Sort matrix according to first column in R
I have a matrix with two columns of the following form:
1 349
1 393
1 392
4 459
3 49
3 32
2 94
I would like to sort this matrix in increasing order based on the first column but I would like to keep the corresponding values in the second column.
The output would look like this:
1 349
1 393
1 392
2 94
3 49
3 32
4 459
Solution 1:
Read the data:
foo <- read.table(text="1 349
1 393
1 392
4 459
3 49
3 32
2 94")
And sort:
foo[order(foo$V1),]
This relies on the fact that order
keeps ties in their original order. See ?order
.
Solution 2:
Creating a data.table
with key=V1
automatically does this for you. Using Stephan's data foo
> require(data.table)
> foo.dt <- data.table(foo, key="V1")
> foo.dt
V1 V2
1: 1 349
2: 1 393
3: 1 392
4: 2 94
5: 3 49
6: 3 32
7: 4 459
Solution 3:
Be aware that if you want to have values in the reverse order, you can easily do so:
> example = matrix(c(1,1,1,4,3,3,2,349,393,392,459,49,32,94), ncol = 2)
> example[order(example[,1], decreasing = TRUE),]
[,1] [,2]
[1,] 4 459
[2,] 3 49
[3,] 3 32
[4,] 2 94
[5,] 1 349
[6,] 1 393
[7,] 1 392