Data
str(DT)
Classes ‘data.table’ and 'data.frame': 6 obs. of 3b variables:
$ A : Factor w/ 6 levels "0","1","2","3",..: 1 2 3 4 5 6
$ N : num 13 11 10 5 1 1
$ ID : Factor w/ 1 level "1": 1 1 1 1 1 1
I'd like to reshape this DT to the DT below. If I melt DT by melt.data.table(DT, id.vars = "ID", measure.vars = 1:2)
I get a following wacky melted DT.
ID N variable value
1: 1 13 A 0
2: 1 11 A 1
3: 1 10 A 2
4: 1 5 A 3
5: 1 1 A 4
6: 1 1 A 5
7: 1 13 N 13
8: 1 11 N 11
9: 1 10 N 10
10: 1 5 N 5
11: 1 1 N 1
12: 1 1 N 1
My desired output is as follows. Basically, molten DT should have a variable (or new) column without stacked variable columns from an pre-molten DT
Desired Output
ID variable value N
1: 1 A 0 13
2: 1 A 1 11
3: 1 A 2 10
4: 1 A 3 5
5: 1 A 4 1
6: 1 A 5 1
I'd appreciate any pointers