Re: st: R: Is there a better way of allocating individuals into different categories based on the probability of an event?

[Gwinyai Masukume <parturitions@gmail.com>]

True; apparently trivial issues can cause not so trivial issues.
Kind regards,
Gwinyai

On 3/23/13, Carlo Lazzaro <carlo.lazzaro@tiscalinet.it> wrote:
> Dear Gwinyai,
> thanks for pointing this out.
> Sometimes, I have experienced, things do not go as expected due to trivial
> details.
> Happy with reading this was not your case, though.
> Best regards,
> Carlo
>
> -----Messaggio originale-----
> Da: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Gwinyai Masukume
> Inviato: sabato 23 marzo 2013 09:52
> A: statalist@hsphsun2.harvard.edu
> Oggetto: Re: st: R: Is there a better way of allocating individuals into
> different categories based on the probability of an event?
>
> Thanks. I had set the obs and seed upstream of that code I quoted. I was
> concerned that my method of categorising Smokers and Non-smokers looked
> sloppy.
> Thanks,
> Gwinyai
>
> On 3/23/13, Carlo Lazzaro <carlo.lazzaro@tiscalinet.it> wrote:
>> Dear Gwinyai,
>> the first trivial step to make your code running is setting the number
>> of
>> observations:
>> -----------------------------------------------------
>> set obs  100 //or whatever you like or need gen
>> smoker1=int(1+(50000-1)*runiform())
>> gen smoker=0 if smoker1 < 42000
>> replace smoker=1 if smoker1 >= 42000
>> label define smoker_label 0"Non-smoker" 1"Smoker"
>> label values smoker smoker_label
>> label variable smoker "Smoking status"
>> drop smoker1
>> -----------------------------------------------------
>>
>> Joseph has already commented on more substantive details.
>>
>> Kindest regards,
>> Carlo
>> -----Messaggio originale-----
>> Da: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Gwinyai
>> Masukume
>> Inviato: sabato 23 marzo 2013 04:16
>> A: statalist@hsphsun2.harvard.edu
>> Oggetto: st: Is there a better way of allocating individuals into
>> different categories based on the probability of an event?
>>
>> Dear Stata-listers,
>>
>> Is there a better way of executing the code below which assigns
>> individuals into the Non-smoker and Smoker categories based on the
>> probability of smoking in pregnancy?
>>
>> ****0=Non-smoker, 1=Smoker***
>> **** Assuming 84% of women do not smoke during pregnancy
>> **** Johnston V, Thomas DP, McDonnell J, Andrews RM. Maternal smoking
>> and smoking in the household during pregnancy and postpartum: findings
>> from an Indigenous cohort in the Northern Territory. Med J Aust. 2011
>> May 16;194(10):556-9.
>> gen smoker1=int(1+(50000-1)*runiform())
>> gen smoker=0 if smoker1 < 42000
>> replace smoker=1 if smoker1 >= 42000
>> label define smoker_label 0"Non-smoker" 1"Smoker"
>> label values smoker smoker_label
>> label variable smoker "Smoking status"
>> drop smoker1
>>
>> Kind regards,
>> Gwinyai
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