How to calculate and represent the mean values of many distincts time series?

Hi everybody, I am struggling to find the mean values of say 30 distinct time series representing the same phenomena. Is there a nice way to represent graphically the time series obtained from the mean values of the 30 distinct series? I would be very grateful for guidance. Kind regards, Massilon.

[dpb]

Think we need some more background here...mean over what, the 30 series at each time value, the mean of each series over time, what?

I really can't then decide what the graphical representation wanted sentence is referring to.

Answer 1

[Peter Perkins]

As dpb says, hard to guess. If you do mean, "the 30 series all have the same sample times, and I want to compute the mean of the 30 series at each sample time", and you are using R2016b or later, that sounds like you could use a timetable.

tt = array2timetable(yourDataAsColumns,'RowTimes',yourSampleTimes)
tt.MeanVal = mean(tt.Variables,2);
plot(tt.Time,tt.MeanVal)

Prior to R2016b, you could do essentially the same thing using an ordinary table.