How to filter data using rmoutliers?
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To remove data above 1.2 and below -1.2.
I use:
threshold = [-1.2, 1.2];
y = rmoutliers(y,'percentiles',threshold);
But error occurred:
Error using isoutlier>parseinput (line 236)
'Percentiles' value must be a sorted 2-element numeric vector with entries between 0 and 100.
Any other functions which can be used to solve the problem?
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Daniel M
am 8 Okt. 2019
If you have a hard threshold you want to use, then rmoutliers is not the function you want. Just use a simple logical index to get the location of the outliers, then you can do what you want with them.
locs = abs(y)>=1.2;
% locs = find(abs(y)>=1.2); % if having the indices is easier than a logical index
You can chose whether to remove those data points, set them to the threshold value, etc.
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