nanstdev
standard deviation (ignoring the NANs).
Syntax
s=nanstdev(x) s=nanstdev(x,'r') or m=nanstdev(x,1) s=nanstdev(x,'c') or m=nanstdev(x,2)
Arguments
- x
real or complex vector or matrix
Description
This function computes the standard deviation of the
values of a vector or matrix x (ignoring the
NANs).
For a vector or a matrix x, s=nanstdev(x)
returns in the scalar s the standard deviation
of all the entries of x (ignoring the NANs).
s=nanstdev(x,'r') (or, equivalently,
s=nanstdev(x,1)) is the rowwise standard deviation.
It returns in each entry of the row vector s the
standard deviation of each column of x (ignoring
the NANs).
s=nanstdev(x,'c') (or, equivalently,
s=nanstdev(x,2)) is the columnwise standard
deviation. It returns in each entry of the column vector
s the standard deviation of each row of x
(ignoring the NANs).
In Labostat, NAN values stand for missing values in tables.
Examples
x=[0.2113249 0.0002211 0.6653811; 0.7560439 %nan 0.6283918; 0.3 0.2 0.5 ]; s=nanstdev(x) s=nanstdev(x,'r') s=nanstdev(x,'c')
Bibliography
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
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