I have this code
ggplot()
+ geom_histogram(aes(x=V1, y=(..count..)/sum(..count..)), fill=\"red\", alpha=.4, colour=\"red\", data=coding, stat = \"bin\", binw
The problem is that you can't map your color into aes because you've got two separete sets of data. An idea is to bind them, then to apply the "melt" function of package reshape2 so you create a dummy categorical variable that you can pass into aes. the code:
require(reshape2)
df=cbind(blue=mtcars$mpg, red=mtcars$mpg*0.8)
df=melt(df, id.vars=1:2)
ggplot()+geom_histogram(aes(y=(..count..)/sum(..count..),x=value, fill=Var2, color=Var2), alpha=.4, data=df, stat = "bin")
There you've got your legend
If you don't want to put the data in one data.frame, you can do this:
set.seed(42)
coding <- data.frame(V1=rnorm(1000))
lncrna <- data.frame(V1=rlnorm(1000))
library(ggplot2)
ggplot() +
geom_histogram(aes(x=V1, y=(..count..)/sum(..count..), fill="r", colour="r"), alpha=.4, data=coding, stat = "bin") +
geom_histogram(aes(x=V1,y=(..count..)/sum(..count..), fill="b", colour="b"), alpha=.4, data=lncrna, stat = "bin") +
scale_colour_manual(name="group", values=c("r" = "red", "b"="blue"), labels=c("b"="blue values", "r"="red values")) +
scale_fill_manual(name="group", values=c("r" = "red", "b"="blue"), labels=c("b"="blue values", "r"="red values"))