nan_rms Descriptive Statistics nan_skewness

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nan_sem

calculates the standard error of the mean

Calling Sequence

[SE,M] = nan_sem(x [, DIM [,W]])

Parameters

SE:

standard error in dimension DIM

M:

mean

DIM:

dimension

1:

SEM of columns

2:

SEM of rows

N:

SEM of N-th dimension

default or []:

first DIMENSION, with more than 1 element

W:

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

Description

calculates the standard error (SE) in dimension DIM the default DIM is the first non-single dimension M returns the mean. Can deal with complex data, too.

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

See also

Authors

nan_rms Descriptive Statistics nan_skewness