r21289 - /branches/relax_disp/docs/latex/dispersion.tex -- October 28, 2013 - 16:57

Author: bugman
Date: Mon Oct 28 16:57:03 2013
New Revision: 21289

URL: http://svn.gna.org/viewcvs/relax?rev=21289&view=rev
Log:
A number of fixes for the script UI section of the dispersion chapter of the 
manual.

The NUMERIC_ONLY variable is now explained and the R1rho MODEL list has been 
changed to a set of
reasonable models.


Modified:
    branches/relax_disp/docs/latex/dispersion.tex

Modified: branches/relax_disp/docs/latex/dispersion.tex
URL: 
http://svn.gna.org/viewcvs/relax/branches/relax_disp/docs/latex/dispersion.tex?rev=21289&r1=21288&r2=21289&view=diff
==============================================================================
--- branches/relax_disp/docs/latex/dispersion.tex (original)
+++ branches/relax_disp/docs/latex/dispersion.tex Mon Oct 28 16:57:03 2013
@@ -1001,10 +1001,10 @@
 
 But note that the selection of which models to use is incredibly important.
 Do not use models which are not suitable for the data as that will cause the 
final results to contain rubbish.
-If you have $\Ronerho$-type data, the models could be changed to:
+If you have $\Ronerho$-type off-resonance data, the models could be changed 
to:
 
 \begin{lstlisting}[numbers=none]
-MODELS = ['R2eff', 'No Rex', 'M61', 'DPL72', 'TP02']
+MODELS = ['R2eff', 'No Rex', 'DPL94', 'NS R1rho 2-site']
 \end{lstlisting}
 
 The next variable affects the optimisation precision:
@@ -1034,12 +1034,25 @@
 
 The \pycode{MODSEL} variable defines how the best dispersion model for the 
measured data is chosen:
 
-\begin{lstlisting}[firstnumber=29]
+\begin{lstlisting}[firstnumber=26]
 # The model selection technique to use.
 MODSEL = 'AIC'
 \end{lstlisting}
 
 For the automated analysis, currently only AIC\index{model selection!AIC}, 
AICc\index{model selection!AICc}, and BIC\index{model selection!BIC} are 
supported.  For details about these frequentist\index{model 
selection!frequentist} model selection techniques and their application to 
NMR data, see \citet{dAuvergneGooley03}.  Post-analysis comparisons can also 
be preformed if desired.
+The \pycode{NUMERIC\_ONLY} variable can be used to choose if only numeric or 
all models will be used in the model selection for the final results:
+
+\begin{lstlisting}[firstnumber=29]
+# The flag for only using numeric models in the final model selection.
+NUMERIC_ONLY = False
+\end{lstlisting}
+
+To only use numeric models in the model selection while allowing models such 
as 'CR72' to be optimised and used as the starting point for the numeric 
models, change this variable to:
+
+\begin{lstlisting}[numbers=none]
+NUMERIC_ONLY = True
+\end{lstlisting}
+
 The last variable allows spins with insignificant dispersion profiles to be 
deselected:
 
 \begin{lstlisting}[firstnumber=32]