pt_cut | R Documentation |
Use to apply a patient cut to an SDTMv dataset (i.e. subset SDTMv observations on patients included in the dataset_cut input dataset)
pt_cut(dataset_sdtm, dataset_cut)
dataset_sdtm |
Input SDTMv dataset |
dataset_cut |
Input datacut dataset, e.g. dcut |
Input dataset plus a flag DCUT_TEMP_REMOVE
to indicate which observations would be
dropped when a patient level datacut is applied
Alana Harris
library(lubridate)
dcut <- tibble::tribble(
~USUBJID, ~DCUTDTM,
"subject1", ymd_hms("2020-10-11T23:59:59"),
"subject2", ymd_hms("2020-10-11T23:59:59"),
"subject4", ymd_hms("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"
)
ae_out <- pt_cut(
dataset_sdtm = ae,
dataset_cut = dcut
)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.