Hello:
I would like to remove the group containing (10, 20, 30, and 40) duplicates with the stings the same in Class, Component and Product. If the strings in Class, Component and Product are different, I would like to keep it. Therefore, my final result should be something list below. Please advice. Thanks.
data test;
infile datalines dsd;
input Group Class : $20. Component : $20. Product : $20.;
datalines;
10, ANTI/INSULIN, , ,
10, ANTI/INSULIN, , ,
10, ANTI/VITA, , ,
15, PHENAZO, , ,
15, PHENAZO, , ,
19, Large, , ,
20, , HERBS, ,
20, , PSYCH, ,
20, , PSYCH, ,
22, , SKIN, ,
27, , HERBS, ,
27, , HERBS, ,
30, ANTI/INSULIN, , PHENAZO,
30, ANTI/INSULIN, , PHENAZO,
40, , , FLOWER,
40, , , SUBST,
45, , , BANZOCAINE,
45, , , BANZOCAINE,
;
data final;
infile datalines dsd;
input Group Class : $20. Component : $20. Product : $20.;
datalines;
10, ANTI/INSULIN, , ,
10, ANTI/VITA, , ,
15, PHENAZO, , ,
15, PHENAZO, , ,
19, Large, , ,
20, , HERBS, ,
20, , PSYCH, ,
22, , SKIN, ,
27, , HERBS, ,
27, , HERBS, ,
30, ANTI/INSULIN, , PHENAZO,
40, , , FLOWER,
40, , , SUBST,
45, , , BANZOCAINE,
45, , , BANZOCAINE,
;
Then subset + sort:
data temp; set have; where group in (10,20,30,40); run; proc sort data=temp nodupkey; by group class; run; data want; set have (where=(group not in (10,20,30,40)) temp; run;
Is that really your question, as I would think:
proc sort data=test nodupkey; by group class; run;
Would suffice?
Hi RW9:
I apologized that I didn't make my sample dataset clearly. I only need to remove the duplicated in (10, 20, 30, 40). In other word, if the duplicates are in (15, 27, and 45), I would like to keep them. Please see my adjusted post above. Thanks.
Then subset + sort:
data temp; set have; where group in (10,20,30,40); run; proc sort data=temp nodupkey; by group class; run; data want; set have (where=(group not in (10,20,30,40)) temp; run;
Awesome! thanks.
SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.