Core Modules (from Phase-III Macro System): Unterschied zwischen den Versionen

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'''Core Modules perform input transformation, calculations and output transformation.'''
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;Core Modules perform input transformation, calculations and output transformation.
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{| class="wikitable"
 
{| class="wikitable"
 
|-
 
|-
 
! Name  
 
! Name  
! Function
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! Purpose
! Description
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! Algorithm
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|-
 +
| [[MACRO TOP FILT |%TOP_FILT()]]
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| '''Generate standard data structure for processing '''
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| Read from source dataset or view and perform filter and select operations
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|-
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| [[MACRO ROW FILT|%ROW_FILT()]]
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| '''Generate context dependant standard data structure '''
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| Read from source dataset or view and perform filter and select operations with respect to a given context variable‘s value.
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|-
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| [[MACRO TOP FREQ|%TOP_FREQ()]]
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| '''Calculate PCTs and counts from standard data '''
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| Read output from *_filt module and perform calculations of frequencies and counts.
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|-
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| [[MACRO ROW FREQ|%ROW_FREQ()]]
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| '''Calculate PCTs/counts from context dependant standard data '''
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| Read output from *_filt module and perform calculations of frequencies and counts allowing weighting with percentages from context variable.
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|-
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| [[MACRO ROW UNIV|%ROW_UNIV()]]
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| '''Calculate univariate statistics from context dependant standard data '''
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| Read output from *_filt module and perform calculations of univariate statistics according to given list with respect to their sequence.
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|-
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| [[MACRO TOP OUTC|%TOP_OUTC()]]
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| '''Format categorial values according to table shells '''
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| Read output from *_freq module and generate an output file with character formatted columns, totals, header and indentation.
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|-
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| [[MACRO ROW OUTC|%ROW_OUTC()]]
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| '''Format categorial values from context dependant standard data '''
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| Read output from *_freq module and generate an output file with character formatted columns, indentation and weighted percentages. Add counts and percentages from context variable as headline.
 
|-
 
|-
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| [[MACRO ROW OUTV|%ROW_OUTV()]]
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| '''Format continuous values from  context dependant standard data '''
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| Read output from *_univ module and generate an output file with character formatted columns, stat labels and header.
 
|}
 
|}

Aktuelle Version vom 6. März 2014, 15:38 Uhr

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Core Modules perform input transformation, calculations and output transformation.


Name Purpose Algorithm
%TOP_FILT() Generate standard data structure for processing Read from source dataset or view and perform filter and select operations
%ROW_FILT() Generate context dependant standard data structure Read from source dataset or view and perform filter and select operations with respect to a given context variable‘s value.
%TOP_FREQ() Calculate PCTs and counts from standard data Read output from *_filt module and perform calculations of frequencies and counts.
%ROW_FREQ() Calculate PCTs/counts from context dependant standard data Read output from *_filt module and perform calculations of frequencies and counts allowing weighting with percentages from context variable.
%ROW_UNIV() Calculate univariate statistics from context dependant standard data Read output from *_filt module and perform calculations of univariate statistics according to given list with respect to their sequence.
%TOP_OUTC() Format categorial values according to table shells Read output from *_freq module and generate an output file with character formatted columns, totals, header and indentation.
%ROW_OUTC() Format categorial values from context dependant standard data Read output from *_freq module and generate an output file with character formatted columns, indentation and weighted percentages. Add counts and percentages from context variable as headline.
%ROW_OUTV() Format continuous values from context dependant standard data Read output from *_univ module and generate an output file with character formatted columns, stat labels and header.