I have a matrix X1 with 6 columns. Column 3 in this X1 matrix contains RouteNo. I also have a vector V1 which is extracted from another matrix. Few values from this vector matches with RouteNo in X1. The task is to take a subset from matrix X1 where RouteNo from X1 matches with RouteNo from V1. V1 contains extra RouteNo than in matrix X1.
> X1
V1 V2 V3 V4 V5 V6
1 1 2 84072082 1 2000 0
2 2 2 84046006 1 2000 0
3 3 2 84046006 1 2001 0
4 4 2 84046006 1 2002 0
5 5 2 84021002 1 2002 0
6 6 2 84021002 1 2003 0
7 7 2 84021002 1 2003 0
8 8 2 84021002 1 2004 0
9 9 2 84021002 1 2005 0
10 10 2 84021002 1 2005 0
11 11 2 12468015 1 2006 0
12 12 2 12468015 1 2007 0
13 96 2 12468015 2 2000 0
> V1
[1] 84021001 84021002 84021105 84046006 84046007 84046008 84046009 84046011 84046013 84046014
> n2 = subset(X1, subset = X1[,3] %in% V1)
> dim(n2)
[1] 0 6
I tried using subset function but I am not getting the desired result. I expect to get the matrix as below
2 2 2 84046006 1 2000 0
3 3 2 84046006 1 2001 0
4 4 2 84046006 1 2002 0
5 5 2 84021002 1 2002 0
6 6 2 84021002 1 2003 0
7 7 2 84021002 1 2003 0
8 8 2 84021002 1 2004 0
9 9 2 84021002 1 2005 0
Is there any other way to get the result? Any help is appreciated. Thank in advance.
You are running into problems with scoping. You have a column named
V1in your data.framex1. Change your look up vector to a name that isn’t a column name and everything should be fine, i.e.:or use
[to index directlyThe proof is in the pudding: