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nanstdev

standard deviation (ignoring the NANs).

Syntax

s = nanstdev(x)
s = nanstdev(x, orientation)

Arguments

x

real or complex vector or matrix

orientation

index of the dimension along which the nanstdev is computed. It can be either

  • a character "*" (default), "r" or "c"
  • a positive integer: 1 or 2. 1 is equivalent to "r" and 2 is equivalent to "c".
m

real or complex scalar or vector

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) or 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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