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Pharmacokinetics Analysis Dataset (ADPC)

Source: R/radpc.R
radpc.Rd

[Stable]

Function for generating a random Pharmacokinetics Analysis Dataset for a given Subject-Level Analysis Dataset.

Usage 

radpc(
  adsl,
  avalu = "ug/mL",
  constants = c(D = 100, ka = 0.8, ke = 1),
  duration = 2,
  seed = NULL,
  na_percentage = 0,
  na_vars = list(AVAL = c(NA, 0.1)),
  cached = FALSE
)

Arguments

adsl

(data.frame)
Subject-Level Analysis Dataset (ADSL).

avalu

(character)
Analysis value units.

constants

(character vector)
Constant parameters to be used in formulas for creating analysis values.

duration

(numeric)
Duration in number of days.

seed

(numeric)
Seed to use for reproducible random number generation.

na_percentage

(proportion)
Default percentage of values to be replaced by NA.

na_vars

(list)
A named list where the name of each element is a column name of ds. Each element of this list should be a numeric vector with two elements:

  • seed (numeric)
    The seed to be used for this element - can be NA.

  • percentage (proportion)
    Percentage of elements to be replaced with NA. If NA, na_percentage is used as a default.

cached

boolean whether the cached ADPC data cadpc should be returned or new data should be generated. If set to TRUE then the other arguments to radpc will be ignored.

Value

data.frame

Details

One record per study, subject, parameter, and time point.

Examples 

adsl <- radsl(N = 10, seed = 1, study_duration = 2)

adpc <- radpc(adsl, seed = 2)
adpc
#> # A tibble: 180 × 72
#>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL
#>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct>
#>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#> # ℹ 170 more rows
#> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>,
#> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>,
#> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>,
#> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …

adpc <- radpc(adsl, seed = 2, duration = 3)
adpc
#> # A tibble: 206 × 72
#>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL
#>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct>
#>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N    
#> # ℹ 196 more rows
#> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>,
#> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>,
#> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>,
#> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …