- Manual Scilab
- Estatística
- cdfbet
- cdfbin
- cdfchi
- cdfchn
- cdff
- cdffnc
- cdfgam
- cdfnbn
- cdfnor
- cdfpoi
- cdft
- center
- wcenter
- cmoment
- correl
- covar
- ftest
- ftuneq
- geomean
- harmean
- iqr
- labostat
- mad
- mean
- meanf
- median
- moment
- msd
- mvvacov
- nancumsum
- nand2mean
- nanmax
- nanmean
- nanmeanf
- nanmedian
- nanmin
- nanstdev
- nansum
- nfreq
- pca
- perctl
- princomp
- quart
- regress
- sample
- samplef
- samwr
- show_pca
- st_deviation
- stdevf
- strange
- tabul
- thrownan
- trimmean
- variance
- variancef
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.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')
Authors
Carlos Klimann
Bibliography
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
<< nanmin | Estatística | nansum >> |