Hi
On Thu, Nov 8, 2012 at 6:23 AM, Geophagus <fh at retposto.net>
wrote:> Hi @ all,
> I'm looking for a solution to plot a dataframe as a stacked bar chart
like
> on this picture:
>
http://4.bp.blogspot.com/_79SognVSu7A/S6OtzgksPSI/AAAAAAAABrw/-IuFNewdZFE/s400/Stacked%2BBar%2BChart.png
>
> My dataframe
> example2.csv
<http://r.789695.n4.nabble.com/file/n4648854/example2.csv>
>
> My questions:
> Is there a standard function to convert the values to 100 percent relate to
> realize the stacked chart
This is R, so there will be many ways to do it. I don't know what is
considered standard, but I would do
dat <-
read.delim("http://r.789695.n4.nabble.com/file/n4648854/example2.csv")
dat[-1] <- apply(dat[-1], 2, function(x) (x/sum(x))*100)
or does a library generate the complete plot> inculding an automatically conversion?
>
> I need the states (WA, MT, ND etc.) on the x-axis and the distribution of
> the values (related to 100 %) on the y-axis (stacked) to compare the shares
> per state.
Here is one way:
library(ggplot2)
library(reshape2)
dat.m <- melt(dat, id.vars="X")
ggplot(dat.m, aes(x=variable, y=value, fill=X)) +
geom_bar(stat="identity")
Best,
Ista
>
> I'm hoping for help from you. Thanks a lot.
> GeO
>
>
>
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