r25530 - /branches/est_par_error/lib/statistics.py -- September 02, 2014 - 10:29

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]