Dear Statalist,
the following dataset lists the 16 variables , out of 1000 normally
distributed variable with mean 50 and standard deviation 10 , and then <
keep if mean>49.9 & mean < 50.1 & sd > 9.9 & sd< 10.1 > . I would like to
do this for different < set obs # > ,and 10,000 instead of 1000 , but
memory becomes an issue .What I thought I could do , is to save variable i
' s under a different name, and then go to the next <set obs #> and <
save,replace> over the previous 1000 or whatever variables .
+---------------------------+
mean sd i
---------------------------
1. 49.96996 9.978514 76
2. 49.92636 10.07861 118
3. 49.97271 10.07149 122
4. 50.07562 10.07239 218
5. 49.94316 9.913686 220
---------------------------
6. 50.02873 10.05811 346
7. 50.01596 10.04384 442
8. 50.00026 9.943673 513
9. 49.91186 9.95947 533
10. 50.00311 10.00525 629
---------------------------
11. 50.09705 9.929688 653
12. 49.98079 10.04592 678
13. 49.93727 9.962771 686
14. 49.98563 10.07247 694
15. 50.08827 9.936735 833
---------------------------
16. 49.97584 10.05994 854
I experimented with a loop :
. local i = 1
. while `i'<= _N {
2. use ai[`i'].dta,clear
3. save b`i',replace
4. local i = `i'+1
5. }
weights not allowed
r(101);
but it did not work
Is there a way I could do this ?
I would like to thank you in advance
Victor Michael Zammit
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