The REPORT Procedure

Example 11: How PROC REPORT Handles Missing Values

Procedure features:

PROC REPORT statement options:

MISSING

COLUMN statement

with the N statistic

Other features:

TITLE statement

Formats:

$MGRFMT.

This example illustrates the difference between the way PROC REPORT handles missing values for group (or order or across) variables with and without the MISSING option. The differences in the reports are apparent if you compare the values of N for each row and compare the totals in the default summary at the end of the report.

Program with Data Set with No Missing Values

libname proclib 'SAS-data-library';

options nodate pageno=1 linesize=64 pagesize=60
        fmtsearch=(proclib);

data grocmiss;
   input Sector $ Manager $ Department $ Sales @@;
datalines;
se 1 np1 50    .  1 p1 100   se . np2 120   se 1 p2 80
se 2 np1 40    se 2 p1 300   se 2 np2 220   se 2 p2 70
nw 3 np1 60    nw 3 p1 600   .  3 np2 420   nw 3 p2 30
nw 4 np1 45    nw 4 p1 250   nw 4 np2 230   nw 4 p2 73
nw 9 np1 45    nw 9 p1 205   nw 9 np2 420   nw 9 p2 76
sw 5 np1 53    sw 5 p1 130   sw 5 np2 120   sw 5 p2 50
.  . np1 40    sw 6 p1 350   sw 6 np2 225   sw 6 p2 80
ne 7 np1 90    ne . p1 190   ne 7 np2 420   ne 7 p2 86
ne 8 np1 200   ne 8 p1 300   ne 8 np2 420   ne 8 p2 125
;

proc report data=grocmiss nowd headline;

   column sector manager N sales;

   define sector / group format=$sctrfmt.;
   define manager / group format=$mgrfmt.;
   define sales / format=dollar9.2;

   rbreak after / dol summarize;

   title 'Summary Report for All Sectors and Managers';
run;

Output with No Missing Values

Program with Data Set with Missing Values

proc report data=grocmiss nowd headline missing; column sector manager N sales; define sector / group format=$sctrfmt.; define manager / group format=$mgrfmt.; define sales / format=dollar9.2; rbreak after / dol summarize; run;

Output with Missing Values

Chapter Contents
Previous
Next
Top of Page