sim_data: Simulate Data for Components Analysis
In kthorstmann/simcom: Simulate and Compute Component Analysis for 2-Level Data

Simulate Data for Components Analysis

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sim_data(n_pop = 1000, b_s = 0.26, b_e = 0.19, s_p = 0.14, b_p = 0.27,
  s_e = 0.25, p_e = 0.23, cor_bs_l1 = 0.2, l1_var = 2,
  l1_bs_sample = 50)

`n_pop`	The size of the population to simulate
`b_s`	The correlation between behavior and the situational variable on level-2, which determines the correlation of their counterparts on level-1.
`b_e`	The correlation between the stable environment e and the behavior b.
`s_p`	The correlation between the situational variable and the average behavior.
`b_p`	The correlation between the average behavior and personality.
`s_e`	The correlation between the situation and the stable environment
`p_e`	The correlation between the personality p and the environment e.
`cor_bs_l1`	The average correlation of behavior and situations on level-1, within person.
`l1_var`	The variance of the level-1 variables (the larger, the less accurate will the mean reflect the true score at fewer measurement occasions)
`l1_bs_sample`	The number of level-1 measurement occaisons that are sampled.