RE : st: Loop with forvalues ..

[<alvine.bissery@chu-lyon.fr>]

Thank you for your help, but the number of measurement is different from
patient to patient. So I need to get the maximum value of measurement:

egen max_mes=max(nb_mes)

And then use

 forvalues i=1/`max_mes' {

Is there a way to do that ?

I try 

 local n=max_mes
 forvalues i=1/`n' {

But it doesn't work

Thank you


-----Message d'origine-----
De : owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] De la part de Svend Juul
Envoy� : 06 November 2006 17:43
� : statalist@hsphsun2.harvard.edu
Objet : Re: st: Loop with forvalues .. 


Alvine wrote:
 
I have a date set with 1 line per patient, and many measures by patient
(mes1, mes2, mes3, ...). The number of measurement is given by the nb_mes
variable.
 
id mes1 mes2 mes3  mes4 nb_mes
1  30  21  25  46  4
2  26  24    2
3  14  15  13   3
 
For each patient, I would like to calculate the difference :  mes2-mes1,
mes3-mes, ..., until : mes`nb_mes'-mes1
 
I've tried this:
 
forvalues i=2/`nb_dos' {
local im1=`i'-1
gen diff`im1'=mes`i'-mes1
}

------------------------------------------------------
 
What is nb_dos? Do you mean nb_mes?
 
Even `nb_mes' does not work; nb_mes is a variable, and you can 
not treat it as a local macro which is a kind of constant.
You must know something about the maximum number of measurements (below I
assume 4), so just:
 
   clear
   input id mes1 mes2 mes3 mes4
   1 30 21 25 46
   2 26 24  .  .
   3 14 15 13  .
   end
 
   forvalues i=2/4 {
      gen diff`i'=mes`i'-mes1
   }
 
   list, clean
       id   mes1   mes2   mes3   mes4   diff2   diff3   diff4  
  1.    1     30     21     25     46      -9      -5      16  
  2.    2     26     24      .      .      -2       .       .  
  3.    3     14     15     13      .       1      -1       .  
 
(I suggest that you name the difference mes7-mes1 diff7, not diff6)
 
Hope this helps
Svend
 
 
________________________________________________________ 
 
Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology) Vennelyst Boulevard
6 
DK-8000 Aarhus C,  Denmark 
Phone, work:  +45 8942 6090 
Phone, home:  +45 8693 7796 
Fax:          +45 8613 1580 
E-mail:       sj@soci.au.dk 
_________________________________________________________ 

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