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Posted by sebastien . morin on September 06, 2012 - 11:48:
Author: semor
Date: Thu Sep  6 11:48:22 2012
New Revision: 17472

URL: http://svn.gna.org/viewcvs/relax?rev=17472&view=rev
Log:
Added some text to explain why test only J(0) is discussed whereas the script 
also calculated F_R2 and F_eta.

This was suggested by Edward d'Auvergne in a post at:
https://mail.gna.org/public/relax-devel/2012-09/msg00044.html
(Message-id: 
<CAED9pY9U46ga6_j245peX1ETNZc_Lw0f5cz+5xx5rGVhee29YA@xxxxxxxxxxxxxx>)

Modified:
    trunk/docs/latex/consistency_tests.tex

Modified: trunk/docs/latex/consistency_tests.tex
URL: 
http://svn.gna.org/viewcvs/relax/trunk/docs/latex/consistency_tests.tex?rev=17472&r1=17471&r2=17472&view=diff
==============================================================================
--- trunk/docs/latex/consistency_tests.tex (original)
+++ trunk/docs/latex/consistency_tests.tex Thu Sep  6 11:48:22 2012
@@ -24,9 +24,11 @@
 \item[$F_{R_2}$]  A consistency function proposed by \citet{Fushman98}.
 \end{description}
 
+These three tests are very similar (all probing consistency of $R_2$ data 
and all suffering from the same limitations) and any of them can be used for 
consistency testing.  In the example below, the $J(0)$ values are used for 
consistency testing.
+
 Different methods exist to compare tests values calculated from one field to 
another.  These include correlation plots and histograms, and calculation of 
correlation, skewness and kurtosis coefficients. The details of how to 
interpret such analyses are avaliable at the end of this chapter in 
Section~\ref{sec: Visualisation and data output}.
 
-For more details on the implementation within relax, see:
+For more details on the tests and their implementation within relax, see:
 
 \begin{itemize}
 \item \bibentry{MorinGagne09a}




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