Hi R users, I have an R object with the following attributes:
> str(sales.bykey1) 'by' int [1:3, 1:2, 1:52] 268 79 118 359 87 147 453 130 81 483 ... - attr(*, "dimnames")=List of 3 ..$ GROUP: chr [1:3] "III" "II" "I" ..$ year : chr [1:2] "2006" "2007" ..$ week : chr [1:52] "1" "2" "3" "4" ... - attr(*, "call")= language by.data.frame(data = vars, INDICES = bykey1, FUN = sum) > sales.bykey1 --------------- GROUP: III year: 2007 week: 51 [1] 64 --------------- GROUP: II year: 2007 week: 51 [1] 17 --------------- GROUP: I year: 2007 week: 51 [1] 21 --------------- GROUP: III year: 2006 week: 52 [1] 14 --------------- GROUP: II year: 2006 week: 52 [1] 62 -------------- GROUP: I year: 2006 week: 52 [1] 10 Can anyone share the most efficient way to convert the output (sales.bykey1) above to look like this: GROUP Year week sales III 2007 51 64 II 2007 51 17 I 2007 51 21 III 2006 52 14 II 2006 52 62 I 2006 52 10 Many thanks in advance for any help! -- View this message in context: http://www.nabble.com/output-formatting-tp22344554p22344554.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.