[R] search through a matrix

[onyourmark]

I changed the condition to:
 highlyCor<-cbind(rownames(x)[row(x)[((x > 0.9)|(x<(-.9)))]],
colnames(x)[col(x)[((x > 0.9)|(x<(-.9)))]]) 

Actually what I am trying to do is run factor analysis on this 923 by 925 x
matrix but many of the variables where too highly correlated and so I got
some message about singular and that the factanal could not run. 
Is there a way to choose to remove one variable from each pair of highly
correlated variables (say variables with greater than .9 or less than -.9
correlation) and receive a new smaller x matrix which I can then do factor
analysis on?

Thanks.


Uwe Ligges-3 wrote:
> 
> 
> 
> onyourmark wrote:
>> Hi. I have a 925 by 925 correlation matrix corM. I want to identify all
>> variables that have correlation greater than 0.9.  Can anyone suggest an
>> "R
>> way" of doing this?
>> 
>> Thank you.
> 
> Example:
> 
> # prepare example data:
> x <- matrix((1:25) / 25, 5, 5)
> rownames(x) <- letters[1:5]
> colnames(x) <- letters[1:5]
> 
> # solution
> cbind(rownames(x)[row(x)[x > 0.9]], colnames(x)[col(x)[x > 0.9]])
> 
> 
> Uwe Ligges
> 
> ______________________________________________
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