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  • -tuples- (SSC) and maximum number of local macros

    Is there a maximum number of local macros allowed in Stata? Or: What is the maximum number of local macros the SSC program tuples can generate?

    The following syntax creates the 80 local macros `tuple1' to `tuple80' as intended:
    Code:
    local px "05 10 15 20"
    local py "05 10 15 20"
    local r "50 55 60 65 70"
    
    * local py = "02.5 05 10 15 20 25 30 45 50 55"
    * local px = "02.5 05 10 15 20 25 30 45 50 55"
    * local r = "05 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95"
    
    local notupx2 ""
    tuples `px', min(2) max(2)
    forvalues t = 1/`ntuples' {
       local el = 0
       foreach n of local px {
          local ++el
          local num = `el'
          local tuple`t' = subinstr("`tuple`t''","`n'","`num'",.)
       }
       local tuple`t' = subinstr("`tuple`t''"," ","&",.)
       local notupx2 "`notupx2' !(`tuple`t'')"
    }
    * local notupx2 = strtrim("`notupx2'")
    local plus = `num'
    di "`notupx2'"
    
    local notupy2 ""
    tuples `py', min(2) max(2)
    forvalues t = 1/`ntuples' {
       local el = 0
       foreach n of local py {
          local ++el
          local num = `el'+`plus'
          local tuple`t' = subinstr("`tuple`t''","`n'","`num'",.)
       }
       local tuple`t' = subinstr("`tuple`t''"," ","&",.)
       local notupy2 "`notupy2' !(`tuple`t'')"
    }
    * local notupy2 = strtrim("`notupy2'")
    local plus = `num'
    
    local notupr2 ""
    tuples `r', min(2) max(2)
    forvalues t = 1/`ntuples' {
       local el = 0
       foreach n of local r {
          local ++el
          local num = `el'+`plus'
          local tuple`t' = subinstr("`tuple`t''","`n'","`num'",.)
       }
       local tuple`t' = subinstr("`tuple`t''"," ","&",.)
       local notupr2 "`notupr2' !(`tuple`t'')"
    }
    * local notupr = strtrim("`notupr2'")
    
    * ------------------------------------------------------------------------------
    
    local notupx3 = ""
    tuples `px', min(3) max(3)
    forvalues t = 1/`ntuples' {
       local el = 0
       foreach n of local px {
          local ++el
          local num = `el'
          local tuple`t' = subinstr("`tuple`t''","`n'","`num'",.)
       }
       local tuple`t' = subinstr("`tuple`t''"," ","&",.)
       local notupx3 "`notupx3' !(`tuple`t'')"
    }
    * local notupx3 = strtrim("`notupx3'")
    local plus = `num'
    
    local notupy3 = ""
    tuples `py', min(3) max(3)
    forvalues t = 1/`ntuples' {
       local el = 0
       foreach n of local py {
          local ++el
          local num = `el'+`plus'
          local tuple`t' = subinstr("`tuple`t''","`n'","`num'",.)
       }
       local tuple`t' = subinstr("`tuple`t''"," ","&",.)
       local notupy3 "`notupy3' !(`tuple`t'')"
    }
    * local notupy3 = strtrim("`notupy3'")
    local plus = `num'
    
    local notupr3 = ""
    tuples `r', min(3) max(3)
    forvalues t = 1/`ntuples' {
       local el = 0
       foreach n of local r {
          local ++el
          local num = `el'+`plus'
          local tuple`t' = subinstr("`tuple`t''","`n'","`num'",.)
       }
       local tuple`t' = subinstr("`tuple`t''"," ","&",.)
       local notupr3 "`notupr3' !(`tuple`t'')"
    }
    * local notupr3 = strtrim("`notupr3'")
    
    * ------------------------------------------------------------------------------
    local notupel "`notupx2' `notupx3' `notupy2' `notupy3' `notupr2' `notupr3'"
    macro drop _ntup* _tupl* _num _el _plus _notupx* _notupy* _notupr*
    * di "`notupel'"
    
    tuples `px' `py' `r' , min(3) max(3) conditionals(`notupel')
    macro dir
    However, if I de-comment lines 1-3 and comment out lines 5-7 instead, tuples first stops running and subequently Stata crashes. I know that 1,900 local macros are really a lot. If this is not possible, I will continue with a follow-up question explaining the purpose to see whether there is an alternative solution to my task.

  • #2
    Hmm, I don't know if there is a maximum number of macros at all. This page only talks about limits to the number of nested macros, and of the length of macro names and macro contents.

    Comment


    • #3
      Dirk, I wonder if the problem is with something other than -tuples- itself. I don't understand exactly what you want to do above (my fault; I'm not good at deciphering others' code), but I just did ran the following and my top tuple is tuple184756, no problem.

