Here is an alternative solution > foo <- array(data = rnorm(32), dim = c(4,4,2), + dimnames=list(letters[1:4], LETTERS[1:4], letters[5:6])) > > ind <- which(foo > 0, arr.ind = TRUE) > row.names(ind) <- NULL ## to avoid warnings. > > mapply("[", dimnames(foo), data.frame(ind)) [,1] [,2] [,3] [1,] "a" "A" "e" [2,] "b" "A" "e" [3,] "a" "B" "e" [4,] "c" "B" "e" [5,] "a" "C" "e" [6,] "c" "C" "e" [7,] "b" "D" "e" [8,] "a" "A" "f" [9,] "b" "B" "f" [10,] "c" "B" "f" [11,] "d" "B" "f" [12,] "a" "C" "f" [13,] "d" "C" "f" [14,] "a" "D" "f" [15,] "b" "D" "f"
Bill Venables. -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Dennis Murphy Sent: Monday, 16 May 2011 3:14 PM To: Pierre Roudier Cc: r-help@r-project.org Subject: Re: [R] Extracting the dimnames of an array with variable dimensions Hi: Does it have to be an array? If all you're interested in is the dimnames, how about this? library(plyr) foo <- array(data = rnorm(32), dim = c(4,4,2), dimnames=list(letters[1:4], LETTERS[1:4], letters[5:6])) > foo , , e A B C D a -0.2183877 -0.8912908 -2.0175612 -0.8080548 b 0.4870784 -0.8626293 -0.5641368 -0.5219722 c 0.8821044 0.3187850 1.2203297 -0.3151186 d -0.9894656 -1.1779108 0.9853935 0.3560747 , , f A B C D a 0.7357773 -1.7591637 1.6320887 1.2248529 b 0.4662315 0.1131432 -0.9790887 -0.6575306 c -0.3564725 -0.9202688 0.1017894 0.7382683 d 0.2825117 0.9242299 0.3577063 -1.3297339 # flatten array into a data frame with dimnames as factors # adply() converts an array to a data frame, applying a function # along the stated dimensions u <- adply(foo, c(1, 2, 3), as.vector) subset(u, V1 > 0)[, 1:3] X1 X2 X3 2 b A e 3 c A e 7 c B e 11 c C e 12 d C e 16 d D e 17 a A f 18 b A f 20 d A f 22 b B f 24 d B f 25 a C f 27 c C f 28 d C f 29 a D f 31 c D f HTH, Dennis On Sun, May 15, 2011 at 9:20 PM, Pierre Roudier <pierre.roud...@gmail.com> wrote: > Hi list, > > In a function I am writing, I need to extract the dimension names of > an array. I know this can be acheived easily using dimnames() but my > problem is that I want my function to be robust when the number of > dimensions varies. Consider the following case: > > foo <- array(data = rnorm(32), dim = c(4,4,2), > dimnames=list(letters[1:4], LETTERS[1:4], letters[5:6])) > > # What I want is to extract the *names of the dimensions* for which > foo have positive values: > ind <- which(foo > 0, arr.ind = TRUE) > > # A first solution is: > t(apply(ind, 1, function(x) unlist(dimnames(foo[x[1], x[2], x[3], > drop=FALSE])))) > # But it does require to know the dimensions of foo > > I would like to do something like: > > ind <- which(foo > 0, arr.ind = TRUE) > t(apply(ind, 1, function(x) unlist(dimnames(foo[x, drop=FALSE])))) > > but in that case the dimnames are dropped. > > Any suggestion? > > Cheers, > > Pierre > > -- > Scientist > Landcare Research, New Zealand > > ______________________________________________ > 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. ______________________________________________ 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.