Flag presence/absence across variables

[NewUsrStat]

Hi guys, 

suppose to have the following: 

data DB;
  input ID :$20. Admission :date09. Discharge :date09. Index Variable1 Variable2 Variable3;
  format Admission date9. Discharge date9.;
cards;
166  16FEB2019 26FEB2019  1   1   0  0
166  18MAR2019 25MAR2019  0   0   0  0
166  12APR2020 02JUN2020  0   0   0  0
170  22FEB2017 07MAR2017  1   0   0  0
170  22FEB2017 07MAR2017  0   0   0  0
170  30JAN2019 04MAR2019  0   0   0  0
313  03MAR2016 10MAR2016  1   0   1  0
313  03MAR2016 10MAR2016  0   0   0  0
313  12DEC2019 15DEC2019  0   0   0  0
215  22DEC2014 25DEC2014  1   1   0  0  
; 

Is there a way to get the following? 

data DB1;
  input ID :$20. Admission :date09. Discharge :date09. Index Variable1 Variable2 Variable3 Count;
  format Admission date9. Discharge date9.;
cards;
166  16FEB2019 26FEB2019  1   1   0  0  1
166  18MAR2019 25MAR2019  0   0   0  0  0
166  12APR2020 02JUN2020  0   0   0  0  0
170  22FEB2017 07MAR2017  1   0   0  0  0
170  22FEB2017 07MAR2017  0   0   0  0  0
170  30JAN2019 04MAR2019  0   0   0  0  0
313  03MAR2016 10MAR2016  1   0   1  0  1
313  03MAR2016 10MAR2016  0   0   0  0  0
313  12DEC2019 15DEC2019  0   0   0  0  0
215  22DEC2014 25DEC2014  1   1   0  0  1
; 

In other words where Index = 1 if there is at least one record = 1 in Variable1-3 then add a new variable Count = 1 otherwise 0. 

Thank you in advance

[PaigeMiller]

Seems as if when INDEX=1, you want to test to see if there is a 1 in variable1-variable3. Testing these three variables is a simple series of IF statements, or better yet you can use the SUM function

if sum(of variable1-variable3)>0 then ... ;
else ... ;

[Tom · Accepted solution]

Are these binary variables?  Do you want the COUNT of how many were true (as the variable name implies) or another binary variable?

This seems to express what you want.

First let's make a HAVE dataset that included the expected result.

Spoiler

data have;
  input ID :$20. Admission :date. Discharge :date. Index Variable1-Variable3 expect;
  format Admission Discharge date9.;
cards;
166  16FEB2019 26FEB2019  1   1   0  0  1
166  18MAR2019 25MAR2019  0   0   0  0  0
166  12APR2020 02JUN2020  0   0   0  0  0
170  22FEB2017 07MAR2017  1   0   0  0  0
170  22FEB2017 07MAR2017  0   0   0  0  0
170  30JAN2019 04MAR2019  0   0   0  0  0
313  03MAR2016 10MAR2016  1   0   1  0  1
313  03MAR2016 10MAR2016  0   0   0  0  0
313  12DEC2019 15DEC2019  0   0   0  0  0
215  22DEC2014 25DEC2014  1   1   0  0  1
; 

Now we can take advantage of the 0/1 coding to use a simple expression to calculate the COUNT of how many are TRUE when INDEX is TRUE  like this:

data want;
  set have;
  count=index*sum(of variable1-variable3);
run;

If instead of a COUNT you actual want another boolean flag then use the MAX() function instead of the SUM() function.  Or replace the * operator with the AND operator instead.

Result:

3162  proc print;
3163    where count ne expect;
3164  run;

NOTE: No observations were selected from data set WORK.WANT.
NOTE: There were 0 observations read from the data set WORK.WANT.
      WHERE count not = expect;
NOTE: PROCEDURE PRINT used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds