I am simulating sickness among a group of families. Part of the task is
to randomly draw who in the family will be sick, randomly drawing from
family ID's where Dad =1, Mom = 2, Kid1 = 3, Kid2 = 4., etc. My census of
Dads is of the form shown below.
Dad_ID Spouse (Y=1;N=0) #Kids #People_Becoming_Sick
1 1 0 1
2 0 2 2
3 1 0 2
4 1 3 3
...
The end output needed is if 3 people in a family are to be sick, was it
the dad and two kids, with random family ID's = {1,3,4}, or the mom, dad,
and one kid, with random family ID's = {2,1,4}, etc.. The complication
is that length of the family ID's to choose from and the associated
sampling probabilities -- changes with each family. I could loop through
the Dads, from i in 1:nrow(census), but is there a way I could vectorize
sample() to get at the same objective?
My attempts to use the apply-based functions have dead ended. Other ideas
to vectorize this problem are warmly welcomed.
Regards,
Stephen Collins, MPP | Analyst
Health & Benefits | Aon Consulting
200 East Randolph, Suite 900, Chicago, IL
Tel: 312-381-2578 | Fax: 312-381-0136
Email: [EMAIL PROTECTED]
Aon Consulting selected by the readers of Business Insurance as the âBest
Employee Benefit Consulting Firmâ in 2006, 2007, and 2008
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