The MEANS Procedure

TYPES Statement

Identifies which of the possible combinations of class variables to generate.

Main discussion: Output Data Set

Requirement: CLASS statement

Featured in: Computing Descriptive Statistics with Class Variables , Using Multi-label Value Formats with Class Variables , and Identifying the Top Three Extreme Values with the Output Statistics

TYPES request(s);

Required Arguments

request(s)

specifies which of the

combinations of class variables PROC MEANS uses to create the types, where

is the number of class variables. A request is composed of one class variable name, several class variable names separated by asterisks, or ().

To request class variable combinations quickly, use a grouping syntax by placing parentheses around several variables and joining other variables or variable combinations. For example, the following statements illustrate grouping syntax:

Request Equivalent to

types A*(B C); types A*B A*C;

types (A B)*(C D); types A*C A*D B*C B*D;

types (A B C)*D; types A*D B*D C*D;

Interaction The CLASSDATA= option places constraints on the NWAY type. PROC MEANS generates all other types as if derived from the resulting NWAY type.
Tip: Use ( ) to request the overall total (_TYPE_=0).
Tip: If you do not need all types in the output data set, use the TYPES statement to specify specific subtypes rather than applying a WHERE clause to the data set. This saves time and space.

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Main discussion:	Output Data Set
Requirement:	CLASS statement
Featured in:	Computing Descriptive Statistics with Class Variables , Using Multi-label Value Formats with Class Variables , and Identifying the Top Three Extreme Values with the Output Statistics

Request	Equivalent to
`types A*(B C);`	`types AB AC;`
`types (A B)*(C D);`	`types AC AD BC BD;`
`types (A B C)*D;`	`types AD BD C*D;`

Interaction	The CLASSDATA= option places constraints on the NWAY type. PROC MEANS generates all other types as if derived from the resulting NWAY type.
Tip:	Use ( ) to request the overall total (_TYPE_=0).
Tip:	If you do not need all types in the output data set, use the TYPES statement to specify specific subtypes rather than applying a WHERE clause to the data set. This saves time and space.