r7707 - /1.3/prompt/relax_fit.py -- October 15, 2008 - 17:40

Author: bugman
Date: Wed Oct 15 17:40:15 2008
New Revision: 7707

URL: http://svn.gna.org/viewcvs/relax?rev=7707&view=rev
Log:
Replaced all references to 'residue' by 'spin' in the 
relax_fit.mean_and_error() user fn docstring.


Modified:
    1.3/prompt/relax_fit.py

Modified: 1.3/prompt/relax_fit.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/prompt/relax_fit.py?rev=7707&r1=7706&r2=7707&view=diff
==============================================================================
--- 1.3/prompt/relax_fit.py (original)
+++ 1.3/prompt/relax_fit.py Wed Oct 15 17:40:15 2008
@@ -46,11 +46,10 @@
         """Function for calculating the average intensity and standard 
deviation of all spectra.
 
 
-        Errors of individual residues at a single time point
-        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-        The standard deviation for a single residue at a single time point 
is calculated by the
-        formula
+        Errors of individual spin at a single time point
+        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+        The standard deviation for a single spin at a single time point is 
calculated by the formula
 
         -----
                      ____________________________
@@ -67,8 +66,8 @@
         ~~~~~~~~~~~~~~~~~~~~~~~
 
         As the value of n in the above equation is always very low, normally 
only a couple of
-        spectra are collected per time point, the standard deviation of all 
residues is averaged for
-        a single time point.  Although this results in all residues having 
the same error, the
+        spectra are collected per time point, the standard deviation of all 
spins is averaged for
+        a single time point.  Although this results in all spins having the 
same error, the
         accuracy of the error estimate is significantly improved.
 
 
@@ -79,7 +78,7 @@
         supported), the each time point will have its own error estimate.  
However, if there are
         time points in the series which only consist of a single spectrum, 
then the standard
         deviations of replicated time points will be averaged.  Hence, for 
the entire experiment
-        there will be a single error value for all residues and for all time 
points.
+        there will be a single error value for all spins and for all time 
points.
 
         A better approach rather than averaging across all time points would 
be to use a form of
         interpolation as the errors across time points generally decreases 
for longer time periods.