You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In the past I asked you about how to run equivalence test for interaction effects. I talked to my stats professor here at Cornell and he suggested using emmeans in R. Here is the code (though it does not create nice plots like your package):
In the past I asked you about how to run equivalence test for interaction effects. I talked to my stats professor here at Cornell and he suggested using emmeans in R. Here is the code (though it does not create nice plots like your package):
categorical interaction equivalence test
summary(contrast(emmeans(lm1, c("x1", "x2"), weights = "equal"),
interaction = "consec"
), infer = TRUE, null=0, side="equivalence", delta=.1)
continuous interaction equivalence test
r1 <- ref_grid(lm1, at = list(x1 = c(0, 1), x2 = c(0, 1)))
summary(emmeans(r1,c("x1","x2"),contr = list(int=c(1,-1,-1,1))),infer=TRUE,null=0,delta=.1,side="equivalence")
The text was updated successfully, but these errors were encountered: