How can I compute the mean value over a time interval?

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Hi veryone!
I have a matrix of 2 colums (one vector time, one vector values) and i'd like to compute the mean value over a time interval.
How can i do that?
thank you very much in advance

Answers (2)

Chad Greene
Chad Greene on 23 Apr 2021
Hi Anna, welcome to the forum.
With these types of questions it always helps if you can provide a minimal working example. But you explained the problem well enough that I think I can come up with one.
So you have a matrix M whose columns correspond to time and some dependent variable. Let's say M looks like this:
M = [(1:100)' (1:100)'.^2+randn(100,1)];
Plot the first and second colums to see what kind of data we're looking at:
plot(M(:,1),M(:,2))
xlabel time
To get the average over some interval, say between t = 55 and t=65, get the indices of that range:
ind = M(:,1)>=55 & M(:,1)<65;
Then calculate the mean of column 2 over the interval:
mean(M(ind,2))
ans = 3.5481e+03

Eric Sofen
Eric Sofen on 7 May 2021
If you have, for example, data once per second for an hour and you want to calculate mean values for each minute, I'd recommend using a timetable to store the data and using the retime function. Something like this
% Synthetic data
t = timetable(seconds(0:3600)',rand(3601,1));
tAvg = retime(t,"minutely","mean");
tAvg.Time.Format = 'm' % Display times in minutes
  2 Comments
Eric Sofen
Eric Sofen on 29 Nov 2022 at 16:46
retime(t,"monthly","mean")
The NewTimeStep positional argument lists the possible automatic aggregations around calendar unit. If you wanted to do something custom, you can also specify a new time vector. For example, if you wanted to average into 10-day bins, you might construct a time vector something like:
tvNew = t.Time(1):days(10):t.Time(end)
retime(t,tvNew,"mean")

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