Ok, it is that simple... Actually I had tried it but messed up so that it didn't work.
Do you know where I can find some documentation about it?

Regarding return(), I know that it's not necessary, but when the function gets more complicated, I like to have it because it becomes clearer to me.

Thanks all!
Ivan

--
Ivan CALANDRA
Université de Bourgogne
UMR CNRS/uB 6282 Biogéosciences
6 Boulevard Gabriel
21000 Dijon, FRANCE
+33(0)3.80.39.63.06
ivan.calan...@u-bourgogne.fr
http://biogeosciences.u-bourgogne.fr/calandra

Le 17/01/13 15:55, R. Michael Weylandt a écrit :
On Thu, Jan 17, 2013 at 2:36 PM, Ivan Calandra
<ivan.calan...@u-bourgogne.fr> wrote:
Dear users,

I'm trying to learn how to use the "...".

I have written a function (simplified here) that uses doBy::summaryBy():
# 'dat' is a data.frame from which the aggregation is computed
# 'vec_cat' is a integer vector defining which columns of the data.frame
should be use on the right side of the formula
# 'stat_fun' is the function that will be run to aggregate
stat.group <- function(dat, vec_cat, stat_fun){
     require(doBy)
     df <-
summaryBy(as.formula(paste0(".~",paste0(names(dat)[vec_cat],collapse="+"))),
data=dat, FUN=stat_fun)
     return(df)
}
[SNIP EXAMPLE -- THANK YOU FOR IT]

Now summaryBy() has an "..." argument and I would like to use it.
For example, I would like to be able to add the trim argument to my call
like this:
stat.group(dat=my_data, vec_cat=1, stat_fun=mean, trim=0.2)


Thanks for the great working examples!

It's actually not too hard here --  just pass "..." down as if it were
an argument and let summaryBy() do the hard work of actually handling
the dots:

stat.group <- function(dat, vec_cat, stat_fun, ...){
     require(doBy)
     df <- 
summaryBy(as.formula(paste0(".~",paste0(names(dat)[vec_cat],collapse="+"))),
data=dat, FUN=stat_fun, ...)
     return(df)
}

Also, note that as a matter of style, you can actually clean this up a
little bit: R follows the trend of many functional languages in
automatically returning the value of the last expression evaluated:

stat.group <- function(dat, vec_cat, stat_fun, ...){
     require(doBy)
     
summaryBy(as.formula(paste0(".~",paste0(names(dat)[vec_cat],collapse="+"))),
data=dat, FUN=stat_fun, ...)
}

Cheers,
Michael


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