lmi_simul_dat: Simulate data from linear model with interactions
In CompMix: A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix')

View source: R/environment_mix_lib_package.R

lmi_simul_dat

R Documentation

Simulate data from linear model with interactions

Description

Simulate data from linear model with interactions

Usage

lmi_simul_dat(
  n,
  p,
  q,
  block_idx = c(1, 1, 2, 2, 3, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3),
  sigma2_x = 1,
  within_rho = 0.6,
  btw_rho = 0.2,
  R2 = 0.8,
  effect_size = 1,
  effect_size_i = 1,
  cancel_effect = TRUE
)

Arguments

`n`	a positive integer to indicate sample size
`p`	a positive integer to specify the number of exposures
`q`	a positive integer to specify the number of non-zero effects
`block_idx`	a vector of positive integers to indicate the block IDs. The length of the vector is p.
`sigma2_x`	a positive numeric scalar for variance of the covariates
`within_rho`	a numeric scalar between 0 and 1 for the within block correlation
`btw_rho`	a numeric scalar between 0 and 1 for the between block correlation
`R2`	a numeric scalar for R-squared
`effect_size`	a numeric scalar for effect size for main effect
`effect_size_i`	a numeric scalar for effect size for interaction effect
`cancel_effect`	a logic value to indicate whether there is effect cancelation