Like this?
# example using qplot
library(ggplot2)
meanprice <- tapply(diamonds$price, diamonds$cut, mean);meanprice
cut <- factor(levels(diamonds$cut), levels = levels(diamonds$cut))
qplot(cut, meanprice, geom="bar", stat="identity", fill = I("grey50"))
dev.new() # create a new graph to compare with qplot
# Example using ggplot
ggdata <- data.frame(meanprice,cut);ggdata
ggplot(ggdata,aes(y=meanprice,x=cut)) + geom_bar(fill="grey50",stat='identity')
Felipe D. Carrillo
Supervisory Fishery Biologist
Department of the Interior
US Fish & Wildlife Service
California, USA
--- On Fri, 9/11/09, Andreas Christoffersen <achristoffer...@gmail.com> wrote:
> From: Andreas Christoffersen <achristoffer...@gmail.com>
> Subject: bar chart with means - using ggplot
> To: "ggplot2" <ggpl...@googlegroups.com>
> Date: Friday, September 11, 2009, 1:50 PM
>
> In the help pages hadley provides the following example
> showing how to
> achieve bar charts with y being means of a variable instead
> of counts.
> The example uses qplot however - and not ggplot. Since i
> would like to
> understand ggplot better I would really like to see how
> this could be
> done in ggplot.
>
> # example using qplot
> library(ggplot2)
> meanprice <- tapply(diamonds$price, diamonds$cut, mean)
> cut <- factor(levels(diamonds$cut), levels =
> levels(diamonds$cut))
> qplot(cut, meanprice, geom="bar", stat="identity", fill =
> I("grey50"))
>
> --~--~---------~--~----~------------~-------~--~----~
> You received this message because you are subscribed to the
> ggplot2 mailing list.
> To post to this group, send email to ggpl...@googlegroups.com
> To unsubscribe from this group, send email to
> ggplot2+unsubscr...@googlegroups.com
> For more options, visit this group at
> http://groups.google.com/group/ggplot2
> -~----------~----~----~----~------~----~------~--~---
>
>
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
