Hi,

i just asked before about the embedding parameters, but I found my mistake.

Now I have a question about the computation of recurrence plots for multiple time series. I try to analyse the positional data (X,Y) of each soccer player for each second in a soccer game. Thus I have 44 time series with over 5000 datapoints and i want to analyse the recurrence of the players positions over the whole game.

Up to now I calculated crps for each time series (size: (1: 5492)) in the gui, got recurrence plots there. But I wanted to compare the X and Y positions together and also all players and not only one.

Thats why I computed a RP for each time series ( for X and Y of all players) and multiplied them.

for example:

first player:

RPx1 = crp(x1,1,25,.1,'rr');

RPy1 = crp(y1,1,7,.1,'rr');

second player:

RPx2 = crp(x2,1,20,.1,'rr');

RPy2 = crp(y2,1,25,.1,'rr');

...

--> JRP = RPx1.*RPy1.*RPx2.*RPy2....;

My question is how can I build a recurrence plot of this matrix (JRP) after that?

please excuse my many questions and thank you for answering me!

Best regards,

Denise