Add the number of observations per dosing interval
Source:R/nif_class.R
add_obs_per_dosing_interval.RdThis function adds a variable, OPDI, to the NIF object that indicates the
number of observations per analyte and dosing interval. This field can be
helpful to identify dosing intervals across which rich sampling was
conducted.
Examples
add_obs_per_dosing_interval(examplinib_poc_nif)
#> # A tibble: 7,622 × 32
#> # Groups: ID, USUBJID, ANALYTE, PARENT, DI [6,472]
#> REF ID STUDYID USUBJID AGE SEX RACE HEIGHT WEIGHT BMI
#> <int> <dbl> <chr> <chr> <dbl> <dbl> <fct> <dbl> <dbl> <dbl>
#> 1 1 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 2 2 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 3 3 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 4 4 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 5 5 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 6 6 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 7 7 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 8 8 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 9 9 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> 10 10 1 2023000022 202300002210100… 58 1 WHITE 185. 91.4 26.6
#> # ℹ 7,612 more rows
#> # ℹ 22 more variables: DTC <dttm>, TIME <dbl>, NTIME <dbl>, TAFD <dbl>,
#> # TAD <dbl>, PCELTM <chr>, EVID <dbl>, AMT <dbl>, ANALYTE <chr>, CMT <dbl>,
#> # PARENT <chr>, TRTDY <dbl>, METABOLITE <lgl>, DOSE <dbl>, MDV <dbl>,
#> # ACTARMCD <chr>, IMPUTATION <chr>, DI <int>, DV <dbl>, BL_CREAT <dbl>,
#> # BL_CRCL <dbl>, OPDI <int>
add_obs_per_dosing_interval(examplinib_poc_min_nif)
#> # A tibble: 6,578 × 12
#> # Groups: ID, PARENT, DI [5,234]
#> REF ID TIME EVID AMT CMT PARENT MDV DI RATE DV OPDI
#> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <int> <dbl> <dbl> <int>
#> 1 1 1 0 1 500 1 1 1 1 0 NA 6
#> 2 2 1 0 0 0 2 1 0 1 0 0 6
#> 3 3 1 0 0 0 3 1 0 1 0 0 6
#> 4 4 1 2.17 0 0 2 1 0 1 0 3.38 6
#> 5 5 1 2.17 0 0 3 1 0 1 0 3.45 6
#> 6 6 1 4.63 0 0 2 1 0 1 0 1.48 6
#> 7 7 1 4.63 0 0 3 1 0 1 0 10.8 6
#> 8 8 1 24 1 500 1 1 1 2 0 NA 0
#> 9 9 1 48 1 500 1 1 1 3 0 NA 0
#> 10 10 1 72 1 500 1 1 1 4 0 NA 0
#> # ℹ 6,568 more rows