When plotting two regression curves using geom_smooth()
in ggplot2
, for the fill
color, the legend picks the one where the confidence intervals intersect. I do think this behaviour arises when the overlapping area is proportionally bigger that the other, however I find this quite undesired because the reader is capable of deducing that the "darkened" area is the one where the CI intersect. It is IMHO a bit harder or unintuitive to assign the same color for both the curves.
How can I correct this ?
MWE:
library(ggplot2)
p <- ggplot(data=iris, aes(x=Sepal.Width, y=Sepal.Length)) + geom_point()
p <- p + geom_smooth(method=loess, aes(colour="Loess"), fill="yellow")
p <- p + geom_smooth(method=lm, aes(colour="LM"))
print(p)
Output:
You can add the fill as an aesthetic mapping, ensuring you name it the same as the color mapping to get legends to merge:
library(ggplot2)
ggplot(data=iris, aes(x=Sepal.Width, y=Sepal.Length)) +
geom_point(aes(shape = "data")) +
geom_smooth(method=loess, aes(colour="Loess", fill="Loess")) +
geom_smooth(method=lm, aes(colour="LM", fill = "LM")) +
scale_fill_manual(values = c("yellow", "gray"), name = "model") +
scale_colour_manual(values = c("red", "blue"), name = "model") +
labs(shape = "")