Author: tlinnet Date: Tue Sep 2 10:29:48 2014 New Revision: 25530 URL: http://svn.gna.org/viewcvs/relax?rev=25530&view=rev Log: Added comments to co-variance module, for explanation of data dimensionality.
task #7824(https://gna.org/task/index.php?7824): Model parameter ERROR estimation from Jacobian and Co-variance matrix of dispersion models. Modified: branches/est_par_error/lib/statistics.py Modified: branches/est_par_error/lib/statistics.py URL: http://svn.gna.org/viewcvs/relax/branches/est_par_error/lib/statistics.py?rev=25530&r1=25529&r2=25530&view=diff ============================================================================== --- branches/est_par_error/lib/statistics.py (original) +++ branches/est_par_error/lib/statistics.py Tue Sep 2 10:29:48 2014 @@ -229,6 +229,11 @@ # Get the expected shape of the higher dimensional column numpy array. if len(weights.shape) == 2: # Extract shapes from data. + # NE: Number of experiments. + # NS: Number of spins. + # NM: Number of spectrometer frequencies. + # NO: Maximum number of offsets. + # ND: Number of dispersion(data) points. NE, NS, NM, NO, ND = 1, 1, 1, 1, weights.shape[-1] # Make a eye matrix, with Shape [ND][ND] _______________________________________________ relax (http://www.nmr-relax.com) This is the relax-commits mailing list [email protected] To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-commits
