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[Stable]

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

Usage

radrs(
  adsl,
  avalc = NULL,
  lookup = NULL,
  seed = NULL,
  na_percentage = 0,
  na_vars = list(AVISIT = c(NA, 0.1), AVAL = c(1234, 0.1), AVALC = c(1234, 0.1)),
  cached = FALSE
)

Arguments

adsl

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

avalc

(character vector)
Analysis value categories.

lookup

(data.frame)
Additional parameters.

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 ADRS data cadrs should be returned or new data should be generated. If set to TRUE then the other arguments to radrs will be ignored.

Value

data.frame

Details

One record per subject per parameter per analysis visit per analysis date. SDTM variables are populated on new records coming from other single records. Otherwise, SDTM variables are left blank.

Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADT, RSSEQ

Examples

library(random.cdisc.data)
adsl <- radsl(N = 10, seed = 1, study_duration = 2)

adrs <- radrs(adsl, seed = 2)
adrs
#> # A tibble: 80 × 65
#>    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-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y    
#> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y    
#> # ℹ 70 more rows
#> # ℹ 54 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>, …