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.
 
    