      Code:
      numlist "1/20"
      tuples `r(numlist)', min(10) max(10) 
      mac dir
      Your code ok for me with either set of locals. I have Stata 19.5 SE on a Windows machine, and I'm using tuples 4.2.0

      I have done quite a bit of fooling around with generating and processing combinations. Maybe your ultimate goal is like something I have done in a different way, so if you can't get your approach to work, I might be able to suggest something else. (For example, it might be easier to use a Stata combination generator that puts the combinations into a matrix or dataset one at a time?) If that's of interest, why don't you give a verbal description of what you are trying to do here?)

      Comment


      • #4
        I run a series of simulations with systematically going through combinations of x and y (ranging from .025 , .05 and then up to .55 in steps of .05) and r (ranging from .05 to .95 in steps of .05) and identified the seed number resulting to the closest values of the target values. Now I want to write code taking the seed from each of the simulated datasets (i.e. for each of the 1,900 combinations of x, y, and r). Therefore I have to specify commands taking these values for x, y, and r together with the seed number found. My intention was to use Stata to generate the code because writing up all combinations is a bit tedious.

        A bit more specific: In the end I want to arrive at one command line for each combination of x, y, and r where I will replace the value of the option seed(`i') by the seed number found in the previous simulations:
        Code:
        qui cap ovbd y x, means(M) corr(C) seed(`i') verbose
        I used his command in the previous simulation with 1,000 replications from which now I want to have only one specific seed number for each combination of x, y, and r (ovbd is from SSC)
        Last edited by Dirk Enzmann; Yesterday, 19:16. Reason: Added the second paragraph

        Comment


        • #5
          You can run code below to show that you can have (at least) 10M local macros and likely many more, so I doubt that there is any practical limit to the number of local macros for your purposes.

          Code:
          clear *
          cls
          
          forval i = 1/10000000 {
            local i`i'=`i'
            if mod(`i',100000)==0 mac list _i`i'
          }

