calculates the mean of data elements.
nan_mean(x) nan_mean(x,DIM) nan_mean(x,opt) nan_mean(x,opt,DIM) nan_mean(x,DIM,opt) nan_mean(x,DIM,W) nan_mean(x,DIM,opt,W);
dimension
first DIMENSION, with more than 1 element
options
weights to compute weighted mean (default: [])
features:
- can deal with NaN's (missing values)
- weighting of data
- dimension argument also in Octave
X=testmatrix('magi',3) X([1 6:9]) = %nan*ones(1,5) X = Nan 1. Nan 3. 5. Nan 4. Nan Nan y = nan_mean(X) y = 3.5 3. Nan