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Documentation Example 1 for PROC SURVEYMEANS


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/*          S A S   S A M P L E   L I B R A R Y                 */
/*                                                              */
/*    NAME: SVMEX1                                              */
/*   TITLE: Documentation Example 1 for PROC SURVEYMEANS        */
/* PRODUCT: STAT                                                */
/*  SYSTEM: ALL                                                 */
/*    KEYS: survey sampling, categorical data analysis          */
/*    KEYS: stratification, clustering                          */
/*    KEYS: unequal weighting, descriptive statistics           */
/*   PROCS: SURVEYMEANS                                         */
/*    DATA:                                                     */
/*                                                              */
/* SUPPORT: sasaba                                              */
/*     REF: PROC SURVEYMEANS, Example 1                         */
/*                                                              */
/*    MISC: Stratified Cluster Sample Design                    */
/*                                                              */
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data IceCreamStudy;
   input Grade StudyGroup Spending @@;
   if (Spending < 10) then Group='less';
      else Group='more';
   datalines;
7  34  7     7  34  7    7 412  4     9  27 14
7  34  2     9 230 15    9  27 15     7 501  2
9 230  8     9 230  7    7 501  3     8  59 20
7 403  4     7 403 11    8  59 13     8  59 17
8 143 12     8 143 16    8  59 18     9 235  9
8 143 10     9 312  8    9 235  6     9 235 11
9 312 10     7 321  6    8 156 19     8 156 14
7 321  3     7 321 12    7 489  2     7 489  9
7  78  1     7  78 10    7 489  2     7 156  1
7  78  6     7 412  6    7 156  2     9 301  8
;


data StudyGroups;
   input Grade _total_;
   datalines;
7 608
8 252
9 403
;


data IceCreamStudy;
   set IceCreamStudy;
   if Grade=7 then Prob=8/608;
   if Grade=8 then Prob=3/252;
   if Grade=9 then Prob=5/403;
   Weight=1/Prob;
run;


title1 'Analysis of Ice Cream Spending';
proc surveymeans data=IceCreamStudy total=StudyGroups;
   strata Grade / list;
   cluster StudyGroup;
   var Spending Group;
   weight Weight;
run;