It's fairly simple to set up something like this for ggplot2:
install.packages("ggplot2")
library(ggplot2)
library(ggplot2)
q5 <- function(data) {
q <- function(p) unname(quantile(data$y, p))
data.frame(min = q(0.05), max = q(0.95))
}
ggplot(diamonds, aes(x = cut, y = price)) +
stat_summary(fun="mean_sdl", geom="crossbar", mult=1) +
stat_summary(fun="q5", geom="linerange")
(see Hmisc::smean.sdl for more details on the first summary function).
Although from this example you can see that that choice of summary
statistics probably isn't the best. You can read more about
stat_summary (and ggplot2 in general) at
http://had.co.nz/ggplot2/stat_summary.html.
Hadley
On 2/17/08, Stropharia <[EMAIL PROTECTED]> wrote:
>
> Any help with this problem would be greatly appreciated:
>
> I need to produce a custom plot i haven't come across in R. Basically, I
> want to show means, 1st standard deviation and 5th and 95th percentiles
> visually, using something resembling a boxplot. Is it possible to completely
> customize a boxplot so that it shows means as the bar (instead of, not as
> well as medians), standard deviations at the hinges (instead of IQR) and 5th
> & 95th percentiles at the brackets? The plotmeans function (ggplots) allows
> means to be plotted, but it seems only with confidence intervals, not 5th
> and 95th percentiles, and also without hinges (for standard deviations).
> I've searched the forums and various books and have drawn a blank on this.
> Thanks.
>
> Steve
>
> ~~~~~~~~~~~~~~~~
> Steve Worthington
> Ph.D. Candidate
> New York Consortium
> in Evolutionary Primatology
> --
> View this message in context:
> http://www.nabble.com/Custom-Plot---means%2C-SD---5th-95th--%28Plotmeans-or-Boxplot%29--tp15537706p15537706.html
> Sent from the R help mailing list archive at Nabble.com.
>
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>
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