I am trying to add labels with the mean age of the males and females on this boxplot for 2 groups. So far I was only able to do it by group but not by gender and group.
My data frame:
Age=c(60, 62, 22, 24, 21, 23)
Sex=c("f", "m", "f","f","f","m")
Group=c("Old", "Old", "Young", "Young", "Young", "Young")
aging<-data.frame(Age, Sex, Group)
And the command for the plot:
ggplot(data=aging, aes(x=Group, y=Age))+geom_boxplot(aes(fill=Sex))
+geom_text(data =aggregate(Age~Group,aging, mean),
aes(label =round(Age,1), y = Age + 3), size=6)
You should probably save the aggregate data on a separate object for clarity and use position=position_dodge()
in the geom_text()
options:
aging.sum = aggregate(Age ~ Group + Sex, aging, mean)
ggplot(data=aging, aes(x=Group, y=Age, fill=Sex)) +
geom_boxplot(position=position_dodge(width=0.8)) +
geom_text(data=aging.sum, aes(label=round(Age,1), y = Age + 3),
size=6, position=position_dodge(width=0.8))
Play with the width
till you are satisfied with the results. Notice that I put fill=Sex
in the global aes
definition so it applies to the text labels as well.
Edit: On @user20650 suggestion added position_dodge()
to geom_boxplot()
for proper alignment.
If you are wanting the mean age for gender and group then gender need to be in the aggregate statement.
Example - is this what you want?
p <- ggplot(data=mtcars, aes(x=factor(vs), y=mpg, fill=factor(am))) +
geom_boxplot(position = position_dodge(width=0.9))
a <- aggregate(mpg ~ vs + am , mtcars, function(i) round(mean(i)))
p + geom_text(data = a, aes(label = mpg),
position = position_dodge(width=0.9))
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