mean value of a group of data with NaNs
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I have a matrix A with the dimension of 12x360x180. It stores 12 values at each grid of the 360x180. Now I want to calculate the average value at each grid point. The problem is that there are unknown number of NaNs. Sometimes all 12 values are non-NaNs, sometimes all of them are NaNs, sometimes a portion of the 12 values are NaNs.
In this case, how do I estimate the mean values at each point of the grid? I know if there are no NaNs, the calculation is as easy as B = mean(A);
More Answers (2)
Chris Turnes on 27 Jun 2016
You can also just use the 'omitnan' option in "mean":
A = [1 0 0 1 NaN 1 NaN 0];
M = mean(A,'omitnan')
If you do not have that Statistics and Machine Learning Toolbox, this should work:
notNan = not(isnan(A));
B = zeros(size(A));
B(notNan) = A(notNan);
You can do the sum over different dimensions, as required.