insample_sim_hh2: Hopkins Hybrid 1: Run a simulation and then perform...

In swihart/wfpca: weighted functional prinicpal components analysis

Description

This function comes after many months of running readme_sim and talks with Bryan Lau on what we need to demonstrate for the method.

Usage

insample_sim_hh2(sim_seed = 101, sample_size = 1000, sim_slope = 100,
  sim_intercept = 12, sim_ses_coef = 0.01, sim_age_coef = 0.01,
  censoring_coef = 1, hh_rds = "./data_local/hopkins_hybrid.RDS",
  hh_rds_simplog = "./data_local/hopkins_hybrid_prob_ltfu_coeffs.RDS",
  hh_rds_long = "./data_local/hopkins_hybrid_long.RDS")

Arguments

sim_seed	passed to set.seed()
sample_size	(defaults to 1000) and must be a multiple of 100
sim_slope	see slope in calculate_ses()
sim_intercept	see intercept in calculate_ses()
sim_ses_coef	see ses_coef in apply_censoring()
sim_age_coef	see age_coef in apply_censoring()
censoring_coef	used to multiply the prob.cens from the simplog in hh2 runs. Default value is 1. will try 0.95 and 1.05 for range.
hh_rds	the path in single quotes to the local copy of hopkins_hybrid.RDS

Value

results a data frame with rmse for each approach for that simulated dataset

Examples

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swihart/wfpca documentation built on May 30, 2019, 10:38 p.m.