt(dm_temp$DCUT_TEMP_DCUTDTM),
ifelse(!is.na(dm_temp$DCUT_TEMP_DCUTDTM), assert_that(is.POSIXt(dm_temp$DCUT_TEMP_DCUTDTM),
msg = "cut_var is expected to be of date type POSIXt"
)
), NA)

# Flag records with Death Date after Cut date
dataset_updatedth <- dm_temp %>%
mutate(DCUT_TEMP_DTHCHANGE = case_when(
DCUT_TEMP_DTHDT > DCUT_TEMP_DCUTDTM ~ "Y",
!is.na(DCUT_TEMP_DCUTDTM) & (DCUT_TEMP_DTHDT > DCUT_TEMP_DCUTDTM) ~ "Y",
TRUE ~ as.character(NA)
))

# Ensure variable is character
dataset_updatedth$DCUT_TEMP_REMOVE <- as.character(dataset_updatedth$DCUT_TEMP_REMOVE)

dataset_updatedth
}
2 changes: 1 addition & 1 deletion _pkgdown.yml
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ search:
repo:
url:
home: https://github.com/pharmaverse/datacutr
source: https://github.com/pharmaverse/datacutr
source: https://github.com/pharmaverse/datacutr/blob/main/
issue: https://github.com/pharmaverse/datacutr/issues/
user: https://github.com/
news:
Expand Down
46 changes: 46 additions & 0 deletions tests/testthat/test-date_cut.R
Original file line number Diff line number Diff line change
Expand Up @@ -178,3 +178,49 @@ test_that("All SDTMv dates are after datacut date", {
expected_ae4
)
})

# Test 5 - Datacut date is NA

input_ae5 <- tibble::tribble(
~STUDYID, ~USUBJID, ~AESEQ, ~AESTDTC,
"my_study", "subject1", 1, "2021-01-02",
"my_study", "subject1", 2, "2021-08-31",
"my_study", "subject1", 3, "2021-10-10",
"my_study", "subject2", 2, "2021-02-20",
"my_study", "subject3", 1, "2021-03-02"
)

input_dcut5 <- tibble::tribble(
~STUDYID, ~USUBJID, ~DCUTDTM,
"my_study", "subject1", NA,
"my_study", "subject2", NA,
"my_study", "subject3", NA
)


expected_ae5 <- tibble::tribble(
~STUDYID, ~USUBJID, ~AESEQ, ~AESTDTC, ~DCUT_TEMP_SDTM_DATE, ~DCUT_TEMP_DCUTDTM,
~DCUT_TEMP_REMOVE,
"my_study", "subject1", 1, "2021-01-02", ymd_hms("2021-01-02T00:00:00"),
NA, NA_character_,
"my_study", "subject1", 2, "2021-08-31", ymd_hms("2021-08-31T00:00:00"),
NA, NA_character_,
"my_study", "subject1", 3, "2021-10-10", ymd_hms("2021-10-10T00:00:00"),
NA, NA_character_,
"my_study", "subject2", 2, "2021-02-20", ymd_hms("2021-02-20T00:00:00"),
NA, NA_character_,
"my_study", "subject3", 1, "2021-03-02", ymd_hms("2021-03-02T00:00:00"),
NA, NA_character_
)

test_that("DCUTDTM is NA", {
expect_equal(
date_cut(
dataset_sdtm = input_ae5,
sdtm_date_var = AESTDTC,
dataset_cut = input_dcut5,
cut_var = DCUTDTM
),
expected_ae5
)
})
50 changes: 50 additions & 0 deletions tests/testthat/test-special_dm_cut.R
Original file line number Diff line number Diff line change
Expand Up @@ -60,3 +60,53 @@ test_that("Error thrown if cut_var is not a POSIXt input", {
regexp = "cut_var is expected to be of date type POSIXt"
)
})

dcut_na <- tibble::tribble(
~USUBJID, ~DCUTDTM,
"01-701-1015", NA,
"01-701-1023", NA,
"01-701-1028", NA,
"01-701-1033", NA,
"01-701-1047", NA,
"01-701-1057", NA,
"01-701-1097", NA,
"01-701-1111", NA,
"01-701-1115", NA,
"01-701-1118", NA
)

dm_expect_na <- tibble::tribble(
~USUBJID, ~DTHDTC, ~DTHFL, ~DCUT_TEMP_REMOVE,
~DCUT_TEMP_DTHDT, ~DCUT_TEMP_DCUTDTM, ~DCUT_TEMP_DTHCHANGE,
"01-701-1015", "", "", NA_character_,
NA, NA, NA_character_,
"01-701-1023", "2014-10-20", "Y", NA_character_,
ymd_hms("2014-10-20T00:00:00"), NA, NA_character_,
"01-701-1028", "2014-10-21", "Y", NA_character_,
ymd_hms("2014-10-21T00:00:00"), NA, NA_character_,
"01-701-1033", "2014-10-19", "Y", NA_character_,
ymd_hms("2014-10-19T00:00:00"), NA, NA_character_,
"01-701-1047", "2014-10-31", "Y", NA_character_,
ymd_hms("2014-10-31T00:00:00"), NA, NA_character_,
"01-701-1057", "2025-10-20", "Y", NA_character_,
ymd_hms("2025-10-20T00:00:00"), NA, NA_character_,
"01-701-1097", "2002-10-20", "Y", NA_character_,
ymd_hms("2002-10-20T00:00:00"), NA, NA_character_,
"01-701-1111", "", "Y", NA_character_,
NA, NA, NA_character_,
"01-701-1115", "", "Y", NA_character_,
NA, NA, NA_character_,
"01-701-1118", "2014-11-20", "", NA_character_,
ymd_hms("2014-11-20T00:00:00"), NA, NA_character_
)

test_that("Tests all expected outcomes when datacut date is NA", {
testthat::expect_equal(
special_dm_cut(
dataset_dm = dm,
dataset_cut = dcut_na,
cut_var = DCUTDTM
),
dm_expect_na
)
})