How can I create a legend informing that the red cross is the mean?
ggplot(results, aes(x=factor, y=proportionPositive)) +
geom_boxplot() +
stat_summary(fun.data = "mean_cl_normal", colour = "开发者_JAVA技巧red", shape=4)
Here is one way of doing it:
- Map an aesthetic to a shape, i.e. aes(shape="mean")
- Create a manual shape scale, i.e. scale_shape_manual()
# Create dummy data results <- data.frame( factor=factor(rep(1:10, 100)), proportionPositive=rnorm(1000)) # Plot results ggplot(results, aes(x=factor, y=proportionPositive)) + geom_boxplot() + stat_summary(fun.data = "mean_cl_normal", aes(shape="mean"), colour = "red", geom="point") + scale_shape_manual("", values=c("mean"="x"))
for me option "show.legend=TRUE" simply did work out:
ggplot(aes(x=stimulus, y=EPN, fill=strategy))+
stat_summary(fun.data=mean_se, show.legend=TRUE, geom="bar", position="dodge", colour="black", linetype="solid", size=0.3)
To make it appear like a default legend (borrowing from @Andrie code):
ggplot(results, aes(x=factor, y=proportionPositive)) +
geom_boxplot() +
stat_summary(fun.data = "mean_cl_normal",
aes(shape=""), # Leave empty
colour = "red",
geom="point") +
scale_shape_manual("mean", values= "") # Will show mean on top of the line
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