generating dummy variables

[Anwesha Chakrabarti]

Dear all,

I have the following data coming from a lab experiment from multiple sessions. Under each session I have 6 treatments and under each treatment subjects play for 30 periods. I have 10 subjects for each session. From the data I am trying to create a dummy variable. The dummy should take a value 0 if n2=n3, and take a value 1 if n2!=n3 for all the subsequent periods. For example for each treatment, if the inequality occurs at period 18, the dummy should take a value 1 from period 18 onward. If the inequality occurs at multiple periods, say for example, at periods 5, 13 and 19, the dummy should take a value 1 starting from period 5. Below is a snippet of the data. I would appreciate any help with creating the dummy variable.

Thanks,
Anwesha

* Example generated by -dataex-. To install: ssc install dataex
clear
input float n2 byte(n3 session order period group subject) str4 treatment byte lowbudget float unqtrt
6 8 1 6 14 2  1 "SA" 0 3
6 8 1 6 14 1  2 "SA" 0 3
6 8 1 6 14 2  3 "SA" 0 3
6 8 1 6 14 2  4 "SA" 0 3
6 8 1 6 14 1  5 "SA" 0 3
6 8 1 6 14 2  6 "SA" 0 3
6 8 1 6 14 1  7 "SA" 0 3
6 8 1 6 14 1  8 "SA" 0 3
6 8 1 6 14 1  9 "SA" 0 3
6 8 1 6 14 1 10 "SA" 0 3
6 6 1 6 15 2  1 "SA" 0 3
6 6 1 6 15 1  2 "SA" 0 3
6 6 1 6 15 1  3 "SA" 0 3
6 6 1 6 15 1  4 "SA" 0 3
6 6 1 6 15 1  5 "SA" 0 3
6 6 1 6 15 1  6 "SA" 0 3
6 6 1 6 15 2  7 "SA" 0 3
6 6 1 6 15 2  8 "SA" 0 3
6 6 1 6 15 1  9 "SA" 0 3
6 6 1 6 15 2 10 "SA" 0 3
6 6 1 6 16 1  1 "SA" 0 3
6 6 1 6 16 2  2 "SA" 0 3
6 6 1 6 16 1  3 "SA" 0 3
6 6 1 6 16 1  4 "SA" 0 3
6 6 1 6 16 2  5 "SA" 0 3
6 6 1 6 16 1  6 "SA" 0 3
6 6 1 6 16 2  7 "SA" 0 3
6 6 1 6 16 1  8 "SA" 0 3
6 6 1 6 16 2  9 "SA" 0 3
6 6 1 6 16 1 10 "SA" 0 3
6 7 1 6 17 1  1 "SA" 0 3
6 7 1 6 17 2  2 "SA" 0 3
6 7 1 6 17 2  3 "SA" 0 3
6 7 1 6 17 1  4 "SA" 0 3
6 7 1 6 17 2  5 "SA" 0 3
6 7 1 6 17 1  6 "SA" 0 3
6 7 1 6 17 2  7 "SA" 0 3
6 7 1 6 17 1  8 "SA" 0 3
6 7 1 6 17 2  9 "SA" 0 3
6 7 1 6 17 2 10 "SA" 0 3
5 5 1 6 18 2  1 "SA" 0 3
5 5 1 6 18 2  2 "SA" 0 3
5 5 1 6 18 2  3 "SA" 0 3
5 5 1 6 18 2  4 "SA" 0 3
5 5 1 6 18 1  5 "SA" 0 3
5 5 1 6 18 2  6 "SA" 0 3
5 5 1 6 18 2  7 "SA" 0 3
5 5 1 6 18 1  8 "SA" 0 3
5 5 1 6 18 2  9 "SA" 0 3
5 5 1 6 18 1 10 "SA" 0 3
5 5 1 6 19 1  1 "SA" 0 3
5 5 1 6 19 1  2 "SA" 0 3
5 5 1 6 19 2  3 "SA" 0 3
5 5 1 6 19 2  4 "SA" 0 3
5 5 1 6 19 2  5 "SA" 0 3
5 5 1 6 19 1  6 "SA" 0 3
5 5 1 6 19 2  7 "SA" 0 3
5 5 1 6 19 1  8 "SA" 0 3
5 5 1 6 19 2  9 "SA" 0 3
5 5 1 6 19 1 10 "SA" 0 3
