How to calculate coefficient of variation for every element in Matrix?

Hi,

I'm trying to calculate coefficient of variation for every elemnt in an array but I kept getting this error:

Error using reshape

Product of known dimensions, 521250, not divisible into total number of elements, 1.

here is my code:

(datan) is my raw data with the length of 521250

tm= ceil(length (datan));

mn= mean(reshape([datan(:)],tm,[]));

sd=std(reshape([datan(:)],tm,[]));

cv=reshape((sd./mn)*100,[],tm);

Any help would be appreciated. Thanks in advance!

Answer 1

[David Hill]

cv=std(datan,0,'all')/mean(datan,'all');

[Saad Alqahtani]

Thanks for the answer. But I'm hoping to get an array of cv as the same size as the datan. So, my ultimate goal is tha I can see how the cv changes over time. However, from the line I got from you, I only get one value which is not what I'm trying to do. Thanks again.