I have a table of transactional data, with item numbers in each cell. For each non-missing entry, I would like to output an (ID, ITEM)
pair, where ID
is the row number and ITEM
is the data. For instance, consider the following input table:
(dat <- matrix(c(25, 39, 35, 39, 15, 26, 7, 227, 52, 120, 249, 422, 229, 104, 185, 390, 164, 124, 674, 449, 262, 143, 214, NA, 240, 205, 712, 704, 283, 320, 350, NA, 274, 401, 733, 825, 294, 569, 529, NA, 328, 581, 759, 857, 352, 620, 658, NA, 368, 704, 854, 895, 381, 798, 682, NA, 448, 814, 950, 937, 708, NA, 782, NA, 538, 825, NA, 954, 738, NA, 809, NA, 561, 834, NA, 964, 766, NA, 849, NA), nrow=8))
# [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
# [1,] 25 52 164 240 274 328 368 448 538 561
# [2,] 39 120 124 205 401 581 704 814 825 834
# [3,] 35 249 674 712 733 759 854 950 NA NA
# [4,] 39 422 449 704 825 857 895 937 954 964
# [5,] 15 229 262 283 294 352 381 708 738 766
# [6,] 26 104 143 320 569 620 798 NA NA NA
# [7,] 7 185 214 350 529 658 682 782 809 849
# [8,] 227 390 NA NA NA NA NA NA NA NA
The eighth row would be converted to the following:
data.frame(ID=c(8, 8), ITEM=c(227, 390))
# ID ITEM
# 1 8 227
# 2 8 390
I would like each row to be converted in this way.