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Re: st: R: Is there a better way of allocating individuals into different categories based on the probability of an event?
From
Gwinyai Masukume <[email protected]>
To
[email protected]
Subject
Re: st: R: Is there a better way of allocating individuals into different categories based on the probability of an event?
Date
Sat, 23 Mar 2013 10:51:31 +0200
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 <[email protected]> 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: [email protected]
> [mailto:[email protected]] Per conto di Gwinyai Masukume
> Inviato: sabato 23 marzo 2013 04:16
> A: [email protected]
> 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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