Dear R-list,
I have a dataset, say (the real dataset is 20 columns,110200 rows).
V1 V2 V3 V4 V5 V6 V7 V8 V9
[1,] 1 0 0 1 14 3 1 0 2
[2,] 2 0 0 1 14 3 1 0 2
[3,] 0 1 0 1 14 2 1 0 2
[4,] 0 0 1 1 14 3 1 0 2
[5,] 0 1 1 0 14 2 1 0 2
[6,] 0 0 0 1 14 3 1 0 2
[7,] 0 0 0 1 0 3 1 0 2
[8,] 0 0 0 1 1 3 1 0 2
[9,] 0 0 0 1 2 3 1 0 2
[10,] 0 0 0 1 3 3 1 0 2
[11,] 0 0 0 1 4 3 1 0 2
[12,] 0 0 0 1 5 3 1 0 2
[13,] 0 0 0 1 6 3 1 0 2
[14,] 0 0 0 1 7 3 1 0 2
[15,] 0 0 0 1 8 3 1 0 2
[16,] 0 0 0 1 9 3 1 0 2
[17,] 0 0 0 1 10 3 1 0 2
[18,] 0 0 0 1 11 3 1 0 2
[19,] 0 0 0 1 12 3 1 0 2
[20,] 0 0 0 1 13 3 1 0 2
[21,] 0 0 0 1 15 3 1 0 2
[22,] 0 0 0 1 16 3 1 0 2
[23,] 0 0 0 1 17 3 1 0 2
[24,] 0 0 0 1 18 3 1 0 2
[25,] 0 0 0 1 19 3 1 0 2
[26,] 0 0 0 1 20 3 1 0 2
[27,] 0 0 0 1 14 0 1 0 2
[28,] 0 0 0 1 14 1 1 0 2
[29,] 0 0 0 1 14 2 1 0 2
[30,] 0 0 0 1 14 4 1 0 2
I want to search a value in variables, say V1=0, V5=14 and V6=2.
The result should look like
V1 V2 V3 V4 V5 V6 V7 V8 V9
[3,] 0 1 0 1 14 2 1 0 2
[5,] 0 1 1 0 14 2 1 0 2
[29,] 0 0 0 1 14 2 1 0 2
I can do this with: my.reducedID[c(3,5,29),]
Because I have very large dataset I can not make this manual.
Then I need the ID of row did not change, I mean like,
[3,]
[5,]
[29,]
In dataset this is about ID our customers.
I was wondering if anyone give me a trick to make simple.
Thanks you very much for any suggestions.
Without having tested:
with(my.reducedID, rownames(V1==0 & V5==14 & V6==2))