radaette: Time to Adverse Event Analysis Dataset (ADAETTE)

In random.cdisc.data: Create Random ADaM Datasets

Time to Adverse Event Analysis Dataset (ADAETTE)

Description

Function to generate random Time-to-AE Dataset for a given Subject-Level Analysis Dataset.

Usage

radaette(
  adsl,
  event_descr = NULL,
  censor_descr = NULL,
  lookup = NULL,
  seed = NULL,
  na_percentage = 0,
  na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1)),
  cached = FALSE
)

Arguments

adsl	(data.frame) Subject-Level Analysis Dataset (ADSL).
event_descr	(⁠character vector⁠) Descriptions of events. Defaults to NULL.
censor_descr	(⁠character vector⁠) Descriptions of censors. Defaults to NULL.
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 ADAETTE data cadaette should be returned or new data should be generated. If set to TRUE then the other arguments to radaette will be ignored.

Details

Keys: STUDYID, USUBJID, PARAMCD

Value

data.frame

Author(s)

Xiuting Mi

Examples

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

adaette <- radaette(adsl, seed = 2)
adaette

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