Using the findchangepts function on data containing NaN datapoints
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Hi,
My data contains NaN datapoints, so when I use the findchangepts function, I get the following error message:
xError using findchangepts
Expected input number 1, X, to be finite.
Error in findchangepts>getargs (line 166)
validateattributes(x,{'single','double'},{'real','2d','nonsparse','finite'}, ...
Error in findchangepts (line 99)
[statistic, Kmax, Lmin, penalty] = getargs(x, varargin);
Is there a way to use the findchangepts function on data containing NaN datapoints?
If not, is there someway for me to transform my data so the findchangepts function can accept it without any errors?
Thanking you in advance!
回答（2 个）
Samatha Aleti
2020-3-26
You may remove NaN values from your "data" and then call “findchangepts” function with this "data". You can remove NaN values from your “data” as follows:
data = data(~isnan(data))
tara es
2022-5-12
you can use fillgaps function for fill NAN values (GAPs), without reduce the length of data. It can help you.
y = fillgaps(data)
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