Finding an average of 1XN vector using iteration.

 I am trying iterate a 1xN vector but I am having a hard time setting up the loop for the question below.

 To do this, find the initial mean of the input vector, then remove 10 values off the front of that vector; find a second mean of the shortened vector, then calculate the relative change between those two mean values. Then treat the shortened vector as the original, and repeat those steps until the relative change is less than or equal to 0.0005.

[dpb]

So show us what you've tried and where you got stuck, specifically...

I'd think unless the data have special characteristic the above doesn't necessarily converge, however...I'd think the mean would become less stable as remove data (shorter series), not more so???

[Kratos]

 function [val per] = findSS(in)

 i 
while 
    avg1 = mean(in);
    in(1:10) = [];
    avg2 = mean(in);
    change = (abs(avg2-avg1)/avg1);
end
val = ;

 end

This is what I have so far, I just don't know what to put after while and how to get the final answer.

[dpb]

OK, after you've gotten the two averages, you need to then test the magnitude of the difference against the criterion for stopping (which you've not yet included anywhere and then, if it's less or equal you're done; otherwise set

avg1=avg2;

before the loop begins again...

I'll leave actual code mod's for you make and then we can look at next iteration of it, too... :)