how to display duplicated observations in a data using base
sas.
Answers were Sorted based on User's Feedback
two ways u can do ot.
1. proc sort with dupout option.
2. data step:
data nodups dups;
set sample;
by x;
if first. and last. then output nodups;
else output dups;
run;
proc print data=dups;
run;
| Is This Answer Correct ? | 6 Yes | 0 No |
Answer / m.sivakumar
data dups;
input var1;
datalines;
1
2
3
4
4
3
5
6
;
run;
proc sort data=dups;
by var1;
run;
data dups1;
set dups;
by var1;
if not(first.var1 and last.var1) then output;
run;
proc print data=dups;
run;
proc print data=dups1;
run;
| Is This Answer Correct ? | 4 Yes | 1 No |
Answer / pratik
By using Dopout option we can display duplicate observation.
Proc sort data=datasetname1 nodupkey dopout=datasetname2;
by varaible.
run;
proc print data=datasetname2;
run;
| Is This Answer Correct ? | 3 Yes | 0 No |
Answer / lakshmi
proc sort data=data1 out=data2 dupout=dup_data1 nodupkey;
by usubjid;
run;
the dataset dup_data1 has the duplicate observation.
| Is This Answer Correct ? | 3 Yes | 2 No |
Answer / sheetal
If you are using SAS version 9 then use dupout option with
proc sort.
| Is This Answer Correct ? | 2 Yes | 2 No |
Answer / prakash hullathi
use frequency procedure with single column
data dups;
input var1;
datalines;
1
2
3
4
4
3
5
6
;
run;
proc freq data=dups;
tables var1/norow nocol nopercent;
run;
The output will be like this
var1 frequency cumulative frequency
1 1 1
2 1 2
3 2 4
4 2 6
5 1 7
6 1 8
here the observations for the variable var1 3 and 4 are
appered 2 times and remaining appeared for 1 time by
seeing the frequency of corresponding variable and
observation
| Is This Answer Correct ? | 2 Yes | 2 No |
Answer / pranitha patel
By using dupout option...
Proc sort data = X out = Xclean
Dupout = X dups nodupkey :
By variable :
Run:
| Is This Answer Correct ? | 0 Yes | 0 No |
Answer / manoj
Dupout Option
It is available on V9.1 onwards.
proc sort data=demo dupout=demo1 out=demo3 nodupkey;
by var1;
run;
| Is This Answer Correct ? | 0 Yes | 1 No |
Answer / dilip
proc sort data=x out=y;
by v;
data m;
set y;
by v;
if first.v and last.v then delete;
run;
this is for extracting duplicate observations
from a dataset
| Is This Answer Correct ? | 1 Yes | 3 No |
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