Generate Simulated Subjects

Usage

sampleSubjects(object, subjects_df)

# S3 method for class 'SimLongitudinalClaretBruno'
sampleSubjects(object, subjects_df)

# S3 method for class 'SimLongitudinalGSF'
sampleSubjects(object, subjects_df)

# S3 method for class 'SimLongitudinalRandomSlope'
sampleSubjects(object, subjects_df)

# S3 method for class 'SimLongitudinalSteinFojo'
sampleSubjects(object, subjects_df)

# S3 method for class 'SimSurvival'
sampleSubjects(object, subjects_df)

Arguments

object: (SimLongitudinal or SimSurvival) object to generate subjects from.
subjects_df: (data.frame) the subjects to generate observations for. See details.

Value

A data.frame containing simulated subject-level parameters.

Details

The subjects_df argument should be a data.frame with 1 row per desired subject to create with the following columns:

study (factor) the study identifier.
arm (factor) the treatment arm identifier.
subject (character) the subject identifier.

This method takes care of generating all the individual subject data required for the sampleObservations method to generate the observations.

Examples

subjects <- data.frame(study = factor("S"), arm = factor("A"), subject = "1")
sim <- SimLongitudinalRandomSlope(slope_mu = 0.01, slope_sigma = 0.5)
sampleSubjects(sim, subjects)
#>   study arm subject intercept slope_ind
#> 1     S   A       1        50  1.093206