From: Fernando Marmolejo-Ramos <fernando.marmolejoramos_at_adelaide.edu.au>

Date: Tue, 22 Jul 2008 23:24:36 -0700 (PDT)

Date: Tue, 22 Jul 2008 23:24:36 -0700 (PDT)

Dear users

This is a message I was directing to Harold Baize but because I pressed the wrong button the message got lost grrrr!!!

So I’m doing it all over again:

Lets suppose I have three batches of data:

a <- rnorm(50,2500,300) b <- rnorm(50,3500,250) c <- rnorm(50,4000,200)

# Now I want to plot them as boxplots and violin plots
require(vioplot)

vioplot (a,b,c, horizontal=T, col=“white”)
boxplot (a,b,c, horizontal=T, col=“white”)

As we know boxplot show the least-greates values, lower-upper quartiles, the mean, and outliers (when present).

However, for some data is not important the MEDIAN but the MEAN. Also, it is more relevant to show ERROR BARS instead of quartiles.

So, how could I see (for the batches of data I introduced above)…

- a boxplot showing the MEAN and the SD instead of the lower/upper quartile?
- a boxplot showing the MEAN and the STANDARD ERROR OF THE MEAN instead of the lower/upper quartile?
- a boxplot showing the MEAN and the 95% CI instead of the lower/upper quartile?

(I think in all these cases is preferable to have visual access, or to have the line that shows, the LEAST and the GREATEST VALUES.)

In other words, that the ERROR BARS (95% CI, SD, SE) proposed here take the place of the boxes usually used to represent the lower/upper quartile.

Now, the big question, is all this jazz possible to be implemented in violin plots as well?

How could that be done?

Cheers,

Fernando

-- View this message in context: http://www.nabble.com/adding-the-mean-and-standard-deviation-to-boxplots-tp15271398p18604571.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.Received on Wed 23 Jul 2008 - 06:31:05 GMT

Archive maintained by Robert King, hosted by
the discipline of
statistics at the
University of Newcastle,
Australia.

Archive generated by hypermail 2.2.0, at Wed 23 Jul 2008 - 22:32:51 GMT.

*
Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help.
Please read the posting
guide before posting to the list.
*