VAR calculates the variance.
 
 y = var(x [, opt[, DIM]])
   calculates the variance in dimension DIM
   the default DIM is the first non-single dimension

 opt   0: normalizes with N-1 [default]
	1: normalizes with N 
 DIM	dimension
	1: VAR of columns
	2: VAR of rows
 	N: VAR of  N-th dimension 
	default or []: first DIMENSION, with more than 1 element
 W	weights to compute weighted variance (default: [])
	if W=[], all weights are 1. 
	number of elements in W must match size(x,DIM) 
 
 usage: 
	var(x)	
	var(x, opt, DIM)	
	var(x, [], DIM)	
	var(x, W, DIM)
	var(x, opt, DIM, W)	

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

 see also: MEANSQ, SUMSQ, SUMSKIPNAN, MEAN, RMS, STD,

Package: nan