The HPSUMMARY Procedure
PROC HPSUMMARY provides data summarization tools to compute descriptive statistics for variables across all observations and within groups of observations. For example, PROC HPSUMMARY does the following:
-
calculates descriptive statistics based on moments
-
calculates and estimates quantiles, which includes the median
-
calculates confidence limits for the mean
-
identifies extreme values
-
performs a
test
PROC HPSUMMARY does not display output. You can use the OUTPUT statement to store the statistics in a SAS data set.
PROC HPSUMMARY provides a vehicle for the parallel execution of summarization in a distributed computing environment. The following list summarizes the basic features of PROC HPSUMMARY:
-
provides the ability to execute summarization in parallel
-
enables you to control the level of parallelism per execution node and the number of nodes to engage
-
is highly multithreaded
-
manages data migration to the location of execution and movement back to the client machine as needed
Because the HPSUMMARY procedure is a high-performance analytical procedure, it also does the following:
-
enables you to run in distributed mode on a cluster of machines that distribute the data and the computations
-
enables you to run in single-machine mode on the server where SAS is installed
-
exploits all the available cores and concurrent threads, regardless of execution mode
For more information, see the section Processing Modes in Chapter 3: Shared Concepts and Topics.