On Thu, 21 Apr 2005, Ernesto Jardim wrote:
I'm using colSums and rowSums to sum the first dimensions of arrays. It works
ok but the resulting object is different. See
a3d <- array(rnorm(120, mean=2), dim=c(20,6,1))
dim(colSums(a3d))
[1] 6 1
dim(rowSums(a3d))
NULL
class(colSums(a3d))
[1] "matrix"
class(rowSums(a3d))
[1] "numeric"
I was expecting rowSums to preserve the array class and the relevant
dimensions (1,20).
The main problem is with arrays where the third dimension (or higher) is > 1.
colSums preserve the array but rowSums concatenate the results:
No, it acts as documented.
a3d <- array(rnorm(120, mean=2), dim=c(20,3,2))
rowSums(a3d)
[1] 8.894178 11.932361 15.231601 12.374629 11.823671 10.564709 9.065166
[8] 13.900264 13.331756 9.351242 11.989821 7.643745 9.923288 8.169997
[15] 12.124624 16.711742 11.414150 15.221880 12.053734 13.368988
colSums(a3d)
[,1] [,2]
[1,] 44.80941 29.49216
[2,] 42.18339 39.81121
[3,] 39.90528 38.89010
Is this on purpose ?
Yes, and documented. rowSums(a3d) is a vector of length 20, by
dims: Which dimensions are regarded as "rows" or "columns" to sum
over. For 'row*', the sum or mean is over dimensions
'dims+1, ...'; for 'col*' it is over dimensions '1:dims'.
whereas colSums(a3d) is an array of dims c(6, 1).
Don't be confused by the class: there is no S3 class here.
--
Brian D. Ripley, [EMAIL PROTECTED]
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
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