Function var
Compute the variance of a matrix or a list with values. In case of a (multi dimensional) array or matrix, the variance over all elements will be calculated.
Optionally, the type of normalization can be specified as second
parameter. The parameter normalization can be one of the following values:
- 'unbiased' (default) The sum of squared errors is divided by (n - 1)
- 'uncorrected' The sum of squared errors is divided by n
- 'biased' The sum of squared errors is divided by (n + 1)
Note that older browser may not like the variable name var. In that
case, the function can be called as math['var'](...) instead of
var(...).
Syntax
var(a, b, c, ...)
var(A)
var(A, normalization)
Parameters
| Parameter | Type | Description |
|---|---|---|
array |
Array | Matrix | A single matrix or or multiple scalar values |
normalization |
string | Determines how to normalize the variance. Choose 'unbiased' (default), 'uncorrected', or 'biased'. Default value: 'unbiased'. |
Returns
| Type | Description |
|---|---|
| * | The variance |
Examples
var(2, 4, 6); // returns 4
var([2, 4, 6, 8]); // returns 6.666666666666667
var([2, 4, 6, 8], 'uncorrected'); // returns 5
var([2, 4, 6, 8], 'biased'); // returns 4
var([[1, 2, 3], [4, 5, 6]]); // returns 3.5