radmh: Medical History Analysis Dataset (ADMH)

In random.cdisc.data: Create Random ADaM Datasets

Medical History Analysis Dataset (ADMH)

Description

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

Usage

radmh(
  adsl,
  max_n_mhs = 10L,
  lookup = NULL,
  seed = NULL,
  na_percentage = 0,
  na_vars = list(MHBODSYS = c(NA, 0.1), MHDECOD = c(1234, 0.1)),
  cached = FALSE
)

Arguments

adsl	(data.frame) Subject-Level Analysis Dataset (ADSL).
max_n_mhs	(integer) Maximum number of MHs 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.
cached	boolean whether the cached ADMH data cadmh should be returned or new data should be generated. If set to TRUE then the other arguments to radmh will be ignored.

Details

One record per each record in the corresponding SDTM domain.

Keys: STUDYID, USUBJID, ASTDTM, MHSEQ

Value

data.frame

Examples

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

admh <- radmh(adsl, seed = 2)
admh

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