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Related to easystats/see#310 visualization_recipe() adds the alpha-aes, but it's mapped to a discrete scale, which yields a warning (and thus, some tests fail for see).
model<- lm(Petal.Length~Species* poly(Sepal.Width, 3), data=iris)
result<-modelbased::estimate_slopes(model, at= c("Sepal.Width", "Species"))
#> No numeric variable was specified for slope estimation. Selecting `trend = "Sepal.Width"`.
plot(result)
#> Warning: Using alpha for a discrete variable is not advised.
I really strongly think we should not map things to alpha. It is very inaccessible. We should use color, linewidth, or linetype instead
When I was teaching, students almost always assumed that something was broken or wrong when they got a plot using alpha mapping — it’s not an aesthetic people expect to see in the situations where we use it
Related to easystats/see#310
visualization_recipe()
adds the alpha-aes, but it's mapped to a discrete scale, which yields a warning (and thus, some tests fail for see).Created on 2023-10-12 with reprex v2.0.2
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