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From |
Gwinyai Masukume <parturitions@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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 <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 > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**R: st: R: Is there a better way of allocating individuals into different categories based on the probability of an event?***From:*"Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>

**References**:**st: Is there a better way of allocating individuals into different categories based on the probability of an event?***From:*Gwinyai Masukume <parturitions@gmail.com>

**st: R: Is there a better way of allocating individuals into different categories based on the probability of an event?***From:*"Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>

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