While we are on the topic of model selection/optimization, I am  
having some trouble with relax 1.2's full_analysis.py script.  I have  
optimized the local_tm run, and I ran the initial run on the oblate  
tensor (init).  When I attempt to optimize the oblate run (round_1),  
I see the following error a:

relax> results.write(run='final', file='results', dir='oblate/round_1/ 
aic', force=1, format='columnar', compress_type=1)Opening the file  
'oblate/round_1/aic/results.bz2' for writing.RelaxError: The sequence  
data for the run 'final' does not exist.

Any ideas?

Thanks,
Doug


On Apr 30, 2007, at 10:11 AM, Clare-Louise Evans wrote:

> Dear Edward,
>
> Sorry for the thread hijack, but I noticed in the PS section of the
> quote Hongyan has included below your comment regarding convergence.
>
> I am having problems with convergence at the moment when running the
> full_analysis.py script.  I have run the optimisation of the diffusion
> models on the same PC.  For the oblate, prolate and ellipsoid models I
> have failed to reach convergence after 30+ rounds.  The sphere model
> converged within 5 rounds.  However, when I look at the output the  
> only
> difference between the chi-squared and other parameter values is in  
> the
> 10th and later decimal places.  Surely, with having such small
> differences between the values they can be considered to have
> converged.  However, in your comment you state they have to be
> identical.  If this really is the case then I'm not sure how to  
> proceed
> given that I'm failing to reach convergence on these 3 models?
>
> Apologies if this ties in to the question I asked yesterday regarding
> full_analysis.py.
>
> Kind regards
> Clare
>
> Hongyan Li wrote:
>> Dear Edward,
>> Thanks for your early suggestion regarding different model  
>> selections. I have
>> been busy on other stuff and only recently got time to focus on  
>> this subject
>> again.
>> I have run all the diffusion models e.g. isotropic, prolate,  
>> oblate and
>> ellipsoid and model selections were made within each model (in aic  
>> directory).
>> I am not sure how to write a script to select different models using
>> 'model_selection()'. Could you please do me a favor?
>> Your help is highly appreciated!
>> Best wishes,
>> Hongyan
>>
>> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>>
>>
>>> Hi,
>>>
>>> To compare the results what you need to employ is a technique  
>>> from the
>>> statistical field of model selection.  The spherical diffusion
>>> (isotropic) + all model-free models of all selected residues is one
>>> single mathematical model.  The prolate and oblate spheroids  
>>> (prolate
>>> and oblate axially symmetric anisotropic diffusion tensors) + all
>>> model-free models, and the ellipsoid (fully anisotropic or three
>>> different eigenvalues) + all model-free models, are three additional
>>> mathematical models.  Therefore to compare these four different  
>>> models
>>> you need to select the model which best represents your relaxation
>>> data.  These models are, however, not nested and therefore cannot be
>>> compared using ANOVA F-tests!  Firstly the three types of diffusion
>>> tensor are not nested (there is a reference from Dominique Marion's
>>> group in which they say ANOVA statistics cannot be used but I can't
>>> find it at the moment (although it shouldn't be too hard to track
>>> down, it's related to Tensor)).  Secondly the model-free models
>>> selected will be different between the four models.  Hence chi- 
>>> squared
>>> and F-tests cannot be used.
>>>
>>> A useful reference (I'm not at all biased ;) for this problem is my
>>> paper d'Auvergne, E. J. and Gooley, P. R. (2003), (see
>>> http://www.nmr-relax.com/refs.html for the full reference).  On page
>>> 37 at the end of that paper I discuss how AIC model selection is
>>> perfect for selecting between these non-nested models.  The AIC
>>> criterion is still
>>>
>>> AIC = chi2 + 2k,
>>>
>>> however chi2 is the minimised chi-squared value for the complete  
>>> model
>>> and k is the sum of the number of diffusion parameters and number of
>>> model-free parameters for all spin systems.  BIC model selection is
>>> likely to work quite well as well.  If you have four runs, one for
>>> each of the diffusion models, then the relax user function
>>> 'model_selection()' is designed to select between these models.  I
>>> hope this helps and hasn't been too biased.
>>>
>>> Cheers,
>>>
>>> Edward
>>>
>>>
>>> P.S.  Prior to model selection between the diffusion models, the
>>> diffusion models must have fully converged.  Multiple iterations of
>>> optimisation of the model-free models, AIC model selection, and
>>> optimisation of all parameters together (diffusion tensor + model- 
>>> free
>>> parameter of all residues) must be executed.  Convergence is when  
>>> two
>>> iterations possess identical chi-squared values, identical model- 
>>> free
>>> models, and identical parameter values.
>>>
>>>
>>> On 3/2/07, Hongyan Li <[EMAIL PROTECTED]> wrote:
>>>
>>>> Dear relax users,
>>>> I have managed to use Relax to run my dynamics data by both  
>>>> isotropic and
>>>> axial-oblate models. My qestion is how to compare the results, by
>>>>
>>> chi-square??
>>>
>>>> what is the criteria to make judgment that which residues is beter
>>>>
>>> simulated
>>>
>>>> with which model?
>>>>
>>>> Thanks for your kind help!
>>>>
>>>> Best wishes,
>>>>
>>>> Hongyan
>>>>
>>>> Dr. Hongyan Li
>>>> Department of Chemistry
>>>> The University of Hong Kong
>>>> Pokfulam Road
>>>> Hong Kong
>>>>
>>>>
>>>> _______________________________________________
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>>>>
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>>>>
>>
>>
>> Dr. Hongyan Li
>> Department of Chemistry
>> The University of Hong Kong
>> Pokfulam Road
>> Hong Kong
>>
>>
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