Does julia have the nanmean function for 3d array, just like what in MATLAB (Not recommended) Mean, ignoring NaN values - MATLAB nanmean?
You can use the nanmean function from NaNStatistics.jl
This package works for Nan. But not for missing. Any solution？
using NaNStatistics A = [1:10; fill(missing,10)] nanmean(A) # missing
You can define your own version of missmean which checks for nans and missings and works along any dimension like this:
misssum((s,n), x) = (x===missing || isnan(x)) ? (s,n) : (s+x, n+1) division((s,n)) = s/n missmean(a;dims=:) = division.(reduce(misssum, a, init = (zero(eltype(a)), 0), dims=dims)) #And then call it on your data A = [1.0:10.0 fill(missing,10)] A[1,2] = NaN missmean(A, dims=2)