yes, that is correct. I was looking in text mode. ok, thanks for your help.
-Whit On Thu, Dec 11, 2008 at 4:02 PM, Prof Brian Ripley <rip...@stats.ox.ac.uk> wrote: > On Thu, 11 Dec 2008, Whit Armstrong wrote: > >> Thanks, Gabor and Prof. Ripley. >> >> Sorry for the oversight. >> >> I grepped the lapply help for recursive prior to sending my question. >> >> why does it appear as "*r*ecursive" in the help file? or is that just >> a formating problem on my machine? > > It is marked as bold: I presume you are reading text help? > >> >> -Whit >> >> >> On Thu, Dec 11, 2008 at 3:13 PM, Prof Brian Ripley >> <rip...@stats.ox.ac.uk> wrote: >>> >>> On Thu, 11 Dec 2008, Whit Armstrong wrote: >>> >>>> for a simple example: >>>> >>>> x <- list() >>>> x[["a"]] <- list(a=c(1,2,3),b=c(3,4,5)) >>>> x[["b"]] <- list(a=c(6,7,8),b=c(9,10,11)) >>>> >>>> lapply(x,sum) >>>> >>>> >>>> this fails w/ >>>> Error in FUN(X[[1L]], ...) : invalid 'type' (list) of argument >>>> >>>> Just wondering if I have overlooked something obvious. >>> >>> rapply? Which is linked from ?lapply (I just checked). Perhaps >>> >>>> rapply(x, sum) >>> >>> a.a a.b b.a b.b >>> 6 12 21 30 >>> >>> or >>> >>>> rapply(x, sum, how="list") >>> >>> $a >>> $a$a >>> [1] 6 >>> ..... >>> >>>> >>>> one can also do: >>>> >>>> lapply(x,lapply,sum) >>>> >>>> but that assumes that you already know how many levels you have, and >>>> that all the levels are consistent. >>>> >>>> -Whit >>>> >>>> ______________________________________________ >>>> 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. >>>> >>> >>> -- >>> Brian D. Ripley, rip...@stats.ox.ac.uk >>> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ >>> University of Oxford, Tel: +44 1865 272861 (self) >>> 1 South Parks Road, +44 1865 272866 (PA) >>> Oxford OX1 3TG, UK Fax: +44 1865 272595 >>> >> > > -- > Brian D. Ripley, rip...@stats.ox.ac.uk > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > University of Oxford, Tel: +44 1865 272861 (self) > 1 South Parks Road, +44 1865 272866 (PA) > Oxford OX1 3TG, UK Fax: +44 1865 272595 > ______________________________________________ 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.