how to have separated confidence intervals in ggplot2

Question

I have the following code in R.

df <- data.frame(Region = rep(1:3,3), education = rep(1:3,each =3),
                 mean = runif(9,0,1) , lo = runif(9, -1 , 0), 
                 up = runif(9, 1, 2))

ggplot(df, aes(Region, mean)) + geom_point(size=4) +
 geom_errorbar(aes(ymin = lo, ymax = up))

As you can see, the confidence intervals intersect each other. But, what I want is to have three different confidence interval beside each other separated by the variable education, and possibly with three different colors. The same way we separate bar graphs by another categorical variables

Thanks

Answer 1

A solution could be:

library(ggplot2)
set.seed(1)
df <- data.frame(Region = rep(1:3,3), education = rep(1:3,each =3),
                 mean = runif(9,0,1) , lo = runif(9, -1 , 0), 
                 up = runif(9, 1, 2))

df$RegEdu <- with(df, interaction(Region,  education), drop = TRUE )

ggplot(df, aes(x=RegEdu, y=mean, colour=factor(education), 
       pch=factor(Region))) + geom_point(size=4) +
       geom_errorbar(aes(ymin = lo, ymax = up))

EDIT. Using facet_grid you can group together error bars by education

ggplot(df, aes(x=Region, y=mean, colour=factor(education))) + 
       geom_point(size=4) +
       geom_errorbar(aes(ymin = lo, ymax = up))+
       facet_grid(.~education)