Dear Herman,

I think, your MPR proposal is a great idea and would like to second it! And I would also like to propose that data processing programs just average "identical" reflections measured under the same geometry and count them only once (*), so that, in the end, we will get a realistic number of truly independent measurements.

Cheers,

Dirk.

(*) I don't see a difference between measuring the same reflection with the same geometry n-times and measuring it n-times as long (apart from, maybe, catching instabilities in the experimental setup). Just averaging such "identical" reflections would simplify the subsequent scaling process with equivalent reflections that were measured under different geometry.

On 01.07.20 09:32, Schreuder, Herman /DE wrote:

Dear Bernard and other bulletin board members,

As Gerard mentioned, current data processing programs and table 1’s do not make this distinction, but of course, you are free to ask the community to introduce it.

My proposal to use “measurements per reflections” is not a joke. It exactly describes what is meant by the parameter and it is easily understood even by lay people like journal editors and referees, without the need of lengthy explanations like the ones we have seen in this thread.

I really would like to ask you to consider replacing multiplicity/redundancy/abundancy by MPR. At minimum, it may prevent a thread about completeness of data sets to be hijacked by a discussion on whether use the name multiplicity of redundancy for the number of measurements per reflection.

My 2 cents,

Herman

*Von:* CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> *Im Auftrag von *Bernhard Rupp
*Gesendet:* Dienstag, 30. Juni 2020 17:50
*An:* CCP4BB@JISCMAIL.AC.UK
*Betreff:* Re: [ccp4bb] [EXTERNAL] Re: [ccp4bb] number of frames to get a full dataset?

*EXTERNAL : *Real sender is owner-ccp...@jiscmail.ac.uk <mailto:owner-ccp...@jiscmail.ac.uk>

.…but there is a difference whether I measure the same identical hkl over again or ‘preferably in more than one symmetry-equivalent position’, to quote the

IUCr. So do we have a MPSR for the same reflection and a MPRR for the related reflections?

Cacophonically yours,

BR

*From:*CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK <mailto:CCP4BB@JISCMAIL.AC.UK>> *On Behalf Of *John R Helliwell
*Sent:* Tuesday, June 30, 2020 08:36
*To:* CCP4BB@JISCMAIL.AC.UK <mailto:CCP4BB@JISCMAIL.AC.UK>
*Subject:* Re: [ccp4bb] [EXTERNAL] Re: [ccp4bb] number of frames to get a full dataset?

Dear Herman,

I think that MPR is a very neat and tidy, excellent, proposal.

Moreover it uses the word “measurements”, and we are an experimental based science.

I support it.

Great.

Greetings,

John

Emeritus Professor John R Helliwell DSc

    On 30 Jun 2020, at 15:10, Schreuder, Herman /DE
    <herman.schreu...@sanofi.com <mailto:herman.schreu...@sanofi.com>>
    wrote:

    

    Dear BB,

    Since there does not seem a generally accepted term for the
    subject of this discussions, and since even the IUCR scriptures do
    not give any guidance, I would propose to introduce a completely
    new term:

    Measurements per reflection or MPR

    This term is politically neutral, should adequately describe this
    particular statistic and is not associated with entrenched
    traditions at either side of the Atlantic.

    What do you think?

    Herman

    *Von:*CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK
    <mailto:CCP4BB@JISCMAIL.AC.UK>> *Im Auftrag von *John R Helliwell
    *Gesendet:* Dienstag, 30. Juni 2020 14:34
    *An:* CCP4BB@JISCMAIL.AC.UK <mailto:CCP4BB@JISCMAIL.AC.UK>
    *Betreff:* [EXTERNAL] Re: [ccp4bb] number of frames to get a full
    dataset?

    *EXTERNAL : *Real sender is owner-ccp...@jiscmail.ac.uk
    <mailto:owner-ccp...@jiscmail.ac.uk>

    Dear Colleagues,

    In an effort to break this naming deadlock, and with Massimo and
    Ian not showing up as yet, I checked the IUCr Dictionary.

    “Redundancy“ and “Multiplicity“ are not listed.

    The more generic term “Statistical Descriptors“ is though and even
    offers Recommendations:-

    http://ww1.iucr.org/iucr-top/comm/cnom/statdes/recomm.html
    
<https://urldefense.proofpoint.com/v2/url?u=http-3A__ww1.iucr.org_iucr-2Dtop_comm_cnom_statdes_recomm.html&d=DwMFaQ&c=Dbf9zoswcQ-CRvvI7VX5j3HvibIuT3ZiarcKl5qtMPo&r=HK-CY_tL8CLLA93vdywyu3qI70R4H8oHzZyRHMQu1AQ&m=vb2CFOGKla49hE2sbHAt6LCUz63K7uis9PmSUxUgMcM&s=-45HByHsLJPmc2KRmPKamiFNf1WFCI51GonllFyIRTE&e=>

    Point 1, first sentence, fits the various wishes of this thread
    succinctly, if not in a single word, and even not readily allowing
    an easy acronym.

    Greetings,

    John

    Emeritus Professor John R Helliwell DSc

        On 30 Jun 2020, at 13:11, Phil Jeffrey <pjeff...@princeton.edu
        <mailto:pjeff...@princeton.edu>> wrote:

        The people that already use multiplicity are going to find
        reasons why it's the superior naming scheme - although the
        underlying reason has a lot to do with negative associations
        with 'redundant', perhaps hightened in the current
        environment.  And conversely redundant works for many others -
        Graeme's pragmatic defense of multiplicity actually works both
        ways - any person who takes the trouble to read the stats
        table, now exiled to Supplementary Data, knows what it means.
         Surely, then, the only way forward on this almost totally
        irrelevant discussion is to come up with a universally-loathed
        nomenclature that pleases nobody, preferably an acronym whose
        origins will be lost to history and the dusty CCP4 archives
        (which contain threads similar to this one).  I humbly submit:

        NFDOF: Nearly Futile Data Overcollection Factor ?
        [*]

        Or, even better, could we not move on to equally pointless
        discussions of the inappropriateness of "R-factor" ?  I have a
        long history of rearguard action trying to give stupid
        acronyms a wider audience, so you're guaranteed to hear from
        me on this for years.

        (Personally I'm pining for Gerard Kleywegt to resume his quest
        for overextended naming rationales, of which ValLigURL is a
        personal 'favo[u]rite'.  But I'm just old-fashioned.)

        Ironically,
        Phil Jeffrey
        Princeton

        [* I too have collected 540 degrees in P1 to solve a SAD
        structure, just because I could, hence "nearly"]
        [** The actual answer to this thread is: history is written by
        the authors of scaling programs - and I think the Americans
        are currently losing at this game, thus perilously close to
        making themselves redundant.]

        On 6/30/20 4:14 AM, Winter, Graeme (DLSLtd,RAL,LSCI) wrote:

            Or, we could accept the fact that crystallographers are
            kinda used to multiplicity of an individual Miller index
            being different to multiplicity of observations, and in
            Table 1 know which one you mean? 😉Given that they add new
            information (at the very least to the scaling model) they
            are strictly not “redundant”.

            The amount that anyone outside of methods development
            cares about the “epsilon” multiplicity of reflections is …
            negligible?

            Sorry for chucking pragmatism into a dogmatic debate 😀

            Cheerio Graeme


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Gene Center Munich
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