radcm: Previous and Concomitant Medications Analysis Dataset (ADCM)

In random.cdisc.data: Create Random ADaM Datasets

Previous and Concomitant Medications Analysis Dataset (ADCM)

Description

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

Usage

radcm(
  adsl,
  max_n_cms = 10L,
  lookup = NULL,
  seed = NULL,
  na_percentage = 0,
  na_vars = list(CMCLAS = c(NA, 0.1), CMDECOD = c(1234, 0.1), ATIREL = c(1234, 0.1)),
  who_coding = FALSE,
  cached = FALSE
)

Arguments

adsl	(data.frame) Subject-Level Analysis Dataset (ADSL).
max_n_cms	(integer) Maximum number of concomitant medications per patient. Defaults to 10.
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.
who_coding	(flag) Whether WHO coding (with multiple paths per medication) should be used.
cached	boolean whether the cached ADCM data cadcm should be returned or new data should be generated. If set to TRUE then the other arguments to radcm will be ignored.

Details

One record per each record in the corresponding SDTM domain.

Keys: STUDYID, USUBJID, ASTDTM, CMSEQ

Value

data.frame

Examples

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

adcm <- radcm(adsl, seed = 2)
adcm

adcm_who <- radcm(adsl, seed = 2, who_coding = TRUE)
adcm_who

random.cdisc.data documentation built on Oct. 10, 2024, 5:08 p.m.