8 8 1 6 20 2  1 "SA" 0 3
8 8 1 6 20 2  2 "SA" 0 3
8 8 1 6 20 1  3 "SA" 0 3
8 8 1 6 20 1  4 "SA" 0 3
8 8 1 6 20 1  5 "SA" 0 3
8 8 1 6 20 1  6 "SA" 0 3
8 8 1 6 20 1  7 "SA" 0 3
8 8 1 6 20 2  8 "SA" 0 3
8 8 1 6 20 1  9 "SA" 0 3
8 8 1 6 20 1 10 "SA" 0 3
5 5 1 6 21 1  1 "SA" 0 3
5 5 1 6 21 2  2 "SA" 0 3
5 5 1 6 21 2  3 "SA" 0 3
5 5 1 6 21 2  4 "SA" 0 3
5 5 1 6 21 1  5 "SA" 0 3
5 5 1 6 21 1  6 "SA" 0 3
5 5 1 6 21 2  7 "SA" 0 3
5 5 1 6 21 1  8 "SA" 0 3
5 5 1 6 21 1  9 "SA" 0 3
5 5 1 6 21 2 10 "SA" 0 3
6 6 1 6 22 1  1 "SA" 0 3
6 6 1 6 22 1  2 "SA" 0 3
6 6 1 6 22 2  3 "SA" 0 3
6 6 1 6 22 2  4 "SA" 0 3
6 6 1 6 22 2  5 "SA" 0 3
6 6 1 6 22 1  6 "SA" 0 3
6 6 1 6 22 1  7 "SA" 0 3
6 6 1 6 22 2  8 "SA" 0 3
6 6 1 6 22 1  9 "SA" 0 3
6 6 1 6 22 1 10 "SA" 0 3
7 7 1 6 23 1  1 "SA" 0 3
7 7 1 6 23 2  2 "SA" 0 3
7 7 1 6 23 2  3 "SA" 0 3
7 7 1 6 23 1  4 "SA" 0 3
7 7 1 6 23 2  5 "SA" 0 3
7 7 1 6 23 2  6 "SA" 0 3
7 7 1 6 23 1  7 "SA" 0 3
7 7 1 6 23 2  8 "SA" 0 3
7 7 1 6 23 2  9 "SA" 0 3
7 7 1 6 23 2 10 "SA" 0 3
6 6 1 6 24 1  1 "SA" 0 3
6 6 1 6 24 2  2 "SA" 0 3
6 6 1 6 24 2  3 "SA" 0 3
6 6 1 6 24 1  4 "SA" 0 3
6 6 1 6 24 2  5 "SA" 0 3
6 6 1 6 24 2  6 "SA" 0 3
6 6 1 6 24 2  7 "SA" 0 3
6 6 1 6 24 1  8 "SA" 0 3
6 6 1 6 24 1  9 "SA" 0 3
6 6 1 6 24 2 10 "SA" 0 3
6 6 1 6 25 1  1 "SA" 0 3
6 6 1 6 25 1  2 "SA" 0 3
6 6 1 6 25 2  3 "SA" 0 3
6 6 1 6 25 1  4 "SA" 0 3
6 6 1 6 25 1  5 "SA" 0 3
6 6 1 6 25 2  6 "SA" 0 3
6 6 1 6 25 2  7 "SA" 0 3
6 6 1 6 25 2  8 "SA" 0 3
6 6 1 6 25 1  9 "SA" 0 3
6 6 1 6 25 2 10 "SA" 0 3
6 6 1 6 26 1  1 "SA" 0 3
6 6 1 6 26 1  2 "SA" 0 3
6 6 1 6 26 1  3 "SA" 0 3
6 6 1 6 26 2  4 "SA" 0 3
6 6 1 6 26 1  5 "SA" 0 3
6 6 1 6 26 2  6 "SA" 0 3
6 6 1 6 26 1  7 "SA" 0 3
6 6 1 6 26 2  8 "SA" 0 3
6 6 1 6 26 2  9 "SA" 0 3
6 6 1 6 26 2 10 "SA" 0 3
7 7 1 6 27 1  1 "SA" 0 3
7 7 1 6 27 1  2 "SA" 0 3
7 7 1 6 27 2  3 "SA" 0 3
7 7 1 6 27 1  4 "SA" 0 3
7 7 1 6 27 1  5 "SA" 0 3
7 7 1 6 27 1  6 "SA" 0 3
7 7 1 6 27 2  7 "SA" 0 3
7 7 1 6 27 1  8 "SA" 0 3
7 7 1 6 27 1  9 "SA" 0 3
7 7 1 6 27 2 10 "SA" 0 3
5 5 1 6 28 1  1 "SA" 0 3
5 5 1 6 28 2  2 "SA" 0 3
5 5 1 6 28 2  3 "SA" 0 3
5 5 1 6 28 2  4 "SA" 0 3
5 5 1 6 28 1  5 "SA" 0 3
5 5 1 6 28 2  6 "SA" 0 3
5 5 1 6 28 2  7 "SA" 0 3
5 5 1 6 28 2  8 "SA" 0 3
5 5 1 6 28 2  9 "SA" 0 3
5 5 1 6 28 2 10 "SA" 0 3
6 7 1 6 29 1  1 "SA" 0 3
6 7 1 6 29 1  2 "SA" 0 3
6 7 1 6 29 2  3 "SA" 0 3
6 7 1 6 29 2  4 "SA" 0 3
6 7 1 6 29 2  5 "SA" 0 3
6 7 1 6 29 1  6 "SA" 0 3
6 7 1 6 29 2  7 "SA" 0 3
6 7 1 6 29 2  8 "SA" 0 3
6 7 1 6 29 1  9 "SA" 0 3
6 7 1 6 29 2 10 "SA" 0 3
end

