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use http://www.ats.ucla.edu/stat/stata/notes/hsb2, clear
set seed 12345
generate rannum = uniform()
sort rannum
generate grp = .
replace grp = 0 in 1/50
replace grp = 1 in 51/100
replace grp = 2 in 101/150
replace grp = 3 in 151/200
tabulate grp
grp | Freq. Percent Cum.
------------+-----------------------------------
0 | 50 25.00 25.00
1 | 50 25.00 50.00
2 | 50 25.00 75.00
3 | 50 25.00 100.00
------------+-----------------------------------
Total | 200 100.00
sort id
clist id grp in 1/20
id grp
1. 1 0
2. 2 3
3. 3 2
4. 4 1
5. 5 0
6. 6 3
7. 7 1
8. 8 2
9. 9 0
10. 10 0
11. 11 1
12. 12 0
13. 13 3
14. 14 0
15. 15 3
16. 16 3
17. 17 3
18. 18 1
19. 19 3
20. 20 3
Of course, when you try this the grp number for each id will be in a different pattern
because we are using a random process to assign observations to groups.It is possible to make the code even simpler then the above by using the egen , cut() command.
use http://www.ats.ucla.edu/stat/stata/notes/hsb2, clear
generate rannum = uniform()
egen grp2 = cut(rannum), group(4)
sort id
list id grp2 in 1/20
id grp2
1. 1 0
2. 2 3
3. 3 2
4. 4 1
5. 5 0
6. 6 3
7. 7 1
8. 8 2
9. 9 0
10. 10 0
11. 11 1
12. 12 0
13. 13 3
14. 14 0
15. 15 3
16. 16 3
17. 17 3
18. 18 1
19. 19 3
20. 20 3For more information
See the Stata manual or Stata Help for
functions.
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