Keep only selected USUBJID in the data set
Examples
filter_subject(examplinib_poc, subjects(examplinib_poc)[1, "USUBJID"])
#> -------- SDTM data set summary --------
#> Study 2023000022
#>
#> Data disposition
#> DOMAIN SUBJECTS OBSERVATIONS
#> dm 1 1
#> vs 1 2
#> ex 1 7
#> pc 1 44
#> lb 1 1
#> pp 1 18
#>
#> Arms (DM):
#> ACTARMCD ACTARM
#> TREATMENT Single Arm Treatment
#>
#> Treatments (EX):
#> EXAMPLINIB
#>
#> PK sample specimens (PC):
#> PLASMA
#>
#> PK analytes (PC):
#> PCTEST PCTESTCD
#> RS2023 RS2023
#> RS2023487A RS2023487A
#>
filter_subject(examplinib_poc_nif, subjects(examplinib_poc_nif)[1, "USUBJID"])
#> ----- NONMEM input file (NIF) object -----
#> 44 observations from 1 subject across 1 study
#> Analytes: RS2023 and RS2023487A
#> 0 males (0%), 1 females (100%)
#>
#> Columns:
#> REF, ID, STUDYID, USUBJID, AGE, SEX, RACE, HEIGHT, WEIGHT, BMI, DTC, TIME,
#> NTIME, TAFD, TAD, PCELTM, EVID, AMT, ANALYTE, CMT, PARENT, TRTDY, METABOLITE,
#> DOSE, DV, MDV, ACTARMCD, IMPUTATION, BL_CREAT, BL_CRCL
#>
#> Data (selected columns):
#> ID NTIME TIME TAD ANALYTE EVID CMT AMT DOSE DV
#> 1 0 0 0 RS2023 1 1 500 500 NA
#> 1 0 0 0 RS2023 0 2 0 500 0
#> 1 0 0 0 RS2023487A 0 3 0 500 0
#> 1 0.5 1 1 RS2023 0 2 0 500 636.683
#> 1 0.5 1 1 RS2023487A 0 3 0 500 135.126
#> 1 1 1.467 1.467 RS2023 0 2 0 500 1844.823
#> 1 1 1.467 1.467 RS2023487A 0 3 0 500 677.321
#> 1 1.5 2 2 RS2023 0 2 0 500 2773.308
#> 1 1.5 2 2 RS2023487A 0 3 0 500 1547.253
#> 1 2 2.467 2.467 RS2023 0 2 0 500 2539.54
#> 125 more rows