Thanks Petr, I'm after T1 + T2 + T3 + ... and your solution is giving a list of n items each containing sum(T[i]). I guess I should have been clearer in stating what I need.
Cheers, DAV -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Petr Savicky Sent: Monday, April 16, 2012 11:07 AM To: r-help@r-project.org Subject: Re: [R] Effeciently sum 3d table On Mon, Apr 16, 2012 at 10:28:43AM -0400, David A Vavra wrote: > I have a large number of 3d tables that I wish to sum > Is there an efficient way to do this? Or perhaps a function I can call? > > I tried using do.call("sum",listoftables) but that returns a single value. > > So far, it seems only a loop will do the job. Hi. Use lapply(), for example listoftables <- list(array(1:8, dim=c(2, 2, 2)), array(2:9, dim=c(2, 2, 2))) lapply(listoftables, sum) [[1]] [1] 36 [[2]] [1] 44 Hope this helps. Petr Savicky. ______________________________________________ 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.