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FreelanceReinh
Jade | Level 19

@mkeintz wrote:
BTW, with the streaminit value I used, there were only 11 instances of duplicates to be skipped.

This is very plausible. I had observed between 8 and 23 in a few trials. According to formulas I've just found in Volume I of Feller (1968), p. 225, the expected value is 15.56 (see code below). So, in this case the cost of avoiding duplicates is rather the maintenance of the lookup table than the 0.003% additional samples needed on average.

%let n=%sysevalf(26**7);
%let r=500000;

data _null_;
do k=0 to &r-1;
  s+1/(&n-k);
end;
E_exact_=&n*s-&r;
E_approx=&n*log((&n+0.5)/(&n-&r+0.5))-&r;
put (E:)(=best16./);
run;

 

Ksharp
Super User
/*Try UUIDGEN() function.
if you only want alpha, 
you could get rid of thoese digits*/
data a;
do i=1 to 50000;
want=uuidgen(123);
output;
end;
run;
Rick_SAS
SAS Super FREQ

The OP has selected an answer, but I am still curious about the reason for this question. @KatLinden Why do you want the character strings to be random? How will these strings be used?

Rick_SAS
SAS Super FREQ

The discussion on this thread inspired me to think about this problem and write up a solution. My approach: Use base 26 to convert a set of unique integers into a set of unique strings. If you expect to assign IDs to N subjects, you can use strings that have k characters, where N < 26^k.

 

The primary advantage of this technique over some of the other proposals is that it ensures uniqueness of the ID values. You don't have to check whether a random string has already been assigned.

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