readme_sim: Run a simulation as displayed in the readMe

In swihart/wfpca: weighted functional prinicpal components analysis

Description

Runs all the commands in the readMe to generate rmse for each method. Run several instances of this to do a "simulation study"

Usage

readme_sim(sim_seed = 101, sample_size = 1000, sim_slope = 100,
  sim_intercept = 12, sim_ses_coef = 0.01, sim_age_coef = 0.01)

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()

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.