Fixed window length
Fixed minor output formatting issues
First correlation_test() version (replacing previous chisquare_test)
First "working" commit (as in: it does not crash, but does not produce usable plots)
correlation_test() is now working (and tested)
Revert "correlation_test() is now working (and tested)"

This reverts commit 3c18d6f87fb8c80f0c517d395fd92346a69be507.
Removed a debugging print statement
Added clickable html in correlations_test()
Final Release for correlations_test(), tested and working
Merge branch 'develop', added a correlation_plot for each observation in each type
as a sanity check for goodness of clustering
Removed a useless snippet
Merge branch 'develop' of github.com:lscsoft/pcat into develop
Added matched filtering test on types classification, based on code from correlations test
Added ":1" to flags, as they should be
Added ":1" to flags, as they should be
Added matched filtering clustering test (verified and working)
Added polarity attribute to spikes (time domain analysis) for polarity: all transients are saved with the maximum amplitude oriented up (positive polarity). Polarity is saved as an attribute in Spike() objections (spike.polarity) and is +1 for positive polarity and -1 for negative polarity. This means that PCA/Clustering is performed on a set whose polarities are all positive. Time series for glitches are plotted with the right polarity, and the polarity percentage is shown in the average transients (All Types) plot.
Fixed a counter in a for cycle (polarities list)
Fixed bug that crashed when running frequency domain (polarities problem)
Added the option to save glitchgram with a different name (glitchgram())