how to calculate mean of interrupted data
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how can one program matlab to calculate the zero mean of a time series but only for values before a NaN value and then values after a NaN value. i am not talking about the omitnan function.
4 个评论
Dyuman Joshi
2023-5-12
I am not sure if I understand what you want to achieve.
Let's assume this to be your data -
A=1:20;
A([2 4 8 16]) = NaN
What should be the output for this?
采纳的回答
Dyuman Joshi
2023-5-12
A=1:20;
A([2 4 8 16]) = NaN;
disp(A)
idx = [0 find(isnan(A)) numel(A)+1]
for k = 1:numel(idx)-1
%Range of indices between starting point, NaNs and ending point
arr=idx(k)+1:idx(k+1)-1;
A(arr) = A(arr) - mean(A(arr));
end
disp(A)
4 个评论
Dyuman Joshi
2023-6-3
"it turns out that the standard deviation of the result is different from the standard deviation of the original dataset."
Yes, that is expected as we are manipulating the data.
"Is there a way to preserve the standard deviation of the orignal data ?"
You can preserve the standard deviation of the original data, but that will result in a different output.
更多回答(1 个)
Antoni Garcia-Herreros
2023-5-11
Hello,
You could try something like this:
A=[1:10]; % For the example
A(5)=NaN; A(8)=NaN
R=[1 find(isnan(A)) length(A)]; % Indices where the nans are + the beggining and end of vector
MeanVec=zeros(size(R,2)-1,1); % Initialize vector where the means will be stored
for i=1:length(R)-1 % Loop through the different sections between nans
F(i)=nanmean(A(R(i):R(i+1)));
end
F
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