[Nick Cox]

Thanks for the data example, but I am struggling with this.

0. It's I guess tacit that you want calculations done separately by subject and treatment.

1. You give us some variables that don't appear relevant to the question.

2. I can't see a complete example of all 30 periods for any (subject, treatment) pair.

Otherwise my guess is that something like this may help.

bysort subject treatment (period) : gen wanted = sum(n2 != n3) > 0

as you want an indicator for whether inequality has been observed so far.

[Anwesha Chakrabarti]

Thanks for getting back so quickly. You are right, I was not clear and also, provided confusing variables that were not needed. Here is another try at it:

This time I am posting a snippet from two treatments from only one session(eventually I will have 12 sessions and 6 treatments), with all 30 periods and 10 subjects. So a total of 2*30*10=600 observations. For this exercise, my analysis is at the period level. So I am comparing n2 and n3 at each period for each treatment. What I need is a dummy that equals 0 if n2=n3 and equals 1 if n2!=n3 for each subsequent period.

* Example generated by -dataex-. To install: ssc install    dataex
clear
input byte(session period subject) float n2 byte(n3 trt3    trt4)
1  1  1 2 2 0 1
1  1  2 2 2 0 1
1  1  3 2 2 0 1
1  1  4 2 2 0 1
1  1  5 2 2 0 1
1  1  6 2 2 0 1
1  1  7 2 2 0 1
1  1  8 2 2 0 1
1  1  9 2 2 0 1
1  1 10 2 2 0 1
1  2  1 2 2 0 1
1  2  2 2 2 0 1
1  2  3 2 2 0 1
1  2  4 2 2 0 1
1  2  5 2 2 0 1
1  2  6 2 2 0 1
1  2  7 2 2 0 1
1  2  8 2 2 0 1
1  2  9 2 2 0 1
1  2 10 2 2 0 1
1  3  1 3 3 0 1
1  3  2 3 3 0 1
1  3  3 3 3 0 1
1  3  4 3 3 0 1
1  3  5 3 3 0 1
1  3  6 3 3 0 1
1  3  7 3 3 0 1
1  3  8 3 3 0 1
1  3  9 3 3 0 1
1  3 10 3 3 0 1
1  4  1 3 3 0 1
1  4  2 3 3 0 1
1  4  3 3 3 0 1
1  4  4 3 3 0 1
1  4  5 3 3 0 1
1  4  6 3 3 0 1
