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Ajuda do Scilab >> Estatística > Data with Missing Values > nanstdev


standard deviation (ignoring the NANs).

Calling Sequence

s=nanstdev(x,'r') or m=nanstdev(x,1)
s=nanstdev(x,'c') or m=nanstdev(x,2)



real or complex vector or matrix


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.


x=[0.2113249 0.0002211 0.6653811;
   0.7560439 %nan      0.6283918;
   0.3       0.2       0.5      ];


Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.

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Last updated:
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