R devel - Mar 2007 - Incorrect matrix of spearman correlations .... in 64-bit (PR#9570)

vobolonkin at lic.co.nz wrote:
> Full_Name: Vladimir Obolonkin
> Version: tested in 2.0 to 2.4.1
> OS: linux, win, mac
> Submission from: (NULL) (202.14.96.194)
>
> {{ Subject shortened manually -- to pass anti-spam filters 
>
>    Original-subject: Incorrect matrix of spearman correlations working \
>      large (24000 by 425 and 78 by 425 data frames)  in 64-bit Linux
machines;\
>       the same code gives correct results in 32-bits Win and Mac (PR#9568)
> }}
>
>
cc_s<-cor(phenos,vec,method="spearman",use="pairwise.complete.obs")
>
> this is a line copied from real script producing different results in 64
> bit/Linux/R (wrong) and Mac&Win (correct)
>
> The script was implemented on 4 machines with Linux 64, Suse 9-10, in 5
variants
> of R -- versions from 2.3 to 2.4.1, compiled with few different settings of
> optimization and 2 versions of compilers. In all cases the results of
spearman
> correlation were identical, but wrong.
>
> The same script was started up to 10 times in Win32 on Intel and Linux32 on
Mac
> with the Rs from 2.3 to 2.4.1 -- in this set of cases the results were
identical
> and correct.
>
> 'phenos' and 'vec' are data frames of 425x78 and 425x24128
respectively, all
> numeric variables. The 'phenos' has moderate number of NAs in some
columnes.
>
> The problem dissapeared when trying to reduce the size of matrices (by
selection
> of rows and/or columns) and/or when simulating the data with random
generators.
>
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>   
I don't see anything to reproduce here, so how are we supposed to get a 
handle on the issue?