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DanielQuay
Quartz | Level 8

Hello,

 

I am working with a dataset where the Race Category was input rather oddly.

Essentially, I have 8 binary variables, Race_White, Race_Black, Race_Asian, etc. 

For each variable the response is 0 if false or 1 if true. 

I need to combine each of these variables into a single race category for analysis.

Essentially creating a variable of Race where 1=White, 2=Black, 3=Asian etc. from the binary variables.

 

So far I am striking out. it seems to me this should be an if then function but I seem to be missing something

3 REPLIES 3
RW9
Diamond | Level 26 RW9
Diamond | Level 26

Will the variables only be populated once?  If so you could just do:

data want;
  set have;
  select (sum(of race_:));
    when 1 then race="White";
    when 2 then race=...;
    ...
  end;
run;

If not then you would need to do each one, and cat the result:

data want;
  set have;
  array r{*} race_;;
  do i=1 to dim(r);
    if r{i}=1 then race=catx(',',race,vname(r{i});
  end;
  race=tranwrd(race,"race_","");
run;
Reeza
Super User

It's not odd. It's done this way to account for multiple entries, ie someone can flag both White and Black, and it's also how a regression model requires the variables for analysis - with the dummy coded values of 0/1.  Make sure you need to change it first.

 


@DanielQuay wrote:

Hello,

 

I am working with a dataset where the Race Category was input rather oddly.

Essentially, I have 8 binary variables, Race_White, Race_Black, Race_Asian, etc. 

For each variable the response is 0 if false or 1 if true. 

I need to combine each of these variables into a single race category for analysis.

Essentially creating a variable of Race where 1=White, 2=Black, 3=Asian etc. from the binary variables.

 

So far I am striking out. it seems to me this should be an if then function but I seem to be missing something


 

 

DanielQuay
Quartz | Level 8

Thanks for the assistance, though I figured out how to do it without using an array. 

The issue I was having was a simple thing in my data statement.

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