How to add percentage or count labels above percentage bar plot?

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Staying within ggplot, you might try

ggplot(test, aes(x= test2,  group=test1)) + 
  geom_bar(aes(y = ..density.., fill = factor(..x..))) +
  geom_text(aes( label = format(100*..density.., digits=2, drop0trailing=TRUE),
                 y= ..density.. ), stat= "bin", vjust = -.5) +
  facet_grid(~test1) +
  scale_y_continuous(labels=percent)

For counts, change ..density.. to ..count.. in geom_bar and geom_text

UPDATE for ggplot 2.x

ggplot2 2.0 made many changes to ggplot including one that broke the original version of this code when it changed the default stat function used by geom_bar ggplot 2.0.0. Instead of calling stat_bin, as before, to bin the data, it now calls stat_count to count observations at each location. stat_count returns prop as the proportion of the counts at that location rather than density.

The code below has been modified to work with this new release of ggplot2. I’ve included two versions, both of which show the height of the bars as a percentage of counts. The first displays the proportion of the count above the bar as a percent while the second shows the count above the bar. I’ve also added labels for the y axis and legend.

  library(ggplot2)
  library(scales)
#
# Displays bar heights as percents with percentages above bars
#
    ggplot(test, aes(x= test2,  group=test1)) + 
    geom_bar(aes(y = ..prop.., fill = factor(..x..)), stat="count") +
    geom_text(aes( label = scales::percent(..prop..),
                   y= ..prop.. ), stat= "count", vjust = -.5) +
    labs(y = "Percent", fill="test2") +
    facet_grid(~test1) +
    scale_y_continuous(labels=percent)
#
# Displays bar heights as percents with counts above bars
#
    ggplot(test, aes(x= test2,  group=test1)) + 
    geom_bar(aes(y = ..prop.., fill = factor(..x..)), stat="count") +
    geom_text(aes(label = ..count.., y= ..prop..), stat= "count", vjust = -.5) +
    labs(y = "Percent", fill="test2") +
    facet_grid(~test1) +
    scale_y_continuous(labels=percent)

The plot from the first version is shown below.

enter image description here

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