Hi,
i try to choose the window size for the windowed recurrence quantification analysis of soccer games. I used the method from Dr. Marvan's diploma thesis. I took increasing window size over the data and calculated the RQA values (wmin = 20 and wmax = 800) . For these i computed the average and the standard deviation for each window size. I ploted the values of L against the increasing window size and the standard deviation against the window size also. for each game L reachs a plateau like it is described in the thesis, but there is no plateau (values are still decreasing) for the standard deviations (RR, DET, LAM, ENT). So i know the minimal window size is at the beginning of the plateau of L, but what i didn't know is how big i can choose the window? Would you call that plateaus? Does anyone have a hint for me? Would be nice.
the results depend on the window size and also on the length of the entire time series, i.e., how many windows you finally will have. This would need some consideration from your side.
Regarding the plot and the plateaus: I would not really call them plateaus, but after window size 150 the fast decrease of the curves changes to a very slow decrease. Therefore, this value can be considered equivalent as the beginning of the plateau in L.