[R] adding the mean and standard deviation to boxplots

[Fernando Marmolejo-Ramos]

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)…

1.	a boxplot showing the MEAN and the SD instead of the lower/upper
quartile?
2.	a boxplot showing the MEAN and the STANDARD ERROR OF THE MEAN instead of
the lower/upper quartile?
3.	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
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