How to filter data using rmoutliers?

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?

Answer 1

[Daniel M]

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.