Replace Missing Data Points in Matrix with Interpolated Points
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Hello, I have a matrix Q, of size 12x13. In this matrix, I have only 18 points that have real collected data. This matrix is not a product, but is the most basic form of the data I have. Instead of displaying just the data I have with the average of all the data I collected in the background, I'd like to set the missing data points as interpolated values between the true data I have. I have read a couple questions similar to mine, but none have been the same. From theirs, it seems like the method to use would be to set the missing data points to NaN and replace them somehow using one of the interp functions, but I'm not sure which one (interp1, interp2, etc) to use or how to implement it. Any help would be greatly appreciated. Thank you in advance.
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Download John D'Errico's excellent FEX submission:
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Jared Hubach
2018-2-5
" I have a matrix Q, of size 12x13"
That is a good start.
"In this matrix, I have only 18 points that have real collected data"
Ensure that the missing data are NaN.
Then simply call the function inpaint_nans just like it shows in its help:
Qnew = inpaint_nans(Q)
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