How to replace missing data with a random value in the statistical distribution
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I have a vector x=[1 NaN 2 3 NaN 4 NaN NaN NaN 5 7 9 3 0 23 9 8 ]; I would like to know if there is a way to randomly select a known value from x to replace only the missing values (NaN's) in x.
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Birdman
2018-4-2
x(isnan(x))=randsample(x(~isnan(x)),1)
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