fmi (version 0.1.7)

simulate_fmi_data: Simulate FMI Data

Description

Generates functional data for two groups with optional differences in latent means or scalar intercepts.

Usage

simulate_fmi_data(
  N_A = 50,
  N_B = 50,
  T_points = 51,
  mean_shift = 0,
  scalar_shift = 0,
  eigenvalues = c(4, 1, 0.5, 0.1),
  noise_sd = 0.5,
  seed = NULL
)

Value

A list with Y_mat, group_vec, and argvals.

Arguments

N_A

Sample size for Group A (default: 50).

N_B

Sample size for Group B (default: 50).

T_points

Number of time points (default: 51).

mean_shift

A shift added to FPC 1 scores for Group B (default: 0).

scalar_shift

A shift added to the mean function for Group B (default: 0).

eigenvalues

A vector of eigenvalues for FPCs (default: c(4, 1, 0.5, 0.1)).

noise_sd

Standard deviation of measurement error (default: 0.5).

seed

Optional. A random seed for reproducibility.

Examples

sim_data <- simulate_fmi_data(N_A = 10, N_B = 10, T_points = 20, seed = 123)
str(sim_data)