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Note: This task can also be accomplished using PROC MEANS and alleviates the need for a sorted or indexed data set.

---

These sample files and code examples are provided by SAS Institute Inc. "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein.

data test;
  input i j x;
datalines;
1 1 123
1 1 3245
1 2 23
1 2 543
1 2 87
1 3 90
2 1 88
2 1 86
;


/* When the first observation in each BY-Group is read, the variables JSUB and  */
/* FREQ are initialized to zero and with each subsequent observation in the     */
/* BY-Group, FREQ is incremented by one and JSUB is incremented by the value of */
/* X. When the last observation in the BY-Group is read, AVER is created by     */
/* dividing JSUB by FREQ to determine the average value for the group.          */

data jsubtot (keep=i j freq aver);
  set test;
  by i j;
  retain jsub freq;
  if first.j then do;
    jsub=0;
    freq=0;
  end;
  jsub + x;
  freq + 1;
  if last.j then do;
    aver=jsub/freq;
    output;
  end;
run;

proc print;
run;

/* Alternate approach using PROC MEANS to generate the same output */

proc means data=test noprint;
  by i j;
  output out=i_j(drop=_FREQ_ _TYPE_) n=freq mean=aver;
run;

---

These sample files and code examples are provided by SAS Institute Inc. "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein.

Obs    i    j    freq      aver
 1     1    1      2     1684.00
 2     1    2      3      217.67
 3     1    3      1       90.00
 4     2    1      2       87.00

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