          Comment


          • #6
            The problem may not be with the number of tuples, but with the number of conditions being put on the tuples. Where Stata seems to get stuck is line 76 of tuples.ado (I have version 4.2.0):
            Code:
            mata : conditionals_to_rpn("conditionals", `n')
            Specifically, it tries to run
            Code:
            mata : conditionals_to_rpn("conditionals", 39)
            where the local macro conditionals that is being provided as an input, looks like this:
            Code:
             !(9&10) !(8&10) !(8&9) !(7&10) !(7&9) !(7&8) !(6&10) !(6&9) !(6&8) !(6&7) !(5&10) !(5&9) !(5&8) !(5&7) !(5&6) !(4&10) !(4&9) !(4&8) !(4&7) !(4&6) !(4&5) !(3&
            > 10) !(3&9) !(3&8) !(3&7) !(3&6) !(3&5) !(3&4) !(2&10) !(2&9) !(2&8) !(2&7) !(2&6) !(2&5) !(2&4) !(2&3) !(1&10) !(1&9) !(1&8) !(1&7) !(1&6) !(1&5) !(1&4) !(1&3) !(1&2)
            >   !(8&9&10) !(7&9&10) !(7&8&10) !(7&8&9) !(6&9&10) !(6&8&10) !(6&8&9) !(6&7&10) !(6&7&9) !(6&7&8) !(5&9&10) !(5&8&10) !(5&8&9) !(5&7&10) !(5&7&9) !(5&7&8) !(5&6&10) !
            > (5&6&9) !(5&6&8) !(5&6&7) !(4&9&10) !(4&8&10) !(4&8&9) !(4&7&10) !(4&7&9) !(4&7&8) !(4&6&10) !(4&6&9) !(4&6&8) !(4&6&7) !(4&5&10) !(4&5&9) !(4&5&8) !(4&5&7) !(4&5&6)
            > !(3&9&10) !(3&8&10) !(3&8&9) !(3&7&10) !(3&7&9) !(3&7&8) !(3&6&10) !(3&6&9) !(3&6&8) !(3&6&7) !(3&5&10) !(3&5&9) !(3&5&8) !(3&5&7) !(3&5&6) !(3&4&10) !(3&4&9) !(3&4&8
            > ) !(3&4&7) !(3&4&6) !(3&4&5) !(2&9&10) !(2&8&10) !(2&8&9) !(2&7&10) !(2&7&9) !(2&7&8) !(2&6&10) !(2&6&9) !(2&6&8) !(2&6&7) !(2&5&10) !(2&5&9) !(2&5&8) !(2&5&7) !(2&5&
            > 6) !(2&4&10) !(2&4&9) !(2&4&8) !(2&4&7) !(2&4&6) !(2&4&5) !(2&3&10) !(2&3&9) !(2&3&8) !(2&3&7) !(2&3&6) !(2&3&5) !(2&3&4) !(1&9&10) !(1&8&10) !(1&8&9) !(1&7&10) !(1&7
            > &9) !(1&7&8) !(1&6&10) !(1&6&9) !(1&6&8) !(1&6&7) !(1&5&10) !(1&5&9) !(1&5&8) !(1&5&7) !(1&5&6) !(1&4&10) !(1&4&9) !(1&4&8) !(1&4&7) !(1&4&6) !(1&4&5) !(1&3&10) !(1&3
            > &9) !(1&3&8) !(1&3&7) !(1&3&6) !(1&3&5) !(1&3&4) !(1&2&10) !(1&2&9) !(1&2&8) !(1&2&7) !(1&2&6) !(1&2&5) !(1&2&4) !(1&2&3)  !(19&20) !(18&20) !(18&19) !(17&20) !(17&19
            > ) !(17&18) !(16&20) !(16&19) !(16&18) !(16&17) !(15&20) !(15&19) !(15&18) !(15&17) !(15&16) !(14&20) !(14&19) !(14&18) !(14&17) !(14&16) !(14&15) !(13&20) !(13&19) !(
            > 13&18) !(13&17) !(13&16) !(13&15) !(13&14) !(12&20) !(12&19) !(12&18) !(12&17) !(12&16) !(12&15) !(12&14) !(12&13) !(11&20) !(11&19) !(11&18) !(11&17) !(11&16) !(11&1
            > 5) !(11&14) !(11&13) !(11&12)  !(18&19&20) !(17&19&20) !(17&18&20) !(17&18&19) !(16&19&20) !(16&18&20) !(16&18&19) !(16&17&20) !(16&17&19) !(16&17&18) !(15&19&20) !(1
            > 5&18&20) !(15&18&19) !(15&17&20) !(15&17&19) !(15&17&18) !(15&16&20) !(15&16&19) !(15&16&18) !(15&16&17) !(14&19&20) !(14&18&20) !(14&18&19) !(14&17&20) !(14&17&19) !
            > (14&17&18) !(14&16&20) !(14&16&19) !(14&16&18) !(14&16&17) !(14&15&20) !(14&15&19) !(14&15&18) !(14&15&17) !(14&15&16) !(13&19&20) !(13&18&20) !(13&18&19) !(13&17&20)
            >  !(13&17&19) !(13&17&18) !(13&16&20) !(13&16&19) !(13&16&18) !(13&16&17) !(13&15&20) !(13&15&19) !(13&15&18) !(13&15&17) !(13&15&16) !(13&14&20) !(13&14&19) !(13&14&1
