generate_data: generate_data

In silp: Conditional Process Analysis (CPA) via SEM Approach

generate_data

Description

Generates data based on the simulation settings provided by Cheung et al. (2021). Note that the reliability used here is omega.

Usage

generate_data(
  n_obs = 100,
  corr = 0.3,
  effect = 0.42,
  ld = c(1, 1, 1, 1),
  alp = 0.9,
  effect_x = 0.4,
  effect_z = 0.2
)

Arguments

n_obs	Integer. The number of observations.
corr	Numeric. The correlation of the latent variables.
effect	Numeric. The effect of the moderator.
ld	Numeric. The factor loading of the latent variable to its indicators.
alp	Numeric. The reliability of the latent variable.
effect_x	Numeric. The direct effect of x.
effect_z	Numeric. The direct effect of z.

Value

A dataset simulated from the argument settings.

Examples

n_obs = 100
corr = 0.1
effect = 0.12
ld = c(1,1,1,1)
alp = 0.9
generate_data(n_obs, corr, effect, ld, alp)

silp documentation built on April 11, 2025, 6:18 p.m.