1  4  7 3 3 0 1
1  4  8 3 3 0 1
1  4  9 3 3 0 1
1  4 10 3 3 0 1
1  5  1 4 4 0 1
1  5  2 4 4 0 1
1  5  3 4 4 0 1
1  5  4 4 4 0 1
1  5  5 4 4 0 1
1  5  6 4 4 0 1
1  5  7 4 4 0 1
1  5  8 4 4 0 1
1  5  9 4 4 0 1
1  5 10 4 4 0 1
1  6  1 2 2 0 1
1  6  2 2 2 0 1
1  6  3 2 2 0 1
1  6  4 2 2 0 1
1  6  5 2 2 0 1
1  6  6 2 2 0 1
1  6  7 2 2 0 1
1  6  8 2 2 0 1
1  6  9 2 2 0 1
1  6 10 2 2 0 1
1  7  1 3 3 0 1
1  7  2 3 3 0 1
1  7  3 3 3 0 1
1  7  4 3 3 0 1
1  7  5 3 3 0 1
1  7  6 3 3 0 1
1  7  7 3 3 0 1
1  7  8 3 3 0 1
1  7  9 3 3 0 1
1  7 10 3 3 0 1
1  8  1 2 2 0 1
1  8  2 2 2 0 1
1  8  3 2 2 0 1
1  8  4 2 2 0 1
1  8  5 2 2 0 1
1  8  6 2 2 0 1
1  8  7 2 2 0 1
1  8  8 2 2 0 1
1  8  9 2 2 0 1
1  8 10 2 2 0 1
1  9  1 2 2 0 1
1  9  2 2 2 0 1
1  9  3 2 2 0 1
1  9  4 2 2 0 1
1  9  5 2 2 0 1
1  9  6 2 2 0 1
1  9  7 2 2 0 1
1  9  8 2 2 0 1
1  9  9 2 2 0 1
1  9 10 2 2 0 1
1 10  1 2 2 0 1
1 10  2 2 2 0 1
1 10  3 2 2 0 1
1 10  4 2 2 0 1
1 10  5 2 2 0 1
1 10  6 2 2 0 1
1 10  7 2 2 0 1
1 10  8 2 2 0 1
1 10  9 2 2 0 1
1 10 10 2 2 0 1
1 11  1 2 2 0 1
1 11  2 2 2 0 1
1 11  3 2 2 0 1
1 11  4 2 2 0 1
1 11  5 2 2 0 1
1 11  6 2 2 0 1
1 11  7 2 2 0 1
1 11  8 2 2 0 1
1 11  9 2 2 0 1
1 11 10 2 2 0 1
1 12  1 2 2 0 1
1 12  2 2 2 0 1
1 12  3 2 2 0 1
1 12  4 2 2 0 1
1 12  5 2 2 0 1
1 12  6 2 2 0 1
1 12  7 2 2 0 1
1 12  8 2 2 0 1
1 12  9 2 2 0 1
1 12 10 2 2 0 1
1 13  1 1 1 0 1
1 13  2 1 1 0 1
1 13  3 1 1 0 1
1 13  4 1 1 0 1
1 13  5 1 1 0 1
1 13  6 1 1 0 1
1 13  7 1 1 0 1
1 13  8 1 1 0 1
1 13  9 1 1 0 1
1 13 10 1 1 0 1
1 14  1 1 1 0 1
1 14  2 1 1 0 1
1 14  3 1 1 0 1
1 14  4 1 1 0 1
1 14  5 1 1 0 1
1 14  6 1 1 0 1
1 14  7 1 1 0 1
1 14  8 1 1 0 1
1 14  9 1 1 0 1
1 14 10 1 1 0 1
1 15  1 3 3 0 1
1 15  2 3 3 0 1
1 15  3 3 3 0 1
1 15  4 3 3 0 1
1 15  5 3 3 0 1
1 15  6 3 3 0 1
1 15  7 3 3 0 1
1 15  8 3 3 0 1
1 15  9 3 3 0 1
1 15 10 3 3 0 1