            > 8) !(13&14&17) !(13&14&16) !(13&14&15) !(12&19&20) !(12&18&20) !(12&18&19) !(12&17&20) !(12&17&19) !(12&17&18) !(12&16&20) !(12&16&19) !(12&16&18) !(12&16&17) !(12&15
            > &20) !(12&15&19) !(12&15&18) !(12&15&17) !(12&15&16) !(12&14&20) !(12&14&19) !(12&14&18) !(12&14&17) !(12&14&16) !(12&14&15) !(12&13&20) !(12&13&19) !(12&13&18) !(12&
            > 13&17) !(12&13&16) !(12&13&15) !(12&13&14) !(11&19&20) !(11&18&20) !(11&18&19) !(11&17&20) !(11&17&19) !(11&17&18) !(11&16&20) !(11&16&19) !(11&16&18) !(11&16&17) !(1
            > 1&15&20) !(11&15&19) !(11&15&18) !(11&15&17) !(11&15&16) !(11&14&20) !(11&14&19) !(11&14&18) !(11&14&17) !(11&14&16) !(11&14&15) !(11&13&20) !(11&13&19) !(11&13&18) !
            > (11&13&17) !(11&13&16) !(11&13&15) !(11&13&14) !(11&12&20) !(11&12&19) !(11&12&18) !(11&12&17) !(11&12&16) !(11&12&15) !(11&12&14) !(11&12&13)  !(38&39) !(37&39) !(37
            > &38) !(36&39) !(36&38) !(36&37) !(35&39) !(35&38) !(35&37) !(35&36) !(34&39) !(34&38) !(34&37) !(34&36) !(34&35) !(33&39) !(33&38) !(33&37) !(33&36) !(33&35) !(33&34)
            >  !(32&39) !(32&38) !(32&37) !(32&36) !(32&35) !(32&34) !(32&33) !(31&39) !(31&38) !(31&37) !(31&36) !(31&35) !(31&34) !(31&33) !(31&32) !(30&39) !(30&38) !(30&37) !(3
            > 0&36) !(30&35) !(30&34) !(30&33) !(30&32) !(30&31) !(29&39) !(29&38) !(29&37) !(29&36) !(29&35) !(29&34) !(29&33) !(29&32) !(29&31) !(29&30) !(28&39) !(28&38) !(28&37
            > ) !(28&36) !(28&35) !(28&34) !(28&33) !(28&32) !(28&31) !(28&30) !(28&29) !(27&39) !(27&38) !(27&37) !(27&36) !(27&35) !(27&34) !(27&33) !(27&32) !(27&31) !(27&30) !(
            > 27&29) !(27&28) !(26&39) !(26&38) !(26&37) !(26&36) !(26&35) !(26&34) !(26&33) !(26&32) !(26&31) !(26&30) !(26&29) !(26&28) !(26&27) !(25&39) !(25&38) !(25&37) !(25&3
            > 6) !(25&35) !(25&34) !(25&33) !(25&32) !(25&31) !(25&30) !(25&29) !(25&28) !(25&27) !(25&26) !(24&39) !(24&38) !(24&37) !(24&36) !(24&35) !(24&34) !(24&33) !(24&32) !
            > (24&31) !(24&30) !(24&29) !(24&28) !(24&27) !(24&26) !(24&25) !(23&39) !(23&38) !(23&37) !(23&36) !(23&35) !(23&34) !(23&33) !(23&32) !(23&31) !(23&30) !(23&29) !(23&
            > 28) !(23&27) !(23&26) !(23&25) !(23&24) !(22&39) !(22&38) !(22&37) !(22&36) !(22&35) !(22&34) !(22&33) !(22&32) !(22&31) !(22&30) !(22&29) !(22&28) !(22&27) !(22&26)
            > !(22&25) !(22&24) !(22&23) !(21&39) !(21&38) !(21&37) !(21&36) !(21&35) !(21&34) !(21&33) !(21&32) !(21&31) !(21&30) !(21&29) !(21&28) !(21&27) !(21&26) !(21&25) !(21
            > &24) !(21&23) !(21&22)  !(37&38&39) !(36&38&39) !(36&37&39) !(36&37&38) !(35&38&39) !(35&37&39) !(35&37&38) !(35&36&39) !(35&36&38) !(35&36&37) !(34&38&39) !(34&37&39
            > ) !(34&37&38) !(34&36&39) !(34&36&38) !(34&36&37) !(34&35&39) !(34&35&38) !(34&35&37) !(34&35&36) !(33&38&39) !(33&37&39) !(33&37&38) !(33&36&39) !(33&36&38) !(33&36&
            > 37) !(33&35&39) !(33&35&38) !(33&35&37) !(33&35&36) !(33&34&39) !(33&34&38) !(33&34&37) !(33&34&36) !(33&34&35) !(32&38&39) !(32&37&39) !(32&37&38) !(32&36&39) !(32&3
            > 6&38) !(32&36&37) !(32&35&39) !(32&35&38) !(32&35&37) !(32&35&36) !(32&34&39) !(32&34&38) !(32&34&37) !(32&34&36) !(32&34&35) !(32&33&39) !(32&33&38) !(32&33&37) !(32
