Hi Edward.

I was wondering to throw an error, if the R2eff model is used with this.

Best
Troels

2015-01-19 10:17 GMT+01:00 Edward d'Auvergne <edw...@nmr-relax.com>:

> Hi Troels,
>
> This still has the same problems with the R2eff model as mentioned at
> http://thread.gmane.org/gmane.science.nmr.relax.scm/24963/focus=7490.
>
> Regards,
>
> Edward
>
>
>
> On 17 January 2015 at 17:25,  <tlin...@nmr-relax.com> wrote:
> > Author: tlinnet
> > Date: Sat Jan 17 17:25:20 2015
> > New Revision: 27219
> >
> > URL: http://svn.gna.org/viewcvs/relax?rev=27219&view=rev
> > Log:
> > Added API function in relaxation dispersion to return error structure
> from the reduced chi2 distribution.
> >
> > Task #7882 (https://gna.org/task/?7882): Implement Monte-Carlo
> simulation, where errors are generated with width of standard deviation or
> residuals.): Implement Monte-Carlo simulation, where errors are generated
> with width of standard deviation or residuals.
> >
> > Modified:
> >     trunk/specific_analyses/relax_disp/api.py
> >
> > Modified: trunk/specific_analyses/relax_disp/api.py
> > URL:
> http://svn.gna.org/viewcvs/relax/trunk/specific_analyses/relax_disp/api.py?rev=27219&r1=27218&r2=27219&view=diff
> >
> ==============================================================================
> > --- trunk/specific_analyses/relax_disp/api.py   (original)
> > +++ trunk/specific_analyses/relax_disp/api.py   Sat Jan 17 17:25:20 2015
> > @@ -27,7 +27,7 @@
> >  # Python module imports.
> >  import bmrblib
> >  from copy import deepcopy
> > -from numpy import int32, zeros
> > +from numpy import int32, sqrt, zeros
> >  from re import match, search
> >  import string
> >  import sys
> > @@ -1035,6 +1035,44 @@
> >
> >          # Return the error list.
> >          return errors
> > +
> > +
> > +    def return_error_red_chi2(self, data_id=None):
> > +        """Return the standard deviation data structure, where standard
> deviation is from the overall gauss distribution described by the STD_fit
> of the goodness of fit, where STD_fit = sqrt(chi2/(N-p))
> > +
> > +        @param data_id: The tuple of the spin container and the
> exponential curve identifying key, as yielded by the base_data_loop()
> generator method.
> > +        @type data_id:  SpinContainer instance and float
> > +        @return:        The standard deviation data structure.
> > +        @rtype:         list of float
> > +        """
> > +
> > +        # Get the errors structure as above.
> > +        errors = self.return_error(data_id=data_id)
> > +
> > +        # Unpack the data.
> > +        spin, spin_id = data_id
> > +
> > +        # Loop over the spin groupings for the model.
> > +        for spin_ids in self.model_loop():
> > +            # If the spin of interest is in the returned spin cluster.
> > +            if spin_id in spin_ids:
> > +                # Get the statistics
> > +                k, n, chi2 = self.model_statistics(model_info=spin_ids)
> > +
> > +                # Calculate degrees of freedom.
> > +                dof = n - k
> > +
> > +                # Calculate reduced chi2, or named as the variance of
> the squared residuals.
> > +                red_chi2 = chi2 / float(dof)
> > +
> > +                # Calculated the standard deviation.
> > +                std_red_chi2 = sqrt(red_chi2)
> > +
> > +                # Replace values with the stored value.
> > +                for id in errors:
> > +                    errors[id] = std_red_chi2
> > +
> > +                return errors
> >
> >
> >      def return_value(self, spin, param, sim=None, bc=False):
> >
> >
> > _______________________________________________
> > relax (http://www.nmr-relax.com)
> >
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