Tumor Response Analysis Data Set (ADRS) — radrs • random.cdisc.data

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

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

Subject-Level Analysis Dataset (ADSL).

avalc

Vector of analysis value categories.

lookup

Data.frame containing additional parameters.

seed

Seed for random number generation.

na_percentage

(numeric) 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 The seed to be used for this element - can be left NA
percentage How many element should be replaced. 0 is 0 % 1 is 100 %, can be left NA and default percentage is used. This will overwrite default percentage (percentage argument))

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)
radrs(ADSL, seed = 2)
#> # A tibble: 80 × 54
#>    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… NOT H… BRA     N    
#>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… NOT H… BRA     N    
#>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     N    
#> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     N    
#> # … with 70 more rows, and 43 more variables: INVID <chr>, INVNAM <chr>,
#> #   ARM <fct>, ARMCD <fct>, ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>,
#> #   TRT01A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> #   RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, EOSSTT <fct>, EOTSTT <fct>,
#> #   EOSDT <date>, EOSDY <int>, DCSREAS <fct>, DTHDT <date>, DTHCAUS <fct>,
#> #   DTHCAT <fct>, LDDTHELD <int>, LDDTHGR1 <fct>, LSTALVDT <date>, …