Plotting confidence intervals in ggplot

Question

I\'d like to do the following plot using ggplot:

Here is an

Answer 1

I suppose that sample data frame you provided isn't build in appropriate way because all values in group1 have class 1, and in group2 all are class 2. So I made new data frame, added also new column named replicate that shows number of replicate (four replicates (with two class values) in each group).

example.df = data.frame(mean = c(0.3,0.8,0.4,0.65,0.28,0.91,0.35,0.61,0.32,0.94,0.1,
                                0.9,0.13,0.85,0.7,1.3), 
                        std.dev = c(0.01,0.03,0.023,0.031,0.01,0.012,0.015,0.021,0.21,
                                  0.13,0.023,0.051,0.07,0.012,0.025,0.058),
                        class = c("1","2","1","2","1","2","1","2","1","2","1",
                                 "2","1","2","1","2"),
                        group = rep(c("group1","group2"),each=8),
                        replicate=rep(rep(1:4,each=2),time=2))

Now you can use geom_pointrange() to get points with confidence intervals and facet_wrap() to make plot for each group.

ggplot(example.df,aes(factor(replicate),
               y=mean,ymin=mean-2*std.dev,ymax=mean+2*std.dev,color=factor(class)))+
  geom_pointrange()+facet_wrap(~group)