User Modules (from Phase-III Macro System)

User Modules generate datasets carrying subtables controlled by user-supplied parms.

Name	Purpose	Algorithm
%ROW_BOOL()	Deliver PCT/count line dataset using 1 decode	Select single (‚true‘) value for categorial processing from *_freq and *_catv modules.
%BLK_BOOL()	Deliver PCT/count subtable dataset from N boolean variables	Loop with %row_bool over array of categorial values using same name prefix and ‚true‘ value and output results as one block.
%TAB_BOOL()	Deliver PCT/count table dataset from N boolean blocks	Loop with %blk_bool over groups of variables using diferent name prefixes.
%BLK_CATV()	Deliver PCT/count subtable dataset from 1 categorial variable	Use categorial processing from *_freq and *_catv modules with restricted paramater set.
%TAB_CATV()	Deliver PCT/count table dataset from N categorial variables	Loop with %blk_catv over array of names using same processing parameters.
%BLK_CONV()	Deliver univariate statistics subtable dataset from 1 continuous variable	Use continuous variable processing from *_univ and *_conv modules with restricted paramater set.
%TAB_CONV()	Deliver univariate statistics Table dataset from N continuous variables	Loop with %blk_conv over array of names using same set of processing parameters.
%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.
%TWO_BOCA()	Deliver PCT/count table from boolean/categorial variables	Perform nested processing with only one (‚true‘) value select from the outer category.
%TWO_BOBO()	Deliver PCT/count table from 2 nested boolean variables	Perform nested processing with boolean (‚true value‘) selection from the outer category and an array of boolean selections inside like in %blk_bool. True values may be chosen for each inside variable separately.