Taka Matzmoto wrote:> Dear R-users,
>
> I have a data.frame having NA (e.g., 2nd, 4th rows, etc).
>
> Start End Length Variable_name
> [1,] "1" "1" "1" "a"
> [2,] NA NA NA ""
> [3,] "2" "2" "1" "b"
> [4,] NA NA NA ""
> [5,] "3" "6" "4" "c"
> [6,] "7" "10" "4" "d"
> :
> :
> :
>
> I like to remove the rows having NA in the first column ("Start")
> What is the most elegant way to do this? I think I can use for loop to
> remove.
> I am looking for a better way.
newX <- X[!is.na(X[,1]),]
Uwe Ligges
> Thanks
>
> Taka,
>
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