Use to apply a datacut to either an xxSTDTC or xxDTC SDTM date variable. The datacut date from
the datacut dataset is merged on to the input SDTMv dataset and renamed to TEMP_DCUT_DCUTDTM
.
A flag TEMP_DCUT_REMOVE
is added to the dataset to indicate the observations that would be
removed when the cut is applied.
Note that this function applies a patient level datacut at the same time (using the pt_cut()
function), and also imputes dates in the specified SDTMv dataset (using the impute_sdtm()
function).
Value
Input dataset plus a flag TEMP_DCUT_REMOVE
to indicate which observations would be
dropped when a datacut is applied
Examples
library(lubridate)
#>
#> Attaching package: ‘lubridate’
#> The following objects are masked from ‘package:base’:
#>
#> date, intersect, setdiff, union
dcut <- tibble::tribble(
~USUBJID, ~DCUTDTM, ~DCUTDTC,
"subject1", ymd_hms("2020-10-11T23:59:59"), "2020-10-11T23:59:59",
"subject2", ymd_hms("2020-10-11T23:59:59"), "2020-10-11T23:59:59",
"subject4", ymd_hms("2020-10-11T23:59:59"), "2020-10-11T23:59:59"
)
ae <- tibble::tribble(
~USUBJID, ~AESEQ, ~AESTDTC,
"subject1", 1, "2020-01-02T00:00:00",
"subject1", 2, "2020-08-31T00:00:00",
"subject1", 3, "2020-10-10T00:00:00",
"subject2", 2, "2020-02-20T00:00:00",
"subject3", 1, "2020-03-02T00:00:00",
"subject4", 1, "2020-11-02T00:00:00",
"subject4", 2, ""
)
ae_out <- date_cut(
dataset_sdtm = ae,
sdtm_date_var = AESTDTC,
dataset_cut = dcut,
cut_var = DCUTDTM
)