BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
lpy0521
Fluorite | Level 6

Hey there,

 

I have a table look like this:

have: 
IDcat
id 1Y1
id 2Y2
id nY m

 

each id is falling into the corresponding category Y. Do we have any solution to transpose the table such that I can have following:

 

want:    
IDY1Y2Ym
id 1100
id 2010
    
id n001

 

In the want table, each id is flagged as 1 only if the corresponding column 'Y' can be found from table want.

 

 

Thanks in advance!!! 

1 ACCEPTED SOLUTION

Accepted Solutions
PeterClemmensen
Tourmaline | Level 20

Not sure if I am over simplifying things here?

 

data have;
input ID $ cat $;
infile datalines dlm=',';
var=1;
datalines;
id 1, Y1
id 2, Y2
id 3, Y3
;

proc transpose data=have out=temp(drop=_NAME_);
    by ID ;
    id cat;
    var var;
run;

proc stdize data=temp out=want reponly missing=0;
run;

View solution in original post

2 REPLIES 2
PeterClemmensen
Tourmaline | Level 20

Not sure if I am over simplifying things here?

 

data have;
input ID $ cat $;
infile datalines dlm=',';
var=1;
datalines;
id 1, Y1
id 2, Y2
id 3, Y3
;

proc transpose data=have out=temp(drop=_NAME_);
    by ID ;
    id cat;
    var var;
run;

proc stdize data=temp out=want reponly missing=0;
run;
Reeza
Super User
You can drop the VAR statement, SAS defaults it to 1 then 🙂

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!
How to Concatenate Values

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 2 replies
  • 539 views
  • 3 likes
  • 3 in conversation