Reputation: 747
I am having some trouble with ggplot
and stat_summary
.
Please consider following data:
head(mtcars)
data<-mtcars
data$hp2<-mtcars$hp+50
Please consider following code:
ggplot(mtcars, aes(x = cyl, y = hp)) +
stat_summary(aes(y = hp, group = 1), fun.y=mean, colour="red", geom="line",group=1) +
stat_summary(fun.y=mean, colour="red", geom="text", show_guide = FALSE, vjust=-0.7, aes( label=round(..y.., digits=0)))
The code will produce line plot with means of hp and text labels for means ans well. If we would like to add another line/curve we simply have to add:
ggplot(mtcars, aes(x = cyl, y = hp)) +
stat_summary(aes(y = hp, group = 1), fun.y=mean, colour="red", geom="line",group=1) +
stat_summary(fun.y=mean, colour="red", geom="text", show_guide = FALSE, vjust=-0.7, aes( label=round(..y.., digits=0)))+
stat_summary(aes(y = hp2), fun.y=mean, colour="blue", geom="line",group=1)
Now comes the tricky part:
How to use stat_summary
with geom="text"
but for the hp2 i.e. how to technically force stat_summary
to calculate means on hp2 and print the text labels? It seems that I can only use it for the "main" y
.
Upvotes: 0
Views: 455
Reputation: 76402
This type of problem, that asks for graphs of related vector columns, is almost always a wide-to-long data format reshaping problem.
library(ggplot2)
data_long <- reshape2::melt(data[c('cyl', 'hp', 'hp2')], id.vars = 'cyl')
head(data_long)
ggplot(data_long, aes(x = cyl, y = value, colour = variable)) +
stat_summary(fun.y = mean, geom = "line", show.legend = FALSE) +
stat_summary(fun.y = mean, geom = "text", show.legend = FALSE, vjust=-0.7, aes( label=round(..y.., digits=0))) +
scale_color_manual(values = c("red", "blue"))
Upvotes: 2