            > &33&36) !(32&33&35) !(32&33&34) !(31&38&39) !(31&37&39) !(31&37&38) !(31&36&39) !(31&36&38) !(31&36&37) !(31&35&39) !(31&35&38) !(31&35&37) !(31&35&36) !(31&34&39) !(
            > 31&34&38) !(31&34&37) !(31&34&36) !(31&34&35) !(31&33&39) !(31&33&38) !(31&33&37) !(31&33&36) !(31&33&35) !(31&33&34) !(31&32&39) !(31&32&38) !(31&32&37) !(31&32&36)
            > !(31&32&35) !(31&32&34) !(31&32&33) !(30&38&39) !(30&37&39) !(30&37&38) !(30&36&39) !(30&36&38) !(30&36&37) !(30&35&39) !(30&35&38) !(30&35&37) !(30&35&36) !(30&34&39
            > ) !(30&34&38) !(30&34&37) !(30&34&36) !(30&34&35) !(30&33&39) !(30&33&38) !(30&33&37) !(30&33&36) !(30&33&35) !(30&33&34) !(30&32&39) !(30&32&38) !(30&32&37) !(30&32&
            > 36) !(30&32&35) !(30&32&34) !(30&32&33) !(30&31&39) !(30&31&38) !(30&31&37) !(30&31&36) !(30&31&35) !(30&31&34) !(30&31&33) !(30&31&32) !(29&38&39) !(29&37&39) !(29&3
            > 7&38) !(29&36&39) !(29&36&38) !(29&36&37) !(29&35&39) !(29&35&38) !(29&35&37) !(29&35&36) !(29&34&39) !(29&34&38) !(29&34&37) !(29&34&36) !(29&34&35) !(29&33&39) !(29
            > &33&38) !(29&33&37) !(29&33&36) !(29&33&35) !(29&33&34) !(29&32&39) !(29&32&38) !(29&32&37) !(29&32&36) !(29&32&35) !(29&32&34) !(29&32&33) !(29&31&39) !(29&31&38) !(
            > 29&31&37) !(29&31&36) !(29&31&35) !(29&31&34) !(29&31&33) !(29&31&32) !(29&30&39) !(29&30&38) !(29&30&37) !(29&30&36) !(29&30&35) !(29&30&34) !(29&30&33) !(29&30&32)
            > !(29&30&31) !(28&38&39) !(28&37&39) !(28&37&38) !(28&36&39) !(28&36&38) !(28&36&37) !(28&35&39) !(28&35&38) !(28&35&37) !(28&35&36) !(28&34&39) !(28&34&38) !(28&34&37
            > ) !(28&34&36) !(28&34&35) !(28&33&39) !(28&33&38) !(28&33&37) !(28&33&36) !(28&33&35) !(28&33&34) !(28&32&39) !(28&32&38) !(28&32&37) !(28&32&36) !(28&32&35) !(28&32&
            > 34) !(28&32&33) !(28&31&39) !(28&31&38) !(28&31&37) !(28&31&36) !(28&31&35) !(28&31&34) !(28&31&33) !(28&31&32) !(28&30&39) !(28&30&38) !(28&30&37) !(28&30&36) !(28&3
            > 0&35) !(28&30&34) !(28&30&33) !(28&30&32) !(28&30&31) !(28&29&39) !(28&29&38) !(28&29&37) !(28&29&36) !(28&29&35) !(28&29&34) !(28&29&33) !(28&29&32) !(28&29&31) !(28
            > &29&30) !(27&38&39) !(27&37&39) !(27&37&38) !(27&36&39) !(27&36&38) !(27&36&37) !(27&35&39) !(27&35&38) !(27&35&37) !(27&35&36) !(27&34&39) !(27&34&38) !(27&34&37) !(
            > 27&34&36) !(27&34&35) !(27&33&39) !(27&33&38) !(27&33&37) !(27&33&36) !(27&33&35) !(27&33&34) !(27&32&39) !(27&32&38) !(27&32&37) !(27&32&36) !(27&32&35) !(27&32&34)
            > !(27&32&33) !(27&31&39) !(27&31&38) !(27&31&37) !(27&31&36) !(27&31&35) !(27&31&34) !(27&31&33) !(27&31&32) !(27&30&39) !(27&30&38) !(27&30&37) !(27&30&36) !(27&30&35
            > ) !(27&30&34) !(27&30&33) !(27&30&32) !(27&30&31) !(27&29&39) !(27&29&38) !(27&29&37) !(27&29&36) !(27&29&35) !(27&29&34) !(27&29&33) !(27&29&32) !(27&29&31) !(27&29&
            > 30) !(27&28&39) !(27&28&38) !(27&28&37) !(27&28&36) !(27&28&35) !(27&28&34) !(27&28&33) !(27&28&32) !(27&28&31) !(27&28&30) !(27&28&29) !(26&38&39) !(26&37&39) !(26&3
            > 7&38) !(26&36&39) !(26&36&38) !(26&36&37) !(26&35&39) !(26&35&38) !(26&35&37) !(26&35&36) !(26&34&39) !(26&34&38) !(26&34&37) !(26&34&36) !(26&34&35) !(26&33&39) !(26
