u/JoeVibin

>Our beloved bourgeois leaders would never, ever side with genocide of their own volition!!!

>They've been tricked and blackmailed bro!!!

>It's not like their whole societal class system leads to atrocities, it's all because of (((Mossad agent Epstein))), trust me bro!!!!!!

This is how these profound thinkers mock at the whole world!

Sorry if this question is basic, I have not done statistics in quite a long time.

I ran an experiment in which I recorded heart rate data and (cumulative average) movement values (displacement, velocity, etc.) from different VR sensors of a few participants.

I want to analyse the data to find out which of the sensor readings best correspond to heart rate data.

However, I do not know how to combine correlation coefficients from different participants to get overall correlation values.

I am thinking of two approaches:

• Cross-correlation - however, I do not know how to correctly combine them for multiple participants.

• Repeated measures correlation, as described in this article - however, I am not sure if it is correct for time-series data (I think at minimum I will have to adjust the lag manually?)

Does either of these approaches seem correct for this type of data? What other methods can I use for this?

Thanks