On 20-07-2010, at 20:30, litao.ext [via R] wrote:
> yes, the matrix is symmetric.
>
> But when I apply normalize upon rows, I expect to get the following result:
> > apply( a, 1, normalize )
> [,1] [,2] [,3] [,4] [,5]
> [1,] 0.00 0.25 0.50 0.75 1.00
> [2,] 0.00 0.25 0.50 0.75 1.00
>
yes, the matrix is symmetric.
But when I apply normalize upon rows, I expect to get the following result:
> apply( a, 1, normalize )
[,1] [,2] [,3] [,4] [,5]
[1,] 0.00 0.25 0.50 0.75 1.00
[2,] 0.00 0.25 0.50 0.75 1.00
[3,] 0.00 0.25 0.50 0.75 1.00
[4,] 0.00 0.25 0.50 0.75 1.00
[5,] 0.00 0.25
I try to utilize some operations on rows in a matrix using command 'apply'
but find a problem.
First I write a simple function to normalize a vector (ignore error
handling) as follows:
normalize = function( v ) {
return( ( v-min(v) ) / ( max(v) - min(v) ) )
}
The function works fine for
litao.ext wrote:
>
> I try to utilize some operations on rows in a matrix using command 'apply'
> but find a problem.
>
> First I write a simple function to normalize a vector (ignore error
> handling) as follows:
> normalize = function( v ) {
> return( ( v-min(v) ) / ( max(v) - min(v) )
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