Please note that the recommended version of Scilab is 2024.1.0. This page might be outdated.
See the recommended documentation of this function
nanstdev
standard deviation (ignoring the NANs).
Calling Sequence
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.
Report an issue | ||
<< nanreglin | Data with Missing Values | nansum >> |