1 16  1 1 1 0 1
1 16  2 1 1 0 1
1 16  3 1 1 0 1
1 16  4 1 1 0 1
1 16  5 1 1 0 1
1 16  6 1 1 0 1
1 16  7 1 1 0 1
1 16  8 1 1 0 1
1 16  9 1 1 0 1
1 16 10 1 1 0 1
1 17  1 2 2 0 1
1 17  2 2 2 0 1
1 17  3 2 2 0 1
1 17  4 2 2 0 1
1 17  5 2 2 0 1
1 17  6 2 2 0 1
1 17  7 2 2 0 1
1 17  8 2 2 0 1
1 17  9 2 2 0 1
1 17 10 2 2 0 1
1 18  1 4 4 0 1
1 18  2 4 4 0 1
1 18  3 4 4 0 1
1 18  4 4 4 0 1
1 18  5 4 4 0 1
1 18  6 4 4 0 1
1 18  7 4 4 0 1
1 18  8 4 4 0 1
1 18  9 4 4 0 1
1 18 10 4 4 0 1
1 19  1 2 2 0 1
1 19  2 2 2 0 1
1 19  3 2 2 0 1
1 19  4 2 2 0 1
1 19  5 2 2 0 1
1 19  6 2 2 0 1
1 19  7 2 2 0 1
1 19  8 2 2 0 1
1 19  9 2 2 0 1
1 19 10 2 2 0 1
1 20  1 3 3 0 1
1 20  2 3 3 0 1
1 20  3 3 3 0 1
1 20  4 3 3 0 1
1 20  5 3 3 0 1
1 20  6 3 3 0 1
1 20  7 3 3 0 1
1 20  8 3 3 0 1
1 20  9 3 3 0 1
1 20 10 3 3 0 1
1 21  1 2 2 0 1
1 21  2 2 2 0 1
1 21  3 2 2 0 1
1 21  4 2 2 0 1
1 21  5 2 2 0 1
1 21  6 2 2 0 1
1 21  7 2 2 0 1
1 21  8 2 2 0 1
1 21  9 2 2 0 1
1 21 10 2 2 0 1
1 22  1 3 3 0 1
1 22  2 3 3 0 1
1 22  3 3 3 0 1
1 22  4 3 3 0 1
1 22  5 3 3 0 1
1 22  6 3 3 0 1
1 22  7 3 3 0 1
1 22  8 3 3 0 1
1 22  9 3 3 0 1
1 22 10 3 3 0 1
1 23  1 2 2 0 1
1 23  2 2 2 0 1
1 23  3 2 2 0 1
1 23  4 2 2 0 1
1 23  5 2 2 0 1
1 23  6 2 2 0 1
1 23  7 2 2 0 1
1 23  8 2 2 0 1
1 23  9 2 2 0 1
1 23 10 2 2 0 1
1 24  1 2 2 0 1
1 24  2 2 2 0 1
1 24  3 2 2 0 1
1 24  4 2 2 0 1
1 24  5 2 2 0 1
1 24  6 2 2 0 1
1 24  7 2 2 0 1
1 24  8 2 2 0 1
1 24  9 2 2 0 1
1 24 10 2 2 0 1
1 25  1 2 2 0 1
1 25  2 2 2 0 1
1 25  3 2 2 0 1
1 25  4 2 2 0 1
1 25  5 2 2 0 1
1 25  6 2 2 0 1
1 25  7 2 2 0 1
1 25  8 2 2 0 1
1 25  9 2 2 0 1
1 25 10 2 2 0 1
1 26  1 3 3 0 1
1 26  2 3 3 0 1
1 26  3 3 3 0 1
1 26  4 3 3 0 1
1 26  5 3 3 0 1
1 26  6 3 3 0 1
1 26  7 3 3 0 1
1 26  8 3 3 0 1
1 26  9 3 3 0 1
1 26 10 3 3 0 1
1 27  1 2 2 0 1
1 27  2 2 2 0 1
1 27  3 2 2 0 1
1 27  4 2 2 0 1
1 27  5 2 2 0 1
