Le 10/08/10 10:05, David Katz a écrit :
Is there a way to identify (for subsequent replacement) which rows in a
matrix are comprised entirely of *integers*? I have a large set of
*nx3 *matrices
where each row either consists of a set of 3 integers or a set of 3 real
numbers. A given matrix might looks something like this:
[ ,1] [ ,2] [ ,3]
[1, ] 121.0000 -98.0000 276.0000
[2, ] 10.1234 25.4573 -188.9204
[3, ] 121.0000 -98.0000 276.0000
[4, ] -214.4982 -99.1043 -312.0495
.....
[n, ] 99.0000 1.0000 -222.0000
Ultimately, I'm going to replace the values in the integer-only rows with
"NAs." But first I need r to recognize the integer-only rows. I assume
whatever function I write will be keyed off of the ".0000s", but have no
clue how to write that function. Any ideas?
David Katz
Something like this perhaps:
> x <- rbind( c(1, 2, 3), c(1.2,2.2, 3.2), c(1,2,3), c(1.2, 1.2, 1.3 ) )
> x
[,1] [,2] [,3]
[1,] 1.0 2.0 3.0
[2,] 1.2 2.2 3.2
[3,] 1.0 2.0 3.0
[4,] 1.2 1.2 1.3
> rowSums( x == round(x) ) == ncol(x)
[1] TRUE FALSE TRUE FALSE
> x[ rowSums( x == round(x) ) == ncol(x) , ] <- NA
> x
[,1] [,2] [,3]
[1,] NA NA NA
[2,] 1.2 2.2 3.2
[3,] NA NA NA
[4,] 1.2 1.2 1.3
Romain
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