The HPSUMMARY Procedure
TYPES requests ;
The TYPES statement identifies which of the possible combinations of classification variables to generate. The TYPES statement requires the specification of a CLASS statement.
- requests
-
specifies which of the
combinations of classification variables PROC HPSUMMARY uses to create the types, where 
is the number of classification variables. A request includes one classification variable name, several classification variable names separated by asterisks, or ().
To request classification variable combinations quickly, use a grouping syntax by placing parentheses around several variables and joining other variables or variable combinations. The examples in Table 9.5 illustrate grouping syntax:
Table 9.5: Examples of 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;You can use parentheses () to request the overall total (_TYPE_=0). If you do not need all types in the output data set, then use the TYPES statement to specify particular subtypes rather than applying a WHERE clause to the data set. Doing so saves time and computer memory.
The SUMMARY procedure writes analyses to the output in order of increasing values of the _TYPE_ variable. When PROC HPSUMMARY executes on the grid, the order of observations within the output is not deterministic because the output is returned in parallel. You can sort the output as follows:
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If output is directed back to the client, then to achieve an output order that is similar to the output of PROC SUMMARY, you need to subsequently sort the data by _TYPE_ and the classification variables.
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If output is directed back to the grid (so that the results are distributed), then there is no order within the output. To retrieve the observations in order, you can execute an SQL query, specifying that the selecting rows be returned in order by _TYPE_ and the classification variables.
The _TYPE_ variable is calculated even if no output data set is requested. For more information about the _TYPE_ variable, see the section Output Data Set.