1 27  6 2 2 0 1
1 27  7 2 2 0 1
1 27  8 2 2 0 1
1 27  9 2 2 0 1
1 27 10 2 2 0 1
1 28  1 2 2 0 1
1 28  2 2 2 0 1
1 28  3 2 2 0 1
1 28  4 2 2 0 1
1 28  5 2 2 0 1
1 28  6 2 2 0 1
1 28  7 2 2 0 1
1 28  8 2 2 0 1
1 28  9 2 2 0 1
1 28 10 2 2 0 1
1 29  1 3 3 0 1
1 29  2 3 3 0 1
1 29  3 3 3 0 1
1 29  4 3 3 0 1
1 29  5 3 3 0 1
1 29  6 3 3 0 1
1 29  7 3 3 0 1
1 29  8 3 3 0 1
1 29  9 3 3 0 1
1 29 10 3 3 0 1
1 30  1 3 3 0 1
1 30  2 3 3 0 1
1 30  3 3 3 0 1
1 30  4 3 3 0 1
1 30  5 3 3 0 1
1 30  6 3 3 0 1
1 30  7 3 3 0 1
1 30  8 3 3 0 1
1 30  9 3 3 0 1
1 30 10 3 3 0 1
1  1  1 5 5 1 0
1  1  2 5 5 1 0
1  1  3 5 5 1 0
1  1  4 5 5 1 0
1  1  5 5 5 1 0
1  1  6 5 5 1 0
1  1  7 5 5 1 0
1  1  8 5 5 1 0
1  1  9 5 5 1 0
1  1 10 5 5 1 0
1  2  1 5 5 1 0
1  2  2 5 5 1 0
1  2  3 5 5 1 0
1  2  4 5 5 1 0
1  2  5 5 5 1 0
1  2  6 5 5 1 0
1  2  7 5 5 1 0
1  2  8 5 5 1 0
1  2  9 5 5 1 0
1  2 10 5 5 1 0
1  3  1 5 5 1 0
1  3  2 5 5 1 0
1  3  3 5 5 1 0
1  3  4 5 5 1 0
1  3  5 5 5 1 0
1  3  6 5 5 1 0
1  3  7 5 5 1 0
1  3  8 5 5 1 0
1  3  9 5 5 1 0
1  3 10 5 5 1 0
1  4  1 5 5 1 0
1  4  2 5 5 1 0
1  4  3 5 5 1 0
1  4  4 5 5 1 0
1  4  5 5 5 1 0
1  4  6 5 5 1 0
1  4  7 5 5 1 0
1  4  8 5 5 1 0
1  4  9 5 5 1 0
1  4 10 5 5 1 0
1  5  1 5 5 1 0
1  5  2 5 5 1 0
1  5  3 5 5 1 0
1  5  4 5 5 1 0
1  5  5 5 5 1 0
1  5  6 5 5 1 0
1  5  7 5 5 1 0
1  5  8 5 5 1 0
1  5  9 5 5 1 0
1  5 10 5 5 1 0
1  6  1 5 5 1 0
1  6  2 5 5 1 0
1  6  3 5 5 1 0
1  6  4 5 5 1 0
1  6  5 5 5 1 0
1  6  6 5 5 1 0
1  6  7 5 5 1 0
1  6  8 5 5 1 0
1  6  9 5 5 1 0
1  6 10 5 5 1 0
1  7  1 6 6 1 0
1  7  2 6 6 1 0
1  7  3 6 6 1 0
1  7  4 6 6 1 0
1  7  5 6 6 1 0
1  7  6 6 6 1 0
1  7  7 6 6 1 0
1  7  8 6 6 1 0
1  7  9 6 6 1 0
1  7 10 6 6 1 0
1  8  1 6 6 1 0
1  8  2 6 6 1 0
1  8  3 6 6 1 0
1  8  4 6 6 1 0
1  8  5 6 6 1 0
1  8  6 6 6 1 0
1  8  7 6 6 1 0
1  8  8 6 6 1 0
1  8  9 6 6 1 0
1  8 10 6 6 1 0
