HI Jacob

Yes, I got this - and I appreciate the benefit of Rmeas for dealing with 
measuring agreement for small-multiplicity observations. Having this *as well* 
is very useful and I agree Rmeas / Rpim / CC-half should be the primary 
“quality” statistics.

However, you asked if there is any reason to *keep* rather than *eliminate* 
Rmerge, and I offered one :o)

I do not see what harm there is reporting Rmerge, even if it is just used in 
the inner shell or just used to capture a flavour of the data set overall. I 
also appreciate that Rmeas converges to the same value for large multiplicity 
i.e.:

                                           Overall  InnerShell  OuterShell
Low resolution limit                       39.02     39.02      1.39
High resolution limit                       1.35      6.04      1.35

Rmerge  (within I+/I-)                     0.080     0.057     2.871
Rmerge  (all I+ and I-)                    0.081     0.059     2.922
Rmeas (within I+/I-)                       0.081     0.058     2.940
Rmeas (all I+ & I-)                        0.082     0.059     2.958
Rpim (within I+/I-)                        0.013     0.009     0.628
Rpim (all I+ & I-)                         0.009     0.007     0.453
Rmerge in top intensity bin                0.050        -         - 
Total number of observations             1265512     16212     53490
Total number unique                        17515       224      1280
Mean((I)/sd(I))                             29.7     104.3       1.5
Mn(I) half-set correlation CC(1/2)         1.000     1.000     0.778
Completeness                               100.0      99.7     100.0
Multiplicity                                72.3      72.4      41.8

Anomalous completeness                     100.0     100.0     100.0
Anomalous multiplicity                      37.2      42.7      21.0
DelAnom correlation between half-sets      0.497     0.766    -0.026
Mid-Slope of Anom Normal Probability       1.039       -         -  

(this is a good case for Rpim & CC-half as resolution limit criteria)

If the statistics you want to use are there & some others also, what is the 
pressure to remove them? Surely we want to educate on how best to interpret the 
entire table above to get a fuller picture of the overall quality of the data? 
My 0th-order request would be to publish the three shells as above ;o)

Cheers Graeme



> On 4 Jul 2017, at 22:09, Keller, Jacob <kell...@janelia.hhmi.org> wrote:
> 
> I suggested replacing Rmerge/sym/cryst with Rmeas, not Rpim. Rmeas is simply 
> (Rmerge * sqrt(n/n-1)) where n is the number of measurements of that 
> reflection. It's merely a way of correcting for the multiplicity-related 
> artifact of Rmerge, which is becoming even more of a problem with data sets 
> of increasing variability in multiplicity. Consider the case of comparing a 
> data set with a multiplicity of 2 versus one of 100: equivalent data quality 
> would yield Rmerges diverging by a factor of ~1.4. But this has all been 
> covered before in several papers. It can be and is reported in resolution 
> bins, so can used exactly as you say. So, why not "disappear" Rmerge from the 
> software?
> 
> The only reason I could come up with for keeping it is historical reasons or 
> comparisons to previous datasets, but anyway those comparisons would be 
> confounded by variabities in multiplicity and a hundred other things, so come 
> on, developers, just comment it out!
> 
> JPK
> 
> 
> 
> 
> -----Original Message-----
> From: graeme.win...@diamond.ac.uk [mailto:graeme.win...@diamond.ac.uk] 
> Sent: Tuesday, July 04, 2017 4:37 PM
> To: Keller, Jacob <kell...@janelia.hhmi.org>
> Cc: ccp4bb@jiscmail.ac.uk
> Subject: Re: [ccp4bb] Rmergicide Through Programming
> 
> HI Jacob
> 
> Unbiased estimate of the true unmerged I/sig(I) of your data (I find this 
> particularly useful at low resolution) i.e. if your inner shell Rmerge is 10% 
> your data agree very poorly; if 2% says your data agree very well provided 
> you have sensible multiplicity… obviously depends on sensible interpretation. 
> Rpim hides this (though tells you more about the quality of average 
> measurement) 
> 
> Essentially, for I/sig(I) you can (by and large) adjust your sig(I) values 
> however you like if you were so inclined. You can only adjust Rmerge by 
> excluding measurements.
> 
> I would therefore defend that - amongst the other stats you enumerate below - 
> it still has a place 
> 
> Cheers Graeme
> 
>> On 4 Jul 2017, at 14:10, Keller, Jacob <kell...@janelia.hhmi.org> wrote:
>> 
>>> Rmerge does contain information which complements the others. 
>> 
>> What information? I was trying to think of a counterargument to what I 
>> proposed, but could not think of a reason in the world to keep reporting it.
>> 
>> JPK
>> 
>> 
>> On 4 Jul 2017, at 12:00, Keller, Jacob 
>> <kell...@janelia.hhmi.org<mailto:kell...@janelia.hhmi.org>> wrote:
>> 
>> Dear Crystallographers,
>> 
>> Having been repeatedly chagrinned about the continued use and reporting of 
>> Rmerge rather than Rmeas or similar, I thought of a potential way to promote 
>> the change: what if merging programs would completely omit Rmerge/cryst/sym? 
>> Is there some reason to continue to report these stats, or are they just 
>> grandfathered into the software? I doubt that any journal or 
>> crystallographer would insist on reporting Rmerge per se. So, I wonder what 
>> developers would think about commenting out a few lines of their code, 
>> seeing what happens? Maybe a comment to the effect of "Rmerge is now 
>> deprecated; use Rmeas" would be useful as well. Would something catastrophic 
>> happen?
>> 
>> All the best,
>> 
>> Jacob Keller
>> 
>> *******************************************
>> Jacob Pearson Keller, PhD
>> Research Scientist
>> HHMI Janelia Research Campus / Looger lab
>> Phone: (571)209-4000 x3159
>> Email: kell...@janelia.hhmi.org<mailto:kell...@janelia.hhmi.org>
>> *******************************************
>> 
>> 
>> -- 
>> This e-mail and any attachments may contain confidential, copyright and or 
>> privileged material, and are for the use of the intended addressee only. If 
>> you are not the intended addressee or an authorised recipient of the 
>> addressee please notify us of receipt by returning the e-mail and do not 
>> use, copy, retain, distribute or disclose the information in or attached to 
>> the e-mail.
>> Any opinions expressed within this e-mail are those of the individual and 
>> not necessarily of Diamond Light Source Ltd. 
>> Diamond Light Source Ltd. cannot guarantee that this e-mail or any 
>> attachments are free from viruses and we cannot accept liability for any 
>> damage which you may sustain as a result of software viruses which may be 
>> transmitted in or with the message.
>> Diamond Light Source Limited (company no. 4375679). Registered in England 
>> and Wales with its registered office at Diamond House, Harwell Science and 
>> Innovation Campus, Didcot, Oxfordshire, OX11 0DE, United Kingdom
>> 
> 

Reply via email to