Nothing
Code
print(simulate_regression(n = 3, seed = 1))
Output
<simulab_sim:regression> 3 rows x 4 columns
id x1 x2 outcome
1 1 -0.8356286 -0.8204684 -0.8523470
2 2 1.5952808 0.4874291 -0.2964044
3 3 0.3295078 0.7383247 1.5366336
Truth (coefficients):
term coefficient
1 (Intercept) -0.63
2 x1 0.15
3 x2 0.82
Other tables: effects, predictor_correlation. Read one with as.data.frame(x, what = "effects").
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