nanmean3.m
Multi-dimensional means
This function upgrades the alternative NANMEAN function here: nanmean2.m). This version can takes the mean of data containing NaNs, along any specified dimension. This version basically performs 3 steps; the data is premuted so that the dimension specified is moved to dimension 1 (rows). The mean is then peformed on each column in turn, while ignoring the NaNs, using the same process as in nanmean2.m. The resulting row of means is then permuted back to the dimension it came from.
There are other ways of doing this, however, this method provides a nice example of permuting and reshaping data in multidimensional matrixes, which can be tricky to understand.
