Dear Sir,

Thank you for such nice replies. All of them helped me a lot.

Sincerely
Deb


On Sat, 06 Dec 2008 Manfred S.Weiss wrote :
>
>Dear Deb,
>
>R_meas or R_rim is a merging R-factor which is independent of the
>redundancy or multiplicity of the data (hence its name), R_pim
>stands for precision indicating merging R-factor. R_pim
>gives you the precision of the averaged measurement, which is
>the one you are actually using for structure solution and refinement.
>
>SCALA will calculate both R_rim (R_meas) and R_pim, XDS/XSCALE
>will calculate R_rim (R_meas) only, and SCALEPACK neither of the
>two. However, you may produce a file from SCALEPACK with scaled
>but unmerged intensities (option NO MERGE ORIGINAL INDEX)
>and then download a program from my site called RMERGE or
>RMERGE_4LINUX, which will do the job for you.
>
>If you have further questions, please see the page
>http://www.embl-hamburg.de/~msweiss/projects/msw_qual.html
>or ask me.
>
>Cheers, Manfred
>
>********************************************************************
>*                                                                  *
>*                    Dr. Manfred S. Weiss                          *
>*                                                                  *
>*                         Team Leader                              *
>*                                                                  *
>* EMBL Hamburg Outstation                    Fon: +49-40-89902-170 *
>* c/o DESY, Notkestr. 85                     Fax: +49-40-89902-149 *
>* D-22603 Hamburg                   Email: [EMAIL PROTECTED] *
>* GERMANY                       Web: www.embl-hamburg.de/~msweiss/ *
>*                                                                  *
>********************************************************************
>
>
>On Sat, 6 Dec 2008, Debajyoti Dutta wrote:
>
> >
>Dear members,
>
>I have a little query hare about Rpim and Rmeans. How these are used to mark 
>data quality, and how can one calculate it.
>
>Thak you for your reply in advance.
>
>Sincerely
>Deb

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