Hi Troels,
I really cannot follow and judge how the techniques compare. I must
be getting old. So to remedy this, I have created the
test_suite/shared_data/dispersion/Kjaergaard_et_al_2013/exp_error_analysis/
directory (r25437,
http://article.gmane.org/gmane.science.nmr.relax.scm/23187). This
contains 3 scripts for comparing R2eff and I0 parameters for the 2
parameter exponential curve-fitting:
1) A simple script to perform Monte Carlo simulation error analysis.
This is run with 10,000 simulations to act as the gold standard.
2) A simple script to perform covariance matrix error analysis.
3) A simple script to generate 2D Grace plots to visualise the
differences. Now I can see how good the covariance matrix technique
is :)
Could you please check and see if I have used the
relax_disp.r2eff_err_estimate user function correctly? The Grace
plots show that the error estimates are currently terrible.
Cheers,
Edward
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