relax SVN archive

Implemented storing of sum of squares and the standard deviation of these for relaxation dispersion, when doing a point calculation.

Task #7882 (https://gna.org/task/?7882): Implement Monte-Carlo simulation, where errors are generated with width of standard deviation or residuals.

Implemented target function for relaxation dispersion, which calculate the sum of squares of residuals and the standard deviation of these.

Task #7882 (https://gna.org/task/?7882): Implement Monte-Carlo simulation, where errors are generated with width of standard deviation or residuals.

Start of implementation of systemtest Relax_disp.test_task_7882_monte_carlo_std_residual, to test doing Monte-Carlo simulations with errors drawn from a
Gauss distribution with a width corresponding to the standard devition of the sum of squares of residuals.

Task #7882 (https://gna.org/task/?7882): Implement Monte-Carlo simulation, where errors are generated with width of standard deviation or residuals.

Added save state for testing implementation of error analysis.

Task #7882 (https://gna.org/task/?7882): Implement Monte-Carlo simulation, where errors are generated with width of standard deviation or residuals.

Improvements for the rdc.corr_plot user function - the plot range is now determined by the data.

Improvements for the pcs.corr_plot user function - the plot range is now determined by the data.

Fix for the rdc.corr_plot user function.

The Y-axis is now set to the measured RDC, as the RDC errors are plotted as dY errors. This matches
the behaviour of the pcs.corr_plot user function.

Improvements for the plots created by the pcs.corr_plot user function.

The axes now have labels, and have the range and number of ticks set to reasonable values.

Small whitespace formatting fix for the titles printed by the align_tensor.display user function.

Created a development document for catching segfaults and other errors in the GUI tests.

This is needed as not all wxPython errors can be caught in the Python unittest framework.