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* [https://github.com/nmr-relax/relax/blob/master/sample_scripts/model_free/table_csv.py table_csv.py] Script for converting the model-free results into a CSV table.
* [https://github.com/nmr-relax/relax/blob/master/sample_scripts/model_free/table_latex.py table_latex.py] Script for converting the model-free results into a LaTeX table.
== Other script inspiration for checking ==
The distribution of relax includes a folder '''sample_scripts/''' which contain a folder with scripts for analysis.
It can be seen here: https://github.com/nmr-relax/relax/tree/master/sample_scripts
* [https://github.com/nmr-relax/relax/blob/master/sample_scripts/noe.py noe.py] Script for calculating NOEs.
* [https://github.com/nmr-relax/relax/blob/master/sample_scripts/consistency_tests.py consistency_tests.py] Script for consistency testing.
Severe artifacts can be introduced if model-free analysis is performed from inconsistent multiple magnetic field datasets. The use of simple tests as validation tools for the consistency assessment can help avoid such problems in order to extract more reliable information from spin relaxation experiments. In particular, these tests are useful for detecting inconsistencies arising from R2 data. Since such inconsistencies can yield artifactual Rex parameters within model-free analysis, these tests should be use routinely prior to any analysis such as model-free calculations.
This script will allow one to calculate values for the three consistency tests J(0), F_eta and F_R2. Once this is done, qualitative analysis can be performed by comparing values obtained at different magnetic fields. Correlation plots and histograms are useful tools for such comparison, such as presented in Morin & Gagne (2009a) J. Biomol. NMR, 45: 361-372.
* [https://github.com/nmr-relax/relax/blob/master/sample_scripts/ ]
= Scripts - Dont use this section =
