User Modules (from Phase-III Macro System): Unterschied zwischen den Versionen
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| [[MACRO BLK BOOL|%BLK_BOOL()]] | | [[MACRO BLK BOOL|%BLK_BOOL()]] | ||
| − | | '''Deliver PCT/count | + | | '''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. | | Loop with %row_bool over array of categorial values using same name prefix and ‚true‘ value and output results as one block. | ||
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| [[MACRO TAB BOOL|%TAB_BOOL()]] | | [[MACRO TAB BOOL|%TAB_BOOL()]] | ||
| − | | '''Deliver PCT/count table dataset from N | + | | '''Deliver PCT/count table dataset from N boolean blocks''' |
| Loop with %blk_bool over groups of variables using diferent name prefixes. | | Loop with %blk_bool over groups of variables using diferent name prefixes. | ||
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| [[MACRO BLK CATV|%BLK_CATV()]] | | [[MACRO BLK CATV|%BLK_CATV()]] | ||
| − | | '''Deliver PCT/count | + | | '''Deliver PCT/count subtable dataset from 1 categorial variable''' |
| Use categorial processing from *_freq and *_catv modules with restricted paramater set. | | Use categorial processing from *_freq and *_catv modules with restricted paramater set. | ||
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| [[MACRO TAB CATV|%TAB_CATV()]] | | [[MACRO TAB CATV|%TAB_CATV()]] | ||
| − | | '''Deliver PCT/count table dataset | + | | '''Deliver PCT/count table dataset from N categorial variables''' |
| Loop with %blk_catv over array of names using same processing parameters. | | Loop with %blk_catv over array of names using same processing parameters. | ||
|- | |- | ||
| [[MACRO BLK CONV|%BLK_CONV()]] | | [[MACRO BLK CONV|%BLK_CONV()]] | ||
| − | | '''Deliver | + | | '''Deliver univariate statistics subtable dataset from 1 continuous variable''' |
| Use continuous variable processing from *_univ and *_conv modules with restricted paramater set. | | Use continuous variable processing from *_univ and *_conv modules with restricted paramater set. | ||
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| [[MACRO TAB CONV|%TAB_CONV()]] | | [[MACRO TAB CONV|%TAB_CONV()]] | ||
| − | | '''Deliver univariate | + | | '''Deliver univariate statistics Table dataset from N continuous variables''' |
| Loop with %blk_conv over array of names using same set of processing parameters. | | Loop with %blk_conv over array of names using same set of processing parameters. | ||
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| [[MACRO TWO CATV|%TWO_CATV()]] | | [[MACRO TWO CATV|%TWO_CATV()]] | ||
| − | | '''Deliver PCT/count table from 2 nested | + | | '''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. | | Perform nested processing of two categorial variables looping the context variable from the row_* modules over the categories of the ‚outer‘ categories. | ||
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| [[MACRO TWO BOCA|%TWO_BOCA()]] | | [[MACRO TWO BOCA|%TWO_BOCA()]] | ||
| − | | '''Deliver PCT/count table from | + | | '''Deliver PCT/count table from boolean/categorial variables''' |
| Perform nested processing with only one (‚true‘) value select from the outer category. | | Perform nested processing with only one (‚true‘) value select from the outer category. | ||
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| [[MACRO TWO BOBO|%TWO_BOBO()]] | | [[MACRO TWO BOBO|%TWO_BOBO()]] | ||
| − | | '''Deliver PCT/count table from 2 | + | | '''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. | | 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. | ||
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Version vom 6. März 2014, 09:59 Uhr
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- 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. |
