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POCondition a ..count.. summation on the faceting variable
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copied!<p>I'm trying to annotate a bar chart with the percentage of observations falling into that bucket, <em>within</em> a facet. This question is very closely related to this question: <a href="https://stackoverflow.com/questions/3695497/ggplot-showing-instead-of-counts-in-charts-of-categorical-variables">Show % instead of counts in charts of categorical variables</a> but the introduction of faceting introduces a wrinkle. The answer to the related question is to use stat_bin w/ the text geom and then have the label be constructed as so: </p> <pre><code> stat_bin(geom="text", aes(x = bins, y = ..count.., label = paste(round(100*(..count../sum(..count..)),1), "%", sep="") ) </code></pre> <p>This works fine for an un-faceted plot. However, with facets, this sum(..count..) is summing over the entire collection of observations without regard for the facets. The plot below illustrates the issue---note that the percentages do not sum to 100% within a panel. </p> <p><img src="https://i.stack.imgur.com/AZZ3Q.png" alt="enter image description here"></p> <p>Here the actually code for the figure above: </p> <pre><code> g.invite.distro <- ggplot(data = df.exp) + geom_bar(aes(x = invite_bins)) + facet_wrap(~cat1, ncol=3) + stat_bin(geom="text", aes(x = invite_bins, y = ..count.., label = paste(round(100*(..count../sum(..count..)),1), "%", sep="") ), vjust = -1, size = 3) + theme_bw() + scale_y_continuous(limits = c(0, 3000)) </code></pre> <p>UPDATE: As per request, here's a small example re-producing the issue: </p> <pre><code>df <- data.frame(x = c('a', 'a', 'b','b'), f = c('c', 'd','d','d')) ggplot(data = df) + geom_bar(aes(x = x)) + stat_bin(geom = "text", aes( x = x, y = ..count.., label = ..count../sum(..count..)), vjust = -1) + facet_wrap(~f) </code></pre> <p><img src="https://i.stack.imgur.com/id1UY.png" alt="enter image description here"></p>

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