datacutr (version 0.2.2)

date_cut: xxSTDTC or xxDTC Cut

Description

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).

Usage

date_cut(dataset_sdtm, sdtm_date_var, dataset_cut, cut_var)

Value

Input dataset plus a flag TEMP_DCUT_REMOVE to indicate which observations would be dropped when a datacut is applied

Arguments

dataset_sdtm

Input SDTMv dataset

sdtm_date_var

Input date variable found in the dataset_sdtmv dataset

dataset_cut

Input datacut dataset

cut_var

Datacut date variable

Author

Alana Harris

Examples

library(lubridate)
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
)