Hi,

Chung-hong Chan wrote:
> Hi,
>
> You can try with
> cor.test(rank(y[1]),rank(y[2]))
>   

Thanks for this!  It didn't solve my problem, but it helped me realize 
that the formula I was using by hand is invalid for the tie case.  I 
just realized that with R's cor function, the Pearson correlation of the 
ranks = the Spearman of the original values.

I've yet to find the formula for the tied case for Spearman, but at 
least now I know what the problem is (the formula I was using by hand).  
Thanks!

Ray

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