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vraj1
Quartz | Level 8

how to remove the entire records of each id if it has values as either missing or zero.

 

i.e if i have id and have 5 values to it and next id 4 values and one of them is missing or zero than i want to ommit the entire id.

 

Any help

1 ACCEPTED SOLUTION

Accepted Solutions
s_lassen
Meteorite | Level 14

Assuming that you mean that you have data like this:

data have;
  input id value;
Cards;
1 3
1 4
1 3
2 0
2 3
3 .
3 5
3 6
4 1
;run;

And you want to get rid of all the ID=2 records, because there is one with VALUE=0, and all the ID=3 records because there is one with a missing VALUE.

Then this should do the trick, provided your data is sorted by ID:

data want;
  merge have(where=(not value) in=null) have;
  by id;
  if not null;
run;

  

View solution in original post

5 REPLIES 5
srinath3111
Quartz | Level 8

Hi ,

data ds;
infile datalines;
input id val;
datalines;
1 1
2 0
3 5
4 0
5 2
;
run;

 

 

data ds1;
set ds;
array dat[*] _all_;
do i=1 to dim(dat);
if dat(i)=0 then delete;
end;
output;
run;

 

Thanks

vraj1
Quartz | Level 8
data ds;
infile datalines;
input id val;
datalines;
1 1
1 0
2 0
2 1
2 2
2 0
3 5
4 0
5 2
;
run;

In this case id 2 should not come as it has one value  val as 0. I dont want any id if has either 0 or missing and want the rest of the id and val

srinath3111
Quartz | Level 8

Hi,

 

Then try,

data ds2;
merge ds(where=(not val) in=null) ds;
by id;
if not null;
run;

 

Thanks 

 

RW9
Diamond | Level 26 RW9
Diamond | Level 26

It would help if you provided test data in the form of a datastep, and what the output should look like.  Just a guess:

data have (drop=flag);
  set have;
  array n{*} _numeric_;
  array c{*} _character_;
  do over n;
    if n in (.,0) then flag=1;
  end;
  do over c;
    if c="" then flag=1;
  end;
  if flag ne 1;
run;

Not tested as nothing provided.

s_lassen
Meteorite | Level 14

Assuming that you mean that you have data like this:

data have;
  input id value;
Cards;
1 3
1 4
1 3
2 0
2 3
3 .
3 5
3 6
4 1
;run;

And you want to get rid of all the ID=2 records, because there is one with VALUE=0, and all the ID=3 records because there is one with a missing VALUE.

Then this should do the trick, provided your data is sorted by ID:

data want;
  merge have(where=(not value) in=null) have;
  by id;
  if not null;
run;

  

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