fillmissing function with makima method
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katie_km
am 23 Mai 2023
Kommentiert: Steven Lord
am 30 Mai 2023
Hi!
I'm trying to fill the missing data with fillmissing function and makima method for gaps that are less than 12000 samples. This is the code I used:
trial8 = fillmissing(trial8,'makima','MaxGap',12000);
It removes NaNs, but for some reason gives weird and wrong negative values. I'm attaching the screens, first is my data before filling and the second after filling. Could somebody tell me what do I do wrong?
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Steven Lord
am 30 Mai 2023
Is that drop in some sense "real" or is it an artifact of some issue with the data gathering process? Do you really want to use fillmissing here or would either rmmissing or rmoutliers be a better match for what you're hoping to do with this data?
If I was collecting data from a thermometer and it accidentally kept recording once I took it from under my tongue and put it back in its case, that data shouldn't be filled it should be removed entirely.
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Star Strider
am 23 Mai 2023
Thje 'makima' method is likely best for filling NaN gaps in varying data. Yours appear to be relatively constant, other than for that one instance.
See if using 'nearest' instead will improve the result. .
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