Calculate Running average of large data set

I have a data structure. I can plot the time vs. temp using this command:

scatter(getcolumn(C{1, 1}(:,[1,6]),1), getcolumn(C{1, 1}(:,[1,6]),2))

The problem is I have so much data, there is a lot of noise. How can I plot the a moving average which uses X amount of points before the current point (and including the current point)

Answer 1

[Naman Chaturvedi]

Hello Benjamin,

You can use the movmean function to calculate the moving average of the data as follows:

>> M = movmean(A,[kb kf]) %computes the mean with a window of length kb+kf+1 that includes the element in the current position, kb elements backward, and kf elements forward.

Hope this helps.