Create Baseline Data Simulation Object

Usage

create_baseline_object(
  n_trt_int,
  n_ctrl_int,
  n_ctrl_ext,
  covariates,
  transformations
)

Arguments

n_trt_int: Number of internal treated patients
n_ctrl_int: Number of internal control patients
n_ctrl_ext: Number of external control patients
covariates: List of correlated covariates objects, see baseline_covariates()
transformations: List of named transformation functions.

Value

A BaselineObject

Details

Transformation functions are evaluated in order and create or overwrite a column in the data.frame with that name. The function should take a data.frame (specifically a BaselineDataFrame object from generate(BaselineObject)) and return a vector with length identical to the total number of patients. The @BaselineObject slot may be accessed directly or with get_quantiles() to create transformations. See binary_cutoff()

Examples

bl_no_covs <- create_baseline_object(
  n_trt_int = 100,
  n_ctrl_int = 50,
  n_ctrl_ext = 100
)


bl_biomarkers <- create_baseline_object(
  n_trt_int = 100,
  n_ctrl_int = 50,
  n_ctrl_ext = 100,
  covariates = baseline_covariates(
    c("b1", "b2", "b3"),
    means_int = c(0, 0, 0),
    covariance_int = covariance_matrix(c(1, 1, 1), c(.8, .3, .8))
  ),
  transformations = list(
    exp_b1 = function(data) exp(data$b1),
    b2 = binary_cutoff("b2", int_cutoff = 0.7, ext_cutoff = 0.5)
  )
)