Thank you very much for your suggestion.
f <- function(a,b,c) { names <- ls(environment()) # get all the names result <- list() for (n in names) { if (!do.call(missing, list(as.name(n)))) result[n] <- get(n) } result }
I have already figured out a very similar solution using for/eval that basically does the same. I was hoping that I would somehow could get around the ugly loop using a more elegant approach. The loop should have a negative impact on performance since my function is using a lot of parameters. I was hoping, that there was some flag to tell the as.list function to ignore non existing objects. If that is not possible I will have to accept this.
If you put the ls() call later, you'll pick up other local variables (names, result, n) as well.
Of course. That is why I call it at the very first line of my function. Thanks again! Heiko Neuhaus ______________________________________________ R-help@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.