Examples (MISSING VALUES command)

Declaring Missing Values for Multiple Variables

MISSING VALUES V1 (8,9) V2 V3 (0) V4 ('X') V5 TO V9 ('    ').

• The values 8 and 9 are declared missing for the numeric variable V1.
• The value 0 is declared missing for the numeric variables V2 and V3.
• The value X is declared missing for the string variable V4.
• Blanks are declared missing for the string variables between and including V5 and V9. All of these variables must have a width of four columns.

Clearing Missing Values for Selected Variables

MISSING VALUES V1 ().

• Any previously declared missing values for V1 are deleted.

Declaring Missing Values for All Variables

MISSING VALUES ALL (9).

• The value 9 is declared missing for all variables in the active dataset; the variables must all be numeric. All previous user-missing specifications are overridden.

Clearing Missing Values for All Variables

MISSING VALUES ALL ().

• All previously declared user-missing values for all variables in the active dataset are deleted. The variables in the active dataset can be both numeric and string.