library(interactions) iris$Sepal.Length_c <- scale(iris$Sepal.Length, center = TRUE, scale = FALSE) iris$Sepal.Width_c <- scale(iris$Sepal.Width, center = TRUE, scale = FALSE) fit <- lm(Petal.Length ~ Sepal.Length_c * Sepal.Width_c, iris) interact_plot(fit, pred = Sepal.Length_c, modx = Sepal.Width_c) #> Error: variables 'Sepal.Length_c', 'Sepal.Width_c' were specified with different types from the fit
However this doesn't happen with sim_slopes or johnson_neyman.
sim_slopes(fit, pred = Sepal.Length_c, modx = Sepal.Width_c) #> JOHNSON-NEYMAN INTERVAL #> #> When Sepal.Width_c is OUTSIDE the interval [-10.36, -2.05], the slope of #> Sepal.Length_c is p < .05. #> #> Note: The range of observed values of Sepal.Width_c is [-1.06, 1.34] #> #> SIMPLE SLOPES ANALYSIS #> #> Slope of Sepal.Length_c when Sepal.Width_c = -0.44 (- 1 SD): #> #> Est. S.E. t val. p #> ------ ------ -------- ------ #> 1.53 0.10 14.78 0.00 #> #> Slope of Sepal.Length_c when Sepal.Width_c = 0.00 (Mean): #> #> Est. S.E. t val. p #> ------ ------ -------- ------ #> 1.75 0.06 27.64 0.00 #> #> Slope of Sepal.Length_c when Sepal.Width_c = 0.44 (+ 1 SD): #> #> Est. S.E. t val. p #> ------ ------ -------- ------ #> 1.97 0.09 21.75 0.00 johnson_neyman(fit, pred = Sepal.Length_c, modx = Sepal.Width_c) #> JOHNSON-NEYMAN INTERVAL #> #> When Sepal.Width_c is OUTSIDE the interval [-10.36, -2.05], the slope of #> Sepal.Length_c is p < .05. #> #> Note: The range of observed values of Sepal.Width_c is [-1.06, 1.34]
Created on 2020-03-13 by the reprex package (v0.3.0)
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