MEANDEV estimates the Mean deviation (note that according to [1,2] this is the mean deviation; not the mean absolute deviation) y = meandev(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, MAD REFERENCE(S): [1] http://mathworld.wolfram.com/MeanDeviation.html [2] L. Sachs, "Applied Statistics: A Handbook of Techniques", Springer-Verlag, 1984, page 253. [3] http://mathworld.wolfram.com/MeanAbsoluteDeviation.html [4] 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.

- sumskipnan SUMSKIPNAN adds all non-NaN values.

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