I'm trying to get the interaction plot for my regression analysis. I already tested the regression. It's fine. Here's the code:
plot(data$ocs, data$efs, pch=19)
abline(lm(data$efs~data$ocs))
model1 <- lm(efs ~ ocs * rws, data = data)
summary(model1)
interact_plot(model=model1, pred = ocs, modx = rws, data = data)
Now everything works except interact_plot. I get back following error message:
Error in element_line(colour = text_and_line_color, linewidth = 0.5, linetype = 1, :
unused argument (linewidth = 0.5)
What does this even mean?
interact_plot is a function from interactions!
rws = c(3.8, 3.8, 4.4, 3.2, 4, 3.8, 4.2, 4.6, 4.4, 3, 3.6, 3.4, 3.8, 4, 3.4,
4, 2.2, 4, 3.4, 4, 2.8, 3, 3, 4.2, 3, 3.6, 3.8, 3.8, 3, 3.8,
3.4, 3.2, 3.4, 3.4, 3.8, 4, 3.2, 3, 4.6, 4, 3.4, 3, 2.8, 3.8,
3.8, 3.6, 2.8, 3.8, 4.6, 3, 3.8, 3.8, 3.4, 3.8, 2.4, 2.4, 4.2,
3.6, 2.6, 3.6, 2.4, 3.2, 4, 4.2, 3.4, 3.2, 3.8, 4.8, 3.6, 4,
3, 3.4, 4.2, 4.4, 3.8, 4.2, 4, 3.6, 4.4, 4, 3, 4.6, 4.4, 4, 3.4,
4, 3.8, 4.8, 3.4, 3.4, 3.8, 3.8, 3.6, 3.6, 4.6, 3.6, 3.6, 2.6,
2.8, 4.6, 4, 3.4, 3.8, 3.8, 3.6, 3, 3.2, 2.8, 3.6, 3.6, 3.4,
3.6, 2.2, 4.2, 3.6, 3.8, 3.4, 3.8, 4.4, 2.4, 2, 3.4, 4.2, 3.2,
3.2, 3.2, 3, 3.6, 3.6, 2.8, 3.6, 2.8, 3.6, 4.4, 3, 3.6, 3.2,
4.8, 3.4, 3.8, 4.2, 3.2, 3.6, 3.8, 3.6, 3, 4, 3.8, 3.8, 4.2,
3.6, 4.4, 3.6, 3.4, 3.8, 4.4, 3.4, 3.4, 4, 4.2, 3.8, 3.6, 4,
4.6, 3.2, 4, 3.4, 3, 3.2, 3.8, 3.4, 3.4, 3, 4.8, 2.8, 3.6, 3,
4, 3.4, 2.8, 3.2, 3.4, 3.8, 3.2, 4.2, 3.2, 3.6, 3.4, 4.2, 3.8,
3.6, 4, 3.6, 3.4, 2.4, 4, 3.4, 3.6, 4, 3.4, 3.6, 3, 3.6, 3.6,
2.4, 3.6, 1, 3.6, 4.2, 3.2, 2.6, 3.8, 3.6, 3.6, 3.2, 3.2, 3.2,
3.6, 3, 4, 4, 3.2, 4.4, 3.4, 4.4, 3, 3.8, 3.6, 3.2, 3, 4.6, 4.8,
3, 4.2, 3, 3.4, 4, 3.2, 3.2, 4.2, 4.2, 3, 2.6, 2.8, 2.2, 3.8,
2.8, 3.8, 1.4, 3.8, 4.6, 3.8, 3.6, 4.2, 3.6, 3.4, 2.6, 3.8, 3.8,
3.8, 2.8, 3.8, 4.8, 3.6, 3.6, 3.6, 4, 3.4, 3.6, 3.2, 2.6, 3.2,
4, 3.4, 3.2, 4, 3, 4, 3.6, 3.4, 2.8, 3.2, 3, 3.4, 4.6, 3.4, 3.4,
3.4, 4.2, 2.8, 2.4)
efs = c(3.5, 3.75, 4, 3.75, 4.25, 3.5, 4.5, 2.5, 4.25, 2, 2.5, 3, 4.5,
2.25, 3.5, 3.5, 1.75, 4, 3, 2.75, 3.75, 3.5, 3.5, 2.25, 3, 2.25,
3.25, 2.5, 3.75, 2, 3.5, 2.75, 4.25, 3.5, 4, 2.5, 3, 4.5, 2.5,
3.75, 1.25, 3.75, 2.25, 3.25, 3, 4.75, 3.25, 5, 3.75, 3.5, 2.75,
3.75, 3.75, 3.25, 4, 2.75, 4.75, 2, 3.5, 3.5, 2.75, 1.75, 1.75,
3, 3, 3.5, 3.5, 2.25, 2.5, 2.25, 3.25, 3.75, 3, 4.25, 3.75, 4,
4.5, 3.75, 3.75, 4.25, 3.5, 3, 3, 2.75, 4, 3, 4.25, 3.25, 3.25,
