MACRO TWO CATV: Unterschied zwischen den Versionen

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!Name !! Values !!Description
 
!Name !! Values !!Description
 
|-
 
|-
| dsn || character string || input dataset name
+
| dsn || string || input dataset name
 
|-
 
|-
| row, row2 || character string || categorial variable name, 2=nested variable
+
| row, row2 || string || categorial variable name, 2=nested variable
 
|-
 
|-
| exclude || existing value in &ROW || decode for excluded group from &ROW
+
| exclude || string || decode for excluded group from &ROW
 
|-
 
|-
 
| weight || Y/N || multiply percentages for &ROW and &ROW2
 
| weight || Y/N || multiply percentages for &ROW and &ROW2
 
|-
 
|-
| col || character string || categorial variable name used for columns
+
| col || string || categorial variable name used for columns
 
|-
 
|-
 
| head2 || Y/N || block header for nested variable
 
| head2 || Y/N || block header for nested variable
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| space || 1/2/3 || blank line before or after output and between nesting levels
 
| space || 1/2/3 || blank line before or after output and between nesting levels
 
|-
 
|-
| struct, struct2 || character string || name of reference dataset used for full decode structure, 2=nested variable
+
| struct, struct2 || string || name of reference dataset used for full decode structure, 2=nested variable
 
|-
 
|-
 
| condense || var#value || non-distinct variable and true value for &ROW
 
| condense || var#value || non-distinct variable and true value for &ROW

Aktuelle Version vom 28. Oktober 2014, 15:25 Uhr

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Vorwärts

Workflow Graph Module Type
MACRO TWO CATV.png
User module from Phase-III Macro System based on Fractal System Architecture. Build table from two nested categorial variables.

Source

Start Definition with Parameters and Defaults

%MACRO TWO_CATV(dsn=,exclude=,row=,row2=,col=,indent=0,num=,stat=N,weight=Y,space=2,condense=,struct=,struct2=,head2=N,misslin2=,indinc=2) / store des="MACRO TWO_CATV";

Declares and Upper Level Processing

%LOCAL n_grp v_grp n name;
%LET name=TWO_CATV;
%IF &STRUCT  eq %THEN %LET struct =&DSN;
%IF &STRUCT2 eq %THEN %LET struct2=&DSN;
%GRP_DESC(dsn=&DSN,grp=&ROW,miss=n);
%TOP_FILT(dsn=&DSN,grp=&ROW,by=&COL,grplvl=&NUM,var=,condense=&CONDENSE);
%TOP_FREQ(dsn=top_filt,struct=&STRUCT,grp=&ROW,by=&COL);
%TOP_OUTC(dsn=top_freq,head=n,total=n,stat=&STAT,indent=&INDENT,grp=&ROW,rev=n,use=,by=&COL,missline=);

Loop for Lower Level Processing

%DO n=1 %TO &N_GRP;
  %IF %SCAN(&V_GRP,&N) ne &EXCLUDE %THEN %DO;
    %ROW_FILT(dsn=&DSN,context=&ROW,subgrp=&N,grp=&ROW2,by=&COL,var=,miss=n);
    %ROW_FREQ(dsn=row_filt,sum=top_freq,struct=&STRUCT2,context=&ROW,grp=&ROW2,by=&COL,weight=&WEIGHT);
    %ROW_OUTC(dsn=row_freq,sum=main_3rd,head=&HEAD2,stat=&STAT,indent=%EVAL(&INDENT+&INDINC),context=&ROW,grp=&ROW2,by=&COL,missline=&MISSLIN2);
  %END;
%END;

Care for Naming and Send Completion Mail

%IF &TAB_NAME ne %THEN %DO;
  data %SUBSTR(&TAB_NAME,1,3)&NUM%SUBSTR(&TAB_NAME,5,4);
  set
  %DO n=1 %TO &N_GRP;
    %IF &SPACE eq 1 %THEN dummy ;
    %IF %SCAN(&V_GRP,&N) ne &EXCLUDE %THEN row&NUM._&N ;
    %IF &SPACE eq 2 %THEN dummy ;
  %END;
    %IF &SPACE eq 3 %THEN dummy ;
   ;
  run;
%END;
%GEN_MAIL(name=&NAME);

Close Definition

%MEND TWO_CATV;

Parameters

Name Values Description
dsn string input dataset name
row, row2 string categorial variable name, 2=nested variable
exclude string decode for excluded group from &ROW
weight Y/N multiply percentages for &ROW and &ROW2
col string categorial variable name used for columns
head2 Y/N block header for nested variable
indent, indinc n number of indent columns and increment for nested variable
num n sequence number of output
stat Y/N column with statistics names
space 1/2/3 blank line before or after output and between nesting levels
struct, struct2 string name of reference dataset used for full decode structure, 2=nested variable
condense var#value non-distinct variable and true value for &ROW
misslin2 Y/N force missing line for nested variable