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| MISSING |
| Valid: | Anywhere |
| Category: | Information |
| Syntax | |
| Arguments | |
| Details | |
| Comparisons | |
| Examples | |
| See Also |
Syntax |
| MISSING character(s); |
| Range: | Special missing values can be any of the 26 letters of the alphabet (uppercase or lowercase) or the underscore (_). |
| Tip: | You can specify more than one character. |
| Details |
The MISSING statement usually appears within a DATA step, but it is global in scope.
| Comparisons |
The MISSING= system option
allows you to specify a character to be printed when numeric variables contain
ordinary missing values (.). If your data contain characters that represent
special missing values, such as
a or
z, do not
use the MISSING= option to define them; simply define these values in a MISSING
statement.
| Examples |
With survey data, you may want to identify certain kinds
of missing data. For example, in the data, an
A can mean that the respondent
is not at home at the time of the survey; an
R can mean that the respondent
refused to answer. Use the MISSING statement to identify to SAS that the values
A and
R in the input data lines are to be considered special
missing values rather than invalid numeric data values:
data survey; missing a r; input id answer; datalines; 001 2 002 R 003 1 004 A 005 2 ;
The resulting data set SURVEY contains exactly the values that are coded in the input data.
| See Also |
| Statement:
| |||
| System
Option:
|
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Copyright 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.