Vital Signs Analysis Dataset (ADVS) — radvs • random.cdisc.data

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

Usage

radvs(
  adsl,
  param = c("Diastolic Blood Pressure", "Pulse Rate", "Respiratory Rate",
    "Systolic Blood Pressure", "Temperature", "Weight"),
  paramcd = c("DIABP", "PULSE", "RESP", "SYSBP", "TEMP", "WEIGHT"),
  paramu = c("Pa", "beats/min", "breaths/min", "Pa", "C", "Kg"),
  visit_format = "WEEK",
  n_assessments = 5L,
  n_days = 5L,
  seed = NULL,
  na_percentage = 0,
  na_vars = list(CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG =
    c(1234, 0.1), AVAL = c(123, 0.1), AVALU = c(123, 0.1)),
  cached = FALSE
)

Arguments

adsl

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

param

(character vector)
Parameter values.

paramcd

(character vector)
Parameter code values.

paramu

(character vector)
Parameter unit values.

visit_format

(character)
Type of visit. Options are "WEEK" and "CYCLE".

n_assessments

(integer)
Number of weeks or cycles.

n_days

(integer)
Number of days in each cycle (only used if visit_format is "CYCLE").

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 ADVS data cadvs should be returned or new data should be generated. If set to TRUE then the other arguments to radvs will be ignored.

Value

data.frame

Details

One record per subject per parameter per analysis visit per analysis date.

Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, VSSEQ, ASPID

Author

npaszty

Examples

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

advs <- radvs(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)
advs
#> # A tibble: 540 × 87
#>    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 530 more rows
#> # ℹ 76 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>, …

advs <- radvs(adsl, visit_format = "CYCLE", n_assessments = 3L, seed = 2)
advs
#> # A tibble: 960 × 87
#>    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 950 more rows
#> # ℹ 76 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>, …