Accepted Answer

Chunru
Chunru on 24 May 2022
Edited: Chunru on 24 May 2022
hrerror = randn(100, 1); % generate some random data
hr_rmse =rms(hrerror) % use rms function
hr_rmse = 1.0289
hr_rmse1 = sqrt(mean(hrerror.^2)) % root-mean-square
hr_rmse1 = 1.0289
% Not recommended
hr_rmse2=0;
K = length(hrerror);
for i=1:K
hr_rmse2 = hr_rmse2 + hrerror(i).^2;
end
hr_rmse2 = sqrt(hr_rmse2/K)
hr_rmse2 = 1.0289

3 Comments

can you manually code like fomula above? btw thank you
see above
Thankkkk youuuu, solved!!!!!

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Asked:

on 24 May 2022

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on 24 May 2022

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