Hello,
I believe you'll have to do some data aggregation first. The following
will do it.
dat2 <- merge(sample.dat, aggregate(value ~ pop, data = sample.dat, FUN
= sum), by = "pop")
dat2$value.x <- dat2$value.x/dat2$value.y
test<-ggplot(dat2, aes(x=response.category,y=value.x, group=pop))
test+geom_bar(stat='identity', position='dodge',aes(fill=pop))
Hope this helps,
Rui Barradas
Em 10-09-2013 17:23, Simon Kiss escreveu:
Hi there:
I have a sample data set that looks like below. The variable 'value'
represents the counts of cases in each response category. And I would like to
get the barchart to graph the number of responses as a percentage of each total
*subpopulation* (Males compared to Females), rather than as a percentage of
*all* the responses.
Can someone provide a suggestion?
Thank you
Yours, Simon Kiss
#Sample Code
sample.dat<-data.frame(response.category=rep(c('A', 'B','C'), 2),
value=c(50,25,25, 25,25,25), pop=c(rep('Males', 3), rep('Females', 3)))
#Draw GGPLot
test<-ggplot(sample.dat, aes(x=response.category,y=value, group=pop))
test+geom_bar(stat='identity', position='dodge',aes(fill=pop))
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