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.