3, 3.25, 2, 3.75, 2.5, 3.5, 4, 4, 3.25, 4.25, 4.75, 4, 4, 4.75,
3.75, 4, 4, 4, 3.5, 3.25, 4.25, 4.5, 3.75, 4, 4.5, 3.5, 2.75,
4, 3, 4, 3, 4, 4.5, 2.75, 4.25, 3.5, 4, 3.75, 3.75, 3.75, 4.25,
5, 4.75, 3.25, 2.5, 2.75, 3.5, 4, 2.75, 3.25, 3, 3, 3.75, 4,
3.75, 2.5, 3.75, 3.5, 4, 3.5, 2.5, 3.5, 2.75, 3.25, 2.75, 3,
3.5, 3, 4.25, 3, 3.25, 2.75, 4.75, 2.25, 4, 3.75, 3.75, 4.75,
3.25, 4, 3.75, 3.5, 3.75, 4.25, 4.25, 4.25, 3.75, 4, 3, 2.5,
4.25, 3.25, 4.25, 3.75, 3.75, 3.75, 3.5, 3.75, 4, 3.25, 2.75,
3.25, 4.25, 3, 3.25, 3, 3.75, 2.5, 2.75, 3.5, 3.5, 3.75, 4.75,
3.5, 3.5, 4, 3.5, 3.5, 3, 4, 3.5, 3.75, 4, 3.25, 3.5, 3.25, 4.25,
4.5, 3, 3, 4.75, 3, 3, 2.75, 3, 3.25, 3.25, 4.25, 4.25, 3.5,
4, 2.25, 4.5, 3.75, 4, 4, 3, 3.75, 2.5, 3.5, 3.5, 3.5, 4.25,
3.75, 4.25, 3.5, 2.75, 4, 3.25, 2.5, 4, 2.75, 2.5, 3, 2.5, 2.75,
4.5, 3.25, 3.25, 3.75, 3.75, 3.5, 2.5, 3.5, 2.75, 3.5, 3.5, 3.75,
4.5, 3, 3.25, 3.75, 4.5, 3.5, 3, 3.75, 4, 3.75, 4, 3.75, 3.75,
3, 3.75, 3.25, 4.5, 2.25, 3.25, 4, 3.75, 3.5, 2.75, 3.75)
ocs = c(2.8, 3.2, 3.4, 2, 2.6, 2.4, 2.6, 2.2, 3.6, 2.4, 2.2, 3.4, 2.8,
1.4, 2.8, 2, 1.8, 2.8, 2.6, 2.6, 2.8, 2.6, 3.6, 1.4, 2.8, 1.8,
2.6, 1.8, 3, 2, 2.6, 2.2, 3.6, 2.8, 3, 1.2, 2.8, 2.8, 2.8, 2.8,
2.6, 2.6, 1.8, 2, 2.2, 4.4, 3.2, 4.4, 3.8, 3.4, 2.8, 2.6, 2.6,
2.6, 2.8, 1.8, 4, 3.4, 2.6, 3.2, 2.8, 1.8, 1.2, 2, 2.4, 3.4,
2.2, 1.6, 2.6, 1.8, 2.4, 3.2, 2.6, 2.8, 2.8, 2.4, 3.2, 2.6, 2.8,
3.2, 3.4, 1.4, 1.6, 2, 3.2, 2.8, 3.6, 4, 2, 1.6, 2.8, 1.6, 2.6,
2.6, 3.4, 2.8, 3.4, 2.6, 3.4, 3, 3.8, 3, 4, 3.2, 3.4, 3.2, 4.4,
2.8, 3.2, 3.4, 4, 2, 3.8, 2.8, 2.8, 2.2, 3.4, 2.2, 3, 2.4, 3,
3.2, 2, 1.8, 3, 2.2, 3.4, 3.6, 3.6, 3.2, 4.2, 3.6, 3, 2.6, 2.4,
3.6, 4.2, 1.6, 3.4, 2.6, 3, 2.6, 4, 2.2, 2.8, 3.4, 1.8, 3.4,
2, 2.6, 2.6, 2.6, 3, 1.8, 2.2, 2.6, 3, 3.4, 3.6, 1.6, 1.8, 4,
2.4, 2.6, 2.6, 2.6, 3.6, 3, 3.8, 2.6, 3, 3.2, 4.6, 3.8, 2.8,
2.6, 3.8, 2.2, 2.8, 3.2, 3.4, 3.4, 2.6, 1.4, 2.4, 2.8, 3.4, 2.6,
2.8, 2.4, 2.6, 2.2, 3.2, 2.4, 2.6, 3, 2.4, 2.8, 3.2, 3, 3.6,
4, 2.6, 3.2, 4, 2.8, 0, 3, 3.2, 3, 3.4, 3.2, 2.4, 2.2, 3, 3,
3.6, 2.6, 2.8, 3.6, 2.4, 2.2, 2.4, 2.6, 2.8, 1.8, 3.2, 2.6, 3.4,
3, 2.2, 4, 3, 3.6, 4.2, 1.8, 2.8, 2.4, 1.8, 3.4, 3.4, 3.8, 2.6,
3.6, 2.4, 2, 3.4, 3.4, 0, 2.8, 2.4, 1.4, 2.8, 2.2, 2.4, 3.4,
3.2, 1.8, 2, 3.8, 3.4, 1.8, 2, 2.6, 2.6, 3.4, 3.8, 3.6, 2.8,
3.2, 3.4, 3.2, 2.4, 2.6, 3, 3.2, 3, 2.4, 3.4, 3.6, 3.6, 3, 3.6,
4, 2.2, 2.8, 2.8, 3.2, 2.2, 1.6, 3.4)