Closed tjebo closed 1 year ago
Hi Tjebo!
To be honest, I don't really recall why I've chosen it to be like this. Thinking back, I think it might have something to do that people might, in some weird specific circumstance, have need of the 0
level. For example if you want the colour to depend on the sign:
library(ggh4x)
#> Loading required package: ggplot2
df <- data.frame(
x= 1:5,
ymin = c(1,2,2,2,3),
ymax = c(3,2,2,2,1)
)
ggplot(data = df, aes(x)) +
stat_difference(
aes(
ymin = ymin,
ymax = ymax,
colour = after_scale(fill)
)
)
Created on 2022-11-24 by the reprex package (v2.0.1)
You're right that this is probably a rare use case, and now I'm wondering if I should add a drop_equal
argument that defaults to TRUE
, to get rid of the 0
in most cases.
With regards to the NA1
and NA2
levels, I just figured that something must represent missing levels and I wasn't quite sure what. If you have a good idea about how missing levels should be handled, I'd be glad to hear it!
Best, Teun
Hi Teun. I ran across this slightly odd behaviour and don't really know what to make of it. I guess it's no bug, but just curious as to the whys and wherefores. No worries if you have no time to answer, I just felt like documenting the question. When specifying the levels in
stat_difference
, why is it showing "NA1" and "NA2"? To me, a missing value is a missing value, and giving it a level kind of gives it some importance that it might not have.Of another conceptual note, I am not sure about the meaning of "0" in the fill scale - there will never be a fill in this case, right?? (correct me if I am wrong!) So why representing it in the scale (in blue)?
Created on 2022-11-24 with reprex v2.0.2