Comments (1)
I found that there is an example in the mediate pagacke:
library(lme4)
library(mediation)
data("school", package = "mediation")
data("student", package = "mediation")
med.fit <- lm(smorale ~ free , data = school)
out.fit <- lmer(late ~ free + smorale + (1 | SCH_ID), data = student)
med.out <- mediate(med.fit, out.fit, treat = "free", mediator = "smorale", control.value = 3, treat.value = 4, sims = 100)
summary(med.out)
I just made sure that my data looked as similar as possible to the example. It is difficult to say what change did the trick, but here are a few things that I noticed:
- my group was not properly converted to an integer. I made sure that the values were 0 for the control and 1 for the intervention group
- I was using the
subset
parameter of lm. In the example, I used unique() to make it clear, but subset parameter definitely does not work
from mediation.
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from mediation.