Changes

* Wrote a method to store parameter data and dispersion curves, for the protocol of repeated CPMG analysis. This is to prepare for analysis in other programs. The method loops through the data pipes, and writes the data out. It then writes a bash script that will concatenate the data in an matrix array style, for reading and processing in other programs. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].* Added to write out a collection script for χ² and rate parameters. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].* In the collection bash script, removes spins which have not been fitted. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].* Fix for use of " instead of ' in bash script. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].* Adding option to minimise class function, to perform Monte Carlo error analysis. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].* Printout when minimising Monte Carlo simulations. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].* Added additional test to system test Relax_disp.test_bug_23186_cluster_error_calc_dw() to prove that Bug #23619 is invalid. [https://gna.org/bugs/?23619 Bug #23619]: Stored chi2 sim values from Monte Carlo simulations does not equal normal chi2 values].* Small fix for the shell script to collect data files, and not use the program "column" in the end. The line width becomes to large to handle for column. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].

* Added sample data and analysis script, that will eventually show that there is not much difference in the sample statistics used for comparing the output of two very similar datasets. This is a multiple comparison test with many T-tests at once, where the familywise error is controlled by the Holm method. Even if the values are close to equal, and within the standard deviation, this procedure will reject up to 20% of the null hypothesis. This is not deemed as a suitable method. [https://gna.org/bugs/?23644 Bug #23644]: monte_carlo.error_analysis() does not update the mean value/expectation value from simulations].

* Made a summarize function to compare results. [https://gna.org/task/?7826 Task #7826]: Write an Python class for the repeated analysis of dispersion data].

* Fix committed, where an empty spin placeholder has the select flag set to False. [https://gna.org/bugs/?23642 Bug #23642]: When deleting all spins for a residue, an empty placeholder is where select=True].