MHPCA_simulation_within_group_test: MHPCA Simulation for Group-Level Inference

In dsenturk/mhpca: Multilevel Hybrid Principal Components Analysis

Description

Function for simulating data for group-level inference as described in the supplementary materials.

Usage

MHPCA_simulation_within_group_test(
  sig_eps,
  n_d,
  J,
  D,
  num_reg,
  num_time,
  missing_level = FALSE,
  test_group,
  test_region,
  delta
)

Arguments

sig_eps	error standard deviation (scalar)
n_d	group sample size (scalar)
J	number of repetitions per subject (scalar)
D	number of groups (scalar)
num_reg	number of regions (scalar)
num_time	number of functional points (scalar)
missing_level	allow for missing repetitions (logical)
test_group	test group (scalar)
test_region	test region (scalar)
delta	tuning parameter (scalar)

Value

A list with the simulated components.

• mu - The simulated mean function

• eta - The simulated group-region-repetition shift from the mean

• v_k - The simulated level 1 eigenvectors

• phi_l - the simulated level 1 eigenfunctions

• lambda_kl - The simulated level 1 eigenvalues

• v_p - The simulated level 2 eigenvectors

• phi_m - The simulated level 2 eigenfunctions

• lambda_pm - The simulated level 2 eigenvalues

• xi - The simulated subject-specific scores

• zeta - The simulated subject/repetition-specific scores

• data - The simulated dataframe with columns for

• sig_eps - The simulated measurement error variance

dsenturk/mhpca documentation built on Dec. 20, 2021, 2:11 a.m.