The LIBNAME libref SASEFAME Statement

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The SASEFAME Interface Engine

The LIBNAME libref SASEFAME Statement

LIBNAME libref SASEFAME 'physical name' options;

The following options can be used in the LIBNAME libref SASEFAME statement:

CONVERT=(FREQ=fame_frequency TECH=fame_technique)

specifies the FAME frequency and the FAME technique just as you would in the FAME CONVERT function. There are four possible values for fame_technique: CONSTANT (default), CUBIC, DISCRETE, or LINEAR. All FAME frequencies except PPY and YPP are supported by the SASEFAME engine. For all possible fame_frequency values, see "Understanding Frequencies" in your USER'S GUIDE TO FAME. For a more complete discussion of FAME frequencies and SAS time intervals see "Mapping FAME Frequencies to SAS Time Intervals" later in this chapter. As an example,


   LIBNAME libref sasefame 'physical-name' 
      CONVERT=(TECH=CONSTANT FREQ=TWICEMONTHLY);

WILDCARD="fame_wildcard"

By default, the SASEFAME engine reads all time series in the FAME database that you name in your SASEFAME libref. You can limit the time series read from the FAME database by specifying the WILDCARD= option on your LIBNAME statement. The fame_wildcard is a quoted string containing the FAME wildcard you wish to use. The wildcard is used against the data object names (time series only) in the FAME database that resides in the library you are in the process of assigning. For more information about wildcarding, see "Specifying Wildcards" in your USER'S GUIDE TO FAME.

For example, to read all time series in the TEST library being accessed by the SASEFAME engine, you would specify


   LIBNAME test sasefame 'physical name of test data base' 
      WILDCARD="?";

To read series with names such as A_DATA, B_DATA, C_DATA, you could specify


   LIBNAME test sasefame 'physical name of test data base' 
      WILDCARD="^_DATA";

When you use the WILD= option, you are limiting the number of time series that are read and converted to the desired frequency. This option can help you save resources when processing large databases or when processing a large number of observations, i.e. daily, hourly, minutely frequencies. Since the SASEFAME engine uses the FAME WORK database to store the converted time series, using wildcards is recommended to prevent your WORK space from getting too large.

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