Generate Simulated Endpoint Data for Parallel Group Design

Generate simulated endpoint data for a parallel design, with options for normal and lognormal distributions.

simParallelEndpoints(
  n,
  mu.arithmetic,
  mu.geometric = NULL,
  Sigma,
  CV = NULL,
  seed,
  dist = "normal"
)

Arguments

n: Integer. The sample size for the generated data.
mu.arithmetic: Numeric vector. The arithmetic mean of the endpoints on the original scale.
mu.geometric: Numeric vector. The geometric mean of the endpoints on the original scale. Only used if dist = "lognormal".
Sigma: Matrix. Variance-covariance matrix of the raw data on the original scale. If dist = "lognormal", this matrix is transformed to the log scale.
CV: Numeric vector. Coefficient of variation (CV) of the raw data. Only used when dist = "lognormal", where it is transformed to the log scale.
seed: Integer. Seed for random number generation, ensuring reproducibility.
dist: Character. Assumed distribution of the endpoints: either "normal" or "lognormal".

A matrix of simulated endpoint values for a parallel design, with dimensions n by the number of variables in mu.arithmetic or mu.geometric.