How to draw this bar plot with precomputed statistics?

[Dejian Zhao]

I ran a program and got a count summary. Now I want to generate a figure
like the one produced with the following command:

ggplot(mtcars,aes(factor(cyl))) + geom_bar(aes(fill=factor(vs)),
position="fill")

The only difference between my own data and the above example is that I
got the count summary from another program. It is mentioned in Hadley's
book "ggplot2: Elegant Graphics for Data Analysis" how to display
precomputed statistics, but there is no example in the book. The
description of the section is as below:

"4.9.2 Displaying precomputed statistics
If you have data which has already been summarised, and you just want to
use it, you’ll need to use stat_identity(), which leaves the data
unchanged, and then map the appropriate variables to the appropriate
aesthetics."

I tried without success. Does anyone know how to draw the figure?

My dataset is like this:

>df <- data.frame(sample=c(rep("case1",3), rep("case2",3),
rep("case3",3)), group=rep(letters[1:3],3), countSum=11:19)

> df
sample group countSum
1 case1 a 11
2 case1 b 12
3 case1 c 13
4 case2 a 14
5 case2 b 15
6 case2 c 16
7 case3 a 17
8 case3 b 18
9 case3 c 19


The figure I want is like the one produced with the above-mentioned
first command, with "sample" corresponding to "factor(cyl)", "group" to
"factor(vs)", and "countSum" to "count".

Thanks!

Dejian

[Roman Luštrik]

I think you're after `stat = "identity"`. See http://docs.ggplot2.org/current/geom_bar.html

Cheers,

Roman

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[Ben Bond-Lamberty]

...following on Roman's comment, you thus probably want something like

ggplot(df,aes(sample,countSum)) + geom_bar(aes(fill=group),stat='identity')

Ben

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[Dejian Zhao]

Yes, that's what I want. Thanks a lot! -Dejian