Basically, I have two timestamped datasets.I DID spend lot of time searching for an answer without anything convincing.
The first dataset is of continuous variables. It is under this format:
Timestamp P1 P2 P3 P4 14:47 15/09/2016 340 364 329 0.2 15:18 15/09/2016 366 365 301 0.5
The other is a history of signifcant events and their timestamps:
Timestamp Event 14:47:24 15/09/2016 E1,E3 14:48:15 15/09/2016 E2 15:37:02 15/09/2016 E5
What I want to do is to identify implicit relations between events appearance and changes in the variables values.For this purpose, I thought of using the correlation ration but I am not sure it is suited for this kind of problems .
Do you know other measures that are suitable for this problem?