Phase-III Macro System

Positioning

The Phase-III Macro System is not an end-to-end reporting tool.

The Phase-III Macro System is a flexible, data independent and parameter controlled set of SAS macros.

• It is a highly interacting collection of macro modules providing transformation methods for study emergent datasets making use of all the information available in the description part of the dataset processed. The user is provided with (an) output dataset(s) containing character columns with standard names and externally controlled attributes.
• The Phase-III Macro System provides subroutines that care for data types, formats, labels, headers, missing values, loops and more. Runtime generated information used to control processing is kept in standardized data structures using macro-variable lists (mlists), SAS formats and datasets.
• Input data structures may need some form of pre-processing as well as output data structures may need some post-processing to perfectly fulfil requirements. The Phase-III Macro System already supports these steps to some extent by providing condense, struct and missline functions.

Characteristics

The Phase-III Macro System is aimed at serving as a base for an extendable system that provides mechanisms for shaping input datasets, processing calculations and generating SAS datasets with ready made text content.

The Phase-III Macro System interacts with and makes use of other programs, modules, systems and datasets available. Communication and information interchange use SAS macrovariables, environment variables from the operating system and data structures compatible with the SAS System.

Input data streams will require preprocessing in general by assigning formats and labels. Output datasets will need postprocessing using merge and set operations mainly.

Module size is kept small (not more than three screen pages) for maintainability and avoids hard-coded references to any application related information like data types, labels and formats. Coding style makes broad use of automatic documentation and generation of meta data and lookup tables at runtime.

Fraktal Architecture

The Phase-III Macro System was coded by utilizing Fraktal SAS Programming. To a certain degree this concept compares to database normalization. Fraktal SAS Programming restricts program coding according to the one-module-one-function principle which is very well supported by the means delivered with the SAS System.

Type	Function performed
Info Modules	Provide information about datasets and variables for correct processing
Service Modules	Provide frequently requested tasks in a standard format with limited parameter set
Core Modules	Perform input transformation, calculations and output transformation
User Modules	Generate datasets carrying subtables controlled by user-supplied parms

Approach

In general, Fraktal SAS Programming introduced a number of benefits to the coding of Phase-III Macro System, amongst which were:

• Avoid dependency of programs to data scope, study characteristics or personal styles.
• Have modules implemented in a way to operate in any emerging environment.
• Be prepared to add new output structures without substantial delay.
• Produce a wide variety of output with a minimum set of modules.
• Minimize maintenance efforts through self-documenting and limited program code.
• Maximize validation throughput by adopting a non-mutual-impact architecture.

Modules in Detail

Info Modules

Name	Function	Description
%GET_ATTR()	Return single attributes like label, format, etc.	Reads dataset header and returns attributes as undeclared macro variables using the requested attributes names. Information becomes available when the particular variable is declared in the calling environment using a %global or %local statement.
%GRP_DESC()	Provide information about a categorial variable.	Investigates given categorial variable and provides results using undeclared macro variables: &n_grp - number of distinct values; &v_grp – structured list of distinct unformatted values; &l_grp – structured list of distinct formatted values.
%CHK_LIST()	Provide information about a list type macrovar.	Reads supplied list of tokens and returns undeclared macro variables: &n_lst - number of list elements; &v_lst – structured list of supplied elements. Input list elements may be separated by blank and comma only.

User Modules

Name	Function	Description
%TWO_CATV()	Deliver PCT/count table from 2 nested categorial variables.	Perform nested processing of two categorial variables looping the context variable from the row_* modules over the categories of the "outer" categories.