estimates various statistics at once.
R = nan_statistic(x,DIM) calculates all statistic (see list of fun) in dimension DIM y = nan_statistic(x,DIM,fun) estimate of fun on dimension DIM
gives the statistic of fun
is a struct with all statistics
.dimension
STATS of columns
STATS of rows
STATS of N-th dimension
first DIMENSION, with more than 1 element
'mean' mean
features: - can deal with NaN's (missing values) - dimension argument
[1] http://www.itl.nist.gov/
[2] http://mathworld.wolfram.com/