The HPSUMMARY Procedure

TYPES Statement

Subsections:

  • 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.

Required Argument

requests

specifies which of the $2^ k$ combinations of classification variables PROC HPSUMMARY uses to create the types, where k 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 10.5 illustrate grouping syntax:

Table 10.5: 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.

Order of Analyses in the Output

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:

  • 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.

  • 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.