            > &33&38) !(26&33&37) !(26&33&36) !(26&33&35) !(26&33&34) !(26&32&39) !(26&32&38) !(26&32&37) !(26&32&36) !(26&32&35) !(26&32&34) !(26&32&33) !(26&31&39) !(26&31&38) !(
            > 26&31&37) !(26&31&36) !(26&31&35) !(26&31&34) !(26&31&33) !(26&31&32) !(26&30&39) !(26&30&38) !(26&30&37) !(26&30&36) !(26&30&35) !(26&30&34) !(26&30&33) !(26&30&32)
            > !(26&30&31) !(26&29&39) !(26&29&38) !(26&29&37) !(26&29&36) !(26&29&35) !(26&29&34) !(26&29&33) !(26&29&32) !(26&29&31) !(26&29&30) !(26&28&39) !(26&28&38) !(26&28&37
            > ) !(26&28&36) !(26&28&35) !(26&28&34) !(26&28&33) !(26&28&32) !(26&28&31) !(26&28&30) !(26&28&29) !(26&27&39) !(26&27&38) !(26&27&37) !(26&27&36) !(26&27&35) !(26&27&
            > 34) !(26&27&33) !(26&27&32) !(26&27&31) !(26&27&30) !(26&27&29) !(26&27&28) !(25&38&39) !(25&37&39) !(25&37&38) !(25&36&39) !(25&36&38) !(25&36&37) !(25&35&39) !(25&3
            > 5&38) !(25&35&37) !(25&35&36) !(25&34&39) !(25&34&38) !(25&34&37) !(25&34&36) !(25&34&35) !(25&33&39) !(25&33&38) !(25&33&37) !(25&33&36) !(25&33&35) !(25&33&34) !(25
            > &32&39) !(25&32&38) !(25&32&37) !(25&32&36) !(25&32&35) !(25&32&34) !(25&32&33) !(25&31&39) !(25&31&38) !(25&31&37) !(25&31&36) !(25&31&35) !(25&31&34) !(25&31&33) !(
            > 25&31&32) !(25&30&39) !(25&30&38) !(25&30&37) !(25&30&36) !(25&30&35) !(25&30&34) !(25&30&33) !(25&30&32) !(25&30&31) !(25&29&39) !(25&29&38) !(25&29&37) !(25&29&36)
            > !(25&29&35) !(25&29&34) !(25&29&33) !(25&29&32) !(25&29&31) !(25&29&30) !(25&28&39) !(25&28&38) !(25&28&37) !(25&28&36) !(25&28&35) !(25&28&34) !(25&28&33) !(25&28&32
            > ) !(25&28&31) !(25&28&30) !(25&28&29) !(25&27&39) !(25&27&38) !(25&27&37) !(25&27&36) !(25&27&35) !(25&27&34) !(25&27&33) !(25&27&32) !(25&27&31) !(25&27&30) !(25&27&
            > 29) !(25&27&28) !(25&26&39) !(25&26&38) !(25&26&37) !(25&26&36) !(25&26&35) !(25&26&34) !(25&26&33) !(25&26&32) !(25&26&31) !(25&26&30) !(25&26&29) !(25&26&28) !(25&2
            > 6&27) !(24&38&39) !(24&37&39) !(24&37&38) !(24&36&39) !(24&36&38) !(24&36&37) !(24&35&39) !(24&35&38) !(24&35&37) !(24&35&36) !(24&34&39) !(24&34&38) !(24&34&37) !(24
            > &34&36) !(24&34&35) !(24&33&39) !(24&33&38) !(24&33&37) !(24&33&36) !(24&33&35) !(24&33&34) !(24&32&39) !(24&32&38) !(24&32&37) !(24&32&36) !(24&32&35) !(24&32&34) !(
            > 24&32&33) !(24&31&39) !(24&31&38) !(24&31&37) !(24&31&36) !(24&31&35) !(24&31&34) !(24&31&33) !(24&31&32) !(24&30&39) !(24&30&38) !(24&30&37) !(24&30&36) !(24&30&35)
            > !(24&30&34) !(24&30&33) !(24&30&32) !(24&30&31) !(24&29&39) !(24&29&38) !(24&29&37) !(24&29&36) !(24&29&35) !(24&29&34) !(24&29&33) !(24&29&32) !(24&29&31) !(24&29&30
            > ) !(24&28&39) !(24&28&38) !(24&28&37) !(24&28&36) !(24&28&35) !(24&28&34) !(24&28&33) !(24&28&32) !(24&28&31) !(24&28&30) !(24&28&29) !(24&27&39) !(24&27&38) !(24&27&
            > 37) !(24&27&36) !(24&27&35) !(24&27&34) !(24&27&33) !(24&27&32) !(24&27&31) !(24&27&30) !(24&27&29) !(24&27&28) !(24&26&39) !(24&26&38) !(24&26&37) !(24&26&36) !(24&2
            > 6&35) !(24&26&34) !(24&26&33) !(24&26&32) !(24&26&31) !(24&26&30) !(24&26&29) !(24&26&28) !(24&26&27) !(24&25&39) !(24&25&38) !(24&25&37) !(24&25&36) !(24&25&35) !(24
