Here is an example using the iris dataset: data(iris) ggplot(iris, aes(x=Sepal. Length, y=Sepal. Width)) + geom_point(aes(shape=Species, colour=Petal.
Width)) + scale_colour_gradient() + labs(shape="Species label", colour="Petal width label") You specify the labels using labs(), with each scale separately specified, i.e. Labs(shape="Species label", colour="Petal width label").
1 You can specify the labs in via scale() too ggplot(iris, aes(x=Sepal. Length, y=Sepal. Width)) + geom_point(aes(shape=Species, colour=Petal.
Width)) + scale_colour_gradient("Petal width label") + scale_shape("Species label") – Thierry Aug 2 at 11:45 Thank you, Its working. I have a further question: I have many entrys in code (see my example), so in the plot there are many colors. Now, for example I want color only "approach z" black, and leave the other unchanged (they are colored automatically).
For this, the following code doesn´t work: + scale_colour_manual(values = c("approach z" = "black")) – pmuench Aug 2 at 11:52 @pmuench Have a look at the examples in the documentation for scale_manual at had.co. Nz/ggplot2/scale_manual. Html – Andrie Aug 2 at 11:59 @Andrie I have, but they replace all of the colors.
I want only replace one and leave the other (automatic colored) unchanged. – pmuench Aug 2 at 12:10 1 That question has been asked before: stackoverflow. Com/questions/6075140/… – Andrie Aug 2 at 12:42.
If I understood your point correctly, you can simply use + labs(shape = "shape legend title", colour = "colour legend title").
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