Handbook of SAS DATA Step Programming

176 Handbook of SAS

®

DATA Step Programming

of the data set. That is to say, only values in the rst three observations

in COMPARE1 and all the observations in COMPARE2 in STUDENTID,

GENDER, and WEIGHT1 variables are compared.

In the generated output from PROC COMPARE, the “Variable Summary”

table summarizes variable differences, including the number of common

variables (4), the number of variables in one data set but not in the other

(one in COMPARE1 but not in COMPARE2), the number of variables that

have conicting types (1), and the number of variables that have different

attributes (1). The variable with conicting type (HEIGHT) appears in the

“Listing of Common Variables with Conicting Types” table. The variable

with different attribu