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raja777pharma
Fluorite | Level 6

Hi Team,

 

I am working to assign flag values for below data ,as below are rules

 

>  if three row values for same date , same visit and two  values 'Normal'  and one values 'Abnormal' then latest record will flag as 'Y'

>  in three row records all are same then latest/last record will flag as 'Y'

> in three results first one is normal and second one is abnormal and third one is Normal then , third normal values will flag 'Y'

> if first two values are abnormal and last values is normal then second value abnormal will flag 'Y'

 

Current data :

SubjidVisitDateidResult
101Visit110-Sep-241Normal
101Visit110-Sep-242Normal
101Visit110-Sep-243Abnormal
     
102Visiti213-Jun-241Normal
102Visiti213-Jun-242Abnormal
102Visiti213-Jun-243Normal
     
103Visit102-Mar-241Abnormal
103Visit102-Mar-242Normal
103Visit102-Mar-243Abnormal
     
104Visit123-Feb-241Abnormal
104Visit123-Feb-242Abnormal
104Visit123-Feb-243Normal
     
105Visit118-Jan-241Normal
105Visit118-Jan-242Normal
105Visit118-Jan-243Normal
     
105Visit225-Jan-241Abnormal
105Visit225-Jan-242Abnormal
105Visit225-Jan-243Abnormal

 

want assign flag values as below 

 

SubjidVisitDateidResultFlag
101Visit110-Sep-241Normal 
101Visit110-Sep-242NormalY
101Visit110-Sep-243Abnormal 
      
102Visiti213-Jun-241Normal 
102Visiti213-Jun-242Abnormal 
102Visiti213-Jun-243NormalY
      
103Visit102-Mar-241Abnormal 
103Visit102-Mar-242Normal 
103Visit102-Mar-243AbnormalY
      
104Visit123-Feb-241Abnormal 
104Visit123-Feb-242AbnormalY
104Visit123-Feb-243Normal 
      
105Visit118-Jan-241Normal 
105Visit118-Jan-242Normal 
105Visit118-Jan-243NormalY
      
105Visit225-Jan-241Abnormal 
105Visit225-Jan-242Abnormal 
105Visit225-Jan-243AbnormalY

 

Thank you,

Raja.

8 REPLIES 8
SASJedi
SAS Super FREQ

First, I recreate the input data set:

data have;
	infile datalines dsd dlm='09'x;
	input Subjid:3.	Visit:$6.	Date:ANYDTDTE9.	id:1.	Result:$10.;
	format Date YYMMDD10.;
datalines;
101	Visit1	10-Sep-24	1	Normal
101	Visit1	10-Sep-24	2	Normal
101	Visit1	10-Sep-24	3	Abnormal
102	Visit2	13-Jun-24	1	Normal
102	Visit2	13-Jun-24	2	Abnormal
102	Visit2	13-Jun-24	3	Normal
103	Visit1	02-Mar-24	1	Abnormal
103	Visit1	02-Mar-24	2	Normal
103	Visit1	02-Mar-24	3	Abnormal
104	Visit1	23-Feb-24	1	Abnormal
104	Visit1	23-Feb-24	2	Abnormal
104	Visit1	23-Feb-24	3	Normal
105	Visit1	18-Jan-24	1	Normal
105	Visit1	18-Jan-24	2	Normal
105	Visit1	18-Jan-24	3	Normal
105	Visit2	25-Jan-24	1	Abnormal
105	Visit2	25-Jan-24	2	Abnormal
105	Visit2	25-Jan-24	3	Abnormal
;

I'd do this using temporary arrays to store values for the whole group before deciding where to put the flag. Temp arrays don't use PDV variables to store values, so you don't have to worry about PDV initialization wiping them out. Like this:

data want;
	/* Temporary arrays will retain values from all records in a group */
	array i[3] _temporary_;
	array r[3] $8 _temporary_;
	set have;
	by SubjID Visit Date;
	Length Flag $1;
	/* Start of new group - make array and flag values missing */
	if first.Date then do;
		call missing(of r[*],Flag);
	end;
	/* Stash current record values in the arrays */
	i[id]=id;
	r[id]=Result;
	/* When we have them all, process and write output */
	if last.Date then do;
		/* First record is never flagged */
		id=i[1];result=r[1];output;
		/* If all 3 results are the same, flag the last */
		if r[1]=r[2] and r[1]=r[3] then do;
			id=i[2];result=r[2];output;
			Flag='Y';
			id=i[3];result=r[3];output;
		end;
		/* If results 1 and 2 are the same, flag the second */
		else if r[1]=r[2] then do;
			Flag='Y';
			id=i[2];result=r[2];output;
			call missing(Flag);
			id=i[3];result=r[3];output;
		end;
		/* If results 1 and 3 are the same, flag the last */
		else if r[1]=r[3] then do;
			id=i[2];result=r[2];output;
			Flag='Y';
			id=i[3];result=r[3];output;
		end;
	end;
run;

And, violá!

