Hi I will not answer your question directly but instead I have some recommendation for you. If you can put these data frames to one list object when you creates them, you can save yourself a lot of troubles.
some.list<-vector("list", n) for (i in 1:n) { some.list[[i]] <- some extensive computation or reading files } then you can use lapply/sapply/for cycle to make any computation directly on list. I use R for more than 10 years and I do not remember any situation when I would need to create multiple objects in "n1":"nx" naming manner. Regards Petr > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Dan Abner > Sent: Monday, October 14, 2013 5:10 PM > To: r-help@r-project.org > Subject: [R] Passing multiple object names to a user-defined R fn XXXX > > Hi all, > > I am attempting to write an R fn that will accept multiple (but varying > on how many) objects (usually data frames) as inputs and return summary > output. > > What is the best way to pass the object names to the fn (I have thought > of > 2 options below) AND how do I then use the names inside the fn to > reference the actual object (I assume that I would need something like > get(x[1]) for example to have "d1" resolve the the object d1. Correct? > > The 1st option I thought of was to pass the object names as a character > vector in the call to the fn: > > set.matrix<-df.set(c("d1","d2","d3","d4","d5","d6","d7","d8"),by="ID") > 2nd option: Is something like this possible: > > set.matrix<-df.set(c(d1,d2,d3,d4,d5,d6,d7,d8),by="ID") > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.