index = 2;
for i = 217:size(T,1)
mean_240(index) = mean(T((i-239):i),'omitnan');
index = index+1;
i have a 3192x1 vector and i want to calculate the 'backward' mean of every element of T ,considering the last 240 elements of each datapoint. i want to start at datapoint T(217) (the first 216 elements mean are calctulaeted seperately outside the lop), but as you can see, there are not enough values from 1:216 to calculate a 240element-mean and the above code won't work. so i want to modify the mean calculation until there are enough elements to proceed with the 240-mean-loop.
E.G. for the first for-loop step i = 217 the mean would be
mean_240(2) = mean(T((i-216):i),'omitnan');
and for the next step i = 218 we can use one more sample point to calculate the mean
mean_240(3) = mean(T((i-217):i),'omitnan');
.. and so on until we reach i = 240, then we above loop would work and we can calculate the whole 240point mean for the other sample points. how can i write that?