            > &25&34) !(24&25&33) !(24&25&32) !(24&25&31) !(24&25&30) !(24&25&29) !(24&25&28) !(24&25&27) !(24&25&26) !(23&38&39) !(23&37&39) !(23&37&38) !(23&36&39) !(23&36&38) !(
            > 23&36&37) !(23&35&39) !(23&35&38) !(23&35&37) !(23&35&36) !(23&34&39) !(23&34&38) !(23&34&37) !(23&34&36) !(23&34&35) !(23&33&39) !(23&33&38) !(23&33&37) !(23&33&36)
            > !(23&33&35) !(23&33&34) !(23&32&39) !(23&32&38) !(23&32&37) !(23&32&36) !(23&32&35) !(23&32&34) !(23&32&33) !(23&31&39) !(23&31&38) !(23&31&37) !(23&31&36) !(23&31&35
            > ) !(23&31&34) !(23&31&33) !(23&31&32) !(23&30&39) !(23&30&38) !(23&30&37) !(23&30&36) !(23&30&35) !(23&30&34) !(23&30&33) !(23&30&32) !(23&30&31) !(23&29&39) !(23&29&
            > 38) !(23&29&37) !(23&29&36) !(23&29&35) !(23&29&34) !(23&29&33) !(23&29&32) !(23&29&31) !(23&29&30) !(23&28&39) !(23&28&38) !(23&28&37) !(23&28&36) !(23&28&35) !(23&2
            > 8&34) !(23&28&33) !(23&28&32) !(23&28&31) !(23&28&30) !(23&28&29) !(23&27&39) !(23&27&38) !(23&27&37) !(23&27&36) !(23&27&35) !(23&27&34) !(23&27&33) !(23&27&32) !(23
            > &27&31) !(23&27&30) !(23&27&29) !(23&27&28) !(23&26&39) !(23&26&38) !(23&26&37) !(23&26&36) !(23&26&35) !(23&26&34) !(23&26&33) !(23&26&32) !(23&26&31) !(23&26&30) !(
            > 23&26&29) !(23&26&28) !(23&26&27) !(23&25&39) !(23&25&38) !(23&25&37) !(23&25&36) !(23&25&35) !(23&25&34) !(23&25&33) !(23&25&32) !(23&25&31) !(23&25&30) !(23&25&29)
            > !(23&25&28) !(23&25&27) !(23&25&26) !(23&24&39) !(23&24&38) !(23&24&37) !(23&24&36) !(23&24&35) !(23&24&34) !(23&24&33) !(23&24&32) !(23&24&31) !(23&24&30) !(23&24&29
            > ) !(23&24&28) !(23&24&27) !(23&24&26) !(23&24&25) !(22&38&39) !(22&37&39) !(22&37&38) !(22&36&39) !(22&36&38) !(22&36&37) !(22&35&39) !(22&35&38) !(22&35&37) !(22&35&
            > 36) !(22&34&39) !(22&34&38) !(22&34&37) !(22&34&36) !(22&34&35) !(22&33&39) !(22&33&38) !(22&33&37) !(22&33&36) !(22&33&35) !(22&33&34) !(22&32&39) !(22&32&38) !(22&3
            > 2&37) !(22&32&36) !(22&32&35) !(22&32&34) !(22&32&33) !(22&31&39) !(22&31&38) !(22&31&37) !(22&31&36) !(22&31&35) !(22&31&34) !(22&31&33) !(22&31&32) !(22&30&39) !(22
            > &30&38) !(22&30&37) !(22&30&36) !(22&30&35) !(22&30&34) !(22&30&33) !(22&30&32) !(22&30&31) !(22&29&39) !(22&29&38) !(22&29&37) !(22&29&36) !(22&29&35) !(22&29&34) !(
            > 22&29&33) !(22&29&32) !(22&29&31) !(22&29&30) !(22&28&39) !(22&28&38) !(22&28&37) !(22&28&36) !(22&28&35) !(22&28&34) !(22&28&33) !(22&28&32) !(22&28&31) !(22&28&30)
            > !(22&28&29) !(22&27&39) !(22&27&38) !(22&27&37) !(22&27&36) !(22&27&35) !(22&27&34) !(22&27&33) !(22&27&32) !(22&27&31) !(22&27&30) !(22&27&29) !(22&27&28) !(22&26&39
            > ) !(22&26&38) !(22&26&37) !(22&26&36) !(22&26&35) !(22&26&34) !(22&26&33) !(22&26&32) !(22&26&31) !(22&26&30) !(22&26&29) !(22&26&28) !(22&26&27) !(22&25&39) !(22&25&
            > 38) !(22&25&37) !(22&25&36) !(22&25&35) !(22&25&34) !(22&25&33) !(22&25&32) !(22&25&31) !(22&25&30) !(22&25&29) !(22&25&28) !(22&25&27) !(22&25&26) !(22&24&39) !(22&2
            > 4&38) !(22&24&37) !(22&24&36) !(22&24&35) !(22&24&34) !(22&24&33) !(22&24&32) !(22&24&31) !(22&24&30) !(22&24&29) !(22&24&28) !(22&24&27) !(22&24&26) !(22&24&25) !(22
