nanvar

Compute variances, ignoring NaN values.

Syntax

v = nanvar(x)

v = nanvar(x,scale)

v = nanvar(x,scale,dim)

Inputs

x
Data sample.
Type: double
Dimension: vector | matrix
scale
Scale option.
Type: integer
Use scale=0 (default) to divide by n-1, and scale=1 to divide by n, where n is the number of samples in each data vector.
Dimension: integer
dim
Dimension on which to perform the calculation.
Default: first non-singleton dimension.
Type: integer
Dimension: scalar

Outputs

v
Variance.
Dimension: scalar | matrix

Examples

Vector example:

x = [9.3, 10.6, nan, 11.9, 13.3, nan, 15.1, 18.2];
v = nanvar(x)
v = 10.4346667

Matrix example:

x = [9.3, 4.8; 10.6, 6.6; nan, nan; 11.9, 8.0; 13.3, 9.3; 15.1, 10.6; 18.2, 11.9];
v = nanvar(x)
v = [Matrix] 1 x 2
10.43467  6.83067