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NaN Toolbox >> NaN Toolbox > Descriptive Statistics > nan_meanAbsDev

nan_meanAbsDev

estimates the Mean Absolute deviation

Calling Sequence

y = nan_meanAbsDev(x,DIM)

Parameters

y:

the mean deviation of x in dimension DIM

1:

STATS of columns

2:

STATS of rows

default or []:

first DIMENSION, with more than 1 element

Description

estimates the Mean Absolute deviation (note that according to [1,2] this is the mean deviation; not the mean absolute deviation)

features: - can deal with NaN's (missing values) - dimension argument - compatible to Matlab and Octave

Examples

salery=[950; 1200; 1370; 1580; 1650; 1800; 6000; %nan];
nan_meanAbsDev(salery);

See also

Bibliography

[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." ยง6.4 in Mathematics of Statistics, Pt. 1, 3rd ed. Princeton, NJ: Van Nostrand, pp. 76-77 1962.

Authors


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