Generated from a simple mediation model, n = 200, two groups,
n = 100 each.
A data frame with 500 rows and four variables:
- gp
gp, the grouping variable
- x
x, the independent variable
- m
m, the mediator
- y
y, the dependent variable
Details
This model is used for examples like this one:
library(lavaan)
mod <- "m ~ x
y ~ m"
fit <- sem(mod, simple_med_mg, gp = "group")
summary(fit)
Examples
print(head(simple_med_mg), digits = 3)
#> gp x m y
#> 1 gp1 -0.345 7.28 -5.64
#> 2 gp1 -0.366 -5.45 -4.53
#> 3 gp1 -0.829 -7.02 -7.82
#> 4 gp1 -0.339 4.37 1.56
#> 5 gp1 -0.963 -4.02 -7.29
#> 6 gp1 -1.075 -11.54 -4.15
nrow(simple_med_mg)
#> [1] 200
table(simple_med_mg$gp)
#>
#> gp1 gp2
#> 100 100
