Le 07.06.2006 11:20, [EMAIL PROTECTED] a écrit :
> Spencer Graves a écrit :
>
>
>> I agree it would be great to sort the variables in a correlation
>> matrix to make it easier to read and see patterns. I don't know any
>> functions for doing that. If it were my problem, I might "order" the
>> variables by their first principal component. There may also be some
>> cluster analysis way to do that, but I don't know it well enough to say.
>> Hope this helps.
>> Spencer Graves
>>
>
> Thanks for your answer Spencer.
>
> Here is a first result of a very simple and naive approach.
> http://7d4.com/r/
>
> Of course, there is no assumption the sorting is "optimal",
> but on this little example it helps the matrix being
> more readable.
>
> Vincent
>
Hello Vincent,
Ahhh, the double for loop, the semicolon, the return call. you still
believe in R code looking like C don't you.
Try this one :
matrix.sort2 <- function(M, fun = function(m) colSums(abs(m)) ){
M[or <- order(fun(M) , decreasing=T), or]
}
Romain
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