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nan_rms

calculates the root mean square

Calling Sequence

y = nan_rms(x,DIM,W)

Parameters

DIM:

dimension

default or []:

first DIMENSION, with more than 1 element

W:

weights to compute weighted s.d. (default: [])

y:

estimated standard deviation

Description

can deal with complex data. features: - can deal with NaN's (missing values) - weighting of data - dimension argument also in Octave - compatible to Matlab and Octave

See also

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