Function on Scalar Regression with Complex Survey Designs

Code to accompany manuscript

Preprint

R package

Guide to repository:

R

• 00_data_gen_function_ff.R: generate functional survey data
• 00_data_gen_function_fast.R: generate functional survey data for 1440 simulation (faster for big data)
• 01_sim_functions.R: functions for running simulation
• 02a_run_sim_nonsurvey.R: run non-survey simulation
• 02b_process_nonsurvey_sim_results.R: process results from non-survey sim
• 03a_get_population_mean.R: get population means for results processing in simulation
• 03b_run_sim_ff.R: run simulation
• 03c_process_survey_sim_results.R: process results from survey sim
• 04a_run_sim_empirical_1440.R: run empirical simulation based on NHANES data
• 04b_process_empirical_1440_sim_results.R: process results from empirical sim
• 05a_process_pa_data.R: process NHANES PA data for application
• 05b_application_1440.R: run application to real data
• 06a_run_mfpca_nhanes.R: run MFPCA on NHANES data
• 06b_run_mfpca_sim.R: run MFPCA on simulated data
• 06c_process_mfpca_sim_results.R: process results from MFPCA sim
• 07_tables_and_figures.R: tables and figs for manuscript
• benchmark.R: comparing sped-up GLMS vs original GLMS
• utils.R: helpful functions for cluster
• create_survey_settings.R: create settings for survey sim
• create_nonsurvey_settings.R: create settings for non-survey sim

data

• steps_covariates.rds: data needed for empirical simulation and application

results/simulations

• all_empirical_sim_res.rds: results from empirical simulation
• all_survey_res.rds: results from survey simulation
• all_nonsurvey_sim_res.rds: results from non-survey simulation

vignettes

• Analytical_Sim.qmd: quarto document describing analytical simulation
• Analytical_Simulation_Appendix.html: HTML describing simulation, for manuscript
• Analytical_Simulation_Appendix.qmd: quarto document to generate above html

pipeline.sh: bash code for running on cluster