R help - Sep 2011 - Boxplot BUT with Mean, SD, Max & Min ?

People,

It appears that there is no way of getting Boxplots to plot using Mean, 
SD, Max & Min - is there something else that would do what I want?  I 
couldn't find it . .

Thanks,

Phil.
-- 
Philip Rhoades

GPO Box 3411
Sydney NSW	2001
Australia
E-mail:  phil at pricom.com.au

Dear Phil,

Have a look at the ggplot2 package.

library(ggplot2)
#classic boxplot
ggplot(mtcars, aes(x = factor(cyl), y = mpg)) + geom_boxplot()

#custom boxplot
myboxplot <- cast(cyl ~ ., value = "mpg", data = mtcars, fun =
c(min, max, sd, mean))
ggplot(myboxplot, aes(x = factor(cyl))) + geom_boxplot(aes(lower = mean - sd,
upper = mean + sd, middle = mean, ymin = min, ymax = max), stat =
"identity")

Best regards,

Thierry

> -----Oorspronkelijk bericht-----
> Van: r-help-bounces at r-project.org [mailto:r-help-bounces at
r-project.org]
> Namens Philip Rhoades
> Verzonden: maandag 26 september 2011 15:57
> Aan: r-help at stat.math.ethz.ch
> Onderwerp: [R] Boxplot BUT with Mean, SD, Max & Min ?
> 
> People,
> 
> It appears that there is no way of getting Boxplots to plot using Mean, SD,
Max
> & Min - is there something else that would do what I want?  I
couldn't find it . .
> 
> Thanks,
> 
> Phil.
> --
> Philip Rhoades
> 
> GPO Box 3411
> Sydney NSW	2001
> Australia
> E-mail:  phil at pricom.com.au
> 
> ______________________________________________
> R-help at 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.

On Mon, Sep 26, 2011 at 9:56 AM, Philip Rhoades <phil at pricom.com.au>
wrote:
> People,
>
> It appears that there is no way of getting Boxplots to plot using Mean, SD,
> Max & Min - is there something else that would do what I want? ?I
couldn't
> find it . .
>
Try replacing the stats component of boxplot's output with your
desired statistics and then feeding that into the lower level bxp
function to do the graphics:

bp <- boxplot(Nile, plot = FALSE)
bp$stats <- matrix(c(min(Nile), mean(Nile) + c(-1, 0, 1) * sd(Nile),
max(Nile)))
bxp(bp)


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