How do I perform a Repeated Measures ANOVA for the mean of each time point?

I have the mean pupil trace for two diffrent conditions (choice Repitition and Alternation) in a 750ms window. If I want to assess the varience of the mean at each time point would this function be apporpriate? Thanks in advance !

%if      n = mean(rep)   1x750 double
%and   y= mean(alt)    1x750 double
t=table(n(1,:) y(1,:))      % Stores the means into table and labels them var 1 and var 2 
P=table({1 2})
rm=fitrm(t,'var1 var2', 'WithinDesign', P)

[Adam Danz]

What does it mean to "assess the variance of the mean" at each time point?

You are not setting up the fitrm() correctly but let's first understand what you're trying to do.

[Andrew Lorimer]

Hey Adam ,

I am trying to determine the varience for each of the two mean pupil traces at each point (1-750 ms ) during the trace. I want to figure out if the two mean traces are significantly diffrent from eachother at each point if that helps.

Thanks,

[Adam Danz]

To be sure I understand your data, you have two signals that vary across a 750ms window sampled at 1ms resolution and each signal has multiple measurments. So for each millisecond, you have two distributions of values; one from each signal. And at each ms, you want to determine if those two distributions are significantly different from each other. Is that correct?

Question #2 (if the first question is correct) are the distributions approximately normally distributed?

If the answer is no, could you share a plot so we can see the data?