re-orienting observations/column values

[TEJ]

Hi,

I am working on .csv file- importing to SAS for analysis. it's a lab data with columns like patient ID, dob, tests performed, results etc. There's varying # of observations for same ID- each repeatition being the "ID" for each test performed for this patient, sth like this-

ID                    DOB                   TEST                 RESULT

001              xx-xx-xxxx              test                       result

002              xx-xx-xxxx              test                       result

002              xx-xx-xxxx              test2                     result2

002              xx-xx-xxxx              test3                     result3

003              xx-xx-xxxx              test                       result

003              xx-xx-xxxx              test2                     result2

I want to create a dataset such that for each ID, i have columns- test1, test2, test3 etc. (and similarly, result result1 result2 etc.) and have all tests, results for this ID in 1 row.

How can I accomplish this?

I do not necessarily need same IDs in my final dataset (not sure if this makes any difference though)

Thank you,

T

[PGStats]

You want a simple transposition of your data, from long to wide. Experienced SAS users will tell you that the wide format is less useful than the long for most purposes, except reporting. Here is how to do it.

proc transpose data=myData out=myTable;
by id dob notsorted;
id test;
var result;
run;

[Reeza · Accepted solution]

Because you have two variables, I think you need either 2 proc transposes and a merge Or a datastep. Or you can use a macro designed by some very savy users. Links are below.

Using a Data Step
http://www.ats.ucla.edu/stat/sas/modules/longtowide_data.htm

Using Proc Transpose
http://www.ats.ucla.edu/stat/sas/modules/ltow_transpose.htm

Macro
http://www.sascommunity.org/wiki/A_Better_Way_to_Flip_(Transpose)_a_SAS_Dataset

[FreelanceReinh]

Another elegant way to transpose two or more variables in a BY-group, just with a data step, can be found in the award-winning paper "Practical Uses of the DOW Loop in Pharmaceutical Programming" (see Example 1 there).

However, I doubt it would be useful for you to go beyond PG's suggestion and transpose both TEST and RESULT.