Statistics: standardizeMissing

### Function Reference: `standardizeMissing`

statistics: B = standardizeMissing (A, indicator)

Replace data values specified by indicator in A by the standard ’missing’ data value for that data type.

A can be a numeric scalar or array, a character vector or array, or a cell array of character vectors (a.k.a. string cells).

indicator can be a scalar or an array containing values to be replaced by the ’missing’ value for the class of A, and should have a data type matching A.

’missing’ values are defined as :

- `NaN`: `single`, `double`
- `" "` (white space): `char`
- `{""}` (empty string in cell): string cells.

Compatibility Notes:

- Octave’s implementation of `standardizeMissing` does not restrict indicator of type `char` to row vectors.
- All numerical and logical inputs for A and indicator may be specified in any combination. The output will be the same class as A, with the indicator converted to that data type for comparison. Only `single` and `double` have defined ’missing’ values, so A of other data types will always output B = A.

See also: fillmissing, ismissing, rmmissing

Source Code: standardizeMissing