            > &23&39) !(22&23&38) !(22&23&37) !(22&23&36) !(22&23&35) !(22&23&34) !(22&23&33) !(22&23&32) !(22&23&31) !(22&23&30) !(22&23&29) !(22&23&28) !(22&23&27) !(22&23&26) !(
            > 22&23&25) !(22&23&24) !(21&38&39) !(21&37&39) !(21&37&38) !(21&36&39) !(21&36&38) !(21&36&37) !(21&35&39) !(21&35&38) !(21&35&37) !(21&35&36) !(21&34&39) !(21&34&38)
            > !(21&34&37) !(21&34&36) !(21&34&35) !(21&33&39) !(21&33&38) !(21&33&37) !(21&33&36) !(21&33&35) !(21&33&34) !(21&32&39) !(21&32&38) !(21&32&37) !(21&32&36) !(21&32&35
            > ) !(21&32&34) !(21&32&33) !(21&31&39) !(21&31&38) !(21&31&37) !(21&31&36) !(21&31&35) !(21&31&34) !(21&31&33) !(21&31&32) !(21&30&39) !(21&30&38) !(21&30&37) !(21&30&
            > 36) !(21&30&35) !(21&30&34) !(21&30&33) !(21&30&32) !(21&30&31) !(21&29&39) !(21&29&38) !(21&29&37) !(21&29&36) !(21&29&35) !(21&29&34) !(21&29&33) !(21&29&32) !(21&2
            > 9&31) !(21&29&30) !(21&28&39) !(21&28&38) !(21&28&37) !(21&28&36) !(21&28&35) !(21&28&34) !(21&28&33) !(21&28&32) !(21&28&31) !(21&28&30) !(21&28&29) !(21&27&39) !(21
            > &27&38) !(21&27&37) !(21&27&36) !(21&27&35) !(21&27&34) !(21&27&33) !(21&27&32) !(21&27&31) !(21&27&30) !(21&27&29) !(21&27&28) !(21&26&39) !(21&26&38) !(21&26&37) !(
            > 21&26&36) !(21&26&35) !(21&26&34) !(21&26&33) !(21&26&32) !(21&26&31) !(21&26&30) !(21&26&29) !(21&26&28) !(21&26&27) !(21&25&39) !(21&25&38) !(21&25&37) !(21&25&36)
            > !(21&25&35) !(21&25&34) !(21&25&33) !(21&25&32) !(21&25&31) !(21&25&30) !(21&25&29) !(21&25&28) !(21&25&27) !(21&25&26) !(21&24&39) !(21&24&38) !(21&24&37) !(21&24&36
            > ) !(21&24&35) !(21&24&34) !(21&24&33) !(21&24&32) !(21&24&31) !(21&24&30) !(21&24&29) !(21&24&28) !(21&24&27) !(21&24&26) !(21&24&25) !(21&23&39) !(21&23&38) !(21&23&
            > 37) !(21&23&36) !(21&23&35) !(21&23&34) !(21&23&33) !(21&23&32) !(21&23&31) !(21&23&30) !(21&23&29) !(21&23&28) !(21&23&27) !(21&23&26) !(21&23&25) !(21&23&24) !(21&2
            > 2&39) !(21&22&38) !(21&22&37) !(21&22&36) !(21&22&35) !(21&22&34) !(21&22&33) !(21&22&32) !(21&22&31) !(21&22&30) !(21&22&29) !(21&22&28) !(21&22&27) !(21&22&26) !(21
            > &22&25) !(21&22&24) !(21&22&23)"'
            Last edited by Hemanshu Kumar; Yesterday, 21:58.

            Comment


            • #7
              Mike Lacy : Thanks for offering assistance! However, I can solve my task without the use of tuples by determining the optimal seed number directly after each simulation block and writing a respective string with the command that uses this seed number into a string variable in a second frame. Subsequently I can use that variable (containing the Stata code) further.

              There is still the question why Stata crashes when using tuples as in the example in #1. But this is a question to the programmers (Joseph Luchman, daniel klein, and Nick Cox) or StataCorp. And a secondary question here is whether the conditionals() option could more effectively be used instead of the rather complicated creation of the local macro `notupel` (should have better been named `notuples`) (and to reproduce the problem lines 1-3 should be "commented out", not "de-commented" as I wrote in #1).

              Comment

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