You cannot directly compare R-factors because they are calculated over 
different sets of data. It's apples and oranges. 

Your R-factor gap is a bit large too, perhaps your model can be improved a bit 
for instance by using tighter geometric restraints.

Cheers,
Robbie

> -----Original Message-----
> From: CCP4 bulletin board [mailto:[email protected]] On Behalf Of
> Sam Tang
> Sent: Friday, July 05, 2019 15:49
> To: [email protected]
> Subject: Re: [ccp4bb] resolution
> 
> Dear all
> 
> Hello again
> 
> Thanks a lot for the numerous input.
> 
> I received a dataset which was processed to 2.4A but refined to 3A -- this was
> the background I raised this question in the first place. Then I looked at the
> aimless statistics. At 2.4A the high resolution bin CC1/2 0.626, I/sigI 2.0,
> Completeness 84.6, Multiplicity 1.7 (P1 spacegroup).  I suspect the reason for
> the refinement resolution limit to be set at 3 A was simply due to better
> Rw/Rf (0.236/0.294 at 3A; 0.284/0.341 at 2.4A).
> 
> Based on these information am I justified to say that data quality at 2.4 A 
> was
> suboptimal? In this case do you think refining at a (much) lower resolution is
> acceptable?
> 
> 
> Best regards
> 
> Sam
> 
> On Fri, 5 Jul 2019 at 13:43, Sam Tang <[email protected]> wrote:
> 
> 
>       Hello everyone
> 
>       Sorry for a naive question. Is there any circumstances where one
> may wish to refine to a lower resolution? For example if one has a dataset
> processed to 2 A, is there any good reasons for he/she to refine to only, say
> 2.5 A?
> 
>       Thanks!
> 
>       Sam Tang
> 
> 
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