I am attempting to overlay two different plots. One is geom_boxplot
, the other geom_jitter
. I would like each to have its own color scale. But when I add the second color scale, I am given the error
"Scale for 'fill' is already present. Adding another scale for 'fill',
which will replace the existing scale."
I am assuming I am doing something wrong. Any advice would be appreciate
This is a rough example of my working code:
P <- ggplot(dat) +
geom_boxplot(aes(x=ve, y=metValue, fill=metric), alpha=.35, w=0.6, notch=FALSE, na.rm = TRUE) +
scale_fill_manual(values=cpalette1) +
geom_hline(yintercept=0, colour="#DD4466", linetype = "longdash") +
theme(legend.position="none")
P + geom_jitter(dat2, aes(x=ve, y=metValue, fill=atd),
size=2, shape=4, alpha = 0.4,
position = position_jitter(width = .03, height=0.03), na.rm = TRUE) +
scale_fill_manual(values=cpalette2)
dat
and dat2
have the same schema, but different values.
I found several examples addressing overlaying graphs but none that appeared to address this specific concern.
First, made two sample data frames with the same names as in example.
dat<-data.frame(ve=rep(c("FF","GG"),times=50),
metValue=rnorm(100),metric=rep(c("A","B","D","C"),each=25),
atd=rep(c("HH","GG"),times=50))
dat2<-data.frame(ve=rep(c("FF","GG"),times=50),
metValue=rnorm(100),metric=rep(c("A","B","D","C"),each=25),
atd=rep(c("HH","GG"),times=50))
I assume that you do not need to use argument fill=
in the geom_jitter()
because color for shape=4
can be set also with colour=
argument. Then you can use scale_colour_manual()
to set your values. Instead of cpallete
just used names of colors.
P <- ggplot(dat) +
geom_boxplot(aes(x=ve, y=metValue, fill=metric), alpha=.35, w=0.6, notch=FALSE, na.rm = TRUE) +
geom_hline(yintercept=0, colour="#DD4466", linetype = "longdash") +
scale_fill_manual(values=c("red","blue","green","yellow"))+
theme(legend.position="none")
P + geom_jitter(data=dat2, aes(x=ve, y=metValue, colour=atd),
size=2, shape=4, alpha = 0.4,
position = position_jitter(width = .03, height=0.03), na.rm = TRUE) +
scale_colour_manual(values=c("red","blue"))