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SES UG 2016 Paper DM126 Using PRO RCMP to Improve Fuzzy Matching Christine L. Warner, Integrity Management Services, LLC, Alexandria, VA October 17, 2016, ABSTRACT Fuzzy matching is the art and science
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01
First, make sure you have the PROC FCMP procedure enabled in your SAS environment.
02
Start by writing a data step to define your input data set and any necessary variables.
03
Next, define a function using the PROC FCMP procedure and the FUNCTION statement.
04
Within the function, specify the input and output parameters using the ARG and RETURN statements.
05
Write the necessary logic inside the function to perform the desired calculations or transformations.
06
Save and compile the function using the FCMP procedure.
07
Finally, call the function within a DATA step or other SAS procedures to utilize the functionality provided by PROC FCMP.

Who needs using proc fcmp to?

01
Those who want to create their own customized functions in SAS may need to use PROC FCMP.
02
Programmers who require complex calculations or transformations not readily available in SAS base procedures can benefit from using PROC FCMP.
03
Users who prefer to write and utilize their own functions rather than relying on built-in functions in SAS may find PROC FCMP useful.
04
SAS developers and statisticians looking to extend the capabilities of their SAS programs can leverage PROC FCMP to accomplish their goals.
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Using proc fcmp to allows users to write and store custom functions in SAS.
Anyone who wants to create and use custom functions in SAS can use proc fcmp.
To use proc fcmp, users can write SAS functions in an external file and then reference them in their SAS code.
The purpose of using proc fcmp is to extend the functionality of SAS by creating and using custom functions.
Users must report the names and definitions of the custom functions they create using proc fcmp.
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