q1 <- qplot(factor(Q1), data=survey, geom="histogram", fill=factor(Q1), ylim=c(0,300))
options(digits=2)
q1 + geom_bar(colour="black") +
stat_bin(aes(label=..count..), vjust=-2, geom="text", position="identity") +
stat_bin(geom="text", aes(label=paste(..count../sum(..count..)*100,"%"), vjust=-0.75)) +
labs(x="Question # 1:\n 0 = Didn't respond, 1 = Not at all familiar, 5 = Very familiar") +
opts(title="Histogram of Question # 1:\nHow familiar are you with the term 'Biobased Products'?",
legend.position = "none",
plot.title = theme_text(size = 16, , vjust = 1, face = "bold"),
axis.title.x =theme_text(size=14), axis.text.x=theme_text(size=12),
axis.title.y=theme_text(size=14, angle=90), axis.text.y=theme_text(size=12))
As you can see I'm getting way more digits than what is needed, I was hoping the options(digits=2) would do it but I guess not. Any ideas?
Actually you are very close to there.
Here is a minimal example:
df <- data.frame(x = factor(sample(5, 99, T)))
ggplot(df, aes(x)) +
stat_bin(aes(label = paste(sprintf("%.02f", ..count../sum(..count..)*100), "%")),
geom="text")
also, format
, round
, prettyNum
, etc, is available.
UPDATED:
Thanks to @Tommy 's comment, here si a more simple form:
ggplot(df, aes(x)) +
stat_bin(aes(label = sprintf("%.02f %%", ..count../sum(..count..)*100)),
geom="text")
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