MAD estimates the Mean Absolute deviation (note that according to [1,2] this is the mean deviation; not the mean absolute deviation) y = mad(x,DIM) calculates the mean deviation of x in dimension DIM DIM dimension 1: STATS of columns 2: STATS of rows default or : first DIMENSION, with more than 1 element features: - can deal with NaN's (missing values) - dimension argument - compatible to Matlab and Octave see also: SUMSKIPNAN, VAR, STD, REFERENCE(S):  http://mathworld.wolfram.com/MeanDeviation.html  L. Sachs, 'Applied Statistics: A Handbook of Techniques', Springer-Verlag, 1984, page 253.  http://mathworld.wolfram.com/MeanAbsoluteDeviation.html  Kenney, J. F. and Keeping, E. S. 'Mean Absolute Deviation.' �6.4 in Mathematics of Statistics, Pt. 1, 3rd ed. Princeton, NJ: Van Nostrand, pp. 76-77 1962.