1  9  1 6 6 1 0
1  9  2 6 6 1 0
1  9  3 6 6 1 0
1  9  4 6 6 1 0
1  9  5 6 6 1 0
1  9  6 6 6 1 0
1  9  7 6 6 1 0
1  9  8 6 6 1 0
1  9  9 6 6 1 0
1  9 10 6 6 1 0
1 10  1 6 6 1 0
1 10  2 6 6 1 0
1 10  3 6 6 1 0
1 10  4 6 6 1 0
1 10  5 6 6 1 0
1 10  6 6 6 1 0
1 10  7 6 6 1 0
1 10  8 6 6 1 0
1 10  9 6 6 1 0
1 10 10 6 6 1 0
1 11  1 6 6 1 0
1 11  2 6 6 1 0
1 11  3 6 6 1 0
1 11  4 6 6 1 0
1 11  5 6 6 1 0
1 11  6 6 6 1 0
1 11  7 6 6 1 0
1 11  8 6 6 1 0
1 11  9 6 6 1 0
1 11 10 6 6 1 0
1 12  1 5 5 1 0
1 12  2 5 5 1 0
1 12  3 5 5 1 0
1 12  4 5 5 1 0
1 12  5 5 5 1 0
1 12  6 5 5 1 0
1 12  7 5 5 1 0
1 12  8 5 5 1 0
1 12  9 5 5 1 0
1 12 10 5 5 1 0
1 13  1 7 7 1 0
1 13  2 7 7 1 0
1 13  3 7 7 1 0
1 13  4 7 7 1 0
1 13  5 7 7 1 0
1 13  6 7 7 1 0
1 13  7 7 7 1 0
1 13  8 7 7 1 0
1 13  9 7 7 1 0
1 13 10 7 7 1 0
1 14  1 6 8 1 0
1 14  2 6 8 1 0
1 14  3 6 8 1 0
1 14  4 6 8 1 0
1 14  5 6 8 1 0
1 14  6 6 8 1 0
1 14  7 6 8 1 0
1 14  8 6 8 1 0
1 14  9 6 8 1 0
1 14 10 6 8 1 0
1 15  1 6 6 1 0
1 15  2 6 6 1 0
1 15  3 6 6 1 0
1 15  4 6 6 1 0
1 15  5 6 6 1 0
1 15  6 6 6 1 0
1 15  7 6 6 1 0
1 15  8 6 6 1 0
1 15  9 6 6 1 0
1 15 10 6 6 1 0
1 16  1 6 6 1 0
1 16  2 6 6 1 0
1 16  3 6 6 1 0
1 16  4 6 6 1 0
1 16  5 6 6 1 0
1 16  6 6 6 1 0
1 16  7 6 6 1 0
1 16  8 6 6 1 0
1 16  9 6 6 1 0
1 16 10 6 6 1 0
1 17  1 6 7 1 0
1 17  2 6 7 1 0
1 17  3 6 7 1 0
1 17  4 6 7 1 0
1 17  5 6 7 1 0
1 17  6 6 7 1 0
1 17  7 6 7 1 0
1 17  8 6 7 1 0
1 17  9 6 7 1 0
1 17 10 6 7 1 0
1 18  1 5 5 1 0
1 18  2 5 5 1 0
1 18  3 5 5 1 0
1 18  4 5 5 1 0
1 18  5 5 5 1 0
1 18  6 5 5 1 0
1 18  7 5 5 1 0
1 18  8 5 5 1 0
1 18  9 5 5 1 0
1 18 10 5 5 1 0
1 19  1 5 5 1 0
1 19  2 5 5 1 0
1 19  3 5 5 1 0
1 19  4 5 5 1 0
1 19  5 5 5 1 0
1 19  6 5 5 1 0
1 19  7 5 5 1 0
1 19  8 5 5 1 0
1 19  9 5 5 1 0
1 19 10 5 5 1 0
1 20  1 8 8 1 0
1 20  2 8 8 1 0
1 20  3 8 8 1 0
1 20  4 8 8 1 0
1 20  5 8 8 1 0
