Set Transformations in Baseline Objects

Usage

# S4 method for class 'BaselineObject'
set_transformations(object, ..., overwrite = FALSE)

Arguments

object: BaselineObject created by create_baseline_object.
...: named transformation functions. See details for more information.
overwrite: If TRUE overwrite existing transformation list and only include newly specified transformations.

Value

An updated BaselineObject

Details

Transformation functions are evaluated in order and create or overwrite a column in the data.frame with that name. The function should have signature function(data), taking 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 of the BaselineDataFrame may be accessed directly or with get_quantiles() to create transformations. See binary_cutoff().

Examples

baseline <- create_baseline_object(
  100, 50, 100,
  covariates = baseline_covariates(
    names = "age", means_int = 55,
    covariance_int = covariance_matrix(5)
  )
)
set_transformations(baseline, age_scaled = function(data) scale(data$age))
#> Baseline Data Simulation Object
#>   N internal treated:  100 
#>   N internal control:  50 
#>   N external control:  100 
#> 
#> Covariates: 
#> [[1]]
#>  covariate means_internal means_external
#>        age             55             55
#> 
#> Covariance Matrices
#> Internal   External
#>     age        age 
#> age   5    age   5 
#> 
#> Transformations: 
#>    age_scaled