Dear Patricia,
Take a look at this post:
http://www.nabble.com/Re:-applying-cor.test-to-a-(m,-n)-matrix---SUMMARY-to17150239.html#a17150239
The easiest way is using cor. See ?cor for details. Here is an example:
set.seed(12)
A<-matrix(rnorm(30),ncol=3)
cor(A)
# [,1] [,2] [,3]
# [1,
'combn' will give you the combinations that you can then use as
parameters in the function:
> combn(c('a', 'b', 'c'), 2)
[,1] [,2] [,3]
[1,] "a" "a" "b"
[2,] "b" "c" "c"
>
On Mon, Feb 9, 2009 at 11:44 AM, patricia garcía gonzález
wrote:
>
> Hi all,
>
> Having a matrix A formed by n ve
Hi all,
Having a matrix A formed by n vectors as columns. Is there anything to
calculate a determined function to all combination of vectors?
For example imagine A matrix is compose by vectors a, b and c. And the function
to perform is correlation, so I would like to obtain cor(a, b), cor(a,
3 matches
Mail list logo