1 20  6 8 8 1 0
1 20  7 8 8 1 0
1 20  8 8 8 1 0
1 20  9 8 8 1 0
1 20 10 8 8 1 0
1 21  1 5 5 1 0
1 21  2 5 5 1 0
1 21  3 5 5 1 0
1 21  4 5 5 1 0
1 21  5 5 5 1 0
1 21  6 5 5 1 0
1 21  7 5 5 1 0
1 21  8 5 5 1 0
1 21  9 5 5 1 0
1 21 10 5 5 1 0
1 22  1 6 6 1 0
1 22  2 6 6 1 0
1 22  3 6 6 1 0
1 22  4 6 6 1 0
1 22  5 6 6 1 0
1 22  6 6 6 1 0
1 22  7 6 6 1 0
1 22  8 6 6 1 0
1 22  9 6 6 1 0
1 22 10 6 6 1 0
1 23  1 7 7 1 0
1 23  2 7 7 1 0
1 23  3 7 7 1 0
1 23  4 7 7 1 0
1 23  5 7 7 1 0
1 23  6 7 7 1 0
1 23  7 7 7 1 0
1 23  8 7 7 1 0
1 23  9 7 7 1 0
1 23 10 7 7 1 0
1 24  1 6 6 1 0
1 24  2 6 6 1 0
1 24  3 6 6 1 0
1 24  4 6 6 1 0
1 24  5 6 6 1 0
1 24  6 6 6 1 0
1 24  7 6 6 1 0
1 24  8 6 6 1 0
1 24  9 6 6 1 0
1 24 10 6 6 1 0
1 25  1 6 6 1 0
1 25  2 6 6 1 0
1 25  3 6 6 1 0
1 25  4 6 6 1 0
1 25  5 6 6 1 0
1 25  6 6 6 1 0
1 25  7 6 6 1 0
1 25  8 6 6 1 0
1 25  9 6 6 1 0
1 25 10 6 6 1 0
1 26  1 6 6 1 0
1 26  2 6 6 1 0
1 26  3 6 6 1 0
1 26  4 6 6 1 0
1 26  5 6 6 1 0
1 26  6 6 6 1 0
1 26  7 6 6 1 0
1 26  8 6 6 1 0
1 26  9 6 6 1 0
1 26 10 6 6 1 0
1 27  1 7 7 1 0
1 27  2 7 7 1 0
1 27  3 7 7 1 0
1 27  4 7 7 1 0
1 27  5 7 7 1 0
1 27  6 7 7 1 0
1 27  7 7 7 1 0
1 27  8 7 7 1 0
1 27  9 7 7 1 0
1 27 10 7 7 1 0
1 28  1 5 5 1 0
1 28  2 5 5 1 0
1 28  3 5 5 1 0
1 28  4 5 5 1 0
1 28  5 5 5 1 0
1 28  6 5 5 1 0
1 28  7 5 5 1 0
1 28  8 5 5 1 0
1 28  9 5 5 1 0
1 28 10 5 5 1 0
1 29  1 6 7 1 0
1 29  2 6 7 1 0
1 29  3 6 7 1 0
1 29  4 6 7 1 0
1 29  5 6 7 1 0
1 29  6 6 7 1 0
1 29  7 6 7 1 0
1 29  8 6 7 1 0
1 29  9 6 7 1 0
1 29 10 6 7 1 0
1 30  1 6 6 1 0
1 30  2 6 6 1 0
1 30  3 6 6 1 0
1 30  4 6 6 1 0
1 30  5 6 6 1 0
1 30  6 6 6 1 0
1 30  7 6 6 1 0
1 30  8 6 6 1 0
1 30  9 6 6 1 0
1 30 10 6 6 1 0
end

[Anwesha Chakrabarti]

I think I got what I was looking for using the following

bysort session treatment (period) : gen wanted = sum(n2 != n3) > 0

Thanks.