Usage of MAD

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Compute the median absolute deviation of a list or array with the following formula: numpy.median(numpy.abs(a - numpy.median(a))) / c. See also MADoutliers. If you simply want the standard deviation, you can use numpy.std.

Usage:

au.MAD(a, c=0.6745, axis=0)

Inputs:

• a: list or array of values
• c: normalization factor. c = 0.6745 is the constant to convert from MAD to standard deviation (it is used by default)
• axis: the axis of the array to use

Example:

CASA <7>: au.MAD([1,4,3,5,6,2,3,100])
  Out[7]: 2.2238695329873983

-- ToddHunter - 2013-09-09