Dear Prof. Marwan,
thank you very much for the immediate answer.
I will try to specifying my data: I have the positional data (X and Y) of all players for each tenth of each second over the whole soccer game.
I have already computed some "global" recurrence plots (with c#) based on the correlation of the position of each player to each second. Therefore I tried to generate quantitative and qualitative parameters out of the plot to describe the game. Secondly i generated plots based on the mean distance between the players from each second to each other second and set a value of 7 meters to get a "local" recurrence plot.
With the RQA i hope to get parameters, which describe the order of the game much better.
Back to the embedding parameters m and tau: I tried the advice you gave me. Thanks for that. But the 1/e and the ACF didn’t cross each other, so I scaled the ACF with natural logarithm. After that I got e.g. m=200 and tau = 190 for the first time series x1 (the x coordinates of the first player). But while computing an crp for this, the error occurred that the Dimension m or/and the delay T are too big.
>>RP1 = crp(x1, 200, 190, .1,'rr','silent');
Do you have an idea what is wrong?
Best regards,
Denise