 
Obs Subjid Visit Date id Result Flag
1 101 Visit1 2024-09-10 1 Normal  
2 101 Visit1 2024-09-10 2 Normal Y
3 101 Visit1 2024-09-10 3 Abnormal  
4 102 Visit2 2024-06-13 1 Normal  
5 102 Visit2 2024-06-13 2 Abnormal  
6 102 Visit2 2024-06-13 3 Normal Y
7 103 Visit1 2024-03-02 1 Abnormal  
8 103 Visit1 2024-03-02 2 Normal  
9 103 Visit1 2024-03-02 3 Abnormal Y
10 104 Visit1 2024-02-23 1 Abnormal  
11 104 Visit1 2024-02-23 2 Abnormal Y
12 104 Visit1 2024-02-23 3 Normal  
13 105 Visit1 2024-01-18 1 Normal  
14 105 Visit1 2024-01-18 2 Normal  
15 105 Visit1 2024-01-18 3 Normal Y
16 105 Visit2 2024-01-25 1 Abnormal  
17 105 Visit2 2024-01-25 2 Abnormal  
18 105 Visit2 2024-01-25 3 Abnormal Y
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raja777pharma
Fluorite | Level 6

Hi ,

 

Thank you for resolution, however i am very poor to understanding the array in SAS.

 

Is any other way to do the same task with out array.

 

Thank you,

Raja.

A_Kh
Lapis Lazuli | Level 10

Hi, 
Alternatively, it can be solved via BY/GROUP  processing. For that data should be sorted by subject, visit, date and result. When more than one results are the same for sorted variables, then LAST.RESULT is flagged. 
Using data from @SASJedi .

proc sort data=have; 
	by subjid visit date result; 
run; 

data want;
	set have;
	by subjid visit date result;
	if last.result  and not first.result then Flag='Y';
run; 

proc sort data=want; 
	by subjid visit date id result; 
run;
raja777pharma
Fluorite | Level 6

Hi,

 

Thank you for solution , but in my data some subjects have only one record and those not flagged see below screen shot

raja777pharma_0-1726068041855.png

 

 

Thank you,

Raja.

A_Kh
Lapis Lazuli | Level 10

Then FIRST.variable and LAST.variable condition should be extended to related variables. If there is one record per subject, then if first.subject and last.subject condition works. If there are 2 visits per subject and each has one result, then if first.visit and last.visit condition works etc..
For your given example data in the screenshot, the first condition above works.
Try this:

if first.subjid and last.subjid then flag='Y';
else if first.visit and last.visit then flag='Y';
else if last.result and not first.result then flag='Y';
ballardw
Super User

@raja777pharma wrote:

Hi,

 

Thank you for solution , but in my data some subjects have only one record and those not flagged 


Please note that your original post does not provide any requirements or rules for what is to happen if a subject has only one visit, only two visits ore more than 3 visits.

So what are the rules for those?

Kurt_Bremser
Super User

@raja777pharma wrote:

Hi ,

 

Thank you for resolution, however i am very poor to understanding the array in SAS.

 

Is any other way to do the same task with out array.

 

Thank you,

Raja.


As arrays are among the most useful and important elements of DATA step programming, this simply means you have to learn their use. NOW.

See Maxim 13.

Ksharp
Super User
data have;
infile cards expandtabs;
input Subjid	Visit $	Date :date11.	id	Result $;
format date date11.;
cards;
101	Visit1	10-Sep-24	1	Normal
101	Visit1	10-Sep-24	2	Normal
101	Visit1	10-Sep-24	3	Abnormal	 	 	 	
102	Visiti2	13-Jun-24	1	Normal
102	Visiti2	13-Jun-24	2	Abnormal
102	Visiti2	13-Jun-24	3	Normal	 	 	 	 
103	Visit1	02-Mar-24	1	Abnormal
103	Visit1	02-Mar-24	2	Normal
103	Visit1	02-Mar-24	3	Abnormal	 	 	 	 
104	Visit1	23-Feb-24	1	Abnormal
104	Visit1	23-Feb-24	2	Abnormal
104	Visit1	23-Feb-24	3	Normal	 	 	 	 
105	Visit1	18-Jan-24	1	Normal
105	Visit1	18-Jan-24	2	Normal
105	Visit1	18-Jan-24	3	Normal	 	 	 	 
105	Visit2	25-Jan-24	1	Abnormal
105	Visit2	25-Jan-24	2	Abnormal
105	Visit2	25-Jan-24	3	Abnormal
;

data want;
do until(last.date);
  set have;
  by subjid date;
  if id=1 and Result='Normal' then first_normal=1;
  if id=1 and Result='Abnormal' then first_abnormal=1;
  if id=2 and Result='Normal' then second_normal=1;
  if id=2 and Result='Abnormal' then second_abnormal=1;
  if id=3 and Result='Normal' then third_normal=1;
  if id=3 and Result='Abnormal' then third_abnormal=1;
end;
do until(last.date);
  set have;
  by subjid date;
  if first_normal and second_normal and third_abnormal and id=3 then flag='Y';
  if ((first_normal and second_normal and third_normal) or 
     (first_abnormal and second_abnormal and third_abnormal)) and id=3 then flag='Y';
  if first_normal and second_abnormal and third_normal and id=3 then flag='Y';
  if first_abnormal and second_abnormal and third_normal and id=2 then flag='Y';
output;
call missing(flag);
end;
drop first: second: third:;
run;

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