SEM calculates the standard error of the mean [SE,M] = SEM(x [, DIM [,W]]) 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. 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: []) if W=[], all weights are 1. number of elements in W must match size(x,DIM) features: - can deal with NaN's (missing values) - weighting of data - dimension argument - compatible to Matlab and Octave see also: SUMSKIPNAN, MEAN, VAR, STD

- sumskipnan SUMSKIPNAN adds all non-NaN values.

- naninsttest NANINSTTEST checks whether the